Switchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision
Qi Chen, Ying Zhang, Shuzhi Liu, Tingting Han, Xinhui Chen, Yanqing Xu, Ziqi Meng, Guanglei Zhang, Xuejun Zheng, Jinjin Zhao, Guozhong Cao, Gang Liu
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.
Topics & Concepts
Neuromorphic engineeringPhotovoltaic systemMachine visionFidelityComputer scienceComputationPerovskite (structure)Artificial intelligenceArtificial neural networkComputer visionEngineeringElectrical engineeringTelecommunicationsChemical engineeringAlgorithmCCD and CMOS Imaging Sensors