Digital Voting System with Face Recognition

Voting is a fundamental process in democratic systems, enabling individuals to express their choices in elections conducted by institutions, organizations, and governments. With the advancement of digital technologies, there is an increasing need to modernize traditional voting systems to improve efficiency, transparency, and security. Conventional voting methods, whether paper-based or basic electronic systems, often face challenges such as impersonation, duplicate voting, manual verification errors, and delayed result processing. In many existing voting systems, voter authentication relies on physical identity cards or manual verification, which can be inaccurate and vulnerable to misuse. These limitations reduce trust in the election process and increase administrative workload. To address these challenges, biometric authentication has emerged as a reliable solution for secure identity verification. This project proposes a Digital Voting System with Face Recognition, which integrates biometric technology into the voting process. The system verifies the voter’s identity using facial recognition before allowing vote casting, ensuring that only authorized voters can participate and that each voter can vote only once. Automated vote recording and result generation further enhance efficiency and accuracy. The proposed system provides a secure, reliable, and user-friendly platform for conducting elections in academic institutions, organizations, and similar environments.

2. Related Work

The conduct of elections requires a secure, transparent, and well-coordinated process to ensure voter trust and democratic integrity. In institutions, organizations, and governmental settings, voting procedures involve voter registration, identity verification, vote casting, and result compilation. Despite technological advancements, many voting systems still rely on traditional or semi-digital approaches that are vulnerable to impersonation, duplicate voting, and operational inefficiencies.