Research Article
Smart Alert System for Driver’s Drowsiness Detection System
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 184 - Issue 24 |
| Published: Aug 2022 |
| Authors: Sharath Kumar A.J., Sanjana P., Sanjay N., Sanjay K.Y., Shreya U. Kodgi |
10.5120/ijca2022922282
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Sharath Kumar A.J., Sanjana P., Sanjay N., Sanjay K.Y., Shreya U. Kodgi . Smart Alert System for Driver’s Drowsiness Detection System. International Journal of Computer Applications. 184, 24 (Aug 2022), 21-26. DOI=10.5120/ijca2022922282
@article{ 10.5120/ijca2022922282,
author = { Sharath Kumar A.J.,Sanjana P.,Sanjay N.,Sanjay K.Y.,Shreya U. Kodgi },
title = { Smart Alert System for Driver’s Drowsiness Detection System },
journal = { International Journal of Computer Applications },
year = { 2022 },
volume = { 184 },
number = { 24 },
pages = { 21-26 },
doi = { 10.5120/ijca2022922282 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2022
%A Sharath Kumar A.J.
%A Sanjana P.
%A Sanjay N.
%A Sanjay K.Y.
%A Shreya U. Kodgi
%T Smart Alert System for Driver’s Drowsiness Detection System%T
%J International Journal of Computer Applications
%V 184
%N 24
%P 21-26
%R 10.5120/ijca2022922282
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In recent years, the detection of a sleepy driver has become a necessary procedure in order to prevent any roadaccidents, possibly globally. This project’s purpose is to develop a comprehensive warning system for intelligent cars that can automatically prevent damage caused by a tired driver from occurring. The human body is capable of drowsiness, and it occurs for a variety of causes. In order to avoid the cause of the accident, it is vital to create a powerful warning system.Video Stream Processing (VSP) is used in this study to construct a drowsy driver warning system that uses the EAR and Euclidean distance to evaluate video streams in the blink of an eye. Adoption of a facial recognition algorithm can be detected visually as well. Any time the IoT module detects driver fatigue, a warning message is sent out, along with information on the conflicting impact of local knowledge.
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