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* Add ability to update Frigate+ model to latest * UI tweaks * further UI tweaks * UI tweaks: add width and height, fix select * Add placeholder while API call in progress * Fix Frigate+ enabled check * Fix config change lost when reloading page * Add persistent message requiring restart * Drop down supported detectors and dimensions * Add width and height to display * Update FrigatePlusSettingsView.tsx * Temp fix for Codespaces not loading * Add i18n, format * remove unneeded brackets * missing colon * Revert "Temp fix for Codespaces not loading" This reverts commit 75b19674ce3c33e69308358c29e80bf2774f377d.
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 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.