Deep Learning & Computer Vision Integrated Smart Voting System

Abstract

In this paper, an online voting method for elections in India is initially suggested. The suggested model has higher security as the voter’s raised secure password must be validated prior to the recording of the vote in the major database owned by our nation’s Election Commission. The model’s additional feature allows the voter to verify that the right candidate or party received their vote. In this arrangement, a voter has the option to cast a ballot from a place other than the one designated for them or from their favorite site. Vote counting will be made in an automated fashion under the proposed approach, saving a significant amount of period and allowing our nation’s Commission set for Election to declare the results in a much fast succession. Alongside the password-based authentication, we have also utilized the face-based authentication along with the successful implementation of the OpenCV in addition to the password validation. We describe a model for a web voting entity for India in this application using the above said constituents. When contrasted with the conventional voting system, this version of voting systems seems to be considerably much secure and efficient. The delays and frauds occurring during counting of votes can be easily prevented.