Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

Efficient Attendance Tracking Using AI-Based Face Recognition and Absence Alerts for Educational Institutes

Authors
R. Tamilkodi1, Subrahmanyam Vasamsetti2, S. Rajasekhar3, *, A. Kiran Kumar3, E. Durga Prasad3, S. Jagadeesh3
1Professor, Department of CSE (AIML & CS), Godavari Institute of Engineering & Technology, Rajahmundry, Andhra Pradesh, India
2Professor, Department of AME, Godavari Institute of Engineering & Technology, Rajahmundry, Andhra Pradesh, India
3Department of Computer Science & Engineering (AIML & CS), Godavari Institute of Engineering & Technology, Rajahmundry, Andhra Pradesh, India
*Corresponding author. Email: rajasekhar.ai03@gmail.com
Corresponding Author
S. Rajasekhar
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_99How to use a DOI?
Keywords
Face Attendance; Artificial Intelligence; MTCNN Algorithm; Attendance Management; Absence Notification; Facial Recognition; CCTV Camera; Face Net; Communication; Automated Attendance
Abstract

The integration of Artificial Intelligence (AI) has revolutionized attendance management systems, automating processes for efficiency. However, existing face recognition attendance systems are limited to determining presence or absence, leaving a research gap in providing real-time absence notifications to parents. This research aims to bridge this gap by implementing a Face Attendance System that enhances communication between institutions and parents through automated absence notifications. Leveraging the MTCNN algorithm for face detection and alignment, paired with CCTV cameras for efficient attendance capture, the system records student data and organizes it in Excel sheets, simplifying attendance management. The results showcase the system’s efficiency and reliability, automating attendance management while providing real-time absence notifications, promising improved parent-school interaction and communication. The Face Attendance System offers a progressive approach to attendance management, addressing the research gap, and streamlining processes with AI technology.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_99
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_99How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - R. Tamilkodi
AU  - Subrahmanyam Vasamsetti
AU  - S. Rajasekhar
AU  - A. Kiran Kumar
AU  - E. Durga Prasad
AU  - S. Jagadeesh
PY  - 2024
DA  - 2024/07/30
TI  - Efficient Attendance Tracking Using AI-Based Face Recognition and Absence Alerts for Educational Institutes
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1033
EP  - 1042
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_99
DO  - 10.2991/978-94-6463-471-6_99
ID  - Tamilkodi2024
ER  -