Revolutionizing Toll Collection with Automatic Number Plate Detection Systems

Abstract—One kind of security system is the number plate recognition system. The NPR s ystem uses image processing principles. Additionally, this makes use of an OCR (Optical Character Recognition) system to decipher images of license plates. Tollway authorities utilize number plate recognition systems for a variety of reasons, one of which is to automatically recognize a vehicle's license plate, give the driver with a pay-slip, and then open the toll road to that vehicle. To authorize the car to park in their designated location, parking authorities also use this technique. The technology works by taking a picture of the license plate, processing it, and then reading each character on the plate to ensure flawless identification. The most important part is optical character recognition (OCR), which converts the images of license plates into text that can be deciphered later. This study presents an ANPR algorithm and network flow in its entirety, along with examples of its effective use. The Automatic Number Plate Recognition (ANPR) system was found to have an accuracy rate of 75- 85% for Indian number plates, thanks to its foundation in template matching. Keywords - Automatic Number Plate Recognition,Django, OCR, Toll Collection ,OpenCV, Vehicle Detection, Web Application