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IoT and Computer Vision-Based Electronic Voting System

机译:基于IOT和计算机视觉的电子投票系统

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摘要

Focusing on complete transparency with maximum security, a novel type of advanced electronic voting system is introduced in this paper. Identification and verification of voters are assured by microchip embedded national identity (NID) card and biometric fingerprint technology, which is unique for every single voter. Also, with the help of live image processing technology, this system becomes more secure and effective. As voting is an individual opinion among multiple, so the second influence is unacceptable. So while voting if multiple faces detected by the camera module of the voting machine, automatically the vote will not be counted. Viola-Jones algorithm for face detection and local binary pattern histogram (LBPH) algorithm for face recognition has begun the image preparing innovation increasingly exact and faster. Four connected machines work together to accumulate each successful vote in this system. To reduce corrupted situation and to recapture the faith of mass people on the election, this inexpensive and effective system can play a vital role.
机译:专注于最大安全性的完整透明度,本文介绍了一种新型的先进电子投票系统。通过Microchip嵌入式国家身份(NID)卡和生物识别指纹技术确保了选民的识别和验证,这对于每种选民都是独一无二的。此外,在实时图像处理技术的帮助下,该系统变得更加安全且有效。由于投票是个人观点,因此第二次影响是不可接受的。因此,在投票的情况下,如果由投票机的相机模块检测到多个面,则会自动计算投票。面部检测和局部二进制图案直方图(LBPH)面部识别算法(LBPH)算法的算法已经开始越来越精确且更快的图像准备创新。四台连接的机器一起工作,以积累在该系统中的每个成功投票。为了减少腐败的情况并重新夺回大众人民对选举的信念,这一廉价且有效的系统可以发挥重要作用。

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