Vision Based Drowsiness Detector for Real Driving Conditions

The objective of this project is to design an Accident Prevention System which supports in preventing or avoiding accidents. The driver is more disposed to accidents due to drowsiness and the disturbing intruders. Driver fatigue is one of the supreme common reasons for deadly road accidents around the world. This shows that in the transportation industry especially, where a driver of a heavy vehicle is often exposed to hours of monotonous driving which causes fatigue without frequent rest period. Driver inattention is one of the main causes of traffic accidents. Under this project we will develop a system using Python and Machine Learning that can monitor the alertness of drivers in order to prevent people from falling asleep at the wheel System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver later than fatigue has been detect to achieve decline in accident.