Raspberry Pi and Image Processing Based Electronic Voting Machine (EVM)

Abstract

Electronic voting machine has already been developed and widely used in many developed countries. But most of them use Radio Frequency ID. In developing countries RFID for each person does not exist. And using RFID is still a costly solution. Some of the developing countries use image processing technique to detect citizens. But only image processing is not enough. Keeping these problems in mind this paper a raspberry pi will be used as host. The Raspberry Pi is a credit card sized single computer or SoC uses ARM1176JZF-S core. SoC, or System on a Chip, is a method of placing all necessary electronics for running a computer on a single chip. It needs an Operating system to start up. SD/MMC card will acts as a bootable hard disk. A camera will be used to take picture of citizen’s national ID card and identify that this user is valid voter for that region. If the citizen is valid and also didn’t vote then the person will be allowed to submit his/her vote. Each voting machine is locked by finger print access module. As the user is identified his/her finger print will be sent to a specific machine for voting. Each voting machine is networked with the central raspberry pi voting identification system.

Authors and Affiliations

C. Praveen Kumar, K. R. Ganesh

Keywords

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  • EP ID EP22173
  • DOI -
  • Views 286
  • Downloads 5

How To Cite

C. Praveen Kumar, K. R. Ganesh (2016). Raspberry Pi and Image Processing Based Electronic Voting Machine (EVM). International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(5), -. https://europub.co.uk/articles/-A-22173