Method of Detecting Logistics Driver's Fatigue State Based on Computer Vision

Abstract

This paper proposes a more accurate way to detect the logistics driver fatigue state. In logistics transportation vehicle driving process, there are differences between the blinking frequency and the closing time of logistics driver's eyes. According to the difference, the logistics driver's fatigue state can be able to be detected. Using the computer, it can strengthen the processing to the image acquisition of logistics driver. And the improving the resolution of the image can provide the basis for logistics driver fatigue detection. The experimental results show: using a fuzzy detection method in this paper, can greatly improve the accuracy of detection, and overcome the drawbacks of traditional algorithm. That obtained the satisfactory results.