CALCULATING THE SPEED OF A VEHICLE USING PYTHON OPENCV IN REAL TIME IMAGE PROCESSING ON A RASPBERRY PI PROCESSOR

The speed detection camera for residential users can be developed by using a surveillance/security camera by the help of the chosen Raspberry Pi Processor. Image detection and processing can be accomplished by using Python programming. We can import several pre-written libraries such as motion library. We can set the camera to take the specified number of images over a specified period of time. The Raspberry takes multiple photos of the over-speeding vehicle, calculates the vehicle ' s speed and stores the data and pictures on its memory card. This information could then be useful to police to realize that there is a speeding problem in the neighborhood. Image thresholding method for speed detection is better than the commonly used RADAR as it has greater reliability, especially in unfavorable weather conditions. It will not compete or interfere with the steps taken by the local police. It will only prove that the problem exists as it gives the right information as proof .