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NVR with realtime local object detection for IP cameras
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dependabot[bot] 617018c52f
Bump react-day-picker from 8.10.1 to 9.3.0 in /web 
Bumps [react-day-picker](https://github.com/gpbl/react-day-picker) from 8.10.1 to 9.3.0.
- [Release notes](https://github.com/gpbl/react-day-picker/releases)
- [Changelog](https://github.com/gpbl/react-day-picker/blob/main/CHANGELOG.md)
- [Commits](https://github.com/gpbl/react-day-picker/compare/v8.10.1...v9.3.0)

---
updated-dependencies:
- dependency-name: react-day-picker
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2024-11-05 11:14:06 +00:00
.cspell Add service manager infrastructure (#14150) 2024-10-21 10:00:38 -05:00
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.github Add docs update to type of change (#14686) 2024-10-30 06:30:00 -06:00
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frigate Various fixes (#14786) 2024-11-04 07:07:57 -07:00
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CODEOWNERS Initial support for Hailo-8L (#12431) 2024-08-29 20:19:50 -06:00
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pyproject.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
README.md update images in readme 2024-06-08 15:37:16 -05:00

README.md

logo

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.

Screenshots

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Multi-camera scrubbing