Facial Recognition and Manual Verification Automation Device for Polling Booths (DigiVoter)
YASH KUMAR SINGH YASH KUMAR SINGH, Priyanshu Ranjan, Sloppy Dr. K. Priyadharshini · Zenodo (CERN European Organization for Nuclear Research) · 2026
In democratic societies, the efficiency and integrity of the voting process are paramount. The DigiVoter system presents an innovative approach to addressing the longstanding challenges of voter verification at polling booths through facial recognition technology powered by OpenCV and blockchain-based data security. The system aims to automate and secure the voter verification process, reduce queue times, improve transparency, and enhance democratic participation. Preliminary analysis indicates that DigiVoter can significantly improve the voting experience while ensuring security, integrity, and operational efficiency in electoral systems.