Prevention of Road Accident by Implementing the Driver Drowsiness Detection and Driver Alert System
TL;DR
This study presents a smart and flexible real-time vehicle safety prototype capable of detecting driver fatigue and implementing preventive measures before an accident happens, and tracks fatigue indicators using an eye-blink sensor built into spectacles.
Abstract
Nowadays, one of the main reasons for traffic accidents that result in fatalities, serious injuries, and large financial losses is driver fatigue. The challenge for researchers is to develop an accurate fatigue detection system that will maintain an eye on physical conditions and ensure that drivers are paying attention. This study presents a smart and flexible real-time vehicle safety prototype capable of detecting driver fatigue and implementing preventive measures before an accident happens. The suggested approach tracks fatigue indicators using an eye-blink sensor built into spectacles. When the system detects the driver’s tiredness, it swiftly stops the vehicle, triggers a buzzer, and displays a "Danger" notice to alert other drivers and passengers regarding the driver's status. Once the driver is back to normal, the system stops the alarm and permits the vehicle to safely resume movement. So, the accuracy of the system is more than 80%. The percentage of accuracy at night is more than at day light. The purpose of the system is not only to alert the driver and surrounding individuals but also to actively prevent accidents by controlling vehicle under fatigue conditions. This study aids in decreasing traffic accidents, boosting driver alertness, and improving overall road safety.