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Otto
423ee2fe72
* Initial copy timestamp url implementation
* revise url format
* Implement share timestamp dialog
* Use translations
* Add comments
* Add validations to shared link
* Switch to searchEffect implementation
* Add missing accessibility related dialog description
* Change URL format to unix timestamps
* Remove unnecessary useEffect
* Remove duplicated dialog title
* Fixes/improvements based off PR review comments
* Add missing cancel button & separators to dialog
* Make share description clearer
* Bugfix: guard against showing toasts twice
Because this effect ends up running multiple times
* Clamp future timestamps to now
* Revert "Bugfix: guard against showing toasts twice"
This reverts commit 99fa5e1dee.
* Use normal separator
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Fixes based off PR review comments
* Bugfix: Share dialog was not receiving the player timestamp after removing key that triggered remounts
* Defer `setRecording` and return true from hook for cleanup
* Remove timeout defer hack in favor of refactored hook
* Attempt to replay video muted on NotAllowedError
* Use separate persistent mute and temporary forced mute states
* Align cancel button with other dialogs
* Prevent wrapping on dialog title
* Remove extra "back" button on mobile drawer
* Fix back navigation when coming from direct shared timestamp links
* Use new timeformat hook
* Simplify dialog radio buttons
* Apply suggestions from code review
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
---------
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
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.