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作 者:Yi WU Wenjie DENG Xiaoqing CHEN Jingjie LI Songyu LI Yongzhe ZHANG
机构地区:[1]Faculty of Materials and Manufacturing,Beijing University of Technology,Beijing,100124,China [2]Key Laboratory of Optoelectronics Technology of Education Ministry of China,Faculty of Information Technology,Beijing University of Technology,Beijing,100124,China [3]School of Physics,Beihang University,Beijing,100191,China
出 处:《Science China(Information Sciences)》2023年第6期238-245,共8页中国科学(信息科学)(英文版)
基 金:supported by Beijing Natural Science Foundation (Grant Nos.JQ20027,4222065);National Natural Science Foundation of China (Grant No.61922005);NSAF Joint Fund (Grant No.U1930105);National Key Research and Development Program of China (Grant No.2021YFA0715602)。
摘 要:Efficient motion detection is essential for the Internet of Things.However,it suffers from overloading redundant static background information.Inspired by the human visual system,which is efficient in motion detection,we propose a silicon-based retinomorphic photodetector with a simple metal/insulator/semiconductor(MIS)structure,which is compatible with the complementary metal-oxide-semiconductor(CMOS)industry.In contrast to conventional photodetectors that generate a sustained photocurrent,our retinomorphic photodetector is sensitive only to the change in light intensity and therefore filters the redundant static background.In addition,it shows logarithmic dependence on the light intensity,which simplifies the contrast ratio measurement.Based on our moving object recognition experiment,after filtering background information,the information to be analyzed is reduced to 27.3%,thereby improving the image recognition efficiency in the subsequent processing tasks.This innovative and industry-compatible retinomorphic photodetector will facilitate the construction of future efficient motion detection systems.
关 键 词:RETINA PHOTODETECTOR motion detection BIO-INSPIRED in-sensor computing
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] TN15[自动化与计算机技术—计算机科学与技术] R318[电子电信—物理电子学]
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