MovingPandas is a Python library for movement data exploration and analysis. MovingPandas provides trajectory data structures and functions for handling movement data based on Pandas, GeoPandas, and HoloViz. The official MovingPandas API documentation is hosted on ReadTheDocs. For more information about individual releases, check out the Changelog.

We need to install the OpenCV library or its implementation. To install it in our system we can use the below pip command: pip install opencv-python We will using OpenCV for vehicle detection and handling video streams. Also we need time module to add delays after detecting a vehicle.

Once a vehicle is detected we draw rectangles around it. cars = car_cascade.detectMultiScale (gray, scaleFactor=1.1, minNeighbors=3): Detects vehicles in the grayscale image using the Haar Cascade classifier. print("Car detected!") After processing the frames we release the video capture object and close any OpenCV windows. Output:

The system is designed to accurately detect vehicles in real-time video streams, track their movements, and calculate their speeds based on pixel per meter (ppm) values. Vehicle Detection: Utilizes a Haarcascade classifier for accurate vehicle identification.