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Josh HawkinsandGitHub
796aec7a4a
* limit concurrent motion search jobs and search range Any viewer could start unlimited motion search jobs over an unbounded time range, and finished jobs were never dropped from memory. Each user now gets one active job (409), at most 3 run at once (429), the range is capped at 48 hours, and finished jobs are evicted 10 minutes after they end. Jobs are no longer filed in the shared job manager, which kept every finished job forever. * show translated errors for motion search limits * release the motion search slot if the runner fails to start * keep wedged or shared-identity motion searches from locking out users A stalled VOD read blocked the runner forever, so a wedged job held its user and global slot until restart, and on installs without per-user identity (internal port, or auth disabled without a proxy user header) everyone shared one per-user slot. VOD ffmpeg and ffprobe inputs now use a 30 s rw_timeout, a cancel also drops queued parallel runs, a cancelled job stops counting after 60 s, and the per-user limit only applies when the request carries a real username. A failed runner start also stops its requestor. * treat timed-out VOD segments as motion search errors With rw_timeout, the HLS demuxer skipped a timed-out segment and exited cleanly, so a run reported success with a hole in it, and when the keyframe probe and the decode lost different segments the equal frame counts paired frames with the wrong timestamps. The keyframe path now requires the probe to cover the whole run without a gap over 5 s, a decode whose stderr shows a skipped segment fails the run, and a cadence decode more than 5 s short of the run's duration fails it too, so these runs land in segments_with_errors. The keyframe probe polls should_stop and is killed on cancel, probe_video_dimensions gets the read timeout, and a user's own cancelled job no longer blocks their next search while it still counts toward the global cap. * drop motion search stall detection and range cap * remove motion search range check from the UI
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.