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 throu...

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Hlavní autoři:	Rizki Juliansyah, Muhammad Aqil Musthafa Ar Rachman, Muhammad Al Amin, Aisya Tyanafisya, Nurrizkyta Aulia Hanifah, Endang Purnama Giri, Gema Parasti Mindara
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Asosiasi Doktor Sistem Informasi Indonesia 2024-12-01
Edice:	Journal of Information Systems and Informatics
Témata:	Traffic Density Monitoring YOLOv8 Digital Image Processing Real-time processing Object Detection
On-line přístup:	https://journal-isi.org/index.php/isi/article/view/912
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!