Smart Electronic Voting Machine for Detection of Fraud Voters by Using Raspberry Pi
Chavan Pallavi Ashok, Mane Priyanka Balasaheb, Kamble Aasavi Devappa, Shrenik Suresh Sarade · 2019
The main aim of this project is to provide secured identification and authentication processes for the voters and candidates by using fingerprint and face detection. The basic idea of this project is to make an electronic voting machine that will help to reduce the manual voting systems and prior versions of electronic voting. Due to some illegal activities the polling places are misused and people's vote to right has been dennied. This system includes multiple layers of verifications to ensure the reliability of the device. Each voter is entered into the system after being recognized and checked with the given database of enlisted voters with including fingerprint sensor and Pi camera. The final vote is then displayed onto a monitoring system for the satisfaction of voters. The voting problem is still critical in terms of safety and security. This project is about the design and development of a voting system using fingerprint and face detection to provide a high performance with high security to the voting system. Fingerprint is widely used for identification. The captured finger prints and faces recognition, which is compared with existing Images. If the image is matched, the computer sends the command the person is valid to voting and displayed. If anyone is try to do fraud vote then it displayed the message of dennied of vote. The proposed project displays transparency and also carries the feature of being autonomous during the course of operation. Keywords: Electronic voting machine, raspberry Pi model 3 B+, Pi camera, fingerprint sensor, monitoring system