Fingerprint-Based Voting Machine

Abstract: This project introduces a “Fingerprint-Based Biometric Smart Electronic Voting Machine” using Arduino, designed to improve the security, reliability, and efficiency of the voting process. Traditional voting systems are often prone to errors, duplication of votes, and fraudulent practices. To address these challenges, this system utilizes a fingerprint sensor to uniquely identify each voter, ensuring that only registered individuals can cast their vote and that each voter is allowed to vote only once.Once a voter is successfully authenticated through their fingerprint, they can choose their preferred candidate using simple push buttons. The system immediately records the vote in the Arduino’s memory and provides real-time confirmation through an LCD screen, LED indicators, and a buzzer. If authentication fails, the voter is notified instantly, preventing unauthorized access. By automating voter verification and vote recording, this system significantly reduces human error and the chances of electoral fraud. Additionally, it allows for easy and quick counting of votes, making the election process faster and more transparent. The design is scalable, cost-effective, and flexible, with the potential to incorporate advanced features in the future, such as transmitting results online, supporting multiple languages, or integrating with a physical ballot box. In essence, this smart voting machine combines modern biometric technology with simple electronics to create a safer, more efficient, and user-friendly voting experience, promoting trust and accuracy in elections.

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Institutions

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-11-13
DOI
https://doi.org/10.48175/ijarsct-29462
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
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article

Fingerprint-Based Voting Machine

Kirti Pujari, Avinash Harale, Anuja Pawar, Prachi Pawar
International Journal of Advanced Research in Science Communication and Technology
Internet Traffic Analysis and Secure E-voting
article

Fingerprint-Based Voting Machine

Kirti Pujari, Avinash Harale, Anuja Pawar, Prachi Pawar
article en

Abstract

Abstract: This project introduces a “Fingerprint-Based Biometric Smart Electronic Voting Machine” using Arduino, designed to improve the security, reliability, and efficiency of the voting process. Traditional voting systems are often prone to errors, duplication of votes, and fraudulent practices. To address these challenges, this system utilizes a fingerprint sensor to uniquely identify each voter, ensuring that only registered individuals can cast their vote and that each voter is allowed to vote only once.Once a voter is successfully authenticated through their fingerprint, they can choose their preferred candidate using simple push buttons. The system immediately records the vote in the Arduino’s memory and provides real-time confirmation through an LCD screen, LED indicators, and a buzzer. If authentication fails, the voter is notified instantly, preventing unauthorized access. By automating voter verification and vote recording, this system significantly reduces human error and the chances of electoral fraud. Additionally, it allows for easy and quick counting of votes, making the election process faster and more transparent. The design is scalable, cost-effective, and flexible, with the potential to incorporate advanced features in the future, such as transmitting results online, supporting multiple languages, or integrating with a physical ballot box. In essence, this smart voting machine combines modern biometric technology with simple electronics to create a safer, more efficient, and user-friendly voting experience, promoting trust and accuracy in elections.

International Journal of Advanced Research in Science Communication and Technology
Sinhgad Dental College and Hospital (IN)
Openalex Percentile: Top 82%
Internet Traffic Analysis and Secure E-voting
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Fingerprint-Based Voting Machine — Kirti Pujari, Avinash Harale, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS