Paper Contents
Abstract
Drowsy driving is one of the major causes of deaths occurring in road accidents. The truck drivers who drive for continuous long hours (especially at night), bus drivers of long- distance route or overnight buses are more susceptible to this problem. Driver drowsiness is an overcast nightmare to passenger in every country. The main aim is to prevent the road accidents that are causing due to driver drowsiness. In order to solve this problem, we use a night vision camera which records the video and drivers face is detected in each frame employing image processing techniques. Facial landmarks on the detected face are pointed and subsequently the eye aspect ratio, mouth opening ratio are computed by using Euclidean Distance Formula. If Eye Aspect Ratio (EAR) is less than threshold value then system detects that driver is feeling drowsy and thus it gives alert to the driver. Where as if Mouth Aspect Ratio (MAR) is greater than threshold value then system detects that driver is feeling drowsy and gives alert to the driver. Thus, depending on their values, drowsiness is detected and gives the alert to the driver.
Copyright
Copyright © 2023 P.Bhaskar. This is an open access article distributed under the Creative Commons Attribution License.
