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Automated Biometric-EVM Implemented Using Lab-View

Authors: Hemavathi. R; Roopa A E;

Automated Biometric-EVM Implemented Using Lab-View

Abstract

Election commission still uses manual system during election for vote casting in this modern age of digitalization. In parliamentary elections it is consider introducing Electronic voting machines EVM though Evm is not entirely automated and has many limitations. Integrated database system containing all voters' information and a convenient user interface of an automated biometric voting system had designed, in this work. Automatically casted votes will be counted simultaneously of the voting process and result will be displayed. Using Lab VIEW enables the data base storage and file management process to easy to build and applicable in all other fields compare to other methods. Lab VIEW is mainly for data acquisition, data base storage, extraction of the data from data base and displaying it and also for report generation to store election voting information in files for future purpose. Main advantage of this project is not using internet connection for database extraction and storing purpose. This paper presents 2nd stage of verification by proving Aadhar information of the voter extracted by the use of fingerprints and that going to display on screen. The Aadhar information can be monitored. In future IOT can be implemented to send election report etc. Therefore, voting management of the election commission will be improved by ceasing fraudulent activities, corruptions, ensuring security, transparency, fairness, accuracy, trustworthy and keeping backup trails of voting system can be seen in this paper. Hemavathi. R | Roopa A E "Automated Biometric-EVM Implemented Using Lab-View" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18782.pdf

Keywords

Lab-view database, LPC 2184 ARM controller, Electrical Engineering, Lab-view file generation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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