Design and Implementation of a Bimodal Voter Accreditation and Voting System

Voting is fundamental to democracy but encounters issues like ballot padding and voter impersonation. In Nigeria, the Independent National Electoral Commission (INEC) launched the Bimodal Voter Accreditation System (BVAS) to address these problems, though it does not facilitate electronic voting. The manual voting process in the 2023 general elections resulted in vote buying and legal disputes. To improve reliability, the Bimodal Voter Accreditation and Voting System (BVAVS) was developed, allowing for electronic voting and real-time vote counting, thereby enhancing public trust. Developed using a waterfall methodology, the BVAVS features a fingerprint scanner and facial recognition camera, implemented in PHP with MySQL for voter data, and Firebase for biometrics. Modified C++ (Arduino) was used for coding the embedded BVAVS Scanner. The research involving fifty participants used a 5-point Likert scale questionnaire, with analysis performed via SPSS Version 20. Evaluation results show that the BVAVS achieves a usability score of around 4.44, an accuracy score of 4.8, and a security rating of 4.05, indicating a generally positive user experience. Its reliability rating is about 4.21, while user satisfaction averages 4.45, highlighting strong approval for its effectiveness. In light of Nigeria's growing demand for secure electoral processes, this research is timely and essential, instilling hope for trust and reliability in INEC and Nigeria as a nation. The BVAVS has the potential to complement or replace the current BVAS and could serve as a foundation for future research efforts. Keywords: Design, Implementation, Bimodal, Voter, Accreditation, Voting, System CISDI Journal Reference Format Jimoh, A.A., Olabiyisi, S.O. & Baale, A.A. (2024): Design and Implementation of a Bimodal Voter Accreditation and Voting System (BVAVS). Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 15 No 4, Pp 11-28. Available online at isteams.net. dx.doi.org