| 摘 要: 目前高校普遍关注在校生上课出勤问题。在课堂出勤率统计中，经常会出现学生未到课堂却已经完成签到的情况，影响了出勤统计的准确性，做好学生课堂出勤管理迫在眉睫。本文主要针对人工智能(AI)人脸识别算法在签到系统中的技术进行设计。采用人脸识别的签到系统方便、准确、快捷，更能适应现代高效、精准的签到需求，更符合现代信息化教学管理的要求。 |
| 关键词: 签到系统；人脸识别；人工智能 |
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中图分类号: TP399
文献标识码: A
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| 基金项目: 2020年度河北省高等学校科学研究项目《基于NB-IoT的智慧校园楼宇环境监控系统研究与实现》研究成果(ZD20200316). |
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| Designs of Smart Classroom Sign-in System |
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CHEN Weihua, HE Caihong
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(Hebei Software Institute, Baoding 071000, China)
chenweihua@hbsi.edu.cn; hecaihong@hbsi.edu.cn
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| Abstract: At present, colleges and universities are concerned about students' attendance. In class attendance statistics, there are often situations in which students have not yet arrived in class but have already completed sign-in, which affects the accuracy of attendance statistics. Therefore, it is urgent to manage students' class attendance effectively. Sign-in system with face recognition technology is convenient, accurate, and fast. This paper proposes to design a sign-in system based on artificial intelligence (AI) face recognition algorithm. The proposed system can better meet the needs of highly efficient and precise sign-in, and the needs of modern information teaching management. |
| Keywords: sign-in system; face recognition; artificial intelligence |
