Biometric-based Smart Electronic Voting System Using Internet of Things

The electoral commission encounters a number of issues throughout every election. Duplication, unlawful voting, and erroneous confirmation of the order of casting the ballots are the most prevalent problems the electoral commission encounters. This concept employs iris recognition to replace the present voting system with a new, secure one. One of the most reliable biometrics for identifying people is the iris. This post's primary objective is to prevent individuals from voting more than once. This study's main focus is an enhanced voting mechanism that uses both fingerprints and eyes. In the sophisticated voting system being created for this project, iris and fingerprint technologies are utilized. Each voter's iris is being scanned, and the information is being entered into a voter database along with the relevant AADHAR card number. Only when the voter's fingerprint matches the saved value is the voting procedure deemed successful. When a voter arrives, their iris is detected, and the image obtained is compared to their voting history. When the iris is picked up, we access the voter's data from our PC and contrast it with the voter's fingerprint. The person is permitted to cast a vote if both facts are true. The existing voting system is insecure because some voters cast false ballots or have multiple registrations. In this essay, voter security is thoroughly examined, and false voters are eradicated in order to strengthen and improve the credibility of the voting system. After voting is successfully finished, the results are stored in the cloud using IoT. Data collection and calculations are done automatically. The results are displayed in IoT at the conclusion of the day after the total votes and data have been automatically calculated. Less time will be spent storing voting machines, and less unauthorised people will replace voting equipment.