A Prototype Design of Driver Drowsiness Detection System

Completed2018

Abstract

One of the leading causes of the increasing mortality rate in the Philippines is road accidents. Driver error is the usual root of road accidents; one of these errors is driving while presently sleep deprived. The driver’s lack of discipline to the road’s rules and regulations is a major factor in contributing to the deaths of many, not only vehicle owners but also innocent pedestrians. The aim of this study is prevention of road accidents by tracing the physiological behavior of sleep deprived drivers by tracking their eye lid movements. A prototype shall be implemented to serve as a detection system to indicate the sleepy state of the driver and sound an alarm in order to prevent the impending danger that the driver might cause. The programming and circuitry for this is made feasible with Raspberry pi3 using the OpenCV libraries for the detection of facial features.

Keywords

Driver
Drowsiness
Detection
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