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Smart Alert System for Driver’s Drowsiness Detection System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 24 |
| Year of Publication: 2022 |
| Authors: Sharath Kumar A.J., Sanjana P., Sanjay N., Sanjay K.Y., Shreya U. Kodgi |
10.5120/ijca2022922282
|
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
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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