Driver Distraction Detection Based on Eye Gaze

  • Driver Distraction Detection Based on Eye Gaze

Abstract

Nowadays vehicle accidents are most common if the driving is inadequate. Most of the accidents are caused due to mobile. NSTHA (National Highway Traffic Safety Administration) has stated that texting, browsing, and dialing is the reason for longest time of drivers taking their Eyes Off the Road (EOR) and increase the risk of crash by three times. Drivers easily get distracted by the activities happening around them such as texting, talking on mobile phone or talking to the neighboring person. In this project, a method is proposed to estimate the gaze of the driver and determine whether the driver is distracted or not. The system identifies the driver’s Distraction or sleepiness and gives an alert to the driver as an assistance system. The camera placed in best position is chosen to be on the dashboard without distracting the driver. The system will detect the driver's face and eyes by using CNN that showed significant advantages regarding processing time and correct detection algorithms. The main aim of this project is to reduce the number of accidents caused by distracted driving.

Published
2020-07-01