Real-time Traffic Monitoring System using AI & Computer Vision
This project focuses on developing a real-time traffic monitoring system using artificial intelligence techniques. The system is designed to detect, track, and analyze vehicles in video feeds, providing valuable data for road safety and traffic management.
Using YOLOv8 for object detection, OpenCV for video processing, and Python for system orchestration, this project enables accurate vehicle tracking and speed estimation.
🚀 Key Benefits:
✔️ Enhances road safety
✔️ Optimizes traffic flow
✔️ Contributes to smart city initiatives
✅ Real-time Vehicle Detection & Tracking with YOLOv8
✅ Speed Calculation based on object movement
✅ Data Logging for further analysis (CSV format)
✅ Informative Overlays on video output
✅ Audio Alerts for specific traffic conditions
This solution is scalable and contributes to smart city initiatives by improving traffic flow and road safety.
| 🔧 Technology | 🛠 Purpose |
|---|---|
| Python 🐍 | System orchestration |
| YOLOv8 (Ultralytics) 🚗 | Object detection |
| OpenCV 🎥 | Video processing |
| Pandas & NumPy 📊 | Data handling |
| Winsound 🔊 | Audio alerts |
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Clone the Repository
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Install Dependencies
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Run speed.py
Through this project, we gained hands-on experience in:
🔹 Object Detection & Tracking using YOLOv8 for real-time vehicle identification
🔹 Real-time Video Processing with OpenCV to analyze traffic footage
🔹 Data Handling & Logging with Pandas and NumPy for structured analysis
🔹 Performance Optimization to ensure efficient AI-driven processing
This project strengthened our skills in computer vision, AI model deployment, and real-time analytics for intelligent traffic monitoring.
This system successfully:
✔️ Detects and tracks vehicles accurately using AI-powered object detection
✔️ Calculates vehicle speed in real-time to monitor traffic flow efficiently
✔️ Provides valuable insights for traffic management through data logging and analysis
🚦 Traffic Flow Optimization – Improve urban mobility with real-time insights
🛣 Road Safety Monitoring – Detect speeding vehicles and prevent accidents
🏙 Smart City Developments – Enable data-driven decision-making for city planners
This AI-powered traffic monitoring system contributes to safer roads, efficient traffic control, and smarter cities.
Contributions are welcome!
For any queries or collaborations, feel free to reach out!
🌐 GitHub: zeynepcol
👤 LinkedIn: zeynep-col