Drowsy Driver Alert System
abstract :
Drowsiness detection is a safety
technology that can prevent accidents that are caused by drivers who fell
asleep while driving.
The objective of this intermediate
Python project is to build a drowsiness detection system that will detect that
a person’s eyes are closed for a few seconds. This system will alert the driver
when drowsiness is detected.
In this Python project, we will be using OpenCV for gathering
the images from webcam and feed them into a Deep Learning model
which will classify whether the person’s eyes are ‘Open’ or ‘Closed’. The
approach we will be using for this Python project is as follows :
Step 1 – Take image as input from a camera.
Step 2 – Detect the face in the image and create
a Region of Interest (ROI).
Step 3 – Detect the eyes from ROI and feed it to
the classifier.
Step 4 – Classifier will categorize whether eyes are open or
closed.
Step 5 – Calculate score to check whether the person is drowsy.
output screens :
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