The system consists of modules of head-shoulder detection, face detection, eye detection, eye openness estimation, fusion, drowsiness measure percentage of eyelid closure (PERCLOS) estimation, and fatigue level classification. Internet Serv. Young, “Review of crash effectiveness of intelligent transport system,” TRaffic Accident Causation in Europe (TRACE), 2007. Our method, named SafeDrive, attempts to improve visual lane detection approaches in drastically degraded visual conditions without relying on additional active sensors. Homepage
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After that, we introduce some emerging platforms which designed to promote safe driving. In this paper, we propose a vision-based fatigue detection system for bus driver monitoring, which is easy and flexible for deployment in buses and large vehicles. Springer, ChamAbstractThe rapid development of the Internet of Things (IoT) has provided innovative solutions to reduce traffic accidents caused by fatigue driving.