Virtual Logger: A Cognitive Framework for Proxy-Proof Attendance Automation and Intelligent Presence Logging
Year: 2026
Type: article
Abstract: Attendance management is an essential activity in educational and other environments. Conventional attendance management systems using manual attendance sheets, RFID cards, or even biometric methods like fingerprints face problems of accuracy, proxy attendance, hygiene issues, and higher maintenance costs. To overcome these problems, this paper proposes an intelligent attendance management system using virtual loggers with face recognition technology. In this paper, we propose an attendance management system using face recognition technology with the help of YOLOv8 face detection and FaceNet face recognition. The system is implemented using a Flask-based web server with a React-based web interface. SQLite is used to store attendance data. One of the major advantages of this system is that it includes an automated parent notification system. Parents would be immediately notified of their child’s attendance or absence. In this paper, we have also compared the accuracy of our system with other conventional attendance management systems. From the results, it is clear that our system is more accurate and scalable compared to other attendance management systems. It is also immune to proxy attendance. Hence, this system is very efficient and reliable
Author: M. Pallavi
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7140191609