OpenCV Vehicle Detection and Counting System
CUDA supported image processing project. Vehicle detection, classification, and traffic density analysis with Python and C# hybrid architecture.
About
🚗 Smart Traffic Analysis
Image processing solution that performs vehicle detection and classification by processing real-time footage from intersection and highway cameras.
🛠️ Technical Architecture
- Core: OpenCV & YOLOv4
- Backend: Python (Image Processing) & C# (UI/Database)
- Acceleration: NVIDIA CUDA & cuDNN integration
- Data Source: IP Camera (RTSP) and Video File
⚡ Features
- Vehicle classification (Car, Truck, Bus, Motorcycle)
- Lane-based counting and density map
- Speed estimation and violation detection
- Night/Day adaptive algorithm
Frequently Asked Questions
What is the vehicle detection accuracy with YOLO?
Which camera systems is it compatible with?
Is GPU required?
How is the performance in night vision?
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