forked from Github/frigate
64988c9be0
* Break out live page * Improving layouts and add chip component * Improve default camera player sizing * Improve live updating * Cleanup and fit figma * Use fixed height * Masonry layout * Fix stuff * Don't force heights * Adjust scaling * Cleanup * remove sidebar (#9731) * remove sidebar * keep sidebar on mobile for now and add icons * Fix revalidation * Cleanup * Cleanup width * Add chips for activity on cameras * Remove dashboard from header * Use Inter font (#9735) * Show still image when no activity is occurring * remove unused search params * add playing check for webrtc * Don't use grid at all for single column * Fix height on mobile * a few style updates to better match figma (#9745) * Remove active objects when they become stationary * Move to sidebar only and make settings separate component * Fix layout * Animate visibility of chips * Sidebar is full screen * Fix tall aspect ratio cameras * Fix complicated aspect logic * remove * Adjust thumbnail aspect and add text * margin on single column layout * Smaller event thumb text * Simplify basic image view * Only show the red dot when camera is recording * Improve typing for camera toggles * animate chips with react-transition-group (#9763) * don't flash when going to still image * revalidate * tooltips and active tracking outline (#9766) * tooltips * fix tooltip provider and add active tracking outline * remove unused icon * remove figma comment * Get live mode working for jsmpeg * add small gradient below timeago on event thumbnails (#9767) * Create live mode hook and make sure jsmpeg can be used * Enforce env var * Use print * Remove unstable * Add tooltips to thumbnails * Put back vite * Format * Update web/src/components/player/JSMpegPlayer.tsx --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> Co-authored-by: Blake Blackshear <blake@frigate.video>
Frigate - NVR With Realtime Object Detection for IP Cameras
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 Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS 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
Integration into Home Assistant
Also comes with a builtin UI:
