Survey on Driver’s Drowsiness Monitoring System Using Visual Behavior

Abstract

The one of the main factors contributing to traffic accidents is tired riding. Accident rates can be lowered if the driver's drowsiness can be identified early on and detected, as well as if the driver is made aware of it. This study proposes a machine learning-based driver sleepiness detection system. The primary goal of this research is to develop a drowsiness system that is based on the eyes. It is thought that it is possible to identify the signs of driver weariness early enough to prevent a collision. In this scenario, a warning signal is sent to the driver when drowsiness is discovered. A notification message is issued to the driver when weariness is identified. If a driver ignores the Alarm and eventually stops the car, the device also has the added feature of slowing down the car