Machine Learning

Custom integration to use Lobe with cameras in Home Assistant

Lobe

This is a Home Assistant custom component for Lobe. Lobe is an AI tool that can classify images. This component lets you easily use an exported model along with another server to classify a camera entity’s feed with it.

Installation

Use HACS for the integration. You’ll also need a seperate server. Steps to install on another server:

  • Install the Lobe library.
  • Install Flask.
  • Export a Tensorflow Lite model into a folder on the server.
  • Copy over app.py and change the folder location.
  • Run app.py.
  • You’ll probably want to make it run on start.

Configuration

This is the configuration format:

image_processing:

  - platform: lobe

    entity_id: camera.front_door_livestream # Camera entity ID

    name: "Front Door Status" # Optional; Custom name

    server: "http://lobeserver.local:5623"


 


 




 


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