Driver Drowsiness Detection System using Vision and Facial Expressions

This research investigates the detection of driver drowsiness through the utilization of vision and facial expressions, utilizing Python and OpenCV.The primary goal of the system is to enhance road safety by continuously monitoring a driver's attentiveness and providing alerts in the presence of indicators of drowsiness or distraction.Key features of the system involve the analysis of facial expressions, including head movement, yawning, and eye blinks.Additionally, a distinctive element is integrated into the system, triggering an alarm if the driver operates the vehicle continuously for more than two hours, emphasizing the significance of taking breaks for the driver's well-being.