Driver Drowsiness Detection Using Artificial Intelligence and Machine Learning

Abstract

Drowsiness greatly contributes to the prevalence of road accidents where drivers can get injured or lose their lives. This paper provides a solution to the driving drowsiness issue with the Driver Drowsiness Detection System which tracks a driver's alertness levels to provide warnings when needed. The detection system captures the driver’s eye movements, blinking frequency, and head tilting angles through a camera placed on the front dashboard and analyzes them using computer vision techniques. Drowsiness levels are detected using drowsiness detection algorithms or existing frameworks through input signals from the camera. Once the driver exhibits signs of fatigue, the system alerts the driver using visual or audio signals to allow the driver to act upon it. The system is developed with a preventative measure against accidents to improve safety on roads and reduce the number of accidents related to driver exhaustion.