Smart Voting System using Facial Detection

Author:

Abstract

India being a democracy, that too world’s largest, still conducts its elections using either Secret Ballet Voting or Electronic Voting Machines (EVM) both of which involve high costs, manual labor and are inefficient. So, the system must be optimized to be made efficient which would not leave room for unwanted means of voting. The current system requires the physical presence of every individual which is inconvenient to many people. This paper focuses on a system that uses faces to unlock the voting system just like in your phone and does not require physical presence to cast a vote as the traditional system does. The process is time-consuming as well. The entirely web-based system enables people to cast their votes from anywhere in the world. Using detection of faces decreases the chance of duplicating a vote and those who are registered prior to the election and are recognized by the system will be allowed to vote. Just like fingerprints, every face also has unique features like the distance between the eyes and eyebrows that remain unchanged with growing age which makes the system more secure. Hence, the approach makes the system the best way to vote

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart Voting Assistance System;Lecture Notes in Electrical Engineering;2024

2. Secure E-Voting System using Deep Learning Techniques;2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT);2022-12-23

3. A Novel Hybrid Voting System Using Machine Learning;International Journal of Advanced Research in Science, Communication and Technology;2022-06-24

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