Fatigue Detection System For The Drivers Using Video Analysis Of Facial Expressions

Tiredness, and sleeping of the drivers while driving is one of the main causes of traffic accidents. Observations of the drivers to detect tiredness and fatigue is a complex task which includes behavioral and physical elements. Different approaches were made, including computer vision with the ability to track and monitor the drivers behind the wheel without the intervention in the driving. The proposed system can observe the alertness or tiredness of drivers in order to prevent them from sleeping while driving. In this work, a framework is developed to detect the fatigue-ness from tracking the cornea of eyes by focusing on the face of the driver. It utilizes applying image morphological changes like dilution, erosion, image segmentation like background elimination and Circular Hough Transform (CHT) to detect cornea of an eye on the captured images on drivers. Whenever the fatigue is recognized it will buzz an alarm at the system and necessary actions can be taken. It additionally decreases incorrect outcomes of by disposing of low-quality faces that happened to a video sequence because of issues in sensible lighting, head movement, and posture variety.