dc.contributor.advisor | Rahman, Dr. Md. Khalilur | |
dc.contributor.author | Anis, Arafa Mohd. | |
dc.contributor.author | Rahman, Hamidur | |
dc.contributor.author | Alam, Jennifer Sherry | |
dc.contributor.author | Nabil, Sohel Islam | |
dc.contributor.author | Hasan, Syed Mahmud | |
dc.date.accessioned | 2015-01-31T09:40:33Z | |
dc.date.available | 2015-01-31T09:40:33Z | |
dc.date.copyright | 2014 | |
dc.date.issued | 12/28/2014 | |
dc.identifier.other | ID 10201010 | |
dc.identifier.other | ID 11121106 | |
dc.identifier.other | ID 11321039 | |
dc.identifier.other | ID 11121108 | |
dc.identifier.other | ID 11101029 | |
dc.identifier.uri | http://hdl.handle.net/10361/3967 | |
dc.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (page 42 - 43). | |
dc.description | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. | en_US |
dc.description.abstract | The basis of this project is to create an electronic voting machine that will help to eradicate defrauding of the manual voting systems and prior versions of electronic voting. The thesis looks into and proposes a system that includes multiple layers of verifications to ensure the reliability of the device. With the inclusion of Near Field Communication ID cards and biometric fingerprint sensor, each voter is entered into the system through a swift process only after being recognized and checked with the given database of enlisted voters. Once the corresponding fingerprint is matched with the information provided by the identification card, the voter will be allowed to proceed to choosing their preferred candidate from the panel of buttons. Respective cards and fingerprints are marked for future references. The final vote is then printed out onto a ballot for the satisfaction of voters. The proposed project displays transparency and also carries the feature of being autonomous during the course of operation. | en_US |
dc.description.statementofresponsibility | Arafa Mohd. Anis | |
dc.description.statementofresponsibility | Hamidur Rahman | |
dc.description.statementofresponsibility | Jennifer Sherry Alam | |
dc.description.statementofresponsibility | Sohel Islam Nabil | |
dc.description.statementofresponsibility | Syed Mahmud Hasan | |
dc.format.extent | 49 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | EVM | en_US |
dc.subject | NFC | en_US |
dc.subject | Fingerprint | en_US |
dc.subject | POS printer | en_US |
dc.subject | Arduino | en_US |
dc.subject | Raspberry Pi | en_US |
dc.title | Development of electronic voting machine with the inclusion of near field communication ID cards, biometric fingerprint sensor and POS printer | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B. Computer Science and Engineering | |