Towards detection of bus driver fatigue based on robust visual analysis of eye state

Abstract

In this framework, we proposed to decrease the number of accidents brought about by driver weakness and
hence improve street wellbeing. This framework treats the programmed location of driver sleepiness dependent on visual
data and man-made reasoning. We find, track and dissect both the driver face and eyes to gauge drivers sluggishness
utilizing Euclidean calculation. Driver's laziness is one of the primary driver of mishaps, especially for drivers utilizing
enormous vehicles, (for example, transports and substantial trucks) because of delayed driving periods and fatigue in
involved conditions.