Drowsiness detection system
Author(s):
Priyanka Andhavarapu, Gudla Likitha, Gujju Priya Devi, Sampathirao Sai Kiran, Dr.CH.Ramesh
Keywords:
Open CV ,Haar cascade classifiers, Blink rate.
Abstract
Drowsiness detection is a safety technology that can help drivers avoid accidents caused by falling asleep while driving. One of the potential applications of intelligent car systems is drowsy driver detection. Drowsiness detection mostly relies on assumptions about blink rate and ocular closure. We use machine learning to identify genuine human behaviour during sleepiness episodes in our study. We'll use OpenCV in this Python project to collect photos from a camera and feed them into a Deep Learning model that will classify whether the person's eyes are 'Open' or 'Closed.' A convolutional neural network is a sort of deep neural network that excels at picture classification
Article Details
Unique Paper ID: 155770

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 1732 - 1735
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