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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 10 (October 2026) | Submission Deadline: October 26, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-5569

DESIGN OF ELECTRONIC VOTING MACHINE BASED ON IMAGE PROCESSING USING RASPBERRY PI

Author(s):R.Odaiah, G.Gopi, A.Mounika, B.Aditya Nair
Institution:Associate Professor, Electronics and CommunicationEngineering, Geethanjali College of Engineering and Technology
Published In:Vol. 5, Issue 4 — April 2018
Page No.:520-526
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Electronic voting machine (EVM) has been developedand widely used in many developed nationsfor furtherimprove the election process and to avoid rigging, but most of them use Radio Frequency ID. In developing countriesRFID identity for each person does not exist. And using RFID is still a costly solution. Some of the developing countriesuse image processing technique to detect citizens. But only image processing is not enough for security criteria.Keeping these problems in mind in this paper a raspberry pi will be used as host. The Raspberry Pi is a credit card sizedsingle computer or SoC uses ARM1176JZF-S core. SoC, or System on a Chip, is a method of placing all requiredelectronics for running a computer ona single chip. It needs an Operating system to start up. SD/MMC card will acts asa bootable hard disk. A camera will be employed to take picture of citizen’s frontal image and identify that this user isvalid voter for that region. If the citizen is valid and also didn’t vote then the person will be allowed to submit his/hervote. Each voting machine is locked by finger print access module. As the voterfingerprint ismatched with the database,he/she will be sent to a specific machine for voting. Each voting machine is linked with the central raspberry pi votingidentification system.

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🕮 How to Cite

R.Odaiah, G.Gopi, A.Mounika, B.Aditya Nair, “DESIGN OF ELECTRONIC VOTING MACHINE BASED ON IMAGE PROCESSING USING RASPBERRY PI”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 520-526, April 2018.

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Vol. 13 | Issue 10
October-2026