互联网+面部识别技术在大学生寝室管理中的应用研究
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摘要
目前高校的学生规模越来越大,学生管理工作日益繁重。该应用结合互联网+人脸识别技术,设计一套适于学生身份认定的系统,有助于学生寝室管理。系统重要分为人脸图形采集终端、人脸识别和数据管理服务器,以及Android手机终端三个模块。学生通过人脸采集终端考勤,服务器实现学生身份识别,管理者通过手机终端查看考勤结果。该应用操作方便,正确率高,能有效避免代签等行为,有效提高学生的管理工作效率和质量。
The scale of students in Colleges and universities is becoming larger and larger, and the management of students is becoming more and more heavy. The application designed by Internet plus face recognition technology to identify student, does a help on student dormitory management. The system is divided into three modules, which are face graphic acquisition terminal, face recognition and data management server, and Android mobile terminal. Students check the attendance through the face collection terminal, the server realizes the identification of the students, and the manager checks the results of the attendance through the terminal of the mobile phone. The application of the application is convenient, the correct rate is high, it can effectively avoid the act of signing and so on, and effectively improve the efficiency and quality of the students' management work.
The scale of students in Colleges and universities is becoming larger and larger, and the management of students is becoming more and more heavy. The application designed by Internet plus face recognition technology to identify student, does a help on student dormitory management. The system is divided into three modules, which are face graphic acquisition terminal, face recognition and data management server, and Android mobile terminal. Students check the attendance through the face collection terminal, the server realizes the identification of the students, and the manager checks the results of the attendance through the terminal of the mobile phone. The application of the application is convenient, the correct rate is high, it can effectively avoid the act of signing and so on, and effectively improve the efficiency and quality of the students' management work.
引文
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[2]白文庆,董小妮.基于嵌入式人脸识别考勤系统的设计[J].企业技术开发,2015(1):18-20.
[3]王静.基于人脸识别的图像考勤系统设计与实现[J].无线互联科技,2015(5):98-100.
[4]苏草,林亚明.基于人脸识别的移动终端课堂考勤系统[J].计算机与现代化,2014(8):85-89.
[5]王守佳.基于人脸识别技术的学生考勤系统[J].大庆师范学院学报,2014(5):65-69.
[6]李翔,张义红.基于人脸识别的实验室监控系统设计[J].工业控制计算机,2018(2):48-49.
[7]王善涛.人脸识别技术在安防行业的具体应用[J].中国安防,2018(1):79-81.
[8]徐冬阳.人脸检测与识别技术的发展及应用[J].电子世界,2018(1):193-194.