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We all know how much I love looking at Object Detection and Face Recognition videos, so here is another one! Today we are taking a look at the install and configuration of Frigate, which is a fully featured NVR for Home Assistant and other platforms, with built-in object detection using Tensorflow. It's highly configurable and in this video I will take you through most of the important features you will need in order to configure it, including Masks, Zones, Snapshots and Clips, Recordings and adding additional objects. We also run through how to integrate with Home Assistant.
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Supervisor add-on: https://github.com/blakeblackshear/frigate
Home Assistant Integration: https://github.com/blakeblackshear/frigate-hass-integration
Documentation: https://blakeblackshear.github.io/frigate/
Docker install (standalone): https://blakeblackshear.github.io/frigate/installation#docker
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0:00 - Intro
2:12 - Things you will need
4:49 - Frigate installation
6:48 - Initial basic Frigate configuration
12:02 - Frigate dashboard overview and tour
16:39 - Integrating Frigate with Home Assistant
20:10 - Adding more objects to track to Frigate
24:06 - Adding image snapshots, clips and recordings
31:33 - Media browser to view clips and recordings
32:58 - Adding privacy masks, zones and object masks
38:56 - Talk about notifications as well as other useful options for Frigate