In urban traffic, pedestrians frequently break into the road has become an important cause of traffic accidents. To solve this problem, a road safety monitoring model based on YOLOv8 object detection algorithm is constructed in this study. The model is designed to monitor vehicles, pedestrians, bicycles and other elements on the road in real time and record pedestrian violations, with a special focus on trespassing in prohibited areas. Through advanced computer vision technology and Streamlit, an efficient traffic monitoring system is realized, which improves the level of urban traffic safety and reduces the potential risk of traffic accidents. This innovative project will play an important role in the field of urban safety management.

Ding Yushen. Road Safety Monitoring Model Based on YOLOV8. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 3: 91-96. https://doi.org/10.25236/AJCIS.2024.070313.

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