UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 4 | April 2024

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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204708


Registration ID:
401245

Page Number

h72-h75

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Title

VEHICLE ACCIDENT DETECTION

Abstract

The accident vehicle system is the combination of the Global Positioning System (GPS) and the Global System Mobile communication (GSM) technologies via the microcontroller. It is used to detect the location of vehicle accident to which it is attached. The designed system make use by linking smartphone messaging service with arduino nano. GPS is a satellite-based navigation technology that provides accurate location and information . The transmission and receiving process from the location is done by GSM module. Data is received on GPS receiver from numerous satellites which are located in the atmosphere in the form of National Marine Electronics Association (NMEA) protocol . The SMS contains coordinates of longitudes and latitudes of the location of accidents. The National Marine Electronics Association code contain information. Arduino is connected to the GPS and the GSM module in the successive inter-connection. The GPS receiver sends data to Arduino. Then , arduino give command to the GSM module which send the coordinates to the device in the form of SMS. Thus by using this proposed system we can easily detect the accident location so that help can be reached in short duration of time.

Key Words

GSM module , GPS , Arduino Nano.

Cite This Article

"VEHICLE ACCIDENT DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h72-h75, April-2022, Available :http://www.jetir.org/papers/JETIR2204708.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"VEHICLE ACCIDENT DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph72-h75, April-2022, Available at : http://www.jetir.org/papers/JETIR2204708.pdf

Publication Details

Published Paper ID: JETIR2204708
Registration ID: 401245
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: h72-h75
Country: ALLAHABAD, UTTAR PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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