Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV

Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV

This study introduces a real-time traffic density monitoring system utilizing YOLOv8-based digital image processing to improve traffic management efficiency. By leveraging YOLOv8’s enhanced speed and precision, the system detects and classifies five types of vehicles and displays traffic data throug...

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Bibliographic Details
Main Authors: Rizki Juliansyah, Muhammad Aqil Musthafa Ar Rachman, Muhammad Al Amin, Aisya Tyanafisya, Nurrizkyta Aulia Hanifah, Endang Purnama Giri, Gema Parasti Mindara
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2024-12-01
Series:Journal of Information Systems and Informatics
Subjects:
traffic density monitoring
yolov8
digital image processing
real-time processing
object detection
Online Access:https://journal-isi.org/index.php/isi/article/view/912
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