人脸识别自动考勤系统的算法分析:未来教育的革命性方法

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rohit Rastogi, Abhinav Tyagi, Himanshu Upadhyay, Devendra Singh
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引用次数: 0

摘要

如果手工管理考勤,对老师来说会成为一项繁琐的任务。这个问题可以通过一个自动考勤管理系统来解决。但验证是该系统的主要问题之一。智能自动考勤系统一般采用生物识别技术。利用人脸识别技术进行考勤管理是目前效率较高的一种生物识别方法。智能考勤与即时面部识别的帮助是一个现实生活中的解决方案,有助于处理日常生活活动和维护学生考勤系统。基于人脸识别的考勤系统采用基于高分辨率监控视频的人脸生物识别等技术对学生进行人脸识别。在项目中,该系统将能够通过监控摄像头拍摄的图像或视频,快速准确地找到并识别人脸。它会将视频的帧转换为图像,以便我们的系统可以轻松地在考勤数据库中搜索该图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithmic Analysis of Automatic Attendance System Using Facial Recognition: A Revolutionary Approach for Future Education
Attendance management can become a tedious task for teachers if it is performed manually.. This problem can be solved with the help of an automatic attendance management system. But validation is one of the main issues in the system. Generally, biometrics are used in the smart automatic attendance system. Managing attendance with the help of face recognition is one of the biometric methods with better efficiency as compared to others. Smart Attendance with the help of instant face recognition is a real-life solution that helps in handling daily life activities and maintaining a student attendance system. Face recognition-based attendance system uses face biometrics which is based on high resolution monitor video and other technologies to recognize the face of the student. In project, the system will be able to find and recognize human faces fast and accurately with the help of images or videos that will be captured through a surveillance camera. It will convert the frames of the video into images so that our system can easily search that image in the attendance database.
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来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
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