Face-recognition based attendance authentication system

Attendance in a classroom lecture can be monitored as a means of tracking student participation. However, the current method of recording attendance using paper-based systems and QR code scanners has proven to be unstable, inefficient, and time-consuming, especially in large classrooms. Differentiat...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd. Azli, Amirul Mukhlis, Mammi, Hazinah Kutty, Mat Din, Mazura, Abdul-Samad, Adlina
Format: Conference or Workshop Item
Published: 2023
Subjects:
Online Access:http://eprints.utm.my/107694/
http://dx.doi.org/10.1109/ICoDSA58501.2023.10276698
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.107694
record_format eprints
spelling my.utm.1076942024-10-02T06:26:52Z http://eprints.utm.my/107694/ Face-recognition based attendance authentication system Mohd. Azli, Amirul Mukhlis Mammi, Hazinah Kutty Mat Din, Mazura Abdul-Samad, Adlina QA75 Electronic computers. Computer science Attendance in a classroom lecture can be monitored as a means of tracking student participation. However, the current method of recording attendance using paper-based systems and QR code scanners has proven to be unstable, inefficient, and time-consuming, especially in large classrooms. Differentiating between absentees and proxy attendees becomes challenging with the traditional approach. To address these issues, a web-based attendance system with facial recognition capabilities has been developed. This system integrates an existing web camera with a facial recognition system, enabling automatic and efficient attendance tracking with minimal setup requirements. Through this web application, lecturers have the option to reject student attendance if they violate rules and regulations, and they can also generate attendance reports. Similarly, students can view their attendance percentage for each registered course. Additionally, this research proposes the integration of smart contract-based blockchain technology into the system. In conclusion, this system aims to assist lecturers in monitoring student attendance by utilizing facial recognition technology with an accuracy rate of 98%, while the proposed smart contract ensures secure and efficient management of attendance records. 2023 Conference or Workshop Item PeerReviewed Mohd. Azli, Amirul Mukhlis and Mammi, Hazinah Kutty and Mat Din, Mazura and Abdul-Samad, Adlina (2023) Face-recognition based attendance authentication system. In: 2023 International Conference on Data Science and Its Applications (ICoDSA), 9 August 2023-10 August 2023, Bandung, Indonesia. http://dx.doi.org/10.1109/ICoDSA58501.2023.10276698
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd. Azli, Amirul Mukhlis
Mammi, Hazinah Kutty
Mat Din, Mazura
Abdul-Samad, Adlina
Face-recognition based attendance authentication system
description Attendance in a classroom lecture can be monitored as a means of tracking student participation. However, the current method of recording attendance using paper-based systems and QR code scanners has proven to be unstable, inefficient, and time-consuming, especially in large classrooms. Differentiating between absentees and proxy attendees becomes challenging with the traditional approach. To address these issues, a web-based attendance system with facial recognition capabilities has been developed. This system integrates an existing web camera with a facial recognition system, enabling automatic and efficient attendance tracking with minimal setup requirements. Through this web application, lecturers have the option to reject student attendance if they violate rules and regulations, and they can also generate attendance reports. Similarly, students can view their attendance percentage for each registered course. Additionally, this research proposes the integration of smart contract-based blockchain technology into the system. In conclusion, this system aims to assist lecturers in monitoring student attendance by utilizing facial recognition technology with an accuracy rate of 98%, while the proposed smart contract ensures secure and efficient management of attendance records.
format Conference or Workshop Item
author Mohd. Azli, Amirul Mukhlis
Mammi, Hazinah Kutty
Mat Din, Mazura
Abdul-Samad, Adlina
author_facet Mohd. Azli, Amirul Mukhlis
Mammi, Hazinah Kutty
Mat Din, Mazura
Abdul-Samad, Adlina
author_sort Mohd. Azli, Amirul Mukhlis
title Face-recognition based attendance authentication system
title_short Face-recognition based attendance authentication system
title_full Face-recognition based attendance authentication system
title_fullStr Face-recognition based attendance authentication system
title_full_unstemmed Face-recognition based attendance authentication system
title_sort face-recognition based attendance authentication system
publishDate 2023
url http://eprints.utm.my/107694/
http://dx.doi.org/10.1109/ICoDSA58501.2023.10276698
_version_ 1814043508359561216
score 13.209306