Driver Drowsiness Detection System Using Raspberry Pi

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• Create Date 9 May, 2025
• Last Updated 12 July, 2025

Authors : Raj Shimpi , Varsha Chaudhari, Prerna Patil, Bharti Narkhede, Dr Vijay D. Chaudhari, M. N. Patil
DOI : 10.46335/IJIES.2025.10.4.5

Abstract- Driver fatigue is one of the major causes of accidents in the world. In recent years driver fatigue is one of the major causes of vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver i.e. drowsiness. So it is very important to detect the drowsiness of the driver to save life and property. This project is aimed towards developing a prototype of drowsiness detection system.

This system is a real time system which captures image continuously and measures the state of the eye according to the specified algorithm and gives warning if required. Many of the accidents occur due to drowsiness of drivers. It is one of the critical causes of roadways accidents now-a-days. Latest statistics say that many of the accidents were caused because of drowsiness of drivers. Vehicle accidents due to drowsiness in drivers are causing death to thousands of lives. More than 30per accidents occur due to drowsiness. For the prevention of this, a system is required which detects the drowsiness and alerts the driver which saves the life. In this project, we present a scheme for driver drowsiness detection. In this, the driver is continuously monitored through webcam. This model uses image processing techniques which mainly focus on face and eyes of the driver. Raspberry-pi processor is used for image processing.