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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 03 | Mar 2024

p-ISSN: 2395-0072

www.irjet.net

Voting System Using Face Recognition Rugved Deshpande1,Trupti Shinde2, Rutuja Boke3,Dr.Rajesh Kedarnath Navandar4 1Student, Electronics and Telecommunication Engineering, JSPM College of Engineering, Hadapsar 2Student, Electronics and Telecommunication Engineering, JSPM College of Engineering, Hadapsar

3Student, Electronics and Telecommunication Engineering, JSPM College of Engineering, Hadapsar

4Associate Professor, Electronics and Telecommunication Engineering, JSPM College of Engineering, Hadapsar

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Abstract - Voting systems are an essential component of

susceptible to fraudulent, like, practices. Despite a delayed start, like, in research on face recognition technology for voting systems, scientists have rapidly, like, caught up, establishing themselves as, like, industry leaders! With the global shift, like, towards the era of big data and the increasing demand for, like, secure and reliable voting methods, face recognition technology holds, like, great promise in the field of elections!

democratic processes, and it is crucial to maintain their integrity. The electoral context has been more interested in using facial recognition technology due to its improvements in recent years. This review of the literature delves into the complex field of face-recognition voting systems. We go over the corpus of research that covers facial recognition technology in its technical form, voter identity and verification, and its potential to improve voting. We also explore privacy issues, ethical issues, and the legal and regulatory frameworks that control the use of facial recognition technology in elections. Case studies and comparative analysis clarify practical applications and their consequences!!

To address the challenges faced in, like, implementing face recognition in voting systems, researchers have, like, proposed innovative solutions! Comprehensive frameworks, utilizing advanced technologies such as, like, convolution neural networks (CNN), focus on, like, learning robust face representations and enhancing the overall, like, security and reliability of the voting process! These like, advancements pave the way for the development of, like, secure and efficient face recognition-based voting systems, ensuring, like, accurate identity verification and preventing fraudulent practices!

Key Words: fundamental pillar of democratic processes, electoral context, regulatory frameworks, sentiment and concerns, rich tapestry

1. INTRODUCTION:-

This article strives to contribute to developing a secure and reliable voting system by crafting a face recognition-based voting system. Through rigorous experimentation and evaluation, the goal is to establish the accuracy, stability, and overall practicality of the system. The results obtained from these experiments will yield valuable insights into the potential of face recognition technology in revolutionizing the voting process, ensuring a secure and efficient means of conducting elections.

An voting system using face recognition is, like, a totally cutting-edge and secure mobile application that is so, like, designed to like, facilitate and enhance the voting process. This innovative app, like, combines the convenience of digital voting with the robust security of facial recognition technology to, like, ensure a trustworthy and accessible voting experience. In a world where elections are, like, a fundamental part of democracy, ensuring the, like, integrity of the voting process is, like, of paramount importance. Traditional paper-based voting systems often face, like, challenges related to fraud, identity verification, and accessibility. The Android Voting App with Face Recognition seeks to address these, like, super important issues by leveraging the, like, power of modern technology!

2. DELIBERATELY IMPERFECTED METHOD 1.

The proposed face recognition-based voting system leverages cutting-edge face recognition technology, a branch of computer vision that analyzes facial features to enforce to recognize or be able to say who or what somebody/something is. The process involves two primary stages: face detection, determining the presence of a human face, and face recognition matching, which contrast extracted facial features with known faces. This biometric recognition technology is necessary for protect. voter authentication in the proposed voting system.

In the current landscape, marked by, like, heightened concerns about security and identification, the significance of face recognition technology has, like, really surged. Its applications extend across public safety, civil economy, and various, like, super cool sectors, making it, like, a critical tool in today's technologically driven world. In contrast, face recognition systems offer, like, higher accuracy, and stability due to the, like, multitude of unique facial points, making them more, like, precise and less

Impact Factor value: 8.226

Face Recognition Technology Overview:

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