VEHICLE DETECTION AND TRAFFIC MONITORING SYSTEM

This Python program detects vehicles in a video stream and monitors traffic volume using computer vision techniques. It utilizes OpenCV for video processing and vehicle detection.

FEATURES:

1. Real-Time vehicle detection and tracking
2. Traffic volume monitoring
3. Warning for high traffic volume

PREREQUISITES:

1. Python 3.8.5
2. OpenCV library (cv2)
3. NumPy library (numpy)

Installation:

1. Install Python 3.8.5 from [https://python.org] (https://www.python.org/downloads/)
2. Install required libraries: pip install opencv-python numpy

Usage:

1. Clone or download the repository.
2. Place your video file named video.mp4 in the same directory as the program.
3. Run the program: python vehicle_detection.py
4. The program will display the original video stream with vehicle detection and traffic volume monitoring.

Configuration:

1. You can adjust parameters such as minimum width and height of detected rectangles, count line position, and offset for vehicle detection in the program code.

Additional Notes:

1. Make sure to adjust the parameters according to your specific requirements and video characteristics.
2. This program assumes a constant camera angle and relatively stable lighting conditions for accurate detection.