THE DRIVER DROWSINESS DETECTION AND ALERT SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

This research aims to: 1) to study the driver drowsiness detection and warning system using the Internet of Things technology, 2) to design and develop the driver drowsiness detection and warning system using the Internet of Things technology, and 3) to test and evaluate the efficiency of the driver drowsiness detection and warningSumran Chaikhamwang, Tulsit Darasawang, Rungrot Sukjaimuk, Thidalak Yuyen, Anusorn Chaikaew https://iaeme.com/Home/

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Publication Details

Published
2025-04-09
DOI
https://doi.org/10.34218/ijids_03_01_001
Citations
1
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
2.12
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article

THE DRIVER DROWSINESS DETECTION AND ALERT SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

Sumran Chaikhamwang, Anusorn Chaikaew, Thidalak Yuyen, Rungrot Sukjaimuk et al.
1 citations
Sleep and Work-Related Fatigue
2.12
article

THE DRIVER DROWSINESS DETECTION AND ALERT SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY

Sumran Chaikhamwang, Anusorn Chaikaew, Thidalak Yuyen, Rungrot Sukjaimuk, Tulsit Darasawang
article en
1 citations

Abstract

This research aims to: 1) to study the driver drowsiness detection and warning system using the Internet of Things technology, 2) to design and develop the driver drowsiness detection and warning system using the Internet of Things technology, and 3) to test and evaluate the efficiency of the driver drowsiness detection and warningSumran Chaikhamwang, Tulsit Darasawang, Rungrot Sukjaimuk, Thidalak Yuyen, Anusorn Chaikaew https://iaeme.com/Home/

Vol. 3(1)
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Openalex Percentile: Top 15%
Sleep and Work-Related Fatigue
2.12
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THE DRIVER DROWSINESS DETECTION AND ALERT SYSTEM USING INTERNET OF THINGS (IOT) TECHNOLOGY — Sumran Chaikhamwang, Anusorn Chaikaew, et al. · (2025) | TGRS Research Map | TGRS