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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM47460

VEHICLE PLATE DETECTION USING RASPBERRY PI

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Paper ID:

10.55041/IJSREM47460

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Monthly (12 issues per year)

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10.55041/IJSREM47460

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RJ

Ron Jais

NRN

Nirmal R Nair

SS

Shaik Sameer

SK

Sudharsan K

PR

Prof.Karthick Raghunath

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Abstract

This project introduces a cost-effective, portable, and adaptable license plate detection and recognition system using Raspberry Pi, leveraging computer vision and machine learning technologies. Unlike traditional stationary systems relying on high-end hardware and specialized software, this solution addresses cost, flexibility, and en vironmental adaptability challenges. Featuring five modules—image acquisition, pre processing, license plate detection, Optical Character Recognition (OCR), and result output—the system utilizes OpenCV, Tesseract OCR, and Python with TensorFlow/K eras for high performance on minimal hardware like Raspberry Pi 4, with optional portable accessories such as a USB power bank.

KEYWORDS

OpenCV Tesseract OCR and Python

Cite This Article

Ron Jais, Nirmal R Nair, Shaik Sameer, Sudharsan K, Prof.Karthick Raghunath, "VEHICLE PLATE DETECTION USING RASPBERRY PI," International Journal of Scientific Research in Engineering and Management, May 2025. https://doi.org/10.55041/IJSREM47460

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Publication Date

5/13/2025

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The authors declare no conflict of interest related to this research work.

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