GitHub - sauravztx/Vehicle-Speed-Detection: This project leverages the power of computer vision and advanced image processing techniques to accurately detect and measure the speed of vehicles in real-time. The combination of Python programming language, OpenCV for computer vision tasks, and Dlib's Haar Cascade method ensures robust and efficient speed detection.

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This project leverages the power of computer vision and advanced image processing techniques to accurately detect and measure the speed of vehicles in real-time. The combination of Python programming language, OpenCV for computer vision tasks, and Dlib's Haar Cascade method ensures robust and efficient speed detection.

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Name		Name	Last commit message	Last commit date
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dlib_venv		dlib_venv
files		files
overspeeding/cars		overspeeding/cars
README.txt		README.txt
Speed_Detection.py		Speed_Detection.py

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Vehicle Speed Detection 

1. This is a python script to detect speed of multiple vehicles on multi-lane highways.
2. It uses Haar Cascade Classifier to detect vehicles in the every nth frame.
3. It removes unnecessary portion from the image to speed up processing.
4. Two reference lines have been set, one for vehicle entry and one for exit.
5. When any vehicle in any lane crosses the entry point, the time is recorded, and the vehicle is tracked.
6. Tracking is done using centroid tracking Techniques.
7. Time is recorded when the vehicles crosses the exit line.
8. Based on the time difference, the vehicles speed is estimated.