Computer vision techniques for detection of physiological status eyes drivers

Abstract

In recent decades, the number of traffic accidents due to fatigue or drowsiness of the driver has caused significant human and material losses. This research proposes the development of a fatigue detection system for drivers that alerts them about their status while driving using computer vision and machine learning techniques. A dataset of frontal images focusing on the physiological characteristics of the eyes was used, obtaining promising preliminary results in real-time fatigue detection.