DRIVER DROWSINESS DETECTION SYSTEM USING RASPBERRY PI

Abstract

This proposed system is aimed at driver and road safety systems. The use of computer vision techniques allows for the extraction
of the driver's face from a color video captured inside the car. After that, we need to locate the driver's eyes using face detection.  based on these. With the goal of setting off alerts, the tracking eye takes pictures for the purpose of detecting drowsiness. The
proposed approach consists of three steps: recognizing faces, detecting eyes, and determining drowsiness. Image processing
has to recognize the driver's face and then capture a picture of their eyes before it can determine whether they are fatigued. The
Haar face identification method takes the image frames as input and outputs the detected face. This approach is cost- effective and has the potential to increase transportation safety by reducing the frequency of incidents caused by sleepy
drivers.