使用实时人脸识别和MySQL数据库的自动考勤系统

A. Admin, Vettri Chezhian. P, R. K, N. S
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引用次数: 0

摘要

本课题旨在设计一个使用人脸识别和MySQL数据库的自动考勤系统。我们提出了实现“使用实时人脸识别和MySQL数据库的自动考勤系统”的想法。该应用程序包括面部识别,这不仅节省了时间,而且完全基于软件,它可以被标记为环保,因为它减少了纸张的使用,并且每天结束时还会向学生发送出勤记录的信息。该系统还消除了假出勤的可能性,因为人脸被用作身份验证的生物特征。这个系统避免了在考勤起重要作用的地方出现假考勤的概念。本系统采用Python语言和SQL数据库进行设计。系统中使用的算法将捕获的图像编码值与我们已有的值进行比较,以识别人脸。系统以MYSQL数据库的形式输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Attendance System using Real Time Face Recognition and MySQL Database
This project aims to design a automated attendance system using face-recognition and MySQL database. We have presented our idea to implement an “Automated Attendance System Using Real Time Face recognition and MySQL Database”. The application includes face identification, which saves time as well as being purely software based it can be flagged as eco-friendly as it reduces the use of paper and also send a message to the student of his attendance record in the end of every day. This system also eliminates the chances of fake attendance because of the face being used as a biometric for authentication. This system avoids the concept of fake attendance where attendance plays an important role. The proposed system is designed in Python as well as SQL database. The algorithm used in the system compare the image captured encoded value with the value already available with us to recognize the face. The system has output in the form of MYSQL Database.
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