Detecting Traffic Rules Violations using Computer Vision

The growing number of automobiles, particularly in urban areas, has increased traffic congestion and the likelihood of traffic offenses globally due to the growing desire for comfort and convenience. In addition to putting lives in danger, these violations highlight how urgently automated solutions that guarantee compliance with traffic laws and improve road safety are needed. Conventional enforcement techniques, which depend on manual labor, are frequently laborious and have a narrow reach. In order to overcome these obstacles, this study suggests a sophisticated system for detecting traffic violations that uses state-of-the-art computer vision methods to get high accuracy in real-time

Authors

Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-04-16
DOI
https://doi.org/10.47392/irjaem.2025.0200
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Detecting Traffic Rules Violations using Computer Vision

M. G. Gogate, Ashish Mishra, Shivam Pandey, Satyaprakash Bind
International Research Journal on Advanced Engineering and Management (IRJAEM)
Vehicle License Plate Recognition
article

Detecting Traffic Rules Violations using Computer Vision

M. G. Gogate, Ashish Mishra, Shivam Pandey, Satyaprakash Bind
article en

Abstract

The growing number of automobiles, particularly in urban areas, has increased traffic congestion and the likelihood of traffic offenses globally due to the growing desire for comfort and convenience. In addition to putting lives in danger, these violations highlight how urgently automated solutions that guarantee compliance with traffic laws and improve road safety are needed. Conventional enforcement techniques, which depend on manual labor, are frequently laborious and have a narrow reach. In order to overcome these obstacles, this study suggests a sophisticated system for detecting traffic violations that uses state-of-the-art computer vision methods to get high accuracy in real-time

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(04)
Openalex Percentile: Top 87%
Vehicle License Plate Recognition
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