Using vision as a sensor to monitor the state of legacy, non-connected devices and integrating them into my smart home.
Part 2 is out!
• Adding dumb devices to your smart home - P...
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or clone from https://github.com/open-edge-platform...
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I've been dabbling in home automation for a few years, using the fairly common MING stack (MQTT, influxdB, node-red, Grafana), I've also built a few custom ESP based sensors.
I'm now exploring using computer vision as a sensor to monitor things that aren't connected or 'smart' enabled yet.
I've trained an object detection model to watch my CCTV IP cameras, it finds the locks on my back door and uses a second model to classify the state. I then do the usual publish the results over mqtt... the rest is history after that, getting fed into the MING stack.
Chapters:
00:00 Intro
00:13 Capture data
00:53 Train the models
02:44 Deploy models with python
04:02 Monitor with MQTT
05:10 Grafana
07:40 The Result