Open AccessSwitchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision
Author(s) -
Chen Qilai,
Zhang Ying,
Liu Shuzhi,
Han Tingting,
Chen Xinhui,
Xu Yanqing,
Meng Ziqi,
Zhang Guanglei,
Zheng Xuejun,
Zhao Jinjin,
Cao Guozhong,
Liu Gang
Publication year - 2020
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202070092
Subject(s) - neuromorphic engineering , photovoltaic system , machine vision , fidelity , computer science , computation , perovskite (structure) , artificial intelligence , artificial neural network , computer vision , engineering , electrical engineering , telecommunications , chemical engineering , algorithm
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.