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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM36073

Driver Sleep Detection and Alarming System using IoT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM36073

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AS

Anuruthya S.S

A

Athulya

DR

Deepika R.M

TK

Tamilarasi K

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Abstract

This journal article presents a comprehensive study on the development and implementation of a Driver Sleep Detection and Alarming System (DSDAS) utilizing Internet of Things (IoT) technology. The system aims to address the critical issue of driver drowsiness, a leading cause of road accidents worldwide. By leveraging IoT devices, such as sensors and actuators, integrated with advanced algorithms, the DSDAS continuously monitors driver fatigue levels and alerts them in real-time, thus preventing potential accidents. This article discusses the system architecture, sensor deployment strategies, algorithm design, and performance evaluation, highlighting the effectiveness and potential impact of such systems in enhancing road safety. Because of its importance, a driver drowsiness detection machine will be a crucial software for device vision and picture processing. We use a Simple code in python to detect Drowsiness and Yawn and alert the user using Dlib. We advise and put into effect a hardware machine based totally on infrared light that can be used to solve those troubles in this project.

KEYWORDS

IoT (Internet of Things) DSDAS (Driver Sleep Detection and Alarming System) LDR (Light Dependent Resistor) LED (Light-Emitting Diode) GPS (Global Positioning System) Raspberry Twilio

Cite This Article

Anuruthya S.S, Athulya, Deepika R.M, Tamilarasi K, "Driver Sleep Detection and Alarming System using IoT," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024.

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Publication Date

6/24/2024

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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