Nessuna descrizione

Blake Blackshear 27b659dde1 tweaking the docs 4 anni fa
.github 6790467bbc docs: move docs to docusaurus 4 anni fa
docker 144aff9b4e pin numpy 4 anni fa
docs 27b659dde1 tweaking the docs 4 anni fa
frigate 630c2ee6f6 use sqlitequeuedb 4 anni fa
migrations c770470b58 add database migrations 4 anni fa
nginx 507ec13848 first pass at subfilter for ingress support 4 anni fa
web 600477c487 Update documentation link in sidebar to new docs 4 anni fa
.dockerignore e8009c2d26 adding version endpoint 4 anni fa
.gitignore c618867941 feat!: web user interface 4 anni fa
LICENSE 53ccc903da switch to MIT license 4 anni fa
Makefile ea53068432 update wheels version 4 anni fa
README.md 27b659dde1 tweaking the docs 4 anni fa
benchmark.py f946813ccb support multiple coral devices (fixes #100) 4 anni fa
labelmap.txt acb75fa02d refactor and reduce false positives 4 anni fa
run.sh 7aecf6c6de fix graceful exits 4 anni fa

README.md

logo

Frigate - NVR With Realtime Object Detection for IP Cameras

A complete and local NVR designed for HomeAssistant 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 HomeAssistant 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 clips of 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

Screenshots

Integration into HomeAssistant

Also comes with a builtin UI:

Events