Development and Implementation of an IOT-Enabled Biometric System for Automated Examination Management

Abstract

The need to meet the ever-increasing requirements of safe, transparent, and automated examination centres in educational institutions has led to the development of intelligent systems that can help in their enhancement. This project presents the development and implementation of an IoT-based biometric authentication system using fingerprint recognition and ESP32 microcontroller architecture to manage the examination centres in real-time. There was the integration of a low-cost fingerprint module, Organic Light Emitting Diode (OLED), LED, buzzer, and web interface to provide dynamic feedback to the users and automate the record-keeping process. The system has been tested under diverse conditions such as dry, wet, oily, and partial fingerprints and has achieved an average recognition accuracy of 95.7% with an average response time of 1.5 secs. Conducting comparative analyses with existing models showed the superiority of this model in terms of speed, data integrity, and accessibility within the context of the semi-urban academic environment. Conclusively, the study established the viability and efficacy of the proposed model in developing a scalable and cost-effective solution to integrate biometric and IoT technologies to improve digital examination security