AI at the Edge - Enabling Vision for Low-Power Devices

This talk explains why AI moves to edge devices and how to develop, test, and deploy computer vision models for low-power, battery-operated hardware. It covers data collection, the training-to-deployment pipeline, hardware and software considerations, and model-size reduction through quantization and pruning.