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When a motion region filter is active, zoom each preview clip into the outer bounds of the selected cells instead of showing the full frame. Tiles take on the aspect ratio of the cropped region, clamped to avoid slivers when the selection is a single row or column, so the grid stays uniform. A "Crop to filter" switch in the preview settings turns this off and restores the previous 16:9 tiles. The transform is applied to a wrapper holding both the media and the dim overlay canvas so the motion heatmap stays registered to the pixels. Fix the region filter grid, which mapped cells onto a hardcoded 16:9 box while the snapshot was letterboxed inside it with object-contain. Heatmap cells are indexed against the detect frame, so on a 4:3 camera every painted cell was off by up to 12.5% of the frame width, and the true left and right edges of the image could only be reached by painting the black bars. The grid box now takes the camera's detect aspect ratio, capped at 65dvh tall so 4:3 and portrait cameras do not overflow the dialog.
Frigate NVR™ - Realtime Object Detection for IP Cameras
[English] | 简体中文
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.
- Tight integration with Home Assistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
License
This project is licensed under the MIT License.
- Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
- Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.
Please see our Trademark Policy for details on acceptable use of our brand assets.
Screenshots
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
Copyright © 2026 Frigate, Inc.