Title: Development Of An Esp32-Microcontroller-Based Biometric System For Classroom Management
Authors: Gabriel Ebiowei Moses, Ayibepreye B. Kelvin, David Ebregbe
Volume: 9
Issue: 10
Pages: 112-127
Publication Date: 2025/10/28
Abstract:
The increasing difficulty associated with the proper administration of examinations in tertiary institutions, identity theft, impersonation, falsification and manipulation of attendance records, absenteeism on the part of lecturers and students and several other related security issues plaguing our university communities is of grave concern. This paper presents the "Development of an ESP32-Microcontroller-Based Biometric System for Classroom Management". It proposes a novel attendance and classroom management system leveraging the ESP32 microcontroller and the unique biometrics of individuals. The ESP32 microcontroller, with its built-in Wi-Fi and Bluetooth capabilities, enables seamless connectivity and data transfer. The system consists of a fingerprint sensor, ESP32 board, and a web-based interface. Students' fingerprints are enrolled and stored in the database, allowing for secure and accurate identification. The web interface enables administrators to monitor attendance, lecturer's promptness/regularity in class, and track student activity. After rigorous tests, the results obtained show that: - Image acquisition time gives 0.5 seconds, - False Acceptance Rate (FAR) is 0.2%, etc. The system demonstrated high accuracy and efficiency, with rapid image acquisition and low error rates. The FAR and FRR results indicate a high level of security and reliability, ensuring that only registered students can access the classroom and that legitimate students are not denied access. This system offers numerous benefits, such as: Improved attendance accuracy and reduced fraud, Reduced administrative burdens and increased efficiency, and real-time insights into students and lecturers' attendance patterns. This paper provides a foundation for further research and development in this area, including the integration of additional functionalities such as multiple fingerprints and the exploration of other biometric modalities.