Electronic Voting Machine with Face Recognition

Electronic Voting Machines (EVMs) have improved the efficiency of elections; however, voter impersonation and duplicate voting remain critical challenges. This paper proposes) using real-time face recognition for voter authentication. The system integrates a webcam-based face capture module, facial encoding storage in a secure database, and a graphical user interface for vote casting and administration. The framework ensures that only registered voters can vote and prevents multiple voting attempts using biometric verification and database validation. The proposed system is suitable for academic institutions, organizational elections, and prototype-level secure voting research. Experimental evaluation demonstrates reliable face recognition accuracy under controlled lighting conditions with prevention of duplicate voting.