FPGA Based Real-Time Face Authorization System for Electronic Voting System

Zeeshan Ahmed Soomro, Tayab Din Memon, Falak Naz, Ahmed Ali

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

in this paper, we have developed a standalone authentication application by using a face recognition technique with NI MyRIO and LabVIEW, along with the integration of the OpenCV library and NI VISION tool kit. The designed system can recognize and allow the authenticated person(s) keeping in view of existing systems limitation in a real-time environment, specifically caused by delay. The proposed solution is designed followed by a performance perspective and comparative analysis through Matlab, Raspberry pie, LabVIEW, and FPGA. The overall system is a combination of hardware and software, employing parallel processing techniques and modules such as NI MyRIO FPGA. The proposed designed system is tested in real-time scenarios and can be tailored to the electronic voting system via NADRA database.

Original languageEnglish
Title of host publication2020 3rd International Conference on Computing, Mathematics and Engineering Technologies
Subtitle of host publicationIdea to Innovation for Building the Knowledge Economy, iCoMET 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728149707
DOIs
Publication statusPublished - Jan 2020
Externally publishedYes
Event3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020 - Sukkur, Pakistan
Duration: 29 Jan 202030 Jan 2020

Publication series

Name2020 3rd International Conference on Computing, Mathematics and Engineering Technologies: Idea to Innovation for Building the Knowledge Economy, iCoMET 2020

Conference

Conference3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020
Country/TerritoryPakistan
CitySukkur
Period29/01/2030/01/20

Keywords

  • electronic voting system
  • face detection
  • face recognition
  • LabVIEW
  • NI MyRIO FPGA
  • NI VISION tool kit
  • OpenCV integration
  • real-time environment
  • security

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