Helmet and Number Plate Detection and Recognition

Abstract

Today, motor cycles are the most popular means of transportation. Cyclists and Passengers using helmets. This paper uses image processing techniques that motor cycles use to ride without helmets. Recognized. This project recognizes moving vehicles based on input as images or videos, Categorize motor cyclists and non-motor cyclists based on background removal and image size Recognized. If the vehicle detects that the motor cyclistis not wearing a helmet, the vehicle details the person. Vehicles and license plates are captured in the form of images. Algorithms are designed to recognized ig its A motor cyclist's signature from an image or video captured by a camera. License plate recognition has an algorithm Various steps such as vehicle classification, pre processing, ROI (Region of Interest) selection, and detection Sign the license plate using an image processing algorithm and store the image in a database. Evidence with the date and time recorded. A database is created with the evidences to redin relation to the crime Accurately identify each criminal ,arrest the suspect's vehicle and use it to fine them The system uses pure machine learning to identify different helmet types encountered minimal cost. Key Word: motorcyclists without helmet, number plate recognition, Machine Learning, Artificial Intelligence, image processing.