We figured out a new way of doing image detection. In this way, we should be able to use the computational power of laptop to detect objects using trained machine learning algorithm.

Here is the overall flowchart:

We tested the RF communication part in the lab:

It works exceedingly better than the OpenMV cam in the lab.

Next step, we need to figure out the P2P wifi communication between the laptop and ESP32 feather board. I think what we used (WebSocketsServer) last time can be deployed here.

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