In-sensor convolution processing with a bipolar p-n heterojunction  

用双极性p-n异质结器件进行传感器内卷积处理

作　　者：Mingqiang Liu Gui-Gen Wang Zheng Liu 刘明强;汪桂根;刘政(Shenzhen Key Laboratory for Advanced Materials,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China;School of Materials Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore)

机构地区：[1]Shenzhen Key Laboratory for Advanced Materials,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China [2]School of Materials Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore

出　　处：《Science Bulletin》2022年第15期1519-1521,共3页科学通报（英文版）

基　　金：supported by the National Key Laboratory of Science and Technology on Advanced Composites in Special Environments(6142905192507);Shenzhen Science and Technology Plan Supported Project(GXWD20201230155427003-20200821232246001 and JCYJ20170413105844696);China Scholarship Council;financial support from the Singapore National Research Foundation Competitive Research Program(NRF-CRP22-2019-0007)。

摘　　要：Image sensing is a critical component of modern machine vision technology development.The traditional silicon-based photodiodes possess inflexible responsivity and energy band structures that are hard to manipulate by an external field,limiting the system’s ability to process picture data[1].Additionally,existing memristor arrays can do some computation in hardware but cannot directly respond to optical signals,so it is necessary to use additional image sensors to convert optical signals into electrical signals before implementing further signal processing.As a result of their separate data processing units and image sensors,conventional image sensing systems face problems such as slow operation and excessive power consumption that can result in transmitting and processing huge amounts of duplicate information[2,3].

关 键 词：双极性 IMAGE HARDWARE 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TP391.41[自动化与计算机技术—控制科学与工程]