This research proposes an innovative approach to election security by introducing a fingerprint sensor and face recognition-enabled electronic voting system. Traditional voting methods, such as ballot papers and Electronic Voting Machines (EVMs), are susceptible to misuse, highlighting the need for a more secure and reliable system. The proposed system involves capturing and storing the fingerprints of voters in a database during registration, preventing multiple registrations by the same individual. On election day, voters authenticate their identity by scanning their fingerprints, which are then compared with the stored database. This process, combined with a unique identifier, significantly reduces the risk of duplicate registrations and ensures a high success rate in the voting process. Additionally, voters can cast their ballots from any location using their unique identifier, authentication responses, and a token key provided through a dedicated election web module. The successful implementation of this system at the University of Ibadan demonstrates its effectiveness in eliminating rigging and enhancing the overall security of the election process. The paper also highlights additional features incorporated into the proposed system for improved functionality compared to existing systems.

AT mega 328p; Camera detection; 16*2 Led Display; Fingerprint sensor;