About the Project
Vehicle Detection & Logging System is an intelligent computer vision application that automatically detects vehicles from live camera feeds or recorded videos and logs each detected vehicle in real time. The system leverages deep learning–based object detection to identify different types of vehicles, records their entry time, and maintains a structured log for monitoring and analysis. Such systems are widely used in smart parking, traffic management, gated communities, and campus security to automate vehicle monitoring and reduce manual effort. (GitHub)
Key Features
- 🚗 Real-time vehicle detection from video streams.
- 📹 Supports webcam, CCTV, or uploaded video files.
- 📝 Automatically logs detected vehicles with timestamps.
- 📊 Maintains organized records for later analysis and reporting.
- ⚡ Fast and accurate detection using modern computer vision techniques.
- 💻 User-friendly interface for monitoring detection results.
Built With
- Python
- OpenCV
- YOLO (Ultralytics)
- Pandas
- NumPy
Applications
- Smart parking management
- Automated vehicle entry and exit logging
- Traffic monitoring and analytics
- Residential and industrial security
- Campus and office access management
