An advanced traffic management system using YOLOv8, OpenCV, and Scikit-learn to analyze traffic flow, detect congestion, and provide real-time insights.
-
Real-time Vehicle Detection: High-accuracy vehicle detection and classification using YOLOv8.
-
Vehicle Counting: Accurately counts vehicles passing through specified zones.
-
Traffic Flow Analysis: Measures traffic volume and speed to determine the flow rate.
-
Congestion Detection: Uses machine learning to identify congestion based on vehicle density and speed.
-
Data Visualization: Overlays bounding boxes, tracking IDs, and counts on the video feed for intuitive monitoring.
-
Scalable & Modular: Designed for easy extension with new features like license plate recognition.