Efficient Attendance Tracking Using AI-Based Face Recognition and Absence Alerts for Educational Institutes
R. Tamilkodi, Subrahmanyam Vasamsetti, S. Rajasekhar, A. Kiran Kumar, E. Durga Prasad, S. Jagadeesh · Advances in computer science research · 2024
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.