“Embedded Object Recognition”

A Low-Memory Compressive Image Sensor Architecture for Embedded Object Recognition

Abstract: This work presents a compact image sensor architecture with end-of-column digital processing dedicated to perform embedded object recognition. The architecture takes advantage of a Compressed Sensing (CS) scheme to extract compressed features and to reduce data dimensionality based on a low footprint pseudo random data mixing.