What question did this study set out to answer?

This research aims to develop a system for detecting traffic violations through advanced image analysis techniques.

May 15, 2026Open Access

Mining Traffic Violation Patterns Through License Plate and Scene Image Analysis Using CNNs

SMSIDHARTHA MUNIMADUGULAKakatiya University SDSRAVANI DUBBASIKakatiya University NBNITHISH BANOTHKakatiya University

Key Points

This research aims to develop a system for detecting traffic violations through advanced image analysis techniques.
Utilized convolutional neural networks (CNNs) for analyzing traffic images.
Processed both license plate images and full-scene traffic images.
Employed automatic license plate recognition to gather vehicle registration details.
Successfully identified violations including signal jumping and helmet non-compliance.
Enhanced efficiency in traffic law enforcement through automated monitoring.
Reduced reliance on manual efforts for monitoring traffic violations.

Abstract

This paper presents an intelligent traffic monitoring system that detects and analyzes traffic violations using convolutional neural networks (CNNs). The system processes both license plate images and full-scene traffic images to identify violations such as signal jumping, helmet non-compliance, and lane violations. Automatic license plate recognition is used to extract vehicle registration details, enabling efficient traffic law enforcement and reducing manual monitoring efforts.

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Cite This Study

MUNIMADUGULA et al. (Wed,) studied this question.

synapsesocial.com/papers/6a06b983e7dec685947ac2be https://doi.org/https://doi.org/10.5281/zenodo.20162692

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