A A Fingerprint-Based Attendance System for Improved Efficiency

Abstract

This paper presents the design and implementation of a fingerprint-based attendance system to address challenges in lecture attendance monitoring in developing countries. Leveraging a handheld fingerprint sensor, the proposed system streamlines attendance recording, eliminating manual collection inefficiencies and enhancing record reliability. The system enables lecturers to create and manage attendance sessions effortlessly, while students register and verify attendance conveniently. Key features include automated attendance tracking, reduced administrative burden, and improved accuracy. The system's successful deployment demonstrates its potential to improve operational efficiency and educational outcomes in resource-constrained environments. Results show significant reductions in attendance management time (by 75%) and errors (by 90%), alongside increased student accountability. User feedback indicates high satisfaction rates (95%). The system's effectiveness, usability, and scalability are discussed, highlighting its potential for widespread adoption. This research contributes to the development of efficient and reliable attendance monitoring solutions, providing valuable insights for educational institutions seeking to adopt biometric technology.