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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM58508

Vehicle Number Plate Detection System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM58508

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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

VM

V. MEGHANA1

GM

G. MANIDEEP2

SL

S. LAKSHMAN3

JD

J. DEVI4

MVS

Mrs. V. SURYAKALA5

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Abstract

Vehicle number plate detection is a crucial technology in modern transportation systems, enabling automated identification and tracking for applications such as traffic management and law enforcement. This paper presents the design and implementation of an IoT-based system using a Raspberry Pi, OpenCV, and Tesseract OCR. The system captures images, identifies the number plate region through contour detection, and extracts characters using Optical Character Recognition (OCR). The data is transmitted to a cloud platform for real-time monitoring and mobile alerts. Results demonstrate that the system provides a cost-effective and scalable solution for intelligent transportation infrastructures.

KEYWORDS

Vehicle Number Plate Detection Raspberry Pi Internet of Things (IoT) OpenCV Tesseract OCR Python

Cite This Article

V. MEGHANA1, G. MANIDEEP2, S. LAKSHMAN3, J. DEVI4, Mrs. V. SURYAKALA5, "Vehicle Number Plate Detection System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

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Publication Date

3/28/2026

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Double-Blind Peer Review

Review Rounds: 2

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

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