Fraud Voters Detection using Smart Electronic Voting Machine

Authors

  • Miss. Chavan Pallavi Ashok
  • Miss. Mane Priyanka Balasaheb
  • Miss. Kamble Aasavi Devappa
  • Shrenik Suresh Sarade

Keywords:

Electronic Voting Machine, Raspberry Pi Model B, Pi Camera, Fingerprint Sensor, Monitoring System

Abstract

The main aim of this project is to provide secured identification and authentication processes
for the voters and candidates by using fingerprint and face detection. The basic idea of this
project is to make an electronic voting machine that will help to reduce the manual voting
systems and prior versions of electronic voting. This system includes multiple layers of
verifications to ensure the reliability of the device. every voter is entered into the system after
being diagnosed and checked with the given database of enlisted electorate with together
with fingerprint sensor and Pi camera.The final vote is then displayed onto a monitoring
system for the satisfaction of voters. The voting problem is still critical in terms of safety and
security. This project is about the design and improvement of a machine the use of fingerprint
and face detection to offer a high performance with excessive safety to the vote casting
gadget. Fingerprint is broadly used for identification. The proposed undertaking displays
transparency and also carries the function of being self sustaining during the route of
operation. Election is the act of party casting votes to choose on man or woman for some type
of function. Election may additionally involve a public or private vote relying on the position.
maximum of the positions like local, state, and federal governments are balloting on in a few
form of election. An electronic voting system defines valid voting and gives a fast method of
counting votes, which helps to conclude a final result. In this project, we propose an idea to
avoid fraud voting and increases security about the voting. Lot of methods have been
developed to avoid fraudulence in voting systems, but we are not able to reduce it completely.
This system is secure, transparent, reliable as well as easy to use for the citizens. We scan the
finger print and face of every individual. The scanned finger print is authenticated, If matches
the individual is allowed to cast the vote.

Published

2018-12-24

How to Cite

Miss. Chavan Pallavi Ashok, Miss. Mane Priyanka Balasaheb, Miss. Kamble Aasavi Devappa, & Shrenik Suresh Sarade. (2018). Fraud Voters Detection using Smart Electronic Voting Machine. Journal of Electronic Design Engineering, 4(3), 22–25. Retrieved from http://matjournals.co.in/index.php/JOEDE/article/view/6745

Issue

Section

Articles