Computer Vision based Attendance Management System for Students

Abstract

Abstract: The purpose of this project is to build an attendance management system based on facial recognition features. In most educational institutions, the attendance of the students is taken manually, using an attendance sheet, by the faculty member in a classroom. The objective of this project is to minimize the time consumed in the process of monitoring the attendance of the students and to tackle the problem of proxy by almost eliminating the use of paper in the attendance taking process. Manually recorded attendance can be easily tampered with and manipulated. It is also not very easy to verify manual attendance. So, we are proposing a method that can estimate the attendance more precisely using all the results of face recognition, which are obtained by continuous observation. In this system, the enrollment of students will be a one-time process, Students may have their roll number or phone number as their unique ID, which should be unique for every student. Their images will be stored in the database. The attendance of the students will be tracked automatically for every hour. This system will overcome the problems that exist in manual or traditional attendance management systems.