Attendance System Based on Stm32 in College Classroom

Wenxuan Zhao, Yichao Zhao, Chulei Zhu
{"title":"Attendance System Based on Stm32 in College Classroom","authors":"Wenxuan Zhao, Yichao Zhao, Chulei Zhu","doi":"10.1109/ICSGEA.2019.00128","DOIUrl":null,"url":null,"abstract":"According to the requirements of university classroom teaching, an automatic attendance device is designed, which has the functions of fingerprint recognition and face recognition. STM32 is the core of the system, using WIFI module, fingerprint module, GSM module and face recognition technology based on PCA algorithm to achieve identity recognition, to meet the needs of attendance in University Classrooms.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

According to the requirements of university classroom teaching, an automatic attendance device is designed, which has the functions of fingerprint recognition and face recognition. STM32 is the core of the system, using WIFI module, fingerprint module, GSM module and face recognition technology based on PCA algorithm to achieve identity recognition, to meet the needs of attendance in University Classrooms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Stm32的高校课堂考勤系统
根据高校课堂教学的要求,设计了一种具有指纹识别和人脸识别功能的自动考勤装置。本系统以STM32为核心,采用WIFI模块、指纹模块、GSM模块和基于PCA算法的人脸识别技术实现身份识别,满足高校课堂考勤的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Summary of Studies on Bilingual Comparable Corpus Research and Application of Verification Error Data Processing of Electricity Meter Based on Grubbs Criterion Exploration of Clipped Barrier Silicon Carbide Schottky Diode Human Face Expression Recognition Based on Deep Learning-Deep Convolutional Neural Network Technical Research on High Power Silicon Carbide Schottky Barrier Diode
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1