Video Image Recognition of Car Track Characteristics at Intersections

Automation and improved traffic management are key problems for modern cities and regions. This article presents an approach to the recognition and analysis of traffic flow using the YOLOv8 object detection algorithm. The technique offers an effective solution for detecting vehicles and their movement characteristics. Based on neural networks and deep learning, YOLOv8 provides high accuracy and speed of data processing, which allows you to quickly and accurately determine the movement of cars, motorcycles, bicycles and other objects on the roads. The developed approach has the potential for application in various fields, including traffic flow management, road safety and the development of intelligent transport systems.