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