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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43443

Avoiding Vehicle Accident by Using Internet of Things

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43443

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43443

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

2GV

2G. Gowtham Varma

1s

1Noorulla shaik

3MKD

3DR.G. M. Karpura Dheepan

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Abstract

Our project will offer the best way to address this disadvantage. According to this concept, a vibration sensor will detect the signal as soon as a car collides with something or rolls over, and it will then transmit that signal to the Nodemcu controller. The Nodemcu Microcontroller detects alcohol, monitors eye blinks, and sends alert messages via the Internet of Things, including the position to a rescue squad or police control room. In order for the police to take the appropriate action, they must first confirm the location. To save the medical rescue team’s precious time, the driver can turn off the alert message if there is a minor collision or if there is no imminent threat to anyone’s life. Through the employment of both vibration sensors, alcohol detection content, and eye blink tracking, this article helps to accurately detect accidents.

KEYWORDS

GSM SMS Embedded C NodeMCU Alcohol sensor Vibration sensor Eye Blink sensor.

Cite This Article

2G. Gowtham Varma, 1Noorulla shaik, 3DR.G. M. Karpura Dheepan, "Avoiding Vehicle Accident by Using Internet of Things," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43443

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Publication Date

3/31/2025

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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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