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Reseach Article

Development of Students’ Attendance Management System using Facial Recognition

by Owoeye Samuel, Folasade Durodola, Adefolahan Akinsola, Bisiriyu Babatunde, Opeyemi Adewale
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 42
Year of Publication: 2024
Authors: Owoeye Samuel, Folasade Durodola, Adefolahan Akinsola, Bisiriyu Babatunde, Opeyemi Adewale
10.5120/ijca2024924059

Owoeye Samuel, Folasade Durodola, Adefolahan Akinsola, Bisiriyu Babatunde, Opeyemi Adewale . Development of Students’ Attendance Management System using Facial Recognition. International Journal of Computer Applications. 186, 42 ( Sep 2024), 54-59. DOI=10.5120/ijca2024924059

@article{ 10.5120/ijca2024924059,
author = { Owoeye Samuel, Folasade Durodola, Adefolahan Akinsola, Bisiriyu Babatunde, Opeyemi Adewale },
title = { Development of Students’ Attendance Management System using Facial Recognition },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2024 },
volume = { 186 },
number = { 42 },
month = { Sep },
year = { 2024 },
issn = { 0975-8887 },
pages = { 54-59 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number42/development-of-students-attendance-management-system-using-facial-recognition/ },
doi = { 10.5120/ijca2024924059 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-09-30T23:43:09+05:30
%A Owoeye Samuel
%A Folasade Durodola
%A Adefolahan Akinsola
%A Bisiriyu Babatunde
%A Opeyemi Adewale
%T Development of Students’ Attendance Management System using Facial Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 42
%P 54-59
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Attendance management systems are employed in various organizations, ranging from schools to determine the number of students in a class, hospitals to determine the number of patients in a ward, and companies to keep track of the number of workers present. The issue of attendance management is most prevalent in schools; hence, this paper describes a student attendance management system using facial recognition software. A Raspberry Pi 4 microprocessor was integrated alongside a camera and proximity sensor for object and image tracking to achieve this goal. The system has a database written in MySQL programming language that records and stores the facial structure of each student taken with the camera. Other programming languages used in the development of this system are Python, PHP and JavaScript. A web interface using HTML and CSS was also designed to facilitate easy interaction with the system. To test the system, a total of 990 images were used to train the neural network, and then another 410 images were used to check whether the neural network meets the proposed objectives.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MySQL Raspberry Pi microprocessor PHP JavaScript Neural Network