计算机科学
感知
计算机视觉
人工智能
集合(抽象数据类型)
对象(语法)
帧速率
模式(计算机接口)
人工神经网络
神经形态工程学
运动(物理)
视网膜
机器视觉
光电子学
帧(网络)
对偶(语法数字)
物理
GSM演进的增强数据速率
图像处理
视觉感受
运动估计
材料科学
光学
系统体系结构
光强度
像素
作者
Xuesen Xie,Shukai Duan,Yifei Yang,Y Y Wang,Jinchengyan Wang,Dengshun Gu,XiaoFang Hu,Lidan Wang,Ping Li,Bo Wu,Bai Sun,Guangdong Zhou
标识
DOI:10.1002/lpor.202502501
摘要
ABSTRACT Motion perception is increasingly crucial in diverse artificial intelligence scenarios, but it is largely limited by the dual operation mode (light set and electrical reset) and the physical separation architecture. We propose an all‐in‐one optoelectronic memory that can provide positive and negative photoresponse to in situ execute image preprocessing, enabling the high efficiency frame difference for multiple moving object perception. This positive and negative photoresponse heavily relies on the light intensity that can alter structure phase of the fibroin protein. The developed optoelectronic memory exhibits short‐ and long‐term synaptic plasticity under both positive and negative photoresponse, faithfully emulating human retina system to detect multiple motions in complex environment. Perception of the multi‐object motion in real world is demonstrated, showing an accuracy of 95% and over 30 fps real‐time processing speed. The all‐in‐one memory‐enabled artificial retina system lays a significant in‐sensor computing architecture for edge dynamic vision perception.
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