A Survey On Real-Time Traffic Monitoring and Speed Violation Detection System using Yolov8 and Centroid Tracking

CHERLOPALLI HEMALATHA; CHITHARI PRAVEENA; BONUPALLI CHANDU; KONETI PURUSHOTHAM; CHITTIBOINA RAKHESH

A Survey On Real-Time Traffic Monitoring and Speed Violation Detection System using Yolov8 and Centroid Tracking

Authors: CHERLOPALLI HEMALATHA, CHITHARI PRAVEENA, BONUPALLI CHANDU, KONETI PURUSHOTHAM, CHITTIBOINA RAKHESH

Unique Paper ID: 177964
Volume: 11
Issue: 12
PageNo: 1748-1753

Keywords: Object Detection Image Classification Vehicle Counting Tracking Speed Real-Time Traffic Monitoring DEEPSORT YOLOv8.

Abstract:
Urban traffic congestion presents significant challenges that require efficient and intelligent management solutions. Traditional traffic monitoring methods lack precision and adaptability, especially under varying conditions. The system includes a camera array for data collection, a data processing unit, and a user interface for real-time monitoring. Our solution employs YOLOv8 for accurate vehicle detection and classification and is demonstrated through rigorous testing. The system offers a robust framework for enhancing urban traffic management, reducing congestion, and improving road safety. Vehicle counting is a process to estimate traffic density on roads to assess the traffic conditions for intelligent transportation systems (ITS). It is difficult to quickly and precisely perceive and recognize vehicle sorts because of the close partition between vehicles in the city and the hindrances perspectives of the image or video picture, counting photos of vehicles. We have attempted to resolve this issue by utilizing the most recent YOLO algorithm. DEEPSORT is a computer vision tracking algorithm that simultaneously tracks and assigns an ID to each object. Intelligent traffic monitoring and management based on computer vision technology can provide functions such as illegal behavior monitoring and traffic flow optimization by processing and analyzing image data in traffic roads, improving the level of traffic management and road traffic safety.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 1748-1753

A Survey On Real-Time Traffic Monitoring and Speed Violation Detection System using Yolov8 and Centroid Tracking

Available:https://ijirt.org/Article?manuscript=177964

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