Real-time Driver Drowsiness Detection with Android

Abstract

Abstract: Major causes for the road accidents are Driver Fatigue and Distraction. Recently many driver monitoring systems have been proposed for monitoring driver activities to avoid accidents. Almost all the systems which exists till date are in the specialized embedded or hardware form, which are present in expensive and luxurious cars. This research paper presents a cost efficient approach to detect driver fatigue and monitor dizziness/drowsiness in real-time. An intelligent android app to monitor driver fatigue and distraction during travel using Adaptive Template Matching and Adaptive Boosting is achieved and implemented. Developing of technologies for preventing drowsiness is quite challenging in the area of accident avoiding systems. Preventing drowsiness during driving requires a method to accurately detect lowering of driver attentiveness and a method for alerting and to forewarn the driver. In this detection approach, we developed an android app that utilizes image processing technology and analyse all the images captured through the user’s phone camera. Drop of alertness is detected based on the degree to which the driver's eyes are open or closed. This application provides a non-contact method for judging various levels of driver awareness and enables an early detection of a reduction in attentiveness while driving. Keywords: Drowsiness Detection, Google vision API, Face detection, Eye Detection, Android application