Switchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision

Abstract

Adaptive Machine Vision In article number 2000122, Jinjin Zhao, Guozhong Cao, and Gang Liu design a bioinspired smart machine vision system. Benefiting from the switchable photovoltaic characteristics of the perovskite-based sensor devices, high-fidelity adaptive image sensing and neuromorphic processing of the optical information is made possible with the sensory neural network, offering new and highly efficient computation paradigm for post-Moore era.