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Enabling TinyML in embedded mmWave radar systems

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2021년 10월 13일

This demo showcases a compelling solution for developing Edge AI/TinyML (i.e. neural network-based) embedded solutions for TI mmWave radar sensing applications. At a high level, this shows an IWR6843-based hand gesture recognition solution using low-footprint/low-resource code generated by Imagimob Studio, which is a compelling and well-positioned tool for developing embedded solutions for the edge of the network.

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