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May 8, 20260 citationsOpen Access

Facial Recognition and Manual Verification Automation Device for Polling Booths (DigiVoter)

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YSYASH KUMAR SINGH YASH KUMAR SINGHSRM UniversityPRPriyanshu RanjanSRM UniversitySPSloppy Dr. K. Priyadharshini

Key Points

  • This research focuses on improving the voter verification process at polling booths using innovative technology.
  • DigiVoter system utilizes facial recognition technology powered by OpenCV.
  • System integrates blockchain-based data security for enhanced voter verification.
  • Preliminary analysis was conducted to assess the effectiveness of DigiVoter.
  • DigiVoter can significantly reduce queue times at polling booths.
  • The system enhances transparency in the voting process.
  • Improvements in voter participation and overall voting experience were noted.

Abstract

In democratic societies, the efficiency and integrity of the voting process are paramount. The DigiVoter system presents an innovative approach to addressing the longstanding challenges of voter verification at polling booths through facial recognition technology powered by OpenCV and blockchain-based data security. The system aims to automate and secure the voter verification process, reduce queue times, improve transparency, and enhance democratic participation. Preliminary analysis indicates that DigiVoter can significantly improve the voting experience while ensuring security, integrity, and operational efficiency in electoral systems.

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Cite This Study

SINGH et al. (2026) studied this question.

synapsesocial.com/papers/69fd7fa1bfa21ec5bbf08249https://doi.org/10.5281/zenodo.20056233
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