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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM15803

IoT Based Advanced Accident Detection, Alert and Prevention System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM15803

Volume:

6 |

7 |

Jul 2022

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

MLU

Meena L U

RMR

Rakshitha M R

SJK

Sahana J K

SR

Sahana R

RPS

Rekha P S

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Abstract

In the current day-to-day life, the rapid increase in the accidents can be seen. There is an increase in vehicles usage, due to increase in employment. This has led to the occurrence of accidents. Nowadays, due to high speed, the lives of the people are under risk, because of unavailability of immediate medical assistance. An alert system for detecting vehicle accidents has been introduced to reduce the rate of accident in our country. The motto is to send the message and location to the registered mobile number when the accidents takes place. This will happen with the help of Node MCU module. Mem sensor, the device which is used to detect the accidents in the proposed module. In case of remote areas where there is no availability of network, buzzer and indicators works as indication of an accident. The amount of alcohol consumed by the driver can be detected with the help of gas sensor. Since it detects the presence of alcohol from the person’s breath, it is known as breath analyser. In addition to this, heart rate sensor and temperature sensor (LM35) are used to monitor the victim’s health condition

KEYWORDS

IoT node mcu accelerometer accident detection Bluetooth alert system android application.

Cite This Article

Meena L U, Rakshitha M R, Sahana J K, Sahana R, Rekha P S, "IoT Based Advanced Accident Detection, Alert and Prevention System," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 7, Jul 2022.

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Publication Date

7/23/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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3

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5

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Conflict of Interest

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

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No funding information available for this research.

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