Facial Recognition Authentication in Electoral Processes using Raspberry Pi

This paper presents a low-cost, efficient, and secure voter authentication system utilizing facial recognition technology, implemented using a Raspberry Pi. The system is equipped with a single camera for capturing voter images, three switches representing three political parties, and a buzzer to alert potential fraud. During the voting process, the system captures the voter's facial image and compares it against a pre-registered database to authenticate identity. If the voter is authenticated and has not voted previously, they can cast their vote by pressing the switch corresponding to their chosen party. If the system detects a duplicate attempt by the same voter, the buzzer is activated, signaling a violation. The lightweight and portable design, combined with reliable face recognition and real-time feedback, ensures secure voting while preventing double voting. This setup demonstrates the potential of affordable technology in enhancing electoral transparency and reducing fraud, especially in resource-constrained environments.