Now-a-days two wheelers is the most preferred mode of transport. It is highly desirable for bike riders and the pillions to use helmet. This paper uses image processing technique by which motorcyclists without helmet will be detected. In this project moving vehicles can be detected using the input as image or a video and then classified into motorcyclists and non-motorcyclists by background removal and based on size of the image being detected. If in case motorcyclist is detected without a helmet, the vehicle details with the person(s) on vehicle and the number plate is captured in the form of an image. An algorithm is designed to recognize number plates of motor cyclists using images or videos taken by camera. The recognition of number plate algorithm has different steps like Vehicle Classification, Pre-processing, choosing the ROI(Region of Interest), Recognition of number plates characters using image processing algorithms, storing in the database with the image as the proof with date and time recorded . A database will be designed with the proof stored with the offence to identify every offender accurately and arrest the suspect’s vehicle and hence imposing violation fines, the system uses pure machine learning in order to identify different types of helmet that it comes across with minimum cost. Keywords: motorcyclists without helmet, number plate recognition, image processing.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
NON IEEE -2021