IDENTIFICATION OF FAST CARS BY DEVELOPING SMART NUMBER PLATE RECOGNITION SYSTEM WITH WEB APPLICATION

In most parts of the world, it has been established that breaking traffic laws is a significant factor in road accidents. It mostly happens in developing nations. Despite the laws governing traffic, a rising number of people continue to violate them. This is because the authorized authorities in various regions of the world do not properly enforce the rules. As a result, a mechanism must be created to help law enforcement authorities enforce these regulations in order to increase road safety and decrease accidents. This work makes use of a real-time embedded technology called a Vehicle Plate Number Recognition (VNPR) system to automatically identify license plate numbers. By utilizing the OpenCV open-source library, it offers a VPNR substitute. The system’s primary goal is to employ image processing to identify automobiles that are breaking the law by their license plate numbers. For locating the car, it has an IR sensor. A minimum amount of time was specified during testing for the sensor to identify the object, which the CPU then logged. When the timer reached its present value, the camera was activated to record the plate number and save the picture to the Raspberry Pi. The Raspberry Pi processes the image after it has been captured in order to extract the numbers on the image.