OCR-based vehicle number plate recognition powered by a raspberry Pi

Abstract

Modern technology has revolutionized automation. Security is at high priority with increasing automation. Today, to help people feel comfortable, video surveillance cameras are installed in public places like schools, hospitals, and other buildings. The main goal of this research work is to automatically collect vehicle images with a camera using a Raspberry Pi and recognising the licence plate of the vehicles. Vehicle number plate recognition is a challenging but crucial system. This is highly helpful for automating toll booths, identifying automated signal violators, and identifying traffic regulation violators. In this work, a Raspberry Pi is used for vehicle license plate recognition, which uses image processing to automatically recognize license plates. Incoming camera footage is continuously processed by the system to look for any signs of number plates. When the camera detects a number plate, Optical Character Recognition (OCR) technique is used to process the image and extract the number from it. The distance to an object is calculated by a sensor utilizing sound waves. The extracted number is then displayed by the system. This can be used for additional authentication.