Real Time Driver Drowsiness Detection Using Opencv And Facial Landmarks

Document Type : Primary Research paper

Authors

1 Facult ,Department of Electronics and Communication Engineering, PSG College of Technology Coimbatore - 641004, India

2 Department of Electronics and Communication Engineering, PSG College of Technology Coimbatore - 641004, India

Abstract

In recent years driver fatigue is one of the major causes of vehicle accidents in the world. Major studies have suggested that around 20% of all road accidents are fatigue related. Drowsy Driving can be extremely dangerous, a lot of road accidents are related to the driver falling asleep while driving and subsequently losing control of the vehicle. However, initial signs of fatigue and drowsiness can be detected before a critical situation arises. A direct way of measuring driver fatigue is measuring the state of the driver i.e. drowsiness. So it is very important to detect the drowsiness of the driver to save life and property. This project is aimed towards developing a prototype of drowsiness detection system which detects the eye closure, yawning and head tilt of the driver and give warning to driver upon detecting drowsiness.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 2 - Serial Number 2
June 2021
Pages 4297-4314

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