Line Crossing Detector System for Real-TimeOver-Taking Vehicle Detection

Line Crossing Detector System for Real-TimeOver-Taking Vehicle Detection

YOLOv8n, Vehicle Detection, Line Crossing Detector, CNN

This study introduces a novel method for detecting overtaking vehicles by integrating Virtual Line Detection with the YOLOv8n algorithm. The objective is to enhance road safety by accurately identifying and tracking vehicles as they overtake, which is crucial for preventing. The research demonstrates the effectiveness of this approach, achieving a detection accuracy rate of 80.95% using line-crossingdetection techniques. This high level of accuracy underscores the potential of the system to reliably identify overtaking maneuvers in traffic conditions. Furthermore, this innovative method holds promising implications for enhancing safety riding by providing real-time alerts to drivers and preventing infrastructure loss resulting from traffic incidents. Ourfindings suggest that integrating advanced detection algorithms like YOLOv8n with virtual line detection can be a viable solution for modern traffic safety challenges

Ahmad Nanda Yuma Rafi1, Mohamad Yusuf

https://ijicom.respati.ac.id/index.php/ijicom/article/view/72/54

August 2024

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