Android OpenCV based effective driver fatigue and distraction monitoring system

Driver fatigue and distraction during travel are the major causes for the road accidents. Many driver monitoring systems have been proposed in recent years for monitoring driver activities to avoid accidents. Most of the existing systems are in the form of specialized embedded hardware, majorly present in luxurious vehicles. This paper presents an effective driver fatigue and distraction monitoring system for Android Automobiles. An intelligent system for monitoring driver fatigue and distraction during travel using Adaptive Template Matching and Adaptive Boosting is designed and implemented here. A novel approach of detecting eye rub due to irritation in eye and yawning detection through intensity sum of facial region is also proposed. Experiments are conducted using android OpenCV which can be installed in low cost smart phones as well as in Android Auto. Experiment results shows that a high accuracy of driver distraction is detected in different vehicles and camera locations.