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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Latest Publication

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies