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

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 (day/night) 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.