i-Helmet: An intelligent motorcycle helmet for rear big truck/bus intimation and collision avoidance

摘要

In this paper, we propose an intelligent motorcycle helmet, called /-Helmet, which integrates IR sensors with an image sensor and adopts the image recognition methodology to recognize rear big vehicles. Two detection modes (dayight) are designed for the purpose of the image recognition accuracy. Experimental results showed that the proposed /-Helmet can successfully be achieved image recognition of the license plate for rear big truck/bus. The recognition accuracy rate achieves about 70% (night) to 75% (day). Therefore, the proposed /-Helmet can real-time provide related intimations for avoiding rear big truck/bus collisions.