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  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM24202

VEHICLE ACCIDENT DETECTION AND REPORTING SYSTEM USING ARDUINO UNO, GPS, GSM, MEMS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM24202

Volume:

7 |

6 |

Jun 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

SSM

Sunil S. Mane

HSG

Harshada S. Gujar

MNM

Monali N. Mane

MAM

Madhuri A. Masugade

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Abstract

The rise of technology and infrastructure has made our lives easier. The entrance of technology has also increased the traffic business hazards and also the road accidents be constantly which causes huge loss of life and property due to the poor exigency installation. This design is a many system which is developed automatically to detect an accident and alert the closest exigency services. This fashion may detect the place of the accident so the medical services is directed incontinently towards it. The system comprises of MEMS,GPS,GSM GPS and GSM module support in transferring communication. GSM module sends the alert communication to mobile with unforeseen change within the axes of auto. Position of accident is consigned within the kind of Google chart link, deduced from the latitude and longitude from GPS module. Also after attesting the situation necessary action are going to be taken and this can help to achieve the deliverance service in time and save the precious motal life.

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Cite This Article

Sunil S. Mane, Harshada S. Gujar, Monali N. Mane, Madhuri A. Masugade, "VEHICLE ACCIDENT DETECTION AND REPORTING SYSTEM USING ARDUINO UNO, GPS, GSM, MEMS," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM24202

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Publication Date

6/29/2023

Peer Review Type

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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