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NVR with realtime local object detection for IP cameras
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dependabot[bot] 55b2e30cec
Update markupsafe requirement from ==2.1.* to ==3.0.* in /docker/main 
Updates the requirements on [markupsafe](https://github.com/pallets/markupsafe) to permit the latest version.
- [Release notes](https://github.com/pallets/markupsafe/releases)
- [Changelog](https://github.com/pallets/markupsafe/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/markupsafe/compare/2.1.0...3.0.0)

---
updated-dependencies:
- dependency-name: markupsafe
  dependency-type: direct:production
...

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2024-10-08 11:30:16 +00:00
.cspell Work through most of the cspell warnings in python (#13794) 2024-09-17 10:41:46 -05:00
.devcontainer Removed usage of PyYAML for config parsing. (#13883) 2024-09-22 10:56:57 -05:00
.github Bump docker/login-action from 3.2.0 to 3.3.0 (#12555) 2024-10-01 06:03:55 -06:00
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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