frigate vs represents a topic that has garnered significant attention and interest. 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. Introduction | Frigate. It's important to note that, frigate Introduction Recommended hardware Planning a New Installation Installation Updating Camera setup Video pipeline Glossary Guides Getting started Configuring go2rtc Home Assistant notifications Home Assistant network storage Setting up a reverse proxy Similarly, installation | Frigate.
If you already have Frigate installed as a Home Assistant Add-on, check out the getting started guide to configure Frigate. Recommended hardware | Frigate. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically.
Home Assistant Integration | Frigate. This is potentially useful when Frigate is behind a reverse proxy, and/or when the default stream port is otherwise not accessible to Home Assistant (e.g. Getting started | Frigate. This perspective suggests that, in order to review activity in the Frigate UI, recordings need to be enabled.
To enable recording video, add the record role to a stream and enable it in the config. Frigate now supports facial and license plate recognition in version 0.16 (currently in beta). Furthermore, 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.
Frigate Configuration. It is recommended to start with a minimal configuration and add to it as described in this guide and use the built in configuration editor in Frigate's UI which supports validation. Face Recognition | Frigate. When Frigate detects and attempts to recognize a face, it will appear in the Train tab of the Face Library, along with its associated recognition confidence. From the Train tab, you can assign the face to a new or existing person to improve recognition accuracy for the future. Camera Specific Configurations | Frigate.
If using Frigate in a container (e.g. Docker on TrueNAS), ensure you have USB Passthrough support enabled, along with a specific Host Device (/dev/video0) + Container Device (/dev/video0) listed.
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