The week's pick
Reseach Article
Development of Students’ Attendance Management System using Facial Recognition
| 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
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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