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NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
74ca009b0b
* db migration * db model * assign admin role on password reset * add role to jwt and api responses * don't restrict api access for admins yet * use json response * frontend auth context * update auth form for profile endpoint * add access denied page * add protected routes * auth hook * dialogs * user settings view * restrict viewer access to settings * restrict camera functions for viewer role * add password dialog to account menu * spacing tweak * migrator default to admin * escape quotes in migrator * ui tweaks * tweaks * colors * colors * fix merge conflict * fix icons * add api layer enforcement * ui tweaks * fix error message * debug * clean up * remove print * guard apis for admin only * fix tests * fix review tests * use correct error responses from api in toasts * add role to account menu |
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| frigate | ||
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| web | ||
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| audio-labelmap.txt | ||
| benchmark_motion.py | ||
| benchmark.py | ||
| CODEOWNERS | ||
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| labelmap.txt | ||
| LICENSE | ||
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| README.md | ||
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.