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 |
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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
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.