Traffic Violation Detection System

• Tech Stack: Python, YOLOv8, OpenCV, TensorFlow, Gradio, Scikit-learn
• Github URL: Project Link

An AI-powered traffic violation detection system designed to enhance road safety by identifying traffic rule violations in real-time.

Overview

Key features of the system include:

• Detecting and identifying common traffic violations, such as helmet violations, overcrowded vehicles, and lane violations.
• Using YOLOv8 for object detection, accurately capturing and classifying traffic violations in video frames.
• Real-time processing capabilities for quick violation detection and response.
• Gradio-based user interface to display detected violations, along with relevant image data like license plates.