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* hold the last frame on screen while switching live streams Switching streams in the single camera view blanked the player until the new stream played, because the old player unmounts in the same render and the hidden new player gave the card no height. The outgoing video's last frame is now drawn to a canvas before the remount and covers the gap until the new stream plays, and the card takes the camera's aspect ratio so it keeps its size while the video is hidden. * show live streams as a one-tap grid in the mobile drawer Switching streams on mobile meant scrolling past the camera toggles, opening a dropdown, and picking a stream. The drawer now opens with the stream section, and streams are a wrapping grid of toggles sized to their names, so a switch is two taps. A single stream shows as plain text. The audio and two-way talk lines show a spinner while the stream's go2rtc metadata loads instead of reporting audio as unavailable, which showed on the first switch to a transcoded stream. * don't capture the switch frame on tiles that show the camera still
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.
Description
NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
Readme
MIT
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