Smart Voting System using Facial Detection
Chandra Keerthi Pothina1, Atla Indu Reddy2, Ravikumar CV3
1Chandra Keerthi Pothina, Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India.
2Indu Reddy Atla, Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India.
3Ravikumar CV, Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 26, 2020. | Manuscript published on April 10, 2020. | PP: 2208-2213 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4806049620/2020©BEIESP | DOI: 10.35940/ijitee.F4806.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Online Voting System, Smart Voting, Voting, Face detection, Face Recognition, Haar Cascade.
Scope of the Article: IoT Applications for Smart Cities