Perovskite Based Artificial Vision System for Geometric Shape Recognition

Abstract

The human visual system serves as an inspiration for an efficient image sensor for applications in robotics, sensing and computer vision. Inspired by the retina, we present a perovskite nanowire based artificial vision system for integrated sensing and data preprocessing. The sensor shows stable response to different learning and forgetting visual stimuli. We demonstrate the capabilities of the artificial vision system with a crossbar array and integration with perovskite-based memory for different shape recognition.