بدون توضیح

Blake Blackshear 0f5dfea9de add support for rockchip hwaccel 3 سال پیش
.devcontainer b91b0d39dd updated devcontainer 3 سال پیش
.github bddde74c06 Update issue templates 3 سال پیش
docker 0f5dfea9de add support for rockchip hwaccel 3 سال پیش
docs e6cdb6a7a2 install docs clarification 3 سال پیش
frigate 1d25936f31 add region/bbox/area to event table 3 سال پیش
migrations 1d25936f31 add region/bbox/area to event table 3 سال پیش
web 1d25936f31 add region/bbox/area to event table 3 سال پیش
.dockerignore dada764d2c expand dockerignore 3 سال پیش
.gitignore 84a0827aee Use dataclasses for config handling 4 سال پیش
.pylintrc 040ffda687 use fstr log style 4 سال پیش
LICENSE 53ccc903da switch to MIT license 4 سال پیش
Makefile 0f5dfea9de add support for rockchip hwaccel 3 سال پیش
README.md 45798d6d14 clean house on clips 3 سال پیش
benchmark.py f946813ccb support multiple coral devices (fixes #100) 4 سال پیش
docker-compose.yml c70419bd0b update birdseye layout calculations 3 سال پیش
labelmap.txt acb75fa02d refactor and reduce false positives 4 سال پیش

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 RTMP to reduce the number of connections to your camera

Documentation

View the documentation at https://blakeblackshear.github.io/frigate

Donations

If you would like to make a donation to support development, please use Github Sponsors.

Screenshots

Integration into Home Assistant

Also comes with a builtin UI:

Events