Block Chain Enhanced Secure Electronic Voting System Using Real Time Face Recognition and OTP Authentication
Year: 2025
Type: article
Abstract: The Real-Time Face Recognition Electronic Voting System is an innovative solution to improve security, reliability, and transparency in electronic voting systems (EVS). Using advanced deep learning models, it accurately recognizes and verifies registered voters by identifying unique patterns in their facial features, which significantly reduces the chances of mistakes, like identifying the wrong person [1]. After a voter’s face is successfully recognized, the system sends a one-time password (OTP) to their registered mobile number as an extra layer of security, preventing unauthorized access and reducing the risk of voter fraud [2]. Once voters pass both face recognition and OTP verification, they gain access to the voting interface, where they can securely cast their vote. Every vote is recorded instantly as a unique transaction on a blockchain ledger, which ensures that votes cannot be tampered with. The decentralized nature of blockchain also boosts transparency, allowing voters, election officials, and auditors to verify results without relying on a single central authority [3]. This decentralized setup not only helps prevent vote tampering and data breaches but also makes the system more trustworthy and secure [4]. Designed to work in real time, the system has minimal delays, making it a practical choice for large-scale elections and real-world voting needs
Author: Sanket Kale
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407808587