Class Attendance Management System using Facial Recognition

Clyde Gomes,Sagar Chanchal,Tanmay Desai,Dipti Jadhav,M.D Patil,V.A Vyawahare

doi:10.1051/itmconf/20203202001

Abstract

Attendance marking in a classroom during a lecture is not only a onerous task but also a time consuming one at that. Due to an unusually high number of students present during the lecture there will always be a probability of proxy attendance(s).Attendance marking with conventional methods has been an area of challenge. The growing need of efficient and automatic techniques of marking attendance is a growing challenge in the area of face recognition. In recent years, the problem of automatic attendance marking has been widely addressed through the use of standard biometrics like fingerprint and Radio frequency Identification tags etc., However,these techniques lack the element of reliability. In this proposed project an automated attendance marking and management system is proposed by making use of face detection and recognition algorithms. Instead of using the conventional methods, this proposed system aims to develop an automated system that records the student’s attendance by using facial recognition technology. The main objective of this work is to make the attendance marking and management system efficient, time saving, simple and easy. Here faces will be recognized using face recognition algorithms. The processed image will then be compared against the existing stored record and then attendance is marked in the database accordingly. Compared to existing system traditional attendance marking system, this system reduces the workload of people. This proposed system will be implemented with 4 phases such as Image Capturing, Segmentation of group image and Face Detection, Face comparison and Recognition, Updating of Attendance in database.

Highlights

At present facial recognition and image processing is a very interesting topic that has only had its surface scratched, facial recognition is quickly surpassing other forms of biometrics (Fingerprints, RFID etc) as facial recognition systems use a set of features distinct to one person
This proposed project can be applied to create an attendance system using facial recognition as the traditional method i.e., pen and paper is time consuming and burdensome it is prone to proxies and manipulation, our aim in developing this project is to make the attendance system efficient, stop methods and means of proxies and to save time that would otherwise be lost in the lecture
The original database containing the images of the students is created by taking a live real time video of the students, and splitting the video into thirty frames, converting them to gray scale and storing only the faces of the students as images, we will be training the respective images using the LBPH algorithm all the while storing their respective histogram value’s and comparing the stored and trained images against the captured images to mark the attendance

Summary

Introduction

At present facial recognition and image processing is a very interesting topic that has only had its surface scratched, facial recognition is quickly surpassing other forms of biometrics (Fingerprints, RFID etc) as facial recognition systems use a set of features distinct to one person This proposed project can be applied to create an attendance system using facial recognition as the traditional method i.e., pen and paper is time consuming and burdensome it is prone to proxies and manipulation, our aim in developing this project is to make the attendance system efficient, stop methods and means of proxies and to save time that would otherwise be lost in the lecture.

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Conclusion