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Using a Raspberry Pi, a Smart Electronic Voting Machine can Detect Fraudulent Voters

Swetamber Modake

Abstract


Using face and fingerprint detection, this project aims to provide voters and candidates with secure identification and authentication procedures. The essential thought of this task is to make an electronic democratic machine that will assist with lessening the manual democratic frameworks and earlier adaptations of electronic democratic. Because of a few criminal operations the surveying places are abused and individuals' vote to right has been denied. This framework incorporates different layers of confirmations to guarantee the unwavering quality of the gadget. Every elector is placed into the framework in the wake of being perceived and checked with the given data set of enrolled citizens with including unique mark sensor and Pi camera. The last vote is then shown onto an observing framework for the fulfillment of electors. The democratic issue is as yet basic with regards to somewhere safe and security. This undertaking is about the plan and improvement of a democratic framework utilizing finger impression and face identification to furnish an elite presentation with high security to the democratic framework. Finger impression is broadly utilized for distinguishing proof. The caught fingerprints and faces acknowledgment, which is contrasted and existing Pictures. Assuming that the picture is coordinated, the PC sends the order the individual is legitimate to casting a ballot and showed. On the off chance that anybody is attempting to do extortion vote, it showed the message of denied of vote. The proposed project shows straightforwardness and furthermore conveys the component of being independent throughout activity.

 


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References


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Prasad, R. M., Bojja, P., & Nakirekanti, M. (2016). Aadhar based electronic voting machine using arduino. International Journal of Computer Applications, 145(12), 39-42.


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