Design and implementation of a driver drowsiness detection system: A practical approach

Abstract

This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver's face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.