Intelligent Traffic Management System: An Advanced Solution for Helmet Compliance, Traffic Signal Violation Detection, Number Plate Identification

Intelligent Traffic Management System (ITMS) is an advanced solution that aims to enhance road safety by ensuring helmet compliance, detecting traffic signal violations, and identifying number plates. This system utilizes cutting-edge technologies such as computer vision, machine learning, and artificial intelligence to monitor and analyse various aspects of traffic. One of the key features of the ITMS is its ability to enforce helmet compliance. The system will be able to determine if riders are wearing helmets or not, by analysing real-time video footage from surveillance cameras using computer vision algorithms. Furthermore, the ITMS incorporates traffic signal violation detection capabilities, providing an efficient solution for identifying and penalizing motorists who disregard traffic signals. This helps in reducing accidents and improving overall traffic flow. Another important functionality of the ITMS is number plate identification. Through optical character recognition algorithms, the system can capture and extract license plate numbers of vehicles passing through specific checkpoints. In summary, the Intelligent Traffic Management System offers a comprehensive solution for ensuring helmet compliance, detecting traffic signal violations, and identifying number plates using YOLO v7 Algorithm. With its integration of advanced technologies, it provides an efficient and effective approach to enhance road safety and traffic management.

Authors

Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/iceect61758.2024.10739321
Citations
4
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.85
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article

Intelligent Traffic Management System: An Advanced Solution for Helmet Compliance, Traffic Signal Violation Detection, Number Plate Identification

Surekha, Gajanana Krishna, Damojipurapu Venkata Karthikeya
4 citations
IoT and GPS-based Vehicle Safety Systems
0.85
article

Intelligent Traffic Management System: An Advanced Solution for Helmet Compliance, Traffic Signal Violation Detection, Number Plate Identification

Surekha, Gajanana Krishna, Damojipurapu Venkata Karthikeya
article en
4 citations

Abstract

Intelligent Traffic Management System (ITMS) is an advanced solution that aims to enhance road safety by ensuring helmet compliance, detecting traffic signal violations, and identifying number plates. This system utilizes cutting-edge technologies such as computer vision, machine learning, and artificial intelligence to monitor and analyse various aspects of traffic. One of the key features of the ITMS is its ability to enforce helmet compliance. The system will be able to determine if riders are wearing helmets or not, by analysing real-time video footage from surveillance cameras using computer vision algorithms. Furthermore, the ITMS incorporates traffic signal violation detection capabilities, providing an efficient solution for identifying and penalizing motorists who disregard traffic signals. This helps in reducing accidents and improving overall traffic flow. Another important functionality of the ITMS is number plate identification. Through optical character recognition algorithms, the system can capture and extract license plate numbers of vehicles passing through specific checkpoints. In summary, the Intelligent Traffic Management System offers a comprehensive solution for ensuring helmet compliance, detecting traffic signal violations, and identifying number plates using YOLO v7 Algorithm. With its integration of advanced technologies, it provides an efficient and effective approach to enhance road safety and traffic management.

Peace, Justice and strong institutions
Openalex Percentile: Top 30%
IoT and GPS-based Vehicle Safety Systems
0.85
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Intelligent Traffic Management System: An Advanced Solution for Helmet Compliance, Traffic Signal Violation Detection, Number Plate Identification — Surekha, Gajanana Krishna, et al. · (2024) | TGRS Research Map | TGRS