A Novel and Efficient Real Time Driver Fatigue and Yawn Detection-Alert System

Misna Ali, Shahsad Abdullah, C. S. Raizal, K. Rohith, Varun G. Menon
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引用次数: 7

Abstract

Fatigue among drivers is a major cause of road accidents every year in India. Lack of sound sleep for six to eight hours is one of the primary reasons behind this fatigue. Drivers with sleep deprivation can imbalance the reaction time and decision making when behind the wheels and this can increase the cause of accidents. This type of accidents is more likely to result in death or severe injury as they tend to be in high speed and because of the fact that driver has fallen asleep cannot apply brake or skew to avoid or reduce the impact. Therefore, it is highly essential to create a smart system which can spot and alert the driver of his/her condition. Although there are few solutions proposed in this direction, most of them have not been implemented successfully and many of them only remain in theory. In this research paper, we propose an efficient driver fatigue detection and alert system using mainly open source technologies. We implement and test this system in real time and the results are highly encouraging compared to many existing systems.
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一种新型高效的驾驶员疲劳与打哈欠实时检测预警系统
司机疲劳是印度每年发生交通事故的主要原因。缺乏6到8小时的充足睡眠是造成这种疲劳的主要原因之一。睡眠不足的司机在驾驶时反应时间和决策不平衡,这可能会增加事故发生的原因。这种类型的事故更有可能导致死亡或严重伤害,因为它们往往是在高速行驶中,因为司机已经睡着了,不能使用刹车或倾斜来避免或减少冲击。因此,创建一个能够发现并提醒司机他/她的状况的智能系统是非常必要的。虽然在这个方向上提出的解决方案很少,但大多数都没有成功实施,其中许多只是停留在理论上。在本文中,我们提出了一个高效的驾驶员疲劳检测和警报系统,主要采用开源技术。我们对该系统进行了实时实现和测试,与许多现有系统相比,结果非常令人鼓舞。
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