Driver Drowsiness Detection Using Open CV and DLIB

The driver drowsiness system is a concept that can be used to prevent accidents caused by drivers in sleepy or fatigued conditions. This paper aims to solve this problem by identifying the driver’s eye movements and yawning actions and providing a beep alert when the driver is detected to be drowsy. By using machine learning techniques and hardware components, we can minimize accidents caused by driver drowsiness.To prevent accidents, we need the driver to be awake. Inorder to wake up the driver a 15 second of continuous sound is played Considering all these features, the algorithm is chosen in such a way that the model provides decent accuracy.