This document describes a driver drowsiness detection system using a webcam. It introduces the project objectives of studying eye and mouth movements from video images to detect fatigue and drowsiness. The scope of study involves detecting drowsiness from eye blinks, pupil area, and yawning. It outlines the Python programming language, OpenCV library, and machine learning algorithms like EAR detection that will be used. Future enhancements may include time-of-day analysis and reaction time monitoring to make alerts more timely.