Frigate NVR 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+
Models | Frigate Frigate+ offers models trained on images submitted by Frigate+ users from their security cameras and is specifically designed for the way Frigate NVR analyzes video footage These models offer higher accuracy with less resources
Introduction | Frigate 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
Installation | 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
Recommended hardware | Frigate 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
Generative AI | Frigate Generative AI can be used to automatically generate descriptive text based on the thumbnails of your tracked objects This helps with Semantic Search in Frigate to provide more context about your tracked objects Descriptions are accessed via the Explore view in the Frigate UI by clicking on a tracked object's thumbnail
Filters | Frigate In frame 2, the score is below the min_score value, so Frigate ignores it and it becomes a 0 0 The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the threshold is the object marked as a true positive
Frigate+ Frigate now supports facial and license plate recognition in version 0 16 (currently in beta) Frigate+ models make facial and license plate recognition more efficient by detecting the location of faces and license plates at the same time as other objects
Getting started | Frigate Frigate will create a config file if one does not exist on the initial startup The following directory structure is the bare minimum to get started Once Frigate is running, you can use the built-in config editor which supports config validation