Driver Drowsiness Detection

Developed a computer vision system that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy. - Detected facial marks using convex hull trick and checked Eye Aspect Ratio, yawning, head angle to determine the drowsiness. - Also developed an ML model for the same.