updates for yolov9 coral support

* fix config examples

* remove reference to trt model generation script

* tweak tmpfs comment

* update old version

* tweak tmpfs comment

* clean up and clarify tensorrt

* re-add size

* Update docs/docs/configuration/hardware_acceleration_enrichments.md

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

docs/docs/configuration/authentication.md

@@ -166,6 +166,10 @@ In this example:
 - If no mapping matches, Frigate falls back to `default_role` if configured.
 - If `role_map` is not defined, Frigate assumes the role header directly contains `admin`, `viewer`, or a custom role name.
 
+**Note on matching semantics:**
+
+- Admin precedence: if the `admin` mapping matches, Frigate resolves the session to `admin` to avoid accidental downgrade when a user belongs to multiple groups (for example both `admin` and `viewer` groups).
+
 #### Port Considerations
 
 **Authenticated Port (8971)**

docs/docs/configuration/hardware_acceleration_enrichments.md

@@ -12,23 +12,20 @@ Some of Frigate's enrichments can use a discrete GPU or integrated GPU for accel
 Object detection and enrichments (like Semantic Search, Face Recognition, and License Plate Recognition) are independent features. To use a GPU / NPU for object detection, see the [Object Detectors](/configuration/object_detectors.md) documentation. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU / NPU and configure the enrichment according to its specific documentation.
 
 - **AMD**
-
   - ROCm support in the `-rocm` Frigate image is automatically detected for enrichments, but only some enrichment models are available due to ROCm's focus on LLMs and limited stability with certain neural network models. Frigate disables models that perform poorly or are unstable to ensure reliable operation, so only compatible enrichments may be active.
 
 - **Intel**
-
   - OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
   - **Note:** Intel NPUs have limited model support for enrichments. GPU is recommended for enrichments when available.
 
 - **Nvidia**
-
   - Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
   - Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
 
 - **RockChip**
   - RockChip NPU will automatically be detected and used for semantic search v1 and face recognition in the `-rk` Frigate image.
 
-Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is TensorRT for object detection and OpenVINO for enrichments.
+Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image to run enrichments on an Nvidia GPU and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is the `tensorrt` image for object detection on an Nvidia GPU and Intel iGPU for enrichments.
 
 :::note
 

docs/docs/configuration/index.md

@@ -29,12 +29,12 @@ cameras:
 
 When running Frigate through the HA Add-on, the Frigate `/config` directory is mapped to `/addon_configs/<addon_directory>` in the host, where `<addon_directory>` is specific to the variant of the Frigate Add-on you are running.
 
-| Add-on Variant             | Configuration directory                      |
-| -------------------------- | -------------------------------------------- |
-| Frigate                    | `/addon_configs/ccab4aaf_frigate`            |
-| Frigate (Full Access)      | `/addon_configs/ccab4aaf_frigate-fa`         |
-| Frigate Beta               | `/addon_configs/ccab4aaf_frigate-beta`       |
-| Frigate Beta (Full Access) | `/addon_configs/ccab4aaf_frigate-fa-beta`    |
+| Add-on Variant             | Configuration directory                   |
+| -------------------------- | ----------------------------------------- |
+| Frigate                    | `/addon_configs/ccab4aaf_frigate`         |
+| Frigate (Full Access)      | `/addon_configs/ccab4aaf_frigate-fa`      |
+| Frigate Beta               | `/addon_configs/ccab4aaf_frigate-beta`    |
+| Frigate Beta (Full Access) | `/addon_configs/ccab4aaf_frigate-fa-beta` |
 
 **Whenever you see `/config` in the documentation, it refers to this directory.**
 
@@ -109,15 +109,16 @@ detectors:
 
 record:
   enabled: True
-  retain:
+  motion:
     days: 7
-    mode: motion
   alerts:
     retain:
       days: 30
+      mode: motion
   detections:
     retain:
       days: 30
+      mode: motion
 
 snapshots:
   enabled: True
@@ -165,15 +166,16 @@ detectors:
 
 record:
   enabled: True
-  retain:
+  motion:
     days: 7
-    mode: motion
   alerts:
     retain:
       days: 30
+      mode: motion
   detections:
     retain:
       days: 30
+      mode: motion
 
 snapshots:
   enabled: True
@@ -231,15 +233,16 @@ model:
 
 record:
   enabled: True
-  retain:
+  motion:
     days: 7
-    mode: motion
   alerts:
     retain:
       days: 30
+      mode: motion
   detections:
     retain:
       days: 30
+      mode: motion
 
 snapshots:
   enabled: True

docs/docs/configuration/object_detectors.md

@@ -34,7 +34,7 @@ Frigate supports multiple different detectors that work on different types of ha
 
 **Nvidia GPU**
 
-- [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
+- [ONNX](#onnx): Nvidia GPUs will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
 
 **Nvidia Jetson** <CommunityBadge />
 
@@ -65,7 +65,7 @@ This does not affect using hardware for accelerating other tasks such as [semant
 
 # Officially Supported Detectors
 
-Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `hailo8l`, `memryx`, `onnx`, `openvino`, `rknn`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
+Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
 
 ## Edge TPU Detector
 
@@ -157,7 +157,13 @@ A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite`
 
 #### YOLOv9
 
-YOLOv9 models that are compiled for TensorFlow Lite and properly quantized are supported, but not included by default. [Download the model](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite), bind mount the file into the container, and provide the path with `model.path`. Note that the linked model requires a 17-label [labelmap file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) that includes only 17 COCO classes.
+YOLOv9 models that are compiled for TensorFlow Lite and properly quantized are supported, but not included by default. [Instructions](#yolov9-for-google-coral-support) for downloading a model with support for the Google Coral.
+
+:::tip
+
+**Frigate+ Users:** Follow the [instructions](../integrations/plus#use-models) to set a model ID in your config file.
+
+:::
 
 <details>
   <summary>YOLOv9 Setup & Config</summary>
@@ -654,11 +660,9 @@ ONNX is an open format for building machine learning models, Frigate supports ru
 If the correct build is used for your GPU then the GPU will be detected and used automatically.
 
 - **AMD**
-
   - ROCm will automatically be detected and used with the ONNX detector in the `-rocm` Frigate image.
 
 - **Intel**
-
   - OpenVINO will automatically be detected and used with the ONNX detector in the default Frigate image.
 
 - **Nvidia**
@@ -1514,11 +1518,11 @@ RF-DETR can be exported as ONNX by running the command below. You can copy and p
 
 ```sh
 docker build . --build-arg MODEL_SIZE=Nano --rm --output . -f- <<'EOF'
-FROM python:3.11 AS build
+FROM python:3.12 AS build
 RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
-COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
+COPY --from=ghcr.io/astral-sh/uv:0.10.4 /uv /bin/
 WORKDIR /rfdetr
-RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnx==1.19.1 onnxscript
+RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnx==1.19.1 transformers==4.57.6 onnxscript
 ARG MODEL_SIZE
 RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export(simplify=True)"
 FROM scratch
@@ -1556,7 +1560,11 @@ cd tensorrt_demos/yolo
 python3 yolo_to_onnx.py -m yolov7-320
 ```
 
-#### YOLOv9
+#### YOLOv9 for Google Coral Support
+
+[Download the model](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite), bind mount the file into the container, and provide the path with `model.path`. Note that the linked model requires a 17-label [labelmap file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) that includes only 17 COCO classes.
+
+#### YOLOv9 for other detectors
 
 YOLOv9 model can be exported as ONNX using the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=t` and `IMG_SIZE=320` in the first line to the [model size](https://github.com/WongKinYiu/yolov9#performance) you would like to convert (available model sizes are `t`, `s`, `m`, `c`, and `e`, common image sizes are `320` and `640`).
 

docs/docs/configuration/snapshots.md

@@ -9,4 +9,25 @@ Snapshots are accessible in the UI in the Explore pane. This allows for quick su
 
 To only save snapshots for objects that enter a specific zone, [see the zone docs](./zones.md#restricting-snapshots-to-specific-zones)
 
-Snapshots sent via MQTT are configured in the [config file](https://docs.frigate.video/configuration/) under `cameras -> your_camera -> mqtt`
+Snapshots sent via MQTT are configured in the [config file](/configuration) under `cameras -> your_camera -> mqtt`
+
+## Frame Selection
+
+Frigate does not save every frame — it picks a single "best" frame for each tracked object and uses it for both the snapshot and clean copy. As the object is tracked across frames, Frigate continuously evaluates whether the current frame is better than the previous best based on detection confidence, object size, and the presence of key attributes like faces or license plates. Frames where the object touches the edge of the frame are deprioritized. The snapshot is written to disk once tracking ends using whichever frame was determined to be the best.
+
+MQTT snapshots are published more frequently — each time a better thumbnail frame is found during tracking, or when the current best image is older than `best_image_timeout` (default: 60s). These use their own annotation settings configured under `cameras -> your_camera -> mqtt`.
+
+## Clean Copy
+
+Frigate can produce up to two snapshot files per event, each used in different places:
+
+| Version | File | Annotations | Used by |
+| --- | --- | --- | --- |
+| **Regular snapshot** | `<camera>-<id>.jpg` | Respects your `timestamp`, `bounding_box`, `crop`, and `height` settings | API (`/api/events/<id>/snapshot.jpg`), MQTT (`<camera>/<label>/snapshot`), Explore pane in the UI |
+| **Clean copy** | `<camera>-<id>-clean.webp` | Always unannotated — no bounding box, no timestamp, no crop, full resolution | API (`/api/events/<id>/snapshot-clean.webp`), [Frigate+](/plus/first_model) submissions, "Download Clean Snapshot" in the UI |
+
+MQTT snapshots are configured separately under `cameras -> your_camera -> mqtt` and are unrelated to the clean copy.
+
+The clean copy is required for submitting events to [Frigate+](/plus/first_model) — if you plan to use Frigate+, keep `clean_copy` enabled regardless of your other snapshot settings.
+
+If you are not using Frigate+ and `timestamp`, `bounding_box`, and `crop` are all disabled, the regular snapshot is already effectively clean, so `clean_copy` provides no benefit and only uses additional disk space. You can safely set `clean_copy: False` in this case.

docs/docs/frigate/hardware.md

@@ -41,8 +41,8 @@ If the EQ13 is out of stock, the link below may take you to a suggested alternat
 | Name                                                                                                          | Capabilities                                                               | Notes                                               |
 | ------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | --------------------------------------------------- |
 | Beelink EQ13 (<a href="https://amzn.to/4jn2qVr" target="_blank" rel="nofollow noopener sponsored">Amazon</a>) | Can run object detection on several 1080p cameras with low-medium activity | Dual gigabit NICs for easy isolated camera network. |
-| Intel 1120p ([Amazon](https://www.amazon.com/Beelink-i3-1220P-Computer-Display-Gigabit/dp/B0DDCKT9YP)         | Can handle a large number of 1080p cameras with high activity              |                                                     |
-| Intel 125H ([Amazon](https://www.amazon.com/MINISFORUM-Pro-125H-Barebone-Computer-HDMI2-1/dp/B0FH21FSZM)      | Can handle a significant number of 1080p cameras with high activity        | Includes NPU for more efficient detection in 0.17+  |
+| Intel 1120p ([Amazon](https://www.amazon.com/Beelink-i3-1220P-Computer-Display-Gigabit/dp/B0DDCKT9YP))        | Can handle a large number of 1080p cameras with high activity              |                                                     |
+| Intel 125H ([Amazon](https://www.amazon.com/MINISFORUM-Pro-125H-Barebone-Computer-HDMI2-1/dp/B0FH21FSZM))     | Can handle a significant number of 1080p cameras with high activity        | Includes NPU for more efficient detection in 0.17+  |
 
 ## Detectors
 
@@ -86,7 +86,7 @@ Frigate supports multiple different detectors that work on different types of ha
 
 **Nvidia**
 
-- [TensortRT](#tensorrt---nvidia-gpu): TensorRT can run on Nvidia GPUs to provide efficient object detection.
+- [Nvidia GPU](#nvidia-gpus): Nvidia GPUs can provide efficient object detection.
   - [Supports majority of model architectures via ONNX](../../configuration/object_detectors#onnx-supported-models)
   - Runs well with any size models including large
 
@@ -172,7 +172,7 @@ Inference speeds vary greatly depending on the CPU or GPU used, some known examp
 | Intel Arc A380 | ~ 6 ms                     |                                                   | 320: ~ 10 ms 640: ~ 22 ms | 336: 20 ms 448: 27 ms  |                                    |
 | Intel Arc A750 | ~ 4 ms                     |                                                   | 320: ~ 8 ms               |                        |                                    |
 
-### TensorRT - Nvidia GPU
+### Nvidia GPUs
 
 Frigate is able to utilize an Nvidia GPU which supports the 12.x series of CUDA libraries.
 
@@ -182,17 +182,15 @@ Frigate is able to utilize an Nvidia GPU which supports the 12.x series of CUDA
 
 Make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.
 
-There are improved capabilities in newer GPU architectures that TensorRT can benefit from, such as INT8 operations and Tensor cores. The features compatible with your hardware will be optimized when the model is converted to a trt file. Currently the script provided for generating the model provides a switch to enable/disable FP16 operations. If you wish to use newer features such as INT8 optimization, more work is required.
-
 #### Compatibility References:
 
-[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-841/support-matrix/index.html)
+[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/getting-started/support-matrix.html)
 
 [NVIDIA CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
 
 [NVIDIA GPU Compute Capability](https://developer.nvidia.com/cuda-gpus)
 
-Inference speeds will vary greatly depending on the GPU and the model used.
+Inference is done with the `onnx` detector type. Speeds will vary greatly depending on the GPU and the model used.
 `tiny (t)` variants are faster than the equivalent non-tiny model, some known examples are below:
 
 ✅ - Accelerated with CUDA Graphs

docs/docs/frigate/installation.md

@@ -56,7 +56,7 @@ services:
     volumes:
       - /path/to/your/config:/config
       - /path/to/your/storage:/media/frigate
-      - type: tmpfs # Recommended: 1GB of memory
+      - type: tmpfs # 1GB In-memory filesystem for recording segment storage
         target: /tmp/cache
         tmpfs:
           size: 1000000000
@@ -123,7 +123,7 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
    :::note
 
    If you are **not** using a Raspberry Pi with **Bookworm OS**, skip this step and proceed directly to step 2.
-   
+
    If you are using Raspberry Pi with **Trixie OS**, also skip this step and proceed directly to step 2.
 
    :::
@@ -133,13 +133,13 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
    ```bash
    lsmod | grep hailo
    ```
-   
+
    If it shows `hailo_pci`, unload it:
 
    ```bash
    sudo modprobe -r hailo_pci
    ```
-   
+
    Then locate the built-in kernel driver and rename it so it cannot be loaded.
    Renaming allows the original driver to be restored later if needed.
    First, locate the currently installed kernel module:
@@ -149,28 +149,29 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
    ```
 
    Example output:
-   
+
    ```
    /lib/modules/6.6.31+rpt-rpi-2712/kernel/drivers/media/pci/hailo/hailo_pci.ko.xz
    ```
+
    Save the module path to a variable:
-   
+
    ```bash
    BUILTIN=$(modinfo -n hailo_pci)
    ```
 
    And rename the module by appending .bak:
-    
+
    ```bash
    sudo mv "$BUILTIN" "${BUILTIN}.bak"
    ```
-   
+
    Now refresh the kernel module map so the system recognizes the change:
-   
+
    ```bash
    sudo depmod -a
    ```
-   
+
    Reboot your Raspberry Pi:
 
    ```bash
@@ -185,7 +186,7 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
 
    This command should return no results.
 
-3. **Run the installation script**:
+2. **Run the installation script**:
 
    Download the installation script:
 
@@ -206,14 +207,13 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
    ```
 
    The script will:
-
    - Install necessary build dependencies
    - Clone and build the Hailo driver from the official repository
    - Install the driver
    - Download and install the required firmware
    - Set up udev rules
 
-4. **Reboot your system**:
+3. **Reboot your system**:
 
    After the script completes successfully, reboot to load the firmware:
 
@@ -221,7 +221,7 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
    sudo reboot
    ```
 
-5. **Verify the installation**:
+4. **Verify the installation**:
 
    After rebooting, verify that the Hailo device is available:
 
@@ -236,18 +236,18 @@ On Raspberry Pi OS **Trixie**, the Hailo driver is no longer shipped with the ke
    ```
 
    Verify the driver version:
-   
+
    ```bash
    cat /sys/module/hailo_pci/version
    ```
-   
+
    Verify that the firmware was installed correctly:
-   
+
    ```bash
    ls -l /lib/firmware/hailo/hailo8_fw.bin
    ```
 
-  **Optional: Fix PCIe descriptor page size error**
+   **Optional: Fix PCIe descriptor page size error**
 
    If you encounter the following error:
 
@@ -462,7 +462,7 @@ services:
       - /etc/localtime:/etc/localtime:ro
       - /path/to/your/config:/config
       - /path/to/your/storage:/media/frigate
-      - type: tmpfs # Recommended: 1GB of memory
+      - type: tmpfs # 1GB In-memory filesystem for recording segment storage
         target: /tmp/cache
         tmpfs:
           size: 1000000000
@@ -502,12 +502,12 @@ The official docker image tags for the current stable version are:
 
 - `stable` - Standard Frigate build for amd64 & RPi Optimized Frigate build for arm64. This build includes support for Hailo devices as well.
 - `stable-standard-arm64` - Standard Frigate build for arm64
-- `stable-tensorrt` - Frigate build specific for amd64 devices running an nvidia GPU
+- `stable-tensorrt` - Frigate build specific for amd64 devices running an Nvidia GPU
 - `stable-rocm` - Frigate build for [AMD GPUs](../configuration/object_detectors.md#amdrocm-gpu-detector)
 
 The community supported docker image tags for the current stable version are:
 
-- `stable-tensorrt-jp6` - Frigate build optimized for nvidia Jetson devices running Jetpack 6
+- `stable-tensorrt-jp6` - Frigate build optimized for Nvidia Jetson devices running Jetpack 6
 - `stable-rk` - Frigate build for SBCs with Rockchip SoC
 
 ## Home Assistant Add-on
@@ -521,7 +521,7 @@ There are important limitations in HA OS to be aware of:
 - Separate local storage for media is not yet supported by Home Assistant
 - AMD GPUs are not supported because HA OS does not include the mesa driver.
 - Intel NPUs are not supported because HA OS does not include the NPU firmware.
-- Nvidia GPUs are not supported because addons do not support the nvidia runtime.
+- Nvidia GPUs are not supported because addons do not support the Nvidia runtime.
 
 :::
 
@@ -689,3 +689,43 @@ docker run \
 ```
 
 Log into QNAP, open Container Station. Frigate docker container should be listed under 'Overview' and running. Visit Frigate Web UI by clicking Frigate docker, and then clicking the URL shown at the top of the detail page.
+
+## macOS - Apple Silicon
+
+:::warning
+
+macOS uses port 5000 for its Airplay Receiver service. If you want to expose port 5000 in Frigate for local app and API access the port will need to be mapped to another port on the host e.g. 5001
+
+Failure to remap port 5000 on the host will result in the WebUI and all API endpoints on port 5000 being unreachable, even if port 5000 is exposed correctly in Docker.
+
+:::
+
+Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native swift app). The difference in inference speeds is negligable, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
+
+To allow Frigate to use the Apple Silicon Neural Engine / Processing Unit (NPU) the host must be running [Apple Silicon Detector](../configuration/object_detectors.md#apple-silicon-detector) on the host (outside Docker)
+
+#### Docker Compose example
+
+```yaml
+services:
+  frigate:
+    container_name: frigate
+    image: ghcr.io/blakeblackshear/frigate:stable-standard-arm64
+    restart: unless-stopped
+    shm_size: "512mb" # update for your cameras based on calculation above
+    volumes:
+      - /etc/localtime:/etc/localtime:ro
+      - /path/to/your/config:/config
+      - /path/to/your/recordings:/recordings
+    ports:
+      - "8971:8971"
+      # If exposing on macOS map to a diffent host port like 5001 or any orher port with no conflicts
+      # - "5001:5000" # Internal unauthenticated access. Expose carefully.
+      - "8554:8554" # RTSP feeds
+    extra_hosts:
+      # This is very important
+      # It allows frigate access to the NPU on Apple Silicon via Apple Silicon Detector
+      - "host.docker.internal:host-gateway" # Required to talk to the NPU detector
+    environment:
+      - FRIGATE_RTSP_PASSWORD: "password"
+```

docs/docs/frigate/updating.md

@@ -20,7 +20,6 @@ Keeping Frigate up to date ensures you benefit from the latest features, perform
 If you’re running Frigate via Docker (recommended method), follow these steps:
 
 1. **Stop the Container**:
-
    - If using Docker Compose:
      ```bash
      docker compose down frigate
@@ -31,9 +30,8 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
      ```
 
 2. **Update and Pull the Latest Image**:
-
    - If using Docker Compose:
-     - Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.17.0` instead of `0.16.3`). For example:
+     - Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.17.0` instead of `0.16.4`). For example:
        ```yaml
        services:
          frigate:
@@ -51,7 +49,6 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
        ```
 
 3. **Start the Container**:
-
    - If using Docker Compose:
      ```bash
      docker compose up -d
@@ -75,18 +72,15 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
 For users running Frigate as a Home Assistant Addon:
 
 1. **Check for Updates**:
-
    - Navigate to **Settings > Add-ons** in Home Assistant.
    - Find your installed Frigate addon (e.g., "Frigate NVR" or "Frigate NVR (Full Access)").
    - If an update is available, you’ll see an "Update" button.
 
 2. **Update the Addon**:
-
    - Click the "Update" button next to the Frigate addon.
    - Wait for the process to complete. Home Assistant will handle downloading and installing the new version.
 
 3. **Restart the Addon**:
-
    - After updating, go to the addon’s page and click "Restart" to apply the changes.
 
 4. **Verify the Update**:
@@ -105,8 +99,8 @@ If an update causes issues:
 1. Stop Frigate.
 2. Restore your backed-up config file and database.
 3. Revert to the previous image version:
-   - For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`) in your `docker run` command.
-   - For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`), and re-run `docker compose up -d`.
+   - For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.4`) in your `docker run` command.
+   - For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.4`), and re-run `docker compose up -d`.
    - For Home Assistant: Reinstall the previous addon version manually via the repository if needed and restart the addon.
 4. Verify the old version is running again.
 

docs/docs/guides/getting_started.md

@@ -119,7 +119,7 @@ services:
     volumes:
       - ./config:/config
       - ./storage:/media/frigate
-      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
+      - type: tmpfs # 1GB In-memory filesystem for recording segment storage
         target: /tmp/cache
         tmpfs:
           size: 1000000000

docs/docs/integrations/home-assistant.md

@@ -16,7 +16,15 @@ See the [MQTT integration
 documentation](https://www.home-assistant.io/integrations/mqtt/) for more
 details.
 
-In addition, MQTT must be enabled in your Frigate configuration file and Frigate must be connected to the same MQTT server as Home Assistant for many of the entities created by the integration to function.
+In addition, MQTT must be enabled in your Frigate configuration file and Frigate must be connected to the same MQTT server as Home Assistant for many of the entities created by the integration to function, e.g.:
+
+```yaml
+mqtt:
+  enabled: True
+  host: mqtt.server.com # the address of your HA server that's running the MQTT integration
+  user: your_mqtt_broker_username
+  password: your_mqtt_broker_password
+```
 
 ### Integration installation
 
@@ -95,12 +103,12 @@ services:
 
 If you are using Home Assistant Add-on, the URL should be one of the following depending on which Add-on variant you are using. Note that if you are using the Proxy Add-on, you should NOT point the integration at the proxy URL. Just enter the same URL used to access Frigate directly from your network.
 
-| Add-on Variant             | URL                                       |
-| -------------------------- | ----------------------------------------- |
-| Frigate                    | `http://ccab4aaf-frigate:5000`            |
-| Frigate (Full Access)      | `http://ccab4aaf-frigate-fa:5000`         |
-| Frigate Beta               | `http://ccab4aaf-frigate-beta:5000`       |
-| Frigate Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000`    |
+| Add-on Variant             | URL                                    |
+| -------------------------- | -------------------------------------- |
+| Frigate                    | `http://ccab4aaf-frigate:5000`         |
+| Frigate (Full Access)      | `http://ccab4aaf-frigate-fa:5000`      |
+| Frigate Beta               | `http://ccab4aaf-frigate-beta:5000`    |
+| Frigate Beta (Full Access) | `http://ccab4aaf-frigate-fa-beta:5000` |
 
 ### Frigate running on a separate machine
 

docs/docs/integrations/mqtt.md

@@ -120,7 +120,7 @@ Message published for each changed tracked object. The first message is publishe
 
 ### `frigate/tracked_object_update`
 
-Message published for updates to tracked object metadata, for example:
+Message published for updates to tracked object metadata. All messages include an `id` field which is the tracked object's event ID, and can be used to look up the event via the API or match it to items in the UI.
 
 #### Generative AI Description Update
 
@@ -134,12 +134,14 @@ Message published for updates to tracked object metadata, for example:
 
 #### Face Recognition Update
 
+Published after each recognition attempt, regardless of whether the score meets `recognition_threshold`. See the [Face Recognition](/configuration/face_recognition) documentation for details on how scoring works.
+
 ```json
 {
   "type": "face",
   "id": "1607123955.475377-mxklsc",
-  "name": "John",
-  "score": 0.95,
+  "name": "John", // best matching person, or null if no match
+  "score": 0.95, // running weighted average across all recognition attempts
   "camera": "front_door_cam",
   "timestamp": 1607123958.748393
 }
@@ -147,11 +149,13 @@ Message published for updates to tracked object metadata, for example:
 
 #### License Plate Recognition Update
 
+Published when a license plate is recognized on a car object. See the [License Plate Recognition](/configuration/license_plate_recognition) documentation for details.
+
 ```json
 {
   "type": "lpr",
   "id": "1607123955.475377-mxklsc",
-  "name": "John's Car",
+  "name": "John's Car", // known name for the plate, or null
   "plate": "123ABC",
   "score": 0.95,
   "camera": "driveway_cam",

docs/docs/integrations/plus.md

@@ -54,6 +54,8 @@ Once you have [requested your first model](../plus/first_model.md) and gotten yo
 You can either choose the new model from the Frigate+ pane in the Settings page of the Frigate UI, or manually set the model at the root level in your config:
 
 ```yaml
+detectors: ...
+
 model:
   path: plus://<your_model_id>
 ```

docs/docs/plus/first_model.md

@@ -24,6 +24,8 @@ You will receive an email notification when your Frigate+ model is ready.
 Models available in Frigate+ can be used with a special model path. No other information needs to be configured because it fetches the remaining config from Frigate+ automatically.
 
 ```yaml
+detectors: ...
+
 model:
   path: plus://<your_model_id>
 ```

docs/docs/plus/index.md

@@ -15,15 +15,15 @@ There are three model types offered in Frigate+, `mobiledet`, `yolonas`, and `yo
 
 Not all model types are supported by all detectors, so it's important to choose a model type to match your detector as shown in the table under [supported detector types](#supported-detector-types). You can test model types for compatibility and speed on your hardware by using the base models.
 
-| Model Type  | Description                                                                                                                                                                                                                    |
-| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs.                                                                                                              |
-| `yolonas`   | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs.                                                                                   |
-| `yolov9`    | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on Intel, NVidia GPUs, AMD GPUs, Hailo, MemryX, Apple Silicon, and Rockchip NPUs. |
+| Model Type  | Description                                                                                                                                                    |
+| ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs.                                              |
+| `yolonas`   | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs.                   |
+| `yolov9`    | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on most hardware. |
 
 ### YOLOv9 Details
 
-YOLOv9 models are available in `s` and `t` sizes. When requesting a `yolov9` model, you will be prompted to choose a size. If you are unsure what size to choose, you should perform some tests with the base models to find the performance level that suits you. The `s` size is most similar to the current `yolonas` models in terms of inference times and accuracy, and a good place to start is the `320x320` resolution model for `yolov9s`.
+YOLOv9 models are available in `s`, `t`, `edgetpu` variants. When requesting a `yolov9` model, you will be prompted to choose a variant. If you want the model to be compatible with a Google Coral, you will need to choose the `edgetpu` variant. If you are unsure what variant to choose, you should perform some tests with the base models to find the performance level that suits you. The `s` size is most similar to the current `yolonas` models in terms of inference times and accuracy, and a good place to start is the `320x320` resolution model for `yolov9s`.
 
 :::info
 
@@ -37,23 +37,21 @@ If you have a Hailo device, you will need to specify the hardware you have when
 
 #### Rockchip (RKNN) Support
 
-For 0.16, YOLOv9 onnx models will need to be manually converted. First, you will need to configure Frigate to use the model id for your YOLOv9 onnx model so it downloads the model to your `model_cache` directory. From there, you can follow the [documentation](/configuration/object_detectors.md#converting-your-own-onnx-model-to-rknn-format) to convert it. Automatic conversion is available in 0.17 and later.
+Rockchip models are automatically converted as of 0.17. For 0.16, YOLOv9 onnx models will need to be manually converted. First, you will need to configure Frigate to use the model id for your YOLOv9 onnx model so it downloads the model to your `model_cache` directory. From there, you can follow the [documentation](/configuration/object_detectors.md#converting-your-own-onnx-model-to-rknn-format) to convert it.
 
 ## Supported detector types
 
-Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), ONNX (`onnx`), Hailo (`hailo8l`), and Rockchip\* (`rknn`) detectors.
+Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVino (`openvino`), ONNX (`onnx`), Hailo (`hailo8l`), and Rockchip (`rknn`) detectors.
 
 | Hardware                                                                         | Recommended Detector Type | Recommended Model Type |
 | -------------------------------------------------------------------------------- | ------------------------- | ---------------------- |
 | [CPU](/configuration/object_detectors.md#cpu-detector-not-recommended)           | `cpu`                     | `mobiledet`            |
-| [Coral (all form factors)](/configuration/object_detectors.md#edge-tpu-detector) | `edgetpu`                 | `mobiledet`            |
+| [Coral (all form factors)](/configuration/object_detectors.md#edge-tpu-detector) | `edgetpu`                 | `yolov9`               |
 | [Intel](/configuration/object_detectors.md#openvino-detector)                    | `openvino`                | `yolov9`               |
 | [NVidia GPU](/configuration/object_detectors#onnx)                               | `onnx`                    | `yolov9`               |
 | [AMD ROCm GPU](/configuration/object_detectors#amdrocm-gpu-detector)             | `onnx`                    | `yolov9`               |
 | [Hailo8/Hailo8L/Hailo8R](/configuration/object_detectors#hailo-8)                | `hailo8l`                 | `yolov9`               |
-| [Rockchip NPU](/configuration/object_detectors#rockchip-platform)\*              | `rknn`                    | `yolov9`               |
-
-_\* Requires manual conversion in 0.16. Automatic conversion available in 0.17 and later._
+| [Rockchip NPU](/configuration/object_detectors#rockchip-platform)                | `rknn`                    | `yolov9`               |
 
 ## Improving your model
 
@@ -81,7 +79,7 @@ Candidate labels are also available for annotation. These labels don't have enou
 
 Where possible, these labels are mapped to existing labels during training. For example, any `baby` labels are mapped to `person` until support for new labels is added.
 
-The candidate labels are: `baby`, `bpost`, `badger`, `possum`, `rodent`, `chicken`, `groundhog`, `boar`, `hedgehog`, `tractor`, `golf cart`, `garbage truck`, `bus`, `sports ball`
+The candidate labels are: `baby`, `bpost`, `badger`, `possum`, `rodent`, `chicken`, `groundhog`, `boar`, `hedgehog`, `tractor`, `golf cart`, `garbage truck`, `bus`, `sports ball`, `la_poste`, `lawnmower`, `heron`, `rickshaw`, `wombat`, `auspost`, `aramex`, `bobcat`, `mustelid`, `transoflex`, `airplane`, `drone`, `mountain_lion`, `crocodile`, `turkey`, `baby_stroller`, `monkey`, `coyote`, `porcupine`, `parcelforce`, `sheep`, `snake`, `helicopter`, `lizard`, `duck`, `hermes`, `cargus`, `fan_courier`, `sameday`
 
 Candidate labels are not available for automatic suggestions.
 

frigate/api/auth.py

@@ -439,10 +439,11 @@ def resolve_role(
     Determine the effective role for a request based on proxy headers and configuration.
 
     Order of resolution:
-      1. If a role header is defined in proxy_config.header_map.role:
-         - If a role_map is configured, treat the header as group claims
-           (split by proxy_config.separator) and map to roles.
-         - If no role_map is configured, treat the header as role names directly.
+            1. If a role header is defined in proxy_config.header_map.role:
+                 - If a role_map is configured, treat the header as group claims
+                     (split by proxy_config.separator) and map to roles.
+                     Admin matches short-circuit to admin.
+                 - If no role_map is configured, treat the header as role names directly.
       2. If no valid role is found, return proxy_config.default_role if it's valid in config_roles, else 'viewer'.
 
     Args:
@@ -492,6 +493,12 @@ def resolve_role(
         }
         logger.debug("Matched roles from role_map: %s", matched_roles)
 
+        # If admin matches, prioritize it to avoid accidental downgrade when
+        # users belong to both admin and lower-privilege groups.
+        if "admin" in matched_roles and "admin" in config_roles:
+            logger.debug("Resolved role (with role_map) to 'admin'.")
+            return "admin"
+
         if matched_roles:
             resolved = next(
                 (r for r in config_roles if r in matched_roles), validated_default

frigate/api/event.py

@@ -69,6 +69,25 @@ logger = logging.getLogger(__name__)
 router = APIRouter(tags=[Tags.events])
 
 
+def _build_attribute_filter_clause(attributes: str):
+    filtered_attributes = [
+        attr.strip() for attr in attributes.split(",") if attr.strip()
+    ]
+    attribute_clauses = []
+
+    for attr in filtered_attributes:
+        attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
+
+        escaped_attr = json.dumps(attr, ensure_ascii=True)[1:-1]
+        if escaped_attr != attr:
+            attribute_clauses.append(Event.data.cast("text") % f'*:"{escaped_attr}"*')
+
+    if not attribute_clauses:
+        return None
+
+    return reduce(operator.or_, attribute_clauses)
+
+
 @router.get(
     "/events",
     response_model=list[EventResponse],
@@ -193,14 +212,9 @@ def events(
 
     if attributes != "all":
         # Custom classification results are stored as data[model_name] = result_value
-        filtered_attributes = attributes.split(",")
-        attribute_clauses = []
-
-        for attr in filtered_attributes:
-            attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
-
-        attribute_clause = reduce(operator.or_, attribute_clauses)
-        clauses.append(attribute_clause)
+        attribute_clause = _build_attribute_filter_clause(attributes)
+        if attribute_clause is not None:
+            clauses.append(attribute_clause)
 
     if recognized_license_plate != "all":
         filtered_recognized_license_plates = recognized_license_plate.split(",")
@@ -508,7 +522,7 @@ def events_search(
     cameras = params.cameras
     labels = params.labels
     sub_labels = params.sub_labels
-    attributes = params.attributes
+    attributes = unquote(params.attributes)
     zones = params.zones
     after = params.after
     before = params.before
@@ -607,13 +621,9 @@ def events_search(
 
     if attributes != "all":
         # Custom classification results are stored as data[model_name] = result_value
-        filtered_attributes = attributes.split(",")
-        attribute_clauses = []
-
-        for attr in filtered_attributes:
-            attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
-
-        event_filters.append(reduce(operator.or_, attribute_clauses))
+        attribute_clause = _build_attribute_filter_clause(attributes)
+        if attribute_clause is not None:
+            event_filters.append(attribute_clause)
 
     if zones != "all":
         zone_clauses = []

frigate/data_processing/real_time/custom_classification.py

@@ -658,6 +658,7 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
     def handle_request(self, topic, request_data):
         if topic == EmbeddingsRequestEnum.reload_classification_model.value:
             if request_data.get("model_name") == self.model_config.name:
+                self.__build_detector()
                 logger.info(
                     f"Successfully loaded updated model for {self.model_config.name}"
                 )

frigate/events/maintainer.py

@@ -6,6 +6,7 @@ from typing import Dict
 
 from frigate.comms.events_updater import EventEndPublisher, EventUpdateSubscriber
 from frigate.config import FrigateConfig
+from frigate.config.classification import ObjectClassificationType
 from frigate.events.types import EventStateEnum, EventTypeEnum
 from frigate.models import Event
 from frigate.util.builtin import to_relative_box
@@ -247,6 +248,18 @@ class EventProcessor(threading.Thread):
                     "recognized_license_plate"
                 ][1]
 
+            # only overwrite attribute-type custom model fields in the database if they're set
+            for name, model_config in self.config.classification.custom.items():
+                if (
+                    model_config.object_config
+                    and model_config.object_config.classification_type
+                    == ObjectClassificationType.attribute
+                ):
+                    value = event_data.get(name)
+                    if value is not None:
+                        event[Event.data][name] = value[0]
+                        event[Event.data][f"{name}_score"] = value[1]
+
             (
                 Event.insert(event)
                 .on_conflict(

frigate/test/http_api/test_http_event.py

@@ -168,6 +168,57 @@ class TestHttpApp(BaseTestHttp):
             assert events[0]["id"] == id
             assert events[1]["id"] == id2
 
+    def test_get_event_list_match_multilingual_attribute(self):
+        event_id = "123456.zh"
+        attribute = "中文标签"
+
+        with AuthTestClient(self.app) as client:
+            super().insert_mock_event(event_id, data={"custom_attr": attribute})
+
+            events = client.get("/events", params={"attributes": attribute}).json()
+            assert len(events) == 1
+            assert events[0]["id"] == event_id
+
+            events = client.get(
+                "/events", params={"attributes": "%E4%B8%AD%E6%96%87%E6%A0%87%E7%AD%BE"}
+            ).json()
+            assert len(events) == 1
+            assert events[0]["id"] == event_id
+
+    def test_events_search_match_multilingual_attribute(self):
+        event_id = "123456.zh.search"
+        attribute = "中文标签"
+        mock_embeddings = Mock()
+        mock_embeddings.search_thumbnail.return_value = [(event_id, 0.05)]
+
+        self.app.frigate_config.semantic_search.enabled = True
+        self.app.embeddings = mock_embeddings
+
+        with AuthTestClient(self.app) as client:
+            super().insert_mock_event(event_id, data={"custom_attr": attribute})
+
+            events = client.get(
+                "/events/search",
+                params={
+                    "search_type": "similarity",
+                    "event_id": event_id,
+                    "attributes": attribute,
+                },
+            ).json()
+            assert len(events) == 1
+            assert events[0]["id"] == event_id
+
+            events = client.get(
+                "/events/search",
+                params={
+                    "search_type": "similarity",
+                    "event_id": event_id,
+                    "attributes": "%E4%B8%AD%E6%96%87%E6%A0%87%E7%AD%BE",
+                },
+            ).json()
+            assert len(events) == 1
+            assert events[0]["id"] == event_id
+
     def test_get_good_event(self):
         id = "123456.random"
 

frigate/test/test_proxy_auth.py

@@ -31,6 +31,21 @@ class TestProxyRoleResolution(unittest.TestCase):
         role = resolve_role(headers, self.proxy_config, self.config_roles)
         self.assertEqual(role, "admin")
 
+    def test_role_map_or_matching(self):
+        config = self.proxy_config
+        config.header_map.role_map = {
+            "admin": ["group_admin", "group_privileged"],
+        }
+
+        # OR semantics: a single matching group should map to the role
+        headers = {"x-remote-role": "group_admin"}
+        role = resolve_role(headers, config, self.config_roles)
+        self.assertEqual(role, "admin")
+
+        headers = {"x-remote-role": "group_admin|group_privileged"}
+        role = resolve_role(headers, config, self.config_roles)
+        self.assertEqual(role, "admin")
+
     def test_direct_role_header_with_separator(self):
         config = self.proxy_config
         config.header_map.role_map = None  # disable role_map

frigate/track/tracked_object.py

@@ -377,7 +377,14 @@ class TrackedObject:
         return (thumb_update, significant_change, path_update, autotracker_update)
 
     def to_dict(self) -> dict[str, Any]:
-        event = {
+        # Tracking internals excluded from output (centroid, estimate, estimate_velocity)
+        _EXCLUDED_OBJ_DATA_KEYS = {
+            "centroid",
+            "estimate",
+            "estimate_velocity",
+        }
+
+        event: dict[str, Any] = {
             "id": self.obj_data["id"],
             "camera": self.camera_config.name,
             "frame_time": self.obj_data["frame_time"],
@@ -412,6 +419,11 @@ class TrackedObject:
             "recognized_license_plate": self.obj_data.get("recognized_license_plate"),
         }
 
+        # Add any other obj_data keys (e.g. custom attribute fields) not yet included
+        for key, value in self.obj_data.items():
+            if key not in _EXCLUDED_OBJ_DATA_KEYS and key not in event:
+                event[key] = value
+
         return event
 
     def is_active(self) -> bool:

frigate/video.py

@@ -214,6 +214,7 @@ class CameraWatchdog(threading.Thread):
         self.latest_valid_segment_time: float = 0
         self.latest_invalid_segment_time: float = 0
         self.latest_cache_segment_time: float = 0
+        self.record_enable_time: datetime | None = None
 
     def _update_enabled_state(self) -> bool:
         """Fetch the latest config and update enabled state."""
@@ -261,6 +262,9 @@ class CameraWatchdog(threading.Thread):
     def run(self) -> None:
         if self._update_enabled_state():
             self.start_all_ffmpeg()
+            # If recording is enabled at startup, set the grace period timer
+            if self.config.record.enabled:
+                self.record_enable_time = datetime.now().astimezone(timezone.utc)
 
         time.sleep(self.sleeptime)
         while not self.stop_event.wait(self.sleeptime):
@@ -270,13 +274,15 @@ class CameraWatchdog(threading.Thread):
                     self.logger.debug(f"Enabling camera {self.config.name}")
                     self.start_all_ffmpeg()
 
-                    # reset all timestamps
+                    # reset all timestamps and record the enable time for grace period
                     self.latest_valid_segment_time = 0
                     self.latest_invalid_segment_time = 0
                     self.latest_cache_segment_time = 0
+                    self.record_enable_time = datetime.now().astimezone(timezone.utc)
                 else:
                     self.logger.debug(f"Disabling camera {self.config.name}")
                     self.stop_all_ffmpeg()
+                    self.record_enable_time = None
 
                     # update camera status
                     self.requestor.send_data(
@@ -361,6 +367,12 @@ class CameraWatchdog(threading.Thread):
                 if self.config.record.enabled and "record" in p["roles"]:
                     now_utc = datetime.now().astimezone(timezone.utc)
 
+                    # Check if we're within the grace period after enabling recording
+                    # Grace period: 90 seconds allows time for ffmpeg to start and create first segment
+                    in_grace_period = self.record_enable_time is not None and (
+                        now_utc - self.record_enable_time
+                    ) < timedelta(seconds=90)
+
                     latest_cache_dt = (
                         datetime.fromtimestamp(
                             self.latest_cache_segment_time, tz=timezone.utc
@@ -386,10 +398,16 @@ class CameraWatchdog(threading.Thread):
                     )
 
                     # ensure segments are still being created and that they have valid video data
-                    cache_stale = now_utc > (latest_cache_dt + timedelta(seconds=120))
-                    valid_stale = now_utc > (latest_valid_dt + timedelta(seconds=120))
+                    # Skip checks during grace period to allow segments to start being created
+                    cache_stale = not in_grace_period and now_utc > (
+                        latest_cache_dt + timedelta(seconds=120)
+                    )
+                    valid_stale = not in_grace_period and now_utc > (
+                        latest_valid_dt + timedelta(seconds=120)
+                    )
                     invalid_stale_condition = (
                         self.latest_invalid_segment_time > 0
+                        and not in_grace_period
                         and now_utc > (latest_invalid_dt + timedelta(seconds=120))
                         and self.latest_valid_segment_time
                         <= self.latest_invalid_segment_time

web/public/locales/ca/common.json

@@ -48,7 +48,8 @@
       "bg": "Български (Búlgar)",
       "gl": "Galego (Gallec)",
       "id": "Bahasa Indonesia (Indonesi)",
-      "ur": "اردو (Urdú)"
+      "ur": "اردو (Urdú)",
+      "hr": "Hrvatski (croat)"
     },
     "system": "Sistema",
     "systemMetrics": "Mètriques del sistema",

web/public/locales/ca/components/dialog.json

@@ -6,7 +6,8 @@
       "title": "Frigate s'està reiniciant",
       "content": "Aquesta pàgina es tornarà a carregar d'aquí a {{countdown}} segons.",
       "button": "Forçar la recàrrega ara"
-    }
+    },
+    "description": "Això aturarà breument Frigate mentre es reinicia."
   },
   "explore": {
     "plus": {

web/public/locales/ca/views/faceLibrary.json

@@ -19,7 +19,8 @@
   "description": {
     "addFace": "Afegiu una col·lecció nova a la biblioteca de cares pujant la vostra primera imatge.",
     "placeholder": "Introduïu un nom per a aquesta col·lecció",
-    "invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guions."
+    "invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guions.",
+    "nameCannotContainHash": "El nom no pot contenir #."
   },
   "documentTitle": "Biblioteca de rostres - Frigate",
   "uploadFaceImage": {

web/public/locales/ca/views/settings.json

@@ -114,6 +114,11 @@
         },
         "error": {
           "mustBeFinished": "El dibuix del polígon s'ha d'acabar abans de desar."
+        },
+        "type": {
+          "zone": "zona",
+          "motion_mask": "màscara de moviment",
+          "object_mask": "màscara d'objecte"
         }
       },
       "zoneName": {
@@ -532,7 +537,7 @@
           "hide": "Amaga contrasenya",
           "requirements": {
             "title": "Requisits contrasenya:",
-            "length": "Com a mínim 8 carácters",
+            "length": "Com a mínim 12 carácters",
             "uppercase": "Com a mínim una majúscula",
             "digit": "Com a mínim un digit",
             "special": "Com a mínim un carácter especial (!@#$%^&*(),.?\":{}|<>)"

web/public/locales/da/audio.json

@@ -27,7 +27,7 @@
   "harp": "Harpe",
   "bell": "Klokke",
   "harmonica": "Harmonika",
-  "bagpipes": "Sækkepibe",
+  "bagpipes": "Sækkepiber",
   "didgeridoo": "Didgeridoo",
   "jazz": "Jazz",
   "opera": "Opera",
@@ -78,7 +78,7 @@
   "camera": "Kamera",
   "tools": "Værktøj",
   "hammer": "Hammer",
-  "drill": "Bore",
+  "drill": "Boremaskine",
   "explosion": "Eksplosion",
   "fireworks": "Nytårskrudt",
   "babbling": "Pludren",

web/public/locales/da/common.json

@@ -193,7 +193,8 @@
       "bg": "Български (Bulgarsk)",
       "gl": "Galego (Galisisk)",
       "id": "Bahasa Indonesia (Indonesisk)",
-      "ur": "اردو (Urdu)"
+      "ur": "اردو (Urdu)",
+      "hr": "Hrvatski (Kroatisk)"
     },
     "appearance": "Udseende",
     "darkMode": {
@@ -221,7 +222,7 @@
     },
     "restart": "Genstart Frigate",
     "live": {
-      "title": "Live",
+      "title": "Direkte",
       "allCameras": "Alle kameraer",
       "cameras": {
         "title": "Kameraer",
@@ -240,17 +241,17 @@
       "current": "Aktiv bruger: {{user}}",
       "anonymous": "anonym",
       "logout": "Log ud",
-      "setPassword": "Set Password"
+      "setPassword": "Vælg kodeord"
     },
     "classification": "Kategorisering"
   },
   "toast": {
-    "copyUrlToClipboard": "Kopieret URL til klippebord.",
+    "copyUrlToClipboard": "Kopieret URL til udklipsholder.",
     "save": {
       "title": "Gem",
       "error": {
-        "title": "Ændringer kan ikke gemmes: {{errorMessage}}",
-        "noMessage": "Kan ikke gemme konfigurationsændringer"
+        "title": "Ændringer kunne ikke gemmes: {{errorMessage}}",
+        "noMessage": "Kunne ikke gemme konfigurationsændringer"
       }
     }
   },
@@ -261,7 +262,7 @@
     "desc": "Admins har fuld adgang til Frigate UI. Viewers er begrænset til at se kameraer, gennemse items, og historik i UI."
   },
   "pagination": {
-    "label": "paginering",
+    "label": "sideinddeling",
     "previous": {
       "title": "Forrige",
       "label": "Gå til forrige side"
@@ -273,9 +274,9 @@
     "more": "Flere sider"
   },
   "accessDenied": {
-    "documentTitle": "Adgang forbudt - Frigate",
-    "title": "Adgang forbudt",
-    "desc": "Du har ikke tiiladelse til at se denne side."
+    "documentTitle": "Adgang nægtet - Frigate",
+    "title": "Adgang nægtet",
+    "desc": "Du har ikke rettigheder til at se denne side."
   },
   "notFound": {
     "documentTitle": "Ikke fundet - Frigate",

web/public/locales/da/components/dialog.json

@@ -6,7 +6,8 @@
       "title": "Frigate genstarter",
       "button": "Gennemtving genindlæsning nu",
       "content": "Denne side genindlæses om {{countdown}} sekunder."
-    }
+    },
+    "description": "Dette vil kortvarigt stoppe Frigate under genstart."
   },
   "explore": {
     "plus": {
@@ -17,7 +18,9 @@
       "review": {
         "question": {
           "label": "Bekræft denne etiket til Frigate Plus",
-          "ask_a": "Er dette objekt et <code>{{label}}</code>?"
+          "ask_a": "Er dette objekt et <code>{{label}}</code>?",
+          "ask_an": "Er dette objekt en <code>{{label}}</code>?",
+          "ask_full": "Er dette objekt en <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
         }
       }
     }

web/public/locales/da/components/filter.json

@@ -1,5 +1,5 @@
 {
-  "filter": "Filter",
+  "filter": "Filtrer",
   "classes": {
     "label": "Klasser",
     "all": {

web/public/locales/da/components/player.json

@@ -4,13 +4,13 @@
   "cameraDisabled": "Kamera er deaktiveret",
   "noPreviewFoundFor": "Ingen forhåndsvisning fundet for {{cameraName}}",
   "submitFrigatePlus": {
-    "title": "Indsend denne frame til Frigate+?",
+    "title": "Indsend dette billede til Frigate+?",
     "submit": "Indsend"
   },
   "livePlayerRequiredIOSVersion": "iOS 17.1 eller nyere kræves for denne type livestream.",
   "streamOffline": {
     "title": "Stream offline",
-    "desc": "Der er ikke modtaget nogen frames på {{cameraName}}-<code>detect</code>-streamen, tjek fejlloggene."
+    "desc": "Der er ikke modtaget nogen billeder på {{cameraName}}-<code>detect</code>-streamen, tjek fejllogs."
   },
   "stats": {
     "streamType": {
@@ -18,8 +18,8 @@
       "short": "Type"
     },
     "bandwidth": {
-      "title": "Bandbredde:",
-      "short": "Bandbredde"
+      "title": "Båndbredde:",
+      "short": "Båndbredde"
     },
     "latency": {
       "title": "Latenstid:",
@@ -31,8 +31,21 @@
     },
     "droppedFrames": {
       "short": {
-        "title": "Tabt"
-      }
+        "title": "Tabt",
+        "value": "{{droppedFrames}} billeder"
+      },
+      "title": "Tabte billeder:"
+    },
+    "totalFrames": "Antal billeder i alt:",
+    "decodedFrames": "Dekodede billeder:",
+    "droppedFrameRate": "Rate for tabte billeder:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Billede sendt til Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Kunne ikke sende billede til Frigate+"
     }
   }
 }

web/public/locales/da/views/events.json

@@ -27,5 +27,6 @@
   "markTheseItemsAsReviewed": "Marker disse som gennemset",
   "detail": {
     "aria": "Skift til detaljevisning"
-  }
+  },
+  "timeline.aria": "Vælg tidslinje"
 }

web/public/locales/da/views/explore.json

@@ -17,10 +17,15 @@
       "context": "Udforsk kan bruges, når genindekseringen af de sporede objektindlejringer er fuldført.",
       "finishingShortly": "Afsluttes om lidt",
       "step": {
-        "thumbnailsEmbedded": "Miniaturer indlejret: "
+        "thumbnailsEmbedded": "Miniaturer indlejret: ",
+        "descriptionsEmbedded": "Beskrivelser indlejrede: ",
+        "trackedObjectsProcessed": "Sporede objekter behandlede: "
       }
     },
-    "title": "Udforsk er ikke tilgængelig"
+    "title": "Udforsk er ikke tilgængelig",
+    "downloadingModels": {
+      "context": "Frigate henter de nødvendige indlejringsmodeller for at understøtte semantiske søgninger. Dette kan tage flere minutter, afhængig af hastigheden på din netværksforbindelse."
+    }
   },
   "exploreMore": "Udforsk flere {{label}}-objekter",
   "details": {

web/public/locales/da/views/faceLibrary.json

@@ -3,7 +3,8 @@
   "description": {
     "addFace": "Tilføj en ny samling til ansigtsbiblioteket ved at uploade dit første billede.",
     "placeholder": "Angiv et navn for bibliotek",
-    "invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger."
+    "invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger.",
+    "nameCannotContainHash": "Navet kan ikke indeholde #."
   },
   "details": {
     "person": "Person",
@@ -17,6 +18,76 @@
     "desc": "Upload et billede for at scanne efter ansigter og inkludere det for {{pageToggle}}"
   },
   "train": {
-    "titleShort": "Nyeste"
-  }
+    "titleShort": "Nyeste",
+    "title": "Seneste genkendelser",
+    "aria": "Vælg seneste genkendelser",
+    "empty": "Der er ingen nylige ansigtsgenkendelser"
+  },
+  "createFaceLibrary": {
+    "new": "Nyt ansigt",
+    "nextSteps": "<ul> <li>Brug fanen <strong>Seneste genkendelser</strong> til at udvælge og træne på billeder for hver registreret person.</li> <li>Fokusér på billeder taget lige forfra for de bedste resultater; undgå træningsbilleder, hvor ansigter er fotograferet fra siden eller i vinkel.</li> </ul>"
+  },
+  "steps": {
+    "faceName": "Skriv ansigt navn",
+    "uploadFace": "Upload ansigt billede",
+    "nextSteps": "Næste skridt",
+    "description": {
+      "uploadFace": "Upload et billede af {{name}}, hvor ansigtet er set forfra. Billedet behøver ikke kun at vise ansigtet og skal ikke beskæres."
+    }
+  },
+  "button": {
+    "deleteFace": "Slet ansigt",
+    "deleteFaceAttempts": "Slet ansigter",
+    "addFace": "Tilføj ansigt",
+    "renameFace": "Omdøb ansigt",
+    "uploadImage": "Upload billede",
+    "reprocessFace": "Genbehandl ansigt"
+  },
+  "trainFace": "Lær ansigt",
+  "renameFace": {
+    "title": "Omdøb ansigt",
+    "desc": "Indtast et nyt navn til {{name}}"
+  },
+  "toast": {
+    "success": {
+      "deletedFace_one": "{{count}} ansigt blev slettet",
+      "deletedFace_other": "{{count}} ansigter blev slettet",
+      "deletedName_one": "{{count}} ansigt slettet",
+      "deletedName_other": "{{count}} ansigter slettet",
+      "uploadedImage": "Billedet blev uploadet.",
+      "addFaceLibrary": "{{name}} er blevet tilføjet til ansigtsbiblioteket!",
+      "renamedFace": "Ansigtet er blevet omdøbt til {{name}}",
+      "trainedFace": "Ansigtet er blevet trænet.",
+      "updatedFaceScore": "Ansigtets score er blevet opdateret til {{score}} ({{name}})."
+    },
+    "error": {
+      "uploadingImageFailed": "Kunne ikke uploade billedet: {{errorMessage}}",
+      "addFaceLibraryFailed": "Kunne ikke angive navn på ansigtet: {{errorMessage}}",
+      "deleteFaceFailed": "Kunne ikke slette: {{errorMessage}}",
+      "deleteNameFailed": "Kunne ikke slette navnet: {{errorMessage}}",
+      "renameFaceFailed": "Kunne ikke omdøbe ansigtet: {{errorMessage}}",
+      "trainFailed": "Kunne ikke træne: {{errorMessage}}",
+      "updateFaceScoreFailed": "Kunne ikke opdatere ansigtets score: {{errorMessage}}"
+    }
+  },
+  "deleteFaceAttempts": {
+    "desc_one": "Er du sikker på, at du vil slette {{count}} ansigt? Denne handling kan ikke fortrydes.",
+    "desc_other": "Er du sikker på, at du vil slette {{count}} ansigter? Denne handling kan ikke fortrydes.",
+    "title": "Slet ansigter"
+  },
+  "collections": "Samlinger",
+  "deleteFaceLibrary": {
+    "title": "Slet navn",
+    "desc": "Er du sikker på, at du vil slette samlingen {{name}}? Dette vil permanent slette alle tilknyttede ansigter."
+  },
+  "imageEntry": {
+    "maxSize": "Maks. størrelse: {{size}} MB",
+    "validation": {
+      "selectImage": "Vælg venligst en billedfil."
+    },
+    "dropActive": "Slip billedet her…",
+    "dropInstructions": "Træk og slip eller indsæt et billede her – eller klik for at vælge"
+  },
+  "nofaces": "Ingen tilgængelige ansigter",
+  "trainFaceAs": "Træn ansigt som:"
 }

web/public/locales/da/views/live.json

@@ -14,8 +14,104 @@
     "move": {
       "clickMove": {
         "label": "Klik i billedrammen for at centrere kameraet",
-        "enable": "Aktivér klik for at flytte"
+        "enable": "Aktivér klik for at flytte",
+        "disable": "Deaktiver klik for at flytte"
+      },
+      "left": {
+        "label": "Flyt PTZ-kameraet til venstre"
+      },
+      "up": {
+        "label": "Flyt PTZ kamera op"
+      },
+      "down": {
+        "label": "Flyt PTZ-kameraet ned"
+      },
+      "right": {
+        "label": "Flyt PTZ-kameraet til højre"
       }
-    }
+    },
+    "zoom": {
+      "in": {
+        "label": "Zoom PTZ-kamera ind"
+      },
+      "out": {
+        "label": "Zoom PTZ kamera ud"
+      }
+    },
+    "focus": {
+      "in": {
+        "label": "Focus PTZ kamera ind"
+      },
+      "out": {
+        "label": "Focus PTZ kamera ud"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Klik på billedet for at centrere PTZ-kameraet"
+      }
+    },
+    "presets": "PTZ kamera forudindstillinger"
+  },
+  "camera": {
+    "enable": "Aktivér kamera",
+    "disable": "Deaktivér kamera"
+  },
+  "muteCameras": {
+    "enable": "Slå lyd på alle kameraer fra",
+    "disable": "Slå lyd på alle kameraer til"
+  },
+  "detect": {
+    "enable": "Aktiver detektering",
+    "disable": "Deaktiver detektering"
+  },
+  "recording": {
+    "enable": "Aktivér optagelse",
+    "disable": "Deaktiver optagelse"
+  },
+  "snapshots": {
+    "enable": "Aktivér Snapshots",
+    "disable": "Deaktivér Snapshots"
+  },
+  "snapshot": {
+    "takeSnapshot": "Hent instant snapshot",
+    "noVideoSource": "Ingen videokilde til snapshot.",
+    "captureFailed": "Kunne ikke tage snapshot.",
+    "downloadStarted": "Hentning af snapshot startet."
+  },
+  "audioDetect": {
+    "enable": "Aktiver lyddetektor",
+    "disable": "Deaktiver lyddetektor"
+  },
+  "transcription": {
+    "enable": "Aktiver Live Audio Transkription",
+    "disable": "Deaktiver Live Audio Transkription"
+  },
+  "autotracking": {
+    "enable": "Aktiver Autotracking",
+    "disable": "Deaktiver Autotracking"
+  },
+  "streamStats": {
+    "enable": "Vis Stream statistik",
+    "disable": "Skjul Stream statistik"
+  },
+  "manualRecording": {
+    "title": "Manuel optagelse",
+    "tips": "Hent et øjebliksbillede eller start en manuel begivenhed baseret på dette kameras indstillinger for optagelse af opbevaring.",
+    "playInBackground": {
+      "label": "Afspil i baggrunden",
+      "desc": "Aktiver denne mulighed for at fortsætte streaming, når afspilleren er skjult."
+    },
+    "showStats": {
+      "label": "Vis statistik",
+      "desc": "Aktiver denne mulighed for at vise streamstatistikker som en overlejring på kameraets feed."
+    },
+    "debugView": "Debug View",
+    "start": "Start on-demand optagelse",
+    "started": "Start manuel optagelse.",
+    "failedToStart": "Manuel optagelse fejlede.",
+    "recordDisabledTips": "Da optagelsen er deaktiveret eller begrænset i konfig for dette kamera, gemmes der kun et snapshot.",
+    "end": "Afslut manuel optagelse",
+    "ended": "Afsluttet manuel optagelse."
   }
 }

web/public/locales/da/views/recording.json

@@ -1,5 +1,5 @@
 {
-  "filter": "Filter",
+  "filter": "Filtrer",
   "export": "Eksporter",
   "calendar": "Kalender",
   "filters": "Filtere",

web/public/locales/da/views/search.json

@@ -9,5 +9,11 @@
     "filterActive": "Filtre aktiv",
     "clear": "Ryd søgning"
   },
-  "trackedObjectId": "Sporet genstands-ID"
+  "trackedObjectId": "Sporet genstands-ID",
+  "filter": {
+    "label": {
+      "cameras": "Kameraer",
+      "zones": "Områder"
+    }
+  }
 }

web/public/locales/da/views/settings.json

@@ -9,6 +9,11 @@
     "enrichments": "Indstillinger for berigelser - Frigate",
     "masksAndZones": "Maske- og zoneeditor - Frigate",
     "motionTuner": "Bevægelsesjustering - Frigate",
-    "general": "Brugergrænsefladeindstillinger - Frigate"
+    "general": "Brugergrænsefladeindstillinger - Frigate",
+    "frigatePlus": "Frigate+ Indstillinger - Frigate",
+    "notifications": "Notifikations indstillinger - Frigate"
+  },
+  "menu": {
+    "ui": "Brugergrænseflade"
   }
 }

web/public/locales/de/common.json

@@ -179,7 +179,8 @@
       "lt": "Lietuvių (Litauisch)",
       "bg": "Български (bulgarisch)",
       "gl": "Galego (Galicisch)",
-      "id": "Bahasa Indonesia (Indonesisch)"
+      "id": "Bahasa Indonesia (Indonesisch)",
+      "hr": "Hrvatski (Kroatisch)"
     },
     "appearance": "Erscheinung",
     "theme": {

web/public/locales/de/components/dialog.json

@@ -6,7 +6,8 @@
       "content": "Diese Seite wird in {{countdown}} Sekunde(n) aktualisiert.",
       "button": "Neuladen erzwingen"
     },
-    "button": "Neustarten"
+    "button": "Neustarten",
+    "description": "Dies wird Frigate kurz stoppen, während es neu startet."
   },
   "explore": {
     "plus": {

web/public/locales/de/views/faceLibrary.json

@@ -1,8 +1,9 @@
 {
   "description": {
     "placeholder": "Gib einen Name für diese Kollektion ein",
-    "addFace": "Füge der Gesichtsbibliothek eine neue Sammlung hinzu, indem du ein Bild hochlädst.",
-    "invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten."
+    "addFace": "Füge der Gesichtsbibliothek eine neue Sammlung hinzu, indem du ein erstes Bild hochlädst.",
+    "invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten.",
+    "nameCannotContainHash": "Der Name darf keine # enthalten."
   },
   "details": {
     "person": "Person",

web/public/locales/de/views/settings.json

@@ -49,12 +49,12 @@
         "desc": "Standardmäßig werden die letzten Warnmeldungen auf dem Live-Dashboard als kurze Videoschleifen abgespielt. Deaktiviere diese Option, um nur ein statisches Bild der letzten Warnungen auf diesem Gerät/Browser anzuzeigen."
       },
       "automaticLiveView": {
-        "desc": "Zeigt automatisch das Live-Bild einer Kamera an, wenn eine Aktivität erkannt wird. Ist diese Option deaktiviert, werden Kamerabilder im Live-Dashboard nur einmal pro Minute aktualisiert.",
+        "desc": "Automatisch zur Live-Ansicht einer Kamera wechseln, wenn eine Aktivität erkannt wird. Wenn diese Option deaktiviert ist, werden statische Kamerabilder auf dem Live-Dashboard nur einmal pro Minute aktualisiert.",
         "label": "Automatische Live Ansicht"
       },
       "displayCameraNames": {
         "label": "Immer Namen der Kamera anzeigen",
-        "desc": "Kamerabezeichnung immer im einem Chip im Live-View-Dashboard für mehrere Kameras anzeigen."
+        "desc": "Zeige immer die Kameranamen in einem Chip im Dashboard der Mehrkamera-Live-Ansicht an."
       },
       "liveFallbackTimeout": {
         "label": "Live Player Ausfallzeitlimit",
@@ -276,6 +276,11 @@
         },
         "error": {
           "mustBeFinished": "Polygonzeichnung muss vor dem Speichern abgeschlossen sein."
+        },
+        "type": {
+          "zone": "Zone",
+          "motion_mask": "Bewegungsmaske",
+          "object_mask": "Objektmaske"
         }
       },
       "speed": {
@@ -544,7 +549,7 @@
           "placeholder": "Passwort eingeben",
           "requirements": {
             "title": "Passwort Anforderungen:",
-            "length": "Mindestens 8 Zeichen",
+            "length": "Mindestens 12 Zeichen",
             "uppercase": "Mindestens ein Großbuchstabe",
             "digit": "Mindestens eine Ziffer",
             "special": "Mindestens ein Sonderzeichen (!@#$%^&*(),.?\":{}|<>)"
@@ -1210,7 +1215,7 @@
         "restreamingWarning": "Die Reduzierung der Verbindungen zur Kamera für den Aufzeichnungsstream kann zu einer geringfügigen Erhöhung der CPU-Auslastung führen.",
         "brands": {
           "reolink-rtsp": "Reolink RTSP wird nicht empfohlen. Aktivieren Sie HTTP in den Firmware-Einstellungen der Kamera und starten Sie den Assistenten neu.",
-          "reolink-http": "Für Reolink-HTTP-Streams sollten sie FFmpeg verwenden, um eine bessere Kompatibilität zu gewährleisten. Aktivieren Sie für diesen Stream die Option „Stream-Kompatibilitätsmodus verwenden“."
+          "reolink-http": "Reolink-HTTP-Streams sollten für eine bessere Kompatibilität FFmpeg verwenden. Aktivieren Sie für diesen Stream die Option „Stream-Kompatibilitätsmodus verwenden“."
         },
         "dahua": {
           "substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Kameras von Dahua / Amcrest / EmpireTech unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu überprüfen und zu nutzen, sofern sie verfügbar sind."

web/public/locales/en/components/dialog.json

@@ -1,6 +1,7 @@
 {
   "restart": {
     "title": "Are you sure you want to restart Frigate?",
+    "description": "This will briefly stop Frigate while it restarts.",
     "button": "Restart",
     "restarting": {
       "title": "Frigate is Restarting",

web/public/locales/es/common.json

@@ -153,7 +153,8 @@
       "bg": "Български (Búlgaro)",
       "gl": "Galego (Gallego)",
       "id": "Bahasa Indonesia (Indonesio)",
-      "ur": "اردو (Urdu)"
+      "ur": "اردو (Urdu)",
+      "hr": "Hrvatski (Croata)"
     },
     "appearance": "Apariencia",
     "darkMode": {

web/public/locales/es/components/dialog.json

@@ -6,7 +6,8 @@
       "content": "Esta página se recargará en {{countdown}} segundos."
     },
     "title": "¿Estás seguro de que quieres reiniciar Frigate?",
-    "button": "Reiniciar"
+    "button": "Reiniciar",
+    "description": "Esto detendrá brevemente Frigate mientras se reinicia."
   },
   "explore": {
     "plus": {

web/public/locales/es/components/filter.json

@@ -129,13 +129,13 @@
   "classes": {
     "label": "Clases",
     "all": {
-      "title": "Todas las Clases"
+      "title": "Todas las clases"
     },
     "count_one": "{{count}} Clase",
     "count_other": "{{count}} Clases"
   },
   "attributes": {
-    "label": "Atributos de Clasificación",
+    "label": "Atributos de clasificación",
     "all": "Todos los Atributos"
   }
 }

web/public/locales/es/views/faceLibrary.json

@@ -2,7 +2,8 @@
   "description": {
     "addFace": "Agregar una nueva colección a la Biblioteca de Rostros subiendo tu primera imagen.",
     "placeholder": "Introduce un nombre para esta colección",
-    "invalidName": "Nombre incorrecto. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos, y guiones."
+    "invalidName": "Nombre incorrecto. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos, y guiones.",
+    "nameCannotContainHash": "El nombre no puede contener #."
   },
   "details": {
     "person": "Persona",

web/public/locales/es/views/settings.json

@@ -276,7 +276,12 @@
         "reset": {
           "label": "Borrar todos los puntos"
         },
-        "removeLastPoint": "Eliminar el último punto"
+        "removeLastPoint": "Eliminar el último punto",
+        "type": {
+          "zone": "zona",
+          "motion_mask": "máscara de movimiento",
+          "object_mask": "máscara de objeto"
+        }
       },
       "speed": {
         "error": {
@@ -548,7 +553,7 @@
           "hide": "Ocultar contraseña",
           "requirements": {
             "title": "Requisitos de contraseña:",
-            "length": "Al menos 8 caracteres",
+            "length": "Al menos 12 caracteres",
             "uppercase": "Al menos una mayúscula",
             "digit": "Al menos un número",
             "special": "Al menos un caracter especial (!@#$%^&*(),.?\":{}|<>)"

web/public/locales/es/views/system.json

@@ -192,7 +192,7 @@
       "classification_speed": "Velocidad de clasificación de {{name}}",
       "classification_events_per_second": "Clasificacion de eventos por segundo de {{name}}"
     },
-    "title": "Enriquicimientos",
+    "title": "Enriquecimientos",
     "averageInf": "Tiempo promedio de inferencia"
   },
   "stats": {

web/public/locales/et/common.json

@@ -139,7 +139,8 @@
       "bg": "Български (bulgaaria keel)",
       "gl": "Galego (galeegi keel)",
       "id": "Bahasa Indonesia (indoneesia keel)",
-      "ur": "اردو (urdu keel)"
+      "ur": "اردو (urdu keel)",
+      "hr": "Hrvatski (horvaadi keel)"
     },
     "system": "Süsteem",
     "systemMetrics": "Süsteemi meetrika",

web/public/locales/et/components/dialog.json

@@ -6,7 +6,8 @@
       "title": "Frigate käivitub uuesti",
       "content": "See leht laaditakse uuesti {{countdown}} sekundi pärast.",
       "button": "Laadi uuesti kohe"
-    }
+    },
+    "description": "Järgnevaga Frigate uuesti käivitamise ajaks lõpetab korraks töö."
   },
   "search": {
     "saveSearch": {

web/public/locales/et/views/explore.json

@@ -30,11 +30,21 @@
       "stationary": "{{label}} jäi paigale",
       "active": "{{label}} muutus aktiivseks",
       "entered_zone": "{{label}} sisenes tsooni {{zones}}",
-      "visible": "{{label}} on tuvastatud"
+      "visible": "{{label}} on tuvastatud",
+      "header": {
+        "zones": "Tsoonid",
+        "ratio": "Suhtarv",
+        "area": "Ala",
+        "score": "Punktiskoor"
+      }
     },
     "title": "Jälgimise üksikasjad",
     "noImageFound": "Selle ajatempli kohta ei leidu pilti.",
-    "createObjectMask": "Loo objektimask"
+    "createObjectMask": "Loo objektimask",
+    "carousel": {
+      "previous": "Eelmine slaid",
+      "next": "Järgmine slaid"
+    }
   },
   "documentTitle": "Avasta - Frigate",
   "generativeAI": "Generatiivne tehisaru",
@@ -63,12 +73,15 @@
       "tips": {
         "mismatch_one": "Tuvastasin {{count}} võõra objekti ja need on lisatud ülevaatamiseks. Need objektid kas ei ole piisavad häire või tuvastamise jaoks, aga ka võivad juba olla eemaldatud või kustutatud.",
         "mismatch_other": "Tuvastasin {{count}} võõrast objekti ja need on lisatud ülevaatamiseks. Need objektid kas ei ole piisavad häire või tuvastamise jaoks, aga ka võivad juba olla eemaldatud või kustutatud."
-      }
+      },
+      "title": "Vaata objekti üksikasju",
+      "desc": "Vaata objekti üksikasju"
     },
     "snapshotScore": {
       "label": "Hetkvõttete punktiskoor"
     },
     "regenerateFromSnapshot": "Loo uuesti hetkvõttest",
     "timestamp": "Ajatampel"
-  }
+  },
+  "trackedObjectDetails": "Jälgitava objekti üksikasjad"
 }

web/public/locales/et/views/settings.json

@@ -4,10 +4,23 @@
       "password": "Salasõna",
       "passwordPlaceholder": "Valikuline",
       "customUrlPlaceholder": "rtsp://kasutajanimi:salasõna@host:port/asukoht",
-      "connectionSettings": "Ühenduse seadistused"
+      "connectionSettings": "Ühenduse seadistused",
+      "port": "Port",
+      "username": "Kasutajanimi",
+      "usernamePlaceholder": "Valikuline"
     },
     "step3": {
-      "streamUrlPlaceholder": "rtsp://kasutajanimi:salasõna@host:port/asukoht"
+      "streamUrlPlaceholder": "rtsp://kasutajanimi:salasõna@host:port/asukoht",
+      "url": "Võrguaadress",
+      "resolution": "Resolutsioon",
+      "quality": "Kvaliteet",
+      "roles": "Rollid",
+      "roleLabels": {
+        "record": "Salvestamine",
+        "audio": "Heliriba"
+      },
+      "connected": "Ühendatud",
+      "featuresTitle": "Funktsionaalsused"
     },
     "steps": {
       "probeOrSnapshot": "Võta proov või tee hetkvõte"
@@ -15,7 +28,34 @@
     "step2": {
       "testing": {
         "fetchingSnapshot": "Laadin kaamera hetkvõtet alla..."
-      }
+      },
+      "retry": "Proovi uuesti",
+      "manufacturer": "Tootja",
+      "model": "Mudel",
+      "firmware": "Püsivara",
+      "profiles": "Profiilid",
+      "presets": "Eelseadistused",
+      "useCandidate": "Kasuta",
+      "uriCopy": "Kopeeri",
+      "connected": "Ühendatud"
+    },
+    "testResultLabels": {
+      "resolution": "Resolutsioon",
+      "video": "Video",
+      "audio": "Heliriba",
+      "fps": "Kaadrisagedus"
+    },
+    "step4": {
+      "reload": "Laadi uuesti",
+      "connecting": "Ühendan…",
+      "valid": "Kehtiv",
+      "failed": "Ebaõnnestunud",
+      "connectStream": "Ühenda",
+      "connectingStream": "Ühendan",
+      "disconnectStream": "Katkesta ühendus",
+      "roles": "Rollid",
+      "none": "Määramata",
+      "error": "Viga"
     }
   },
   "users": {
@@ -29,7 +69,10 @@
       }
     },
     "table": {
-      "password": "Lähtesta salasõna"
+      "password": "Lähtesta salasõna",
+      "username": "Kasutajanimi",
+      "actions": "Tegevused",
+      "role": "Roll"
     },
     "dialog": {
       "form": {
@@ -53,7 +96,7 @@
           "hide": "Peida salasõna",
           "requirements": {
             "title": "Salasõna reeglid:",
-            "length": "Vähemalt 8 tähemärki",
+            "length": "Vähemalt 12 tähemärki",
             "uppercase": "Vähemalt üks suurtäht",
             "digit": "Vähemalt üks number",
             "special": "Vähemalt üks erimärk (!@#$%^&*(),.?\":{}|<>)"
@@ -70,6 +113,9 @@
         "currentPassword": {
           "title": "Senine salasõna",
           "placeholder": "Sisesta oma senine salasõna"
+        },
+        "user": {
+          "title": "Kasutajanimi"
         }
       },
       "createUser": {
@@ -84,12 +130,42 @@
         "currentPasswordRequired": "Senine salasõna on vajalik",
         "incorrectCurrentPassword": "Senine salasõna pole õige",
         "passwordVerificationFailed": "Salasõna kontrollimine ei õnnestunud"
+      },
+      "changeRole": {
+        "roleInfo": {
+          "admin": "Peakasutaja",
+          "viewer": "Vaataja"
+        }
       }
-    }
+    },
+    "title": "Kasutajad"
   },
   "debug": {
     "boundingBoxes": {
       "desc": "Näita jälgitavate objektide ümber märgiskaste"
+    },
+    "title": "Silumine ja veaotsing",
+    "debugging": "Veaotsing ja silumine",
+    "audio": {
+      "title": "Heliriba",
+      "score": "punktiskoor"
+    },
+    "timestamp": {
+      "title": "Ajatempel"
+    },
+    "zones": {
+      "title": "Tsoonid"
+    },
+    "regions": {
+      "title": "Alad"
+    },
+    "paths": {
+      "title": "Asukohad"
+    },
+    "objectShapeFilterDrawing": {
+      "score": "Punktiskoor",
+      "ratio": "Suhtarv",
+      "area": "Ala"
     }
   },
   "documentTitle": {
@@ -113,10 +189,31 @@
       "automaticLiveView": {
         "label": "Automaatne otseülekande vaade"
       }
+    },
+    "calendar": {
+      "title": "Kalender",
+      "firstWeekday": {
+        "sunday": "Pühapäev",
+        "monday": "Esmaspäev",
+        "label": "Esimene nädalapäev"
+      }
+    },
+    "storedLayouts": {
+      "title": "Salvestatud paigutused"
+    },
+    "recordingsViewer": {
+      "title": "Salvestuste vaataja"
     }
   },
   "cameraManagement": {
-    "backToSettings": "Tagasi kaameraseadistuste juurde"
+    "backToSettings": "Tagasi kaameraseadistuste juurde",
+    "cameraConfig": {
+      "enabled": "Kasutusel",
+      "ffmpeg": {
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Rollid"
+      }
+    }
   },
   "notification": {
     "notificationSettings": {
@@ -130,6 +227,16 @@
       "success": {
         "settingSaved": "Teavituste seadistused on salvestatud."
       }
+    },
+    "title": "Teavitused",
+    "email": {
+      "title": "E-post"
+    },
+    "cameras": {
+      "title": "Kaamerad"
+    },
+    "suspendTime": {
+      "suspend": "Peata arvuti töö"
     }
   },
   "frigatePlus": {
@@ -145,20 +252,48 @@
         "cleanCopySnapshots": "<code>clean_copy</code> Hetkvõtted",
         "camera": "Kaamera"
       }
+    },
+    "modelInfo": {
+      "plusModelType": {
+        "userModel": "Peenhäälestatud"
+      },
+      "cameras": "Kaamerad"
     }
   },
   "masksAndZones": {
     "zones": {
       "point_one": "{{count}} punkt",
-      "point_other": "{{count}} punkti"
+      "point_other": "{{count}} punkti",
+      "label": "Tsoonid",
+      "desc": {
+        "documentation": "Dokumentatsioon"
+      },
+      "name": {
+        "title": "Nimi"
+      },
+      "inertia": {
+        "title": "Inerts"
+      },
+      "objects": {
+        "title": "Objektid"
+      }
     },
     "motionMasks": {
       "point_one": "{{count}} punkt",
-      "point_other": "{{count}} punkti"
+      "point_other": "{{count}} punkti",
+      "desc": {
+        "documentation": "Dokumentatsioon"
+      }
     },
     "objectMasks": {
       "point_one": "{{count}} punkt",
-      "point_other": "{{count}} punkti"
+      "point_other": "{{count}} punkti",
+      "desc": {
+        "documentation": "Dokumentatsioon"
+      },
+      "objects": {
+        "title": "Objektid"
+      }
     }
   },
   "roles": {
@@ -167,6 +302,21 @@
         "userRolesUpdated_one": "{{count}} selle rolliga kasutaja on nüüd määratud Vaatajaks, kellel on ligipääs kõikidele kaameratele.",
         "userRolesUpdated_other": "{{count}} selle rolliga kasutajat on nüüd määratud Vaatajaks, kellel on ligipääs kõikidele kaameratele."
       }
+    },
+    "table": {
+      "role": "Roll",
+      "cameras": "Kaamerad",
+      "actions": "Tegevused"
+    },
+    "dialog": {
+      "deleteRole": {
+        "deleting": "Kustutan..."
+      },
+      "form": {
+        "cameras": {
+          "title": "Kaamerad"
+        }
+      }
     }
   },
   "menu": {
@@ -178,7 +328,8 @@
     "users": "Kasutajad",
     "roles": "Rollid",
     "notifications": "Teavitused",
-    "frigateplus": "Frigate+"
+    "frigateplus": "Frigate+",
+    "cameraReview": "Ülevaatamine"
   },
   "dialog": {
     "unsavedChanges": {
@@ -189,5 +340,84 @@
   "cameraSetting": {
     "camera": "Kaamera",
     "noCamera": "Kaamerat pole"
+  },
+  "enrichments": {
+    "semanticSearch": {
+      "reindexNow": {
+        "confirmButton": "Indekseeri uuesti",
+        "label": "Indekseeri uuesti kohe"
+      },
+      "modelSize": {
+        "small": {
+          "title": "väike"
+        },
+        "large": {
+          "title": "suur"
+        }
+      },
+      "title": "Semantiline otsing"
+    },
+    "faceRecognition": {
+      "modelSize": {
+        "small": {
+          "title": "väike"
+        },
+        "large": {
+          "title": "suur"
+        }
+      }
+    },
+    "birdClassification": {
+      "title": "Lindude klassifikatsioon"
+    }
+  },
+  "cameraReview": {
+    "review": {
+      "title": "Ülevaatamine",
+      "alerts": "Hoiatused ",
+      "detections": "Tuvastamise tulemused "
+    }
+  },
+  "motionDetectionTuner": {
+    "Threshold": {
+      "title": "Lävi"
+    }
+  },
+  "triggers": {
+    "documentTitle": "Päästikud",
+    "management": {
+      "title": "Päästikud"
+    },
+    "table": {
+      "name": "Nimi",
+      "type": "Tüüp",
+      "content": "Sisu",
+      "threshold": "Lävi",
+      "actions": "Tegevused",
+      "edit": "Muuda"
+    },
+    "type": {
+      "thumbnail": "Pisipilt",
+      "description": "Kirjeldus"
+    },
+    "dialog": {
+      "form": {
+        "name": {
+          "title": "Nimi"
+        },
+        "type": {
+          "title": "Tüüp"
+        },
+        "content": {
+          "title": "Sisu"
+        },
+        "threshold": {
+          "title": "Lävi"
+        },
+        "actions": {
+          "title": "Tegevused"
+        }
+      }
+    }
   }
 }

web/public/locales/fr/common.json

@@ -175,7 +175,8 @@
       "bg": "Български (Bulgare)",
       "gl": "Galego (Galicien)",
       "id": "Bahasa Indonesia (Indonésien)",
-      "ur": "اردو (Ourdou)"
+      "ur": "اردو (Ourdou)",
+      "hr": "Hrvatski (Croate)"
     },
     "appearance": "Apparence",
     "darkMode": {

web/public/locales/fr/components/dialog.json

@@ -6,7 +6,8 @@
       "content": "Cette page sera rechargée dans {{countdown}} secondes.",
       "button": "Forcer l'actualisation maintenant"
     },
-    "button": "Redémarrer"
+    "button": "Redémarrer",
+    "description": "Frigate s'arrêtera momentanément pour redémarrer."
   },
   "explore": {
     "plus": {

web/public/locales/fr/views/faceLibrary.json

@@ -2,7 +2,8 @@
   "description": {
     "addFace": "Ajoutez une nouvelle collection à la bibliothèque de visages en téléversant votre première image.",
     "placeholder": "Saisissez un nom pour cette collection.",
-    "invalidName": "Nom invalide. Les noms ne peuvent contenir que des lettres, des chiffres, des espaces, des apostrophes, des traits de soulignement et des tirets."
+    "invalidName": "Nom invalide. Les noms ne peuvent contenir que des lettres, des chiffres, des espaces, des apostrophes, des traits de soulignement et des tirets.",
+    "nameCannotContainHash": "Le nom ne peut pas contenir le caractère #."
   },
   "details": {
     "person": "Personne",

web/public/locales/fr/views/settings.json

@@ -366,6 +366,11 @@
         "snapPoints": {
           "true": "Points d'accrochage",
           "false": "Ne pas réunir les points"
+        },
+        "type": {
+          "zone": "zone",
+          "motion_mask": "masque de mouvement",
+          "object_mask": "masque d'objet"
         }
       },
       "loiteringTime": {
@@ -649,7 +654,7 @@
           "hide": "Masquer le mot de passe",
           "requirements": {
             "title": "Critères du mot de passe :",
-            "length": "Au moins 8 caractères",
+            "length": "Au moins 12 caractères",
             "uppercase": "Au moins une lettre majuscule",
             "digit": "Au moins un chiffre",
             "special": "Au moins un caractère spécial (!@#$%^&*(),.?\":{}|<>)"

web/public/locales/hu/common.json

@@ -75,7 +75,8 @@
     "formattedTimestampMonthDay": "MMM d",
     "inProgress": "Folyamatban",
     "invalidStartTime": "Érvénytelen kezdeti idő",
-    "never": "Soha"
+    "never": "Soha",
+    "invalidEndTime": "Érvénytelen befejezési idő"
   },
   "menu": {
     "darkMode": {
@@ -106,7 +107,7 @@
       "logout": "Kijelentkezés",
       "title": "Felhasználó",
       "account": "Fiók",
-      "current": "Jelenlegi Felhazsnáló: {{user}}",
+      "current": "Jelenlegi Felhasználó: {{user}}",
       "anonymous": "anoním",
       "setPassword": "Jelszó Beállítása"
     },
@@ -153,7 +154,8 @@
       "bg": "Български (Bolgár)",
       "gl": "Galego (Galíciai)",
       "id": "Bahasa Indonesia (Indonéz)",
-      "ur": "اردو (Urdu)"
+      "ur": "اردو (Urdu)",
+      "hr": "Horvát"
     },
     "uiPlayground": "UI játszótér",
     "faceLibrary": "Arc Könyvtár",
@@ -175,7 +177,8 @@
     "system": "Rendszer",
     "configuration": "Konfiguráció",
     "systemLogs": "Rendszer naplók",
-    "settings": "Beállítások"
+    "settings": "Beállítások",
+    "classification": "Osztályozás"
   },
   "role": {
     "viewer": "Néző",
@@ -215,7 +218,7 @@
       }
     }
   },
-  "selectItem": "KIválasztani {{item}}-et",
+  "selectItem": "Kiválasztani {{item}}-et",
   "unit": {
     "speed": {
       "mph": "mph",
@@ -269,14 +272,29 @@
     "unselect": "Kijelölés megszüntetése",
     "export": "Exportálás",
     "deleteNow": "Törlés Most",
-    "next": "Következő"
+    "next": "Következő",
+    "continue": "Tovább"
   },
   "label": {
     "back": "Vissza",
-    "all": "Mind"
+    "all": "Mind",
+    "hide": "Elrejt {{item}}",
+    "show": "Mutat {{item}}",
+    "ID": "ID",
+    "none": "Nincs",
+    "other": "Egyéb"
   },
   "readTheDocumentation": "Olvassa el a dokumentációt",
   "information": {
     "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} és {{1}}",
+    "many": "{{items}}, és {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Opcionális",
+    "internalID": "A belső ID, amelyet a Frigate használ a konfigurációban és az adatbázisban"
   }
 }

web/public/locales/hu/components/dialog.json

@@ -6,7 +6,8 @@
       "title": "A Frigate újraindul",
       "content": "Az oldal újratölt {{countdown}} másodperc múlva.",
       "button": "Erőltetett újraindítás azonnal"
-    }
+    },
+    "description": "Ez rövid időre leállítja a Frigate programot, amíg újraindul."
   },
   "explore": {
     "plus": {
@@ -57,7 +58,8 @@
         "failed": "Nem sikerült elkezdeni az exportálást: {{error}}",
         "endTimeMustAfterStartTime": "A végső időpontnak a kezdeti időpont után kell következnie",
         "noVaildTimeSelected": "Nincs érvényes idő intervallum kiválasztva"
-      }
+      },
+      "view": "Megtekint"
     },
     "fromTimeline": {
       "saveExport": "Exportálás mentése",

web/public/locales/hu/views/classificationModel.json

@@ -13,8 +13,8 @@
   "toast": {
     "success": {
       "deletedImage": "Törölt képek",
-      "deletedModel_one": "Sikeresen törölt {{count}} modellt",
-      "deletedModel_other": "",
+      "deletedModel_one": "Sikeresen törölve {{count}} modell",
+      "deletedModel_other": "Sikeresen törölve {{count}} modell",
       "categorizedImage": "A kép sikeresen osztályozva",
       "deletedCategory": "Osztály törlése",
       "trainedModel": "Sikeresen betanított modell.",
@@ -24,7 +24,13 @@
     },
     "error": {
       "deleteImageFailed": "Törlés sikertelen: {{errorMessage}}",
-      "deleteCategoryFailed": "Nem sikerült törölni az osztályt: {{errorMessage}}"
+      "deleteCategoryFailed": "Nem sikerült törölni az osztályt: {{errorMessage}}",
+      "deleteModelFailed": "Modell törlése nem sikerült: {{errorMessage}}",
+      "categorizeFailed": "A kép kategorizálása sikertelen: {{errorMessage}}",
+      "trainingFailed": "A modell képzése sikertelen volt. A részletek a Frigate naplóiban találhatók.",
+      "trainingFailedToStart": "A modell képzésének elindítása sikertelen: {{errorMessage}}",
+      "updateModelFailed": "A modell frissítése sikertelen: {{errorMessage}}",
+      "renameCategoryFailed": "Az osztály átnevezése sikertelen: {{errorMessage}}"
     }
   },
   "details": {
@@ -54,5 +60,16 @@
   },
   "train": {
     "titleShort": "Friss"
+  },
+  "deleteCategory": {
+    "title": "Osztály törlése",
+    "desc": "Biztosan törölni szeretné a {{name}} osztályt? Ezzel véglegesen törli az összes kapcsolódó képet, és a modell újratanítására lesz szükség.",
+    "minClassesTitle": "Osztály törlése nem lehetséges"
+  },
+  "deleteModel": {
+    "title": "Osztályozási modell törlése",
+    "single": "Biztosan törölni szeretné a(z) {{name}}-t? Ezzel véglegesen törli az összes kapcsolódó adatot, beleértve a képeket és a tanítási adatokat is. Ez a művelet visszafordíthatatlan.",
+    "desc_one": "Biztosan törölni szeretné a(z) {{count}} modellt? Ezzel véglegesen törli az összes kapcsolódó adatot, beleértve a képeket és a tanítási adatokat is. Ez a művelet visszafordíthatatlan.",
+    "desc_other": "Biztosan törölni szeretné a(z) {{count}} modelleket? Ezzel véglegesen törli az összes kapcsolódó adatot, beleértve a képeket és a tanítási adatokat is. Ez a művelet visszafordíthatatlan."
   }
 }

web/public/locales/hu/views/events.json

@@ -54,5 +54,12 @@
     "alwaysExpandActive": {
       "title": "Mindig kibontja az aktív részt"
     }
-  }
+  },
+  "objectTrack": {
+    "trackedPoint": "Nyomon követett pont",
+    "clickToSeek": "Kattintson, az időponthoz ugráshoz"
+  },
+  "select_all": "Összes",
+  "needsReview": "Felülvizsgálatra szorul",
+  "securityConcern": "Biztonsági aggályok"
 }

web/public/locales/hu/views/explore.json

@@ -235,10 +235,19 @@
       "header": {
         "zones": "Zónák",
         "ratio": "Arány",
-        "area": "Terület"
-      }
+        "area": "Terület",
+        "score": "Pontszám"
+      },
+      "visible": "{{label}} észlelve",
+      "entered_zone": "{{label}} belépett {{zones}}",
+      "gone": "{{label}} maradt"
     },
     "title": "Követési adatok",
-    "noImageFound": "Nem található kép ehhez az időbélyeghez."
+    "noImageFound": "Nem található kép ehhez az időbélyeghez.",
+    "createObjectMask": "Objektum maszk létrehozása",
+    "scrollViewTips": "Kattintson ide, hogy megtekintse az objektum életciklusának fontosabb pillanatait.",
+    "autoTrackingTips": "Az automatikus követésű kamerák esetében a keret pozíciói pontatlanok lesznek.",
+    "count": "{{first}} a {{second}} közül",
+    "trackedPoint": "Nyomon követett pont"
   }
 }

web/public/locales/hu/views/faceLibrary.json

@@ -47,7 +47,8 @@
   "description": {
     "placeholder": "Adj nevet ennek a gyűjteménynek",
     "invalidName": "Nem megfelelő név. A nevek csak betűket, számokat, szóközöket, aposztrófokat, alulhúzásokat és kötőjeleket tartalmazhatnak.",
-    "addFace": "Adj hozzá egy új gyűjteményt az Arcképtárhoz az első képed feltöltésével."
+    "addFace": "Adj hozzá egy új gyűjteményt az Arcképtárhoz az első képed feltöltésével.",
+    "nameCannotContainHash": "A név nem tartalmazhat # karaktert."
   },
   "selectFace": "Arc kiválasztása",
   "deleteFaceLibrary": {
@@ -71,7 +72,7 @@
       "deletedName_one": "{{count}} arc sikeresen törölve.",
       "deletedName_other": "{{count}} arc sikeresen törölve.",
       "renamedFace": "Arc sikeresen átnvezezve {{name}}-ra/-re",
-      "updatedFaceScore": "Arc pontszáma sikeresen frissítve.",
+      "updatedFaceScore": "Arc pontszáma sikeresen frissítve a következőhöz {{name}} ({{score}}).",
       "trainedFace": "Arc sikeresen betanítva.",
       "deletedFace_one": "{{count}} arc sikeresen törölve.",
       "deletedFace_other": "{{count}} arc sikeresen törölve."

web/public/locales/hu/views/settings.json

@@ -50,6 +50,12 @@
       "playAlertVideos": {
         "label": "Riasztási Videók Lejátszása",
         "desc": "Alapértelmezetten az Élő irányítópulton a legutóbbi riasztások kis, ismétlődő videóként jelennek meg. Kapcsolja ki ezt az opciót, ha csak állóképet szeretne megjeleníteni a legutóbbi riasztásokról ezen az eszközön/böngészőben."
+      },
+      "displayCameraNames": {
+        "label": "Mindig mutatja a kamera nevét"
+      },
+      "liveFallbackTimeout": {
+        "desc": "Ha a kamera kiváló minőségű élő közvetítése nem elérhető, ennyi másodperc elteltével váltson alacsony sávszélességű módra. Alapértelmezett: 3."
       }
     },
     "title": "Alapbeállítások",
@@ -806,7 +812,7 @@
         "updateCameras": "Kamerák frissítve a szerepkörhöz: {{role}}",
         "deleteRole": "Szerepkör sikeresen törölve: {{role}}",
         "userRolesUpdated_one": "{{count}} felhasználó, akit ehhez a szerepkörhöz rendeltünk, frissült „néző”-re, amely hozzáféréssel rendelkezik az összes kamerához.",
-        "userRolesUpdated_other": ""
+        "userRolesUpdated_other": "{{count}} felhasználó, akit ehhez a szerepkörhöz rendeltünk, frissült „néző”-re, amely hozzáféréssel rendelkezik az összes kamerához."
       },
       "error": {
         "createRoleFailed": "Nem sikerült létrehozni a szerepkört: {{errorMessage}}",

web/public/locales/hu/views/system.json

@@ -66,7 +66,7 @@
     "type": {
       "label": "Típus",
       "timestamp": "Időbélyeg",
-      "tag": "Cédula",
+      "tag": "Címke",
       "message": "Üzenet"
     },
     "toast": {

web/public/locales/id/components/dialog.json

@@ -6,7 +6,8 @@
       "title": "Sedang Merestart Frigate",
       "content": "Halaman ini akan memulai ulang dalam {{countdown}} detik.",
       "button": "Muat Ulang Sekarang"
-    }
+    },
+    "description": "Layanan Frigate akan terhenti sejenak saat proses restart."
   },
   "explore": {
     "plus": {

web/public/locales/id/views/classificationModel.json

@@ -1,12 +1,14 @@
 {
   "documentTitle": "Klasifikasi Model - Frigate",
   "details": {
-    "scoreInfo": "Skor tersebut mewakili rata-rata kepercayaan klasifikasi di seluruh deteksi objek ini."
+    "scoreInfo": "Skor tersebut mewakili rata-rata kepercayaan klasifikasi di seluruh deteksi objek ini.",
+    "none": "Tidak ada",
+    "unknown": "Tidak diketahui"
   },
   "button": {
     "deleteClassificationAttempts": "Hapus Gambar Klasifikasi",
-    "renameCategory": "Ubah Nama Kelas",
-    "deleteCategory": "Hapus Kelas",
+    "renameCategory": "Ganti Nama Class",
+    "deleteCategory": "Hapus Class",
     "deleteImages": "Hapus Gambar",
     "trainModel": "Latih Model",
     "addClassification": "Tambah Klasifikasi",
@@ -14,14 +16,14 @@
     "editModel": "Ubah Model"
   },
   "tooltip": {
-    "trainingInProgress": "Model dalam training",
-    "noNewImages": "Tidak ada gambar untuk dilatih. Klasifikasikan gambar terlebih dahulu di dataset.",
+    "trainingInProgress": "Model sedang training",
+    "noNewImages": "Tidak ada gambar baru untuk training. Klasifikasi lebih banyak gambar di dataset terlebih dahulu.",
     "noChanges": "Tidak ada perubahan dataset sejak latihan terakhir.",
     "modelNotReady": "Model tidak siap untuk dilatih"
   },
   "toast": {
     "success": {
-      "deletedCategory": "Kelas dihapus",
+      "deletedCategory": "Class Dihapus",
       "deletedImage": "Image dihapus",
       "deletedModel_other": "Berhasil menghapus {{count}} model",
       "categorizedImage": "Berhasil Mengklasifikasikan Gambar",
@@ -31,17 +33,61 @@
       "renamedCategory": "Berhasil mengganti nama class ke {{name}}"
     },
     "error": {
-      "updateModelFailed": "Gagal melakukan perubahan pada model: {{errorMessage}}",
+      "updateModelFailed": "Gagal update model: {{errorMessage}}",
       "renameCategoryFailed": "Gagal merubah penamaan kelas: {{errorMessage}}",
       "deleteImageFailed": "Gagal menghapus: {{errorMessage}}",
-      "deleteCategoryFailed": "Gagal menghapus kelas: {{errorMessage}}"
+      "deleteCategoryFailed": "Gagal menghapus kelas: {{errorMessage}}",
+      "deleteModelFailed": "Gagal menghapus model: {{errorMessage}}",
+      "categorizeFailed": "Gagal mengkategorikan gambar: {{errorMessage}}",
+      "trainingFailed": "Gagal melakukan training model. Cek log Frigate untuk rinciannya.",
+      "trainingFailedToStart": "Gagal memulai training model: {{errorMessage}}"
     }
   },
   "deleteCategory": {
     "title": "Kelas dihapus",
-    "minClassesTitle": "Dilarang menghapus Kelas"
+    "minClassesTitle": "Dilarang menghapus Kelas",
+    "desc": "Apakah Anda yakin ingin menghapus class {{name}}? Ini akan menghapus semua gambar terkait secara permanen dan memerlukan re-training model.",
+    "minClassesDesc": "Model klasifikasi harus memiliki setidaknya 2 class. Tambahkan class lain sebelum menghapus yang ini."
   },
   "train": {
     "titleShort": "Terkini"
+  },
+  "wizard": {
+    "title": "Buat Klasifikasi Baru",
+    "steps": {
+      "nameAndDefine": "Nama & Definisi",
+      "stateArea": "Pilih Area",
+      "chooseExamples": "Pilih Contoh"
+    },
+    "step1": {
+      "description": "State model memantau area kamera yang tetap untuk setiap perubahan (contoh: pintu terbuka/tertutup). Object model menambahkan klasifikasi pada objek yang terdeteksi (contoh: hewan tertentu, kurir, dll.).",
+      "name": "Nama",
+      "namePlaceholder": "Masukkan nama model...",
+      "type": "Tipe",
+      "typeState": "Status",
+      "typeObject": "Objek",
+      "objectLabel": "Label Objek",
+      "objectLabelPlaceholder": "Pilih tipe objek...",
+      "classificationType": "Pilih Klasifikasi",
+      "classificationTypeTip": "Pelajari tentang tipe klasifikasi",
+      "classificationTypeDesc": "Sub Label menambahkan teks tambahan pada label objek (contoh: 'Orang: UPS'). Atribut adalah metadata yang dapat dicari dan disimpan secara terpisah di dalam metadata objek.",
+      "classificationSubLabel": "Sub Label",
+      "classificationAttribute": "Atribut",
+      "classes": "Class",
+      "classesTip": "Pelajari tentang class",
+      "classesStateDesc": "Tentukan berbagai status (state) pada area kamera Anda. Contoh: 'terbuka' dan 'tertutup' untuk pintu garasi.",
+      "classesObjectDesc": "Tentukan kategori berbeda untuk mengklasifikasikan objek yang terdeteksi. Contoh: 'kurir', 'penghuni', 'orang_asing' untuk klasifikasi orang.",
+      "classPlaceholder": "Masukkan nama class...",
+      "errors": {
+        "nameRequired": "Nama model wajib diisi",
+        "nameLength": "Nama model maksimal 64 karakter",
+        "nameOnlyNumbers": "Nama model tidak boleh hanya berisi angka",
+        "classRequired": "Setidaknya harus ada 1 class yang diisi",
+        "classesUnique": "Nama class harus unik",
+        "stateRequiresTwoClasses": "State model memerlukan minimal 2 class",
+        "objectLabelRequired": "Silakan pilih label objek",
+        "objectTypeRequired": "Silakan pilih tipe klasifikasi"
+      }
+    }
   }
 }

web/public/locales/it/common.json

@@ -208,7 +208,8 @@
       "bg": "Български (Bulgaro)",
       "gl": "Galego (Galiziano)",
       "id": "Bahasa Indonesia (Indonesiano)",
-      "ur": "اردو (Urdu)"
+      "ur": "اردو (Urdu)",
+      "hr": "Hrvatski (Croato)"
     },
     "darkMode": {
       "label": "Modalità scura",

web/public/locales/it/components/dialog.json

@@ -6,7 +6,8 @@
       "title": "Frigate si sta riavviando",
       "content": "Questa pagina si ricaricherà in {{countdown}} secondi.",
       "button": "Forza ricarica ora"
-    }
+    },
+    "description": "Questo fermerà brevemente Frigate mentre si riavvia."
   },
   "explore": {
     "plus": {
@@ -84,7 +85,7 @@
       "label": "Mostra statistiche di trasmissione",
       "desc": "Abilita questa opzione per visualizzare le statistiche della trasmissione come sovrapposizione sul flusso della telecamera."
     },
-    "debugView": "Visualizzazione debug",
+    "debugView": "Vista correzioni",
     "restreaming": {
       "disabled": "La ritrasmissione non è abilitata per questa telecamera.",
       "desc": {

web/public/locales/it/views/faceLibrary.json

@@ -3,7 +3,8 @@
   "description": {
     "addFace": "Aggiungi una nuova raccolta alla Libreria dei Volti caricando la tua prima immagine.",
     "placeholder": "Inserisci un nome per questa raccolta",
-    "invalidName": "Nome non valido. I nomi possono contenere solo lettere, numeri, spazi, apostrofi, caratteri di sottolineatura e trattini."
+    "invalidName": "Nome non valido. I nomi possono contenere solo lettere, numeri, spazi, apostrofi, caratteri di sottolineatura e trattini.",
+    "nameCannotContainHash": "Il nome non può contenere #."
   },
   "details": {
     "confidence": "Fiducia",

web/public/locales/it/views/settings.json

@@ -10,7 +10,7 @@
     "general": "Impostazioni interfaccia - Frigate",
     "frigatePlus": "Impostazioni Frigate+ - Frigate",
     "notifications": "Impostazioni di notifiche - Frigate",
-    "enrichments": "Impostazioni Componenti Aggiuntivi - Frigate",
+    "enrichments": "Impostazioni di miglioramento - Frigate",
     "cameraManagement": "Gestisci telecamere - Frigate",
     "cameraReview": "Impostazioni revisione telecamera - Frigate"
   },
@@ -87,9 +87,9 @@
       "desc": "Mostra un riquadro della regione di interesse inviata al rilevatore di oggetti"
     },
     "noObjects": "Nessun oggetto",
-    "title": "Debug",
-    "desc": "La vista di debug mostra in tempo reale gli oggetti tracciati e le relative statistiche. L'elenco degli oggetti mostra un riepilogo in differita degli oggetti rilevati.",
-    "debugging": "Debugging",
+    "title": "Correzioni",
+    "desc": "La vista di correzione mostra una vista in tempo reale degli oggetti tracciati e delle relative statistiche. L'elenco degli oggetti mostra un riepilogo ritardato degli oggetti rilevati.",
+    "debugging": "Correzioni",
     "objectList": "Elenco degli oggetti",
     "mask": {
       "desc": "Mostra i poligoni della maschera di movimento",
@@ -181,6 +181,11 @@
         },
         "error": {
           "mustBeFinished": "Prima di salvare, è necessario terminare il disegno del poligono."
+        },
+        "type": {
+          "zone": "zona",
+          "motion_mask": "maschera di movimento",
+          "object_mask": "maschera di oggetto"
         }
       },
       "inertia": {
@@ -377,14 +382,14 @@
     "classification": "Classificazione",
     "cameras": "Impostazioni telecamera",
     "masksAndZones": "Maschere / Zone",
-    "debug": "Debug",
+    "debug": "Correzioni",
     "users": "Utenti",
     "frigateplus": "Frigate+",
-    "enrichments": "Componenti Aggiuntivi",
+    "enrichments": "Miglioramenti",
     "triggers": "Inneschi",
     "roles": "Ruoli",
     "cameraManagement": "Gestione",
-    "cameraReview": "Revisione"
+    "cameraReview": "Rivedi"
   },
   "users": {
     "dialog": {
@@ -432,7 +437,7 @@
           "hide": "Nascondi password",
           "requirements": {
             "title": "Requisiti password:",
-            "length": "Almeno 8 caratteri",
+            "length": "Almeno 12 caratteri",
             "uppercase": "Almeno una lettera maiuscola",
             "digit": "Almeno una cifra",
             "special": "Almeno un carattere speciale (!@#$%^&*(),.?\":{}|<>)"
@@ -510,7 +515,7 @@
       },
       "playAlertVideos": {
         "label": "Riproduci video di avvisi",
-        "desc": "Per impostazione predefinita, gli avvisi recenti nella dashboard Live vengono riprodotti come piccoli video in loop. Disabilita questa opzione per mostrare solo un'immagine statica degli avvisi recenti su questo dispositivo/browser."
+        "desc": "Per impostazione predefinita, gli avvisi recenti nella schermata dal vivo vengono riprodotti come brevi video in ciclo. Disattiva questa opzione per visualizzare solo un'immagine statica degli avvisi recenti su questo dispositivo/browser."
       },
       "title": "Schermata dal vivo",
       "displayCameraNames": {
@@ -534,7 +539,7 @@
       "clearAll": "Cancella tutte le impostazioni di trasmissione"
     },
     "recordingsViewer": {
-      "title": "Visualizzatore di registrazioni",
+      "title": "Visualizzatore registrazioni",
       "defaultPlaybackRate": {
         "label": "Velocità di riproduzione predefinita",
         "desc": "Velocità di riproduzione predefinita per la riproduzione delle registrazioni."
@@ -640,7 +645,7 @@
     "title": "Regolatore di rilevamento del movimento",
     "contourArea": {
       "title": "Area di contorno",
-      "desc": "Il valore dell'area di contorno viene utilizzato per decidere quali gruppi di pixel modificati possono essere considerati movimento. <em>Predefinito: 10</em>"
+      "desc": "Il valore dell'area del contorno viene utilizzato per decidere quali gruppi di pixel modificati sono considerati movimento. <em>Predefinito: 10</em>"
     },
     "Threshold": {
       "title": "Soglia",
@@ -708,10 +713,10 @@
   },
   "enrichments": {
     "toast": {
-      "success": "Le impostazioni dei componenti aggiuntivi sono state salvate. Riavvia Frigate per applicare le modifiche.",
+      "success": "Le impostazioni di miglioramento sono state salvate. Riavvia Frigate per applicare le modifiche.",
       "error": "Impossibile salvare le modifiche alla configurazione: {{errorMessage}}"
     },
-    "title": "Impostazioni Componenti Aggiuntivi",
+    "title": "Impostazioni di miglioramento",
     "semanticSearch": {
       "reindexNow": {
         "desc": "La reindicizzazione rigenererà gli incorporamenti per tutti gli oggetti tracciati. Questo processo viene eseguito in sottofondo e potrebbe impegnare al massimo la CPU e richiedere un tempo considerevole, a seconda del numero di oggetti tracciati.",
@@ -765,8 +770,8 @@
       "title": "Riconoscimento targhe",
       "readTheDocumentation": "Leggi la documentazione"
     },
-    "unsavedChanges": "Modifiche alle impostazioni dei Componenti aggiuntivi non salvate",
-    "restart_required": "Riavvio richiesto (impostazioni dei componenti aggiuntivi modificate)"
+    "unsavedChanges": "Modifiche alle impostazioni di miglioramento non salvate",
+    "restart_required": "Riavvio richiesto (impostazioni di miglioramento modificate)"
   },
   "triggers": {
     "documentTitle": "Inneschi",
@@ -1278,7 +1283,7 @@
     "backToSettings": "Torna alle impostazioni della telecamera",
     "streams": {
       "title": "Abilita/Disabilita telecamere",
-      "desc": "Disattiva temporaneamente una telecamera fino al riavvio di Frigate. La disattivazione completa di una telecamera interrompe l'elaborazione dei flussi di questa telecamera da parte di Frigate. Rilevamento, registrazione e debug non saranno disponibili.<br /> <em>Nota: questa operazione non disattiva le ritrasmissioni di go2rtc.</em>"
+      "desc": "Disattiva temporaneamente una telecamera fino al riavvio di Frigate. La disattivazione completa di una telecamera interrompe l'elaborazione dei flussi di questa telecamera da parte di Frigate. Rilevamento, registrazione e correzioni non saranno disponibili.<br /> <em>Nota: questa operazione non disattiva le ritrasmissioni di go2rtc.</em>"
     },
     "cameraConfig": {
       "add": "Aggiungi telecamera",

web/public/locales/it/views/system.json

@@ -1,7 +1,7 @@
 {
   "documentTitle": {
     "cameras": "Statistiche telecamere - Frigate",
-    "enrichments": "Statistiche Componenti Aggiuntivi - Frigate",
+    "enrichments": "Statistiche di miglioramento - Frigate",
     "storage": "Statistiche archiviazione - Frigate",
     "general": "Statistiche generali - Frigate",
     "logs": {
@@ -117,7 +117,7 @@
       "classification_speed": "Velocità di classificazione {{name}}",
       "classification_events_per_second": "Eventi di classificazione {{name}} al secondo"
     },
-    "title": "Componenti Aggiuntivi",
+    "title": "Miglioramenti",
     "infPerSecond": "Inferenze al secondo",
     "averageInf": "Tempo medio di inferenza"
   },

web/public/locales/ja/common.json

@@ -69,7 +69,8 @@
     },
     "inProgress": "処理中",
     "invalidStartTime": "開始時刻が無効です",
-    "invalidEndTime": "終了時刻が無効です"
+    "invalidEndTime": "終了時刻が無効です",
+    "never": "なし"
   },
   "readTheDocumentation": "ドキュメントを見る",
   "unit": {
@@ -96,7 +97,8 @@
     "show": "{{item}} を表示",
     "ID": "ID",
     "none": "なし",
-    "all": "すべて"
+    "all": "すべて",
+    "other": "その他"
   },
   "button": {
     "apply": "適用",
@@ -232,7 +234,8 @@
       "ur": "اردو (ウルドゥー語)",
       "withSystem": {
         "label": "システム設定に従う"
-      }
+      },
+      "hr": "Hrvatski (クロアチア語)"
     },
     "classification": "分類"
   },

web/public/locales/ja/components/dialog.json

@@ -6,7 +6,8 @@
       "content": "このページは {{countdown}} 秒後に再読み込みされます。",
       "button": "今すぐ強制再読み込み"
     },
-    "button": "再起動"
+    "button": "再起動",
+    "description": "再起動の間、Frigateが一時的に停止します。"
   },
   "explore": {
     "plus": {

web/public/locales/ja/views/faceLibrary.json

@@ -2,7 +2,8 @@
   "description": {
     "placeholder": "このコレクションの名前を入力",
     "addFace": "最初の画像をアップロードして、フェイスライブラリに新しいコレクションを追加してください。",
-    "invalidName": "無効な名前です。使用できるのは、英数字、空白、アポストロフィ、アンダースコア、ハイフンのみです。"
+    "invalidName": "無効な名前です。使用できるのは、英数字、空白、アポストロフィ、アンダースコア、ハイフンのみです。",
+    "nameCannotContainHash": "名前に # は使用できません。"
   },
   "details": {
     "person": "人物",

web/public/locales/ja/views/live.json

@@ -176,6 +176,16 @@
     "restricted": {
       "title": "利用可能なカメラがありません",
       "description": "このグループ内のカメラを表示する権限がありません。"
+    },
+    "default": {
+      "title": "設定済みのカメラがありません",
+      "description": "Frigate にカメラを接続して開始しましょう。",
+      "buttonText": "カメラを追加"
+    },
+    "group": {
+      "title": "このグループにカメラがありません",
+      "description": "このカメラグループには、割り当て済みまたは有効なカメラがありません。",
+      "buttonText": "グループを管理"
     }
   },
   "snapshot": {

web/public/locales/ja/views/settings.json

@@ -288,6 +288,11 @@
         },
         "error": {
           "mustBeFinished": "保存する前に多角形の作図を完了してください。"
+        },
+        "type": {
+          "zone": "ゾーン",
+          "motion_mask": "モーションマスク",
+          "object_mask": "オブジェクトマスク"
         }
       }
     },
@@ -532,7 +537,7 @@
           "hide": "パスワードを非表示",
           "requirements": {
             "title": "パスワード要件：",
-            "length": "8 文字以上",
+            "length": "12文字以上",
             "uppercase": "大文字を 1 文字以上含める",
             "digit": "数字を 1 文字以上含める",
             "special": "少なくとも 1 つの特殊文字（!@#$%^&*(),.?”:{}|<>）が必要です"
@@ -1185,11 +1190,11 @@
     "title": "カメラレビュー設定",
     "object_descriptions": {
       "title": "生成AIによるオブジェクト説明",
-      "desc": "このカメラに対する生成AIのオブジェクト説明を一時的に有効／無効にします。無効にすると、このカメラの追跡オブジェクトについてAI生成の説明は要求されません。"
+      "desc": "Frigateが再起動するまで、このカメラの生成AIによる物体説明を一時的に有効/無効にします。無効にすると、このカメラで追跡された物体に対してAI生成の説明は生成されません。"
     },
     "review_descriptions": {
       "title": "生成AIによるレビュー説明",
-      "desc": "このカメラに対する生成AIのレビュー説明を一時的に有効／無効にします。無効にすると、このカメラのレビュー項目についてAI生成の説明は要求されません。"
+      "desc": "Frigateが再起動するまで、このカメラの生成AIによるレビュー説明を一時的に有効/無効にします。無効にすると、このカメラのレビュー項目に対してAI生成の説明は生成されません。"
     },
     "review": {
       "title": "レビュー",

web/public/locales/ja/views/system.json

@@ -86,7 +86,14 @@
     "otherProcesses": {
       "title": "その他のプロセス",
       "processCpuUsage": "プロセスの CPU 使用率",
-      "processMemoryUsage": "プロセスのメモリ使用量"
+      "processMemoryUsage": "プロセスのメモリ使用量",
+      "series": {
+        "recording": "録画",
+        "review_segment": "レビューセグメント",
+        "audio_detector": "音声検知",
+        "go2rtc": "go2rtc",
+        "embeddings": "ベクトル埋め込み"
+      }
     }
   },
   "storage": {

web/public/locales/ka/audio.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/common.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/auth.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/camera.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/dialog.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/filter.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/icons.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/input.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/components/player.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/objects.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/classificationModel.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/configEditor.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/events.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/explore.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/exports.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/faceLibrary.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/live.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/recording.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/search.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/settings.json

@@ -0,0 +1 @@
+{}

web/public/locales/ka/views/system.json

@@ -0,0 +1 @@
+{}

web/public/locales/lv/common.json

@@ -81,7 +81,8 @@
     "untilForRestart": "Līdz Frigate pārstartējas.",
     "untilRestart": "Līdz pārstartēšanai",
     "ago": "{{timeAgo}} pirms",
-    "justNow": "Nupat"
+    "justNow": "Nupat",
+    "never": "Nekad"
   },
   "unit": {
     "speed": {
@@ -107,7 +108,8 @@
     "show": "Rādīt {{item}}",
     "ID": "ID",
     "none": "Nav",
-    "all": "Viss"
+    "all": "Viss",
+    "other": "Cits"
   },
   "list": {
     "two": "{{0}} un {{1}}",