Abstract For Driver Drowsiness Detection

Abstract in recent years driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries deaths and significant economic losses. The system records the videos and detects drivers face in every frame by employing image processing techniques. One of the technical possibilities to implement driver drowsiness detection systems is to use the vision based approach.
abstract for driver drowsiness detection

This article presents the currently used driver drowsiness detection.

Abstract for driver drowsiness detection. The system is capable of detecting facial landmarks computes eye aspect ratio ear and eye closure ratio ecr to detect drivers drowsiness based on adaptive thresholding. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Nowadays one of the main goals in the development of new advanced driver assistance systems is trustworthy drowsiness detection. Drowsiness and fatigue of drivers are amongst the significant causes of road accidents.

Driver drowsiness detection system abstract. Recent studies estimate that around 20 of car crashes have been caused by drowsy drivers. Abstract drowsy driver detection system has been developed using a non intrusive machine vision based concepts. Drowsy driving is a prevalent and serious public health issue that deserves attention.

The system uses a small monochrome security camera that points directly towards the drivers face and monitors the drivers eyes in order to detect fatigue. Every year they increase the amounts of deaths and fatalities injuries globally.