نظام ذكي لعد المركبات وقياس السرعة

Vehicle Speed Detection and Counting System

This project is a real-time vehicle detection, counting, and speed estimation system using YOLOv8 and computer vision. It analyzes video feeds to detect vehicles, track their movement, calculate speed, and provide valuable insights for traffic monitoring and smart city applications.

Project Overview

The Vehicle Speed Detection and Counting System leverages deep learning and computer vision techniques to automatically detect and track vehicles in real time. By analyzing frame-by-frame movement using YOLOv8, the system accurately counts vehicles and estimates their speed, enabling better traffic management and enforcement.

Key Features

YOLOv8 Vehicle Detection

• 🚗 Detects cars, trucks, and other vehicles in real-time.
• ⚡ High accuracy and speed using Ultralytics YOLOv8.

Vehicle Tracking & Counting

• 🆔 Tracks vehicles across frames with unique IDs.
• 🔢 Counts vehicles passing through a defined zone.

Speed Estimation

• 📏 Calculates speed based on distance and time.
• ⏱️ Frame-by-frame analysis for real-time speed output.

Real-Time Visualization

• 📊 Displays vehicle count and speed on-screen.
• 🎥 Live overlays on video feeds.

Alerts & Reporting

• 🚨 Alerts for speed limit violations.
• 📝 Data can be logged for traffic analysis.

Technology Stack

• 🐍 Programming Language: Python
• 🎥 Computer Vision: OpenCV
• 🧠 Object Detection & Tracking: YOLOv8
• 📐 Calculations: NumPy
• 📊 Visualization: Matplotlib

Use Cases

• 🚦 Traffic Monitoring & Congestion Analysis.
• 👮 Automated Speed Enforcement.
• 🏙️ Smart City Traffic Management.

Conclusion

The Vehicle Speed Detection and Counting System using YOLOv8 provides a scalable and reliable solution for real-time traffic analysis. By combining vehicle detection, tracking, and speed estimation, it supports smarter traffic control, improved law enforcement, and data-driven urban planning.