Abstract:

Drowsiness is amongst the significant causes of road accidents. In today’s era, road accidents are one of India's most serious issues, resulting in human loss. This article proposes a Deep Learning For Monitoring Drivers Distraction From Physiological And Visual Signals with the help of computer vision and machine learning algorithms. The system detects the eye closure, yawning, head bending to identify the drowsiness or fatigue of the driver and make alterations accordingly. The proposed system uses simple and unimpaired methodologies for developing a low cost, accurate model for reducing road accidents and thereby saving human lives

Description:

Machine learning, Drowsiness detection, Face recognition, Alarm generation