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Josh HawkinsandGitHub
3d3f6a0678
* reject push endpoints that crash the vapid audience parse The validator accepted hostnames like "." so https://./x passed, and check_registrations then raised ValueError slicing the endpoint, killing the dispatcher's IPC thread. The validator now rejects empty hostname labels and lives in webpush.py, the audience comes from urlparse, and _build_web_pushers skips stored rows whose endpoint fails validation. * keep the ipc thread alive when a handler raises An exception from any dispatcher handler escaped InterProcessCommunicator.read, which only caught ZMQError. The REP thread died owing a reply, so every InterProcessRequestor blocked forever. read now logs the error and replies with an empty response, and Dispatcher.publish and publish_local catch per communicator so one failing communicator can't take down the rest. * stop push sends from reaching internal addresses pywebpush posts through requests with redirects enabled, so an endpoint could answer 307 to http://127.0.0.1:5000/api/restart and the sender would follow it into the internal admin port on every alert. Pushers now use a session that never follows redirects, and each send first resolves the endpoint host and skips it unless every address is global. * keep the previous region grid when the refresh request fails The IPC reader now replies [] when a handler raises, and process_frames assigned that reply to region_grid unconditionally. The next region lookup then indexed into an empty list and killed the camera's detect process. An empty reply now keeps the current grid until the next daily refresh. * drop the send-time public address check Refusing non-global resolved addresses broke Tailscale (100.64.0.0/10), split-horizon DNS and HTTPS_PROXY-only setups, and added little once redirects are no longer followed and TLS verification stays on. * only skip stored push rows that break the vapid audience Running the full registration validator over stored rows dropped self-hosted endpoints registered before 0.18 with a non-443 port or a bare / path. _build_web_pushers now skips only non-dict rows, rows with no endpoint, unparsable endpoints and hosts with empty labels, and the warning names the host so the row can be found. Registration still uses the full validator.
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.