Frigate

Overall rating

7.7

Stars: 19160

Contributors: 246

Frigate is an advanced real-time video surveillance tool optimized for integrating with home assistant platforms. It focuses on utilizing machine learning for detecting and categorizing objects, thereby enhancing the accuracy and efficiency of security systems. Designed to be lightweight yet powerful, Frigate operates with minimal hardware requirements, making it accessible for a wide range of users.

Key Features:

  • 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
Activity

Last update: Nov 11, 2024

  • Commits (last week)

    0

  • Resolved issues (last week)

    47

  • Merged PRs (last week)

    26

Maturity

Last update: Nov 13, 2024

  • Age

    5 years 9 months

  • Stability

    ALPHA

Information

Funding

Has commercial version

Programming languages

Python
TypeScript
CSS

Tags

rtsp
realtime
tensorflow
google-coral
mqtt
nvr
camera
home-assistant
object-detection
ai
homeautomation
home-automation