forked from Github/frigate
aacb8c84e0
* adds adjust_time which allows users to fix an issue with onvif authentication where time is not syncrhonized * updated adjust_time to ignore_time_mismatch to make it clearer what this option does * adds ignore_time_mismatch to the reference.md and adds a line about the security risk this can introduce as well as the recommendation to setup NTP for both ends. * fix format error * happy now linter? * white space * Update docs/docs/configuration/reference.md Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> --------- Co-authored-by: Stephen Butler <stephen.butler@ni.com> Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
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.