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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67755
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Electronics and Telecommunication
Dr.Daultrao Aher College of Engineering
Conventional polling relies on manual identity checks, isolated voting machines and paper-based reporting, which leave room for impersonation, double voting, booth tampering and slow counting. This paper presents the design of SecureVoteGuard, an AI-IoT based smart election authentication and integrity monitoring system built around a low-cost ESP32 controller. A voter is verified in three successive stages: an RFID card read by an RC522 module, face matching on an ESP32 camera image, and fingerprint matching on a DY50 optical sensor. The candidate buttons are unlocked only when all three stages pass. A duplicate-vote check against a cloud database marks each voter as “Voted” the moment a vote is cast, tamper switches in the enclosure raise local alarms and cloud alerts when the unit is opened, and a real-time dashboard shows voter verification, votes cast, authentication failures and tampering alerts to the election officer. The prototype is planned as a mini polling booth and is expected to provide three-layer authentication, instant duplicate-vote rejection, immediate tamper alerts and live monitoring at an estimated cost of about Rs. 7000.
KEYWORDS
SecureVoteGuard, an AI-IoT based smart election system built on an ESP32 controller, RFID, face recognition, fingerprint authentication and cloud storage, has been designed to address identity theft, double voting, booth tampering, the lack of live alerts and slow counting in conventional polling. The prototype is expected to deliver successful three-layer authentication, instant duplicate-vote elimination, immediate physical tamper alerts, live centralized data synchronization and a comprehensive real-time monitoring dashboard. Its low cost and modular structure make it suitable for demonstration and for further development towards larger deployments. The next steps are to build and test the prototype with valid, duplicate and fake voters, then to extend the design to multiple booths and use analytics to improve the service.
[1] A. Manoj et al., “Next Generation Voting Approach: A Secured Biometric Voting System,” IEEE, 2024. [2] “Dual Authentication Voting System with Facial Recognition and Fingerprint Using CNN,” IEEE, 2023. [3] “Enhancing Voter Identity Verification Through Cloud Computing Enabled Biometric Authentication – Modern Voting,” IEEE, 2024. [4] “Fingerprint-Authenticated Voting System with Real-Time Data Sharing via Android Application,” IEEE, 2025. [5] S. Najam Syed, A. Z. Shaikh and S. Naqvi, “A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition.”
Publication Date
10/9/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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