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Paper Title : A Survey On Driver Drowsiness Detection System using Deep learning

ISSN : 2394-2231
Year of Publication : 2022

10.5281/zenodo.6380465
Authors: Soumya Agarwal, Dr. M.N Nachappa

MLA Style: A Survey On Driver Drowsiness Detection System using Deep learning " Soumya Agarwal, Dr. M.N Nachappa " Volume 9 - Issue 2 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: A Survey On Driver Drowsiness Detection System using Deep learning " Soumya Agarwal, Dr. M.N Nachappa " Volume 9 - Issue 2 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
Consistently many individuals lose their lives because of lethal street mishaps all throughout the planet and lazy driving is one of the essential drivers of street mishaps and demise. Because of this serious problem, I set out to develop a neural network that can detect if eyes are closed, and when applied in with computer vision, to detect if a live human has had their eyes closed for more than a second. This technology is useful for safety of drivers, reduce road accidents. Neural Networks are a promising area of AI model for diminishing mishaps because of tiredness. The model fabricated was solid and by enhancing the video input, this could possibly be utilized, in actuality, applications. All things considered, the current webcam application can caution the client actually and two or three milliseconds of arriving at the shut-eye time limit.

Reference
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Keywords
—Convolution neural network, deep learning, drowsiness, face detection, Neural Network, road accident, safety of drivers.

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