Face Detection & Secure Voting Using Face Recognition Technology
Year: 2025
Type: article
Abstract: This research presents a secure electronic voting system that uses facial recognition as the primary authentication method to prevent impersonation and duplicate voting. The system is developed using a ReactJS front end, Node.js/Express back end, and MongoDB database. Facial embeddings are generated in the browser using face-api.js and TensorFlow.js, ensuring privacy by avoiding transmission of raw images to the server. The platform includes secure voter registration, face-based login, a protected one-vote-per-user mechanism, and real-time result visualization. This work demonstrates how modern web technologies and deep-learning-based face recognition can be combined to build a reliable and user-friendly biometric voting solution.
Authors: Suvrodip, Chakraborty, Madhushree, Burman, Trisha, Giri, Md. Mizan, Chowdhury, Ayan, Roy, Sumit Kumar, Roy
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7106578222
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