DRIVER DROWSINESS DETECTION ALERTING USING IOT

Abstract

In recent years, detecting drowsy drivers has become a critical measure to prevent
road accidents globally. This study aims to develop a smart alert system for intelligent
vehicles that can automatically detect and mitigate the effects of driver drowsiness.
Since drowsiness is a natural condition influenced by various factors, it is essential to
design a robust alert mechanism to prevent accidents. This paper presents a drowsy
driver detection system that utilizes Video Stream Processing (VSP) to analyze eye
blinks through the Eye Aspect Ratio (EAR) and Euclidean distance of the eye. A face
landmark algorithm is employed for accurate eye detection. Upon detecting driver
fatigue, the IoT module sends a warning message with collision impact and location
information, while also issuing an alert via a voice command through the Raspberry
Pi monitoring system.