A systematic review on detection and prediction of driver drowsiness

Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents, which can result in fatalities, serious physical losses, large monetary losses, and significant property damage. Drowsiness in a driver can be brought on by long hours behind the wheel, drowsiness, fatigue, medicine, difficulty sleeping, and medical illnesses. A dependable technology that can identify driver drowsiness and warn the driver before an accident occurs is needed, according to statistics from several research. Many studies have been conducted in the previous to develop a reliable driver drowsiness detection and prediction system that uses a variety of parameters to gauge the driver's level of drowsiness. In this study, we analyzed the numerous measurements made by researchers, which were…