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d3d05fa397
* Add option to not trim clip * Improve API * Update snapshot for new best objects * Fix missing strings * Convert to separate key * Always include bounding box on snapshots * improve autotracking relative zooming time calculation * update proxy docs to note the need for comma separated header roles * Add count translation * tracked object lifecycle i18n fix * update speed estimation docs * clarity * Re-initialize onvif information when toggling camera on live view * Move time ago to card info and add face area * Clarify face recognition docs * Increase minimum face recognition area * use clipFrom to in vod module endpoint to start at the correct time * Cleanup media api * Don't change duration * Use search detail dialog for face library * Move to segment based * Cleanup * Add back duration modification * clean up docs --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Frigate - NVR With 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 such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
- 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.
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.
