Prediction of drowsy driver detection by using soft computing technique

Abstract

This study describes a program based on changes in facial expressions for automatic drowsy drivers and accident prevention. The main reason for road accidents might be due to the number of driving years. Review of face expression will include the driver's somnolence assessment to make the driver cautious. The study therefore outlines the approach to understanding drowsiness in automobiles. We achieve our methodology by taking a face picture of the driver, by searching for the facial features by handling images and using the hybrid technique to analyze the driver's drowsiness level.