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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21735

Smart Accident Detection, Prevention and Reporting using Arduino

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21735

Volume:

7 |

5 |

May 2023

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

AA

Afsha Akkalkot

SG

Srujan Garde

KP

Kishori Patil

JA

Janhavi Asware

KP

Kapaleshwar Patil

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Abstract

Numerous people lose their lives in traffic accidents every day. In India, 4,80,652 traffic accidents resulted in a total of 1,51,113 fatalities in 2019. In terms of road accident deaths, India currently retains the top rank. Excessive speed was the primary cause of fatalities in road accidents. To save the lives of several injured accident victims, this is a serious problem that needs to be remedied. In order to address the ongoing challenges surrounding automobile accidents, various automobile companies have implemented a range of safety systems, including safety airbags, seat belts, camera sensors, and more. Despite these efforts, the root causes of accidents and their resulting effects have proven difficult to mitigate entirely. To tackle this persistent issue effectively, there is an urgent need for a comprehensive system that can automatically detect accidents as they occur. This system would play a crucial role in promptly communicating vital information about the accident and its precise location to both nearby hospitals and concerned relatives without any delays. When a car has an accident, the accelerometer immediately provides data to the Arduino, which then sends the alarm message through the GSM MODULE, including the location that is identified by the GPS MODULE, to recently saved crisis contacts.

KEYWORDS

Arduino Gas Sensor Eye Blink Sensor Accelerometer GSM & GPS Module Buzzer LED.

Cite This Article

Afsha Akkalkot, Srujan Garde, Kishori Patil, Janhavi Asware, Kapaleshwar Patil, "Smart Accident Detection, Prevention and Reporting using Arduino," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21735

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Publication Date

5/24/2023

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Double-Blind Peer Review

Review Rounds: 2

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

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