Frigate is an open source NVR built around real-time AI object detection. All processing is performed locally on your own hardware, and your camera feeds never leave your home. Get access to custom models designed specifically for Frigate with Frigate+.
Frigate is a Docker container that can be run on any Docker host including as a HassOS Addon. Note that a Home Assistant Addon is not the same thing as the integration. The integration is required to integrate Frigate into Home Assistant.
Support open source Frigate; Create an account. With Frigate+, you get a model fine tuned to your cameras for improved accuracy in your specific conditions. You will be able to fine tune your model with the images you have uploaded and annotated up to 12 times with your annual subscription. Additional trainings can be purchased for $5 if needed.
Frigate. Introduction. On this page. Introduction. 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 strongly recommended. CPU detection should only be used for testing purposes.
Frigate provides the following builtin detector types: cpu, edgetpu, openvino, tensorrt, and rknn. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below.
This guide outlines the basic configuration steps needed to set up a reverse proxy in front of your Frigate instance. A reverse proxy is typically needed if you want to set up Frigate on a custom URL, on a subdomain, or on a host serving multiple sites.
Frigate Configuration. For Home Assistant Addon installations, the config file needs to be in the root of your Home Assistant config directory (same location as configuration.yaml). It can be named frigate.yaml or frigate.yml, but if both files exist frigate.yaml will be preferred and frigate.yml will be ignored.
Frigate works much better with newer reolink cameras that are setup with the below options: If available, recommended settings are: On, fluency first this sets the camera to CBR (constant bit rate)
Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. It will make use of the Jetson's hardware media engine when configured with the appropriate presets, and will make use of the Jetson's GPU and DLA for object detection when configured with the TensorRT detector.