Fast optical-writing recognition based on two-dimensional photothermoelectric effect assisted with deep learning

作     者：Yujia Zhong Haoyu Fang Yutong Ran Hongwei Zhu 

作者机构：State Key Lab of New Ceramics and Fine ProcessingSchool of Materials Science and EngineeringTsinghua UniversityBeijingthe People's Republic of China Department of Electrical and Computer EngineeringNew York UniversityNew YorkNew YorkUSA 

出 版 物：《InfoMat》 (信息材料（英文）)

年 卷 期：2023年第5卷第3期

页      面：33-44页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Basic Science Center Project of NSFC(51788104) the National Natural Science Foundation of China(52172046) 

主　　题：deep neural network optical writing photothermoelectric effect tin selenide 

摘      要：The photothermoelectric(PTE)effect enables a simple structure to construct a noncontact and self-powered writing *** detectors based on active materials and one-dimensional(1D)position-sensitive PTE effect have attracted considerable ***,there is no research on applying the 1D position-sensitive PTE effect to a two-dimensional(2D)***,flexible writing devices based on the PTE effect have not been ***,we demonstrate a self-powered flexible optical writing device based on the 2D position-sensitive PTE effect of SnSe thin *** positioning,tracking,and distinguishing of optically written characters have been realized by only measuring the bi-directional output voltages during the writing process.A deep convolutional neural network has been introduced to recognize optically written numbers and characters with high recognition accuracy(92%)and fast processing speed(8.6 ms).The flexible optical-writing device with a simple structure could rapidly and accurately recognize characters in a noncontact fashion using a small amount of training data.