Automatic Helmet Wearing Detection on Public Roads Using Embedded System

ABSTRACT: In this paper, a novel and practical automatic helmet detection framework based on computer vision, machine learning and image processing is proposed. The goals are the study and implementation of some methods for automatic helmet wearing detection on public roads [1], Traffic images captured by cameras were used. They are the way of communica-tion in humans which convey many things non- verbally. During the current years object recognition has received sig-nificant attention as one of the important applications of image or video analysis and implementation. The detection of whether wearing helmets or not, automated mechanisms to inspect traffic violations Moreover, based on the result of helmet detection, real-time human classification framework is applied accurately and quickly. In this paper we present Helmet detection techniques using Viola and Jones algorithm and embedded system