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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47175

Smart Traffic Management and Detection System Using AI and Computer Vision

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47175

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47175

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

PS

Pavithra S

PG

Preethi G

RS

Roobhasri S

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Abstract

The Smart Traffic Management and Violation Detection System integrates AI and Computer Vision to optimize traffic control and detect violations. By analyzing real-time video feeds from surveillance cameras, it adjusts traffic signal timings based on vehicle density, reducing congestion and delays. The system automatically detects violations such as red light jumping, helmetless riding, over speeding, and wrong-lane driving using object detection and OCR techniques. Violators’ license plates are recorded, and penalty notices are generated automatically. This solution enhances road safety, improves compliance, supports law enforcement, and provides valuable data for future urban planning and infrastructure development.

KEYWORDS

Smart Traffic Management Traffic Violation Detection Artificial Intelligence (AI) Computer Vision Real-Time Video Analysis.

Cite This Article

Pavithra S, Preethi G, Roobhasri S, "Smart Traffic Management and Detection System Using AI and Computer Vision," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47175

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Publication Date

8/4/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

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

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