STUDENT ATTENDANCE SYSTEM BASED ON THE FACE RECOGNITION

H. Agarwal, Govinda Verma, Lakshya Gupta
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引用次数: 1

Abstract

Attendance system is very important in schools and colleges' The student attendance program has many problems such as it may not be accurate and critical to maintain. Therefore, an existing system that uses a face recognition system increases accuracy and also requires less time than other methods. There are many systems available such as face recognition using IoT, PIR sensors and so on. With face recognition, hardware devices are helpful. But the challenge is to keep all the nerves properly without getting hurt. After learning all the techniques and techniques we try to use the system with Haar Cascade Algorithm with the highest accuracy among them all. It can take pictures from 50- 70cm. We create a graphical interface that takes pictures, builds a database and trains the database with a single click. After seeing the face it will show the student's name and roll number. That information is stored on an automatic attendance sheet by time and date.
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基于人脸识别的学生考勤系统
考勤系统在学校和高校中是非常重要的,学生考勤系统存在许多问题,比如它可能不准确,维护起来很关键。因此,使用人脸识别系统的现有系统提高了准确性,并且比其他方法需要更少的时间。有许多可用的系统,如使用物联网的人脸识别,PIR传感器等。对于面部识别,硬件设备是有帮助的。但挑战是保持所有的神经正常而不受伤。在学习了所有的技术和技巧之后,我们尝试使用Haar级联算法的系统,其中精度最高。它可以拍摄50- 70厘米的照片。我们创建了一个图形界面,用于拍照、建立数据库和训练数据库,只需点击一下。看完脸后会显示学生的名字和学籍号。该信息按时间和日期存储在自动考勤表中。
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