SMART VOTING AND VERIFICATION SYSTEM USING FACE RECOGNITION WITH SECURITY ALERTING

  • Unique Paper ID: 194785
  • Volume: 12
  • Issue: 10
  • PageNo: 5451-5455
  • Abstract:
  • Traditional voting systems often face challenges related to identity theft, duplicate voting, and manual verification errors, which can compromise the integrity of democratic processes. This paper proposes a Smart Voting and Verification System that leverages Biometric Face Recognition to enhance security and transparency. The system utilizes OpenCV and NumPy for real-time facial feature extraction and matching, ensuring that only registered voters can cast their ballots. To maintain a lightweight and accessible architecture, the system is developed using Python within the Anaconda environment, utilizing CSV files for structured and efficient data management of voter records. A key innovation of this project is the integration of an automated security alerting mechanism that triggers immediate notifications if an unauthorized user or a repeat voter attempts to access the interface. To ensure the reliability of the system, rigorous software testing techniques—including unit and integration testing—were applied to validate the accuracy of the recognition algorithm and the robustness of the security protocols. Experimental results demonstrate that the system provides a high degree of accuracy in diverse lighting conditions and offers a scalable, low-cost solution for modernizing electoral infrastructure while significantly reducing the potential for electoral fraud.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{194785,
        author = {N.SAIKIRAN and P.MANASA and K.MEGHANATH and P.YESHWANTH SAI and Ms. N.JYOTHI},
        title = {SMART VOTING AND VERIFICATION SYSTEM USING FACE RECOGNITION WITH SECURITY ALERTING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5451-5455},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194785},
        abstract = {Traditional voting systems often face challenges related to identity theft, duplicate voting, and manual verification errors, which can compromise the integrity of democratic processes. This paper proposes a Smart Voting and Verification System that leverages Biometric Face Recognition to enhance security and transparency. The system utilizes OpenCV and NumPy for real-time facial feature extraction and matching, ensuring that only registered voters can cast their ballots. To maintain a lightweight and accessible architecture, the system is developed using Python within the Anaconda environment, utilizing CSV files for structured and efficient data management of voter records.
A key innovation of this project is the integration of an automated security alerting mechanism that triggers immediate notifications if an unauthorized user or a repeat voter attempts to access the interface. To ensure the reliability of the system, rigorous software testing techniques—including unit and integration testing—were applied to validate the accuracy of the recognition algorithm and the robustness of the security protocols. Experimental results demonstrate that the system provides a high degree of accuracy in diverse lighting conditions and offers a scalable, low-cost solution for modernizing electoral infrastructure while significantly reducing the potential for electoral fraud.},
        keywords = {Face Recognition, OpenCV, Smart Voting, Biometric Security, Python, Software Testing, Real-time Alerting.},
        month = {March},
        }

Cite This Article

N.SAIKIRAN, , & P.MANASA, , & K.MEGHANATH, , & SAI, P., & N.JYOTHI, M. (2026). SMART VOTING AND VERIFICATION SYSTEM USING FACE RECOGNITION WITH SECURITY ALERTING. International Journal of Innovative Research in Technology (IJIRT), 12(10), 5451–5455.

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