Open AccessAutomatic Detection of Bike Riders Without Helmet
Author(s) -
K. Alekhya,
T. Sree Sharmila,
R. García Roja
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2063145
Subject(s) - thresholding , artificial intelligence , computer vision , computer science , cascading classifiers , classifier (uml) , image processing , frame (networking) , image (mathematics) , telecommunications , random subspace method
As per Indian scenario, motorcyclists break traffic rules very frequently by not wearing helmet and Indian traffic police is not strict to such riders because of their tedious work. Automatic Detection of Bike Riders without Helmet system is an application of computer vision and image processing technology that takes video of vehicles and take the vehicle frame as input image. This paper presents the technique by which motorcyclists without helmet are detected. In this technique moving vehicles are detected by thresholding and then classified into motorcyclist & non-motorcyclist by area and aspect ratio. To detect helmet first ROI is determined and by cascade classifier without helmet are detected. Finally we get the details of the particular bike rider from the database.