Identification of Drowsiness in Drivers using OpenCV: A Robotic Automated Device

Unnatural deaths in the modern period are on the rise, although a large portion of them are caused on by the drunken drive and driver fatigue. It is extremely risky and causes car accidents and roadside injuries. The preventive Actions had been taken by using openCV technology i.e. Image Processing. This module is designed to stop avoidable fatalities from drunk driving-related accidents and tiresome of the driver. This module includes Node MCU, alcohol detection (MQ-3),MEMS sensor, web camera, buzzer, vibration motor, high intensity lamp and GSM. Many traffic accidents occur today as a result of drivers' lack of focus and alertness. We refer to this as driver sleepiness. This results in a variety of undesirable circumstances that negatively impact human life. The primary objectives of this study are to identify driver drowsiness and determine the best course of action. There are numerous techniques that depend on how the car is moving or how the driver is acting. One technique is the physiological method, which aids in keeping the driver awake and distracted from sleepiness.