
Frigate NVR
A complete and local NVR with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. With a very good HomeAssistan...
- Free • Open Source
- Linux
- Self-Hosted
What is Frigate NVR?
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 RTMP to reduce the number of connections to your camera
Frigate NVR Screenshots



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Supported Languages
- English
GitHub repository
- 8,250 Stars
- 836 Forks
- 303 Open Issues
- Updated
Comments and Reviews
Tags
- nvr
- ip-surveillance
- cctv-surveillance
- surveillance
Recent user activities on Frigate NVR
- returnedinformation liked Frigate NVRre
1ambert liked Frigate NVR
- f3l1x reviewed Frigate NVRf3
Love it! Was trying much alternatives like ispy, shinobi, kerberos, zoneminder and motioneye. Nothing worked as easy and as responsive. Good video how to install it it Homeassisstant: https://www.youtube.com/watch?v=43E5bxuaVj4
Love it! Was trying much alternatives like ispy, shinobi, kerberos, zoneminder and motioneye. Nothing worked as easy and as responsive. Good video how to install it it Homeassisstant: https://www.youtube.com/watch?v=43E5bxuaVj4