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	NVR with realtime local object detection for IP cameras
			
		
		
			
			aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
			
		
		
		
		
		
		
		
		
		
		
			| * 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> | ||
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Frigate - NVR With Realtime Object Detection for IP Cameras
EnglishA 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.
