Driver Drowsiness Detection System Using Machine Learning

Drowsy driving is one of the leading causes traffic accidents all over world. Driving in a monotonous manner for an extended amount time without stopping tiredness and catastrophic accidents. Drowsiness has potential to ruin many people’s lives. As result, real-time system that simple create configure early accurate sleepiness detection required. In this study, vision-based called Driver Detection System been developed utilizing machine learning. Haar Cascade classifier was used recognize driver’s face characteristics functions present OpenCV library detect region face. The following step examine open/close state eyes, followed by sluggishness depending on sequence ocular conditions. non-intrusive cost-effective nature driver its distinguishing attribute.