IOT-Based Real-Time Security And Malfunction Detection In Electronic Voting Machines

Abstract

This project presents the development of a biometric-enabled smart voting and monitoring system designed to provide a secure, reliable, and user-friendly election process. The system is controlled by an Arduino UNO, interfaced with an RFID reader, R305 fingerprint sensor, user keypad, and ESP32-CAM module, offering multiple layers of authentication and real-time monitoring. A DC power supply ensures uninterrupted operation. Unlike traditional ballot papers or standard EVMs, the system allows voters to cast their votes via a touch panel interface with biometric verification, effectively preventing proxy voting and unauthorized access. Biometric information is cross-checked with the Aadhaar database, enabling eligible voters to vote from their current location without needing to travel to their native constituency. The system also includes robust data security measures, and election results can be published immediately. By combining IoT, biometrics, and smart authentication, this approach offers a time-efficient, cost-effective, and highly secure alternative to conventional voting methods, enhancing voter participation and reinforcing the democratic process.