UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

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Published Paper ID:
JETIR2507677


Registration ID:
566013

Page Number

g548-g552

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Title

IOT BASED VEHICLE THEFT DETECTION AND ACCIDENT DETECTION USING GSM AND GPS

Abstract

Due to an exponential increase in vehicle traffic, maintaining a sufficient flow of traffic has become difficult, particularly in major metropolitan areas like Bengaluru and Chennai. Additionally, fuel consumption and transportation costs rise as a result of the higher traffic density. Traffic congestion is a major cause of road accidents that can result in fatalities or serious injuries to other road users. Vehicle theft is now a problem in many places, including parking lots and other unsecured areas. This paper aims to monitor and detect a stolen vehicle and an accident using the Global Positioning System (GPS) and Global System for Mobile Communication (GSM) along with an Arduino. The vehicle's location is tracked using latitude and longitude coordinates, and the owner of the vehicle or the traffic control room receives the information. The proposed system helps to reduce the time factor and identify the location of the vehicles faster. Using an Arduino Uno, a vibration sensor, a fire and alcohol sensor, a GPS module, a GSM module, a DC motor, and a motor driver, this paper simulates the detection of vehicle theft and accidents. If there is an accident/vehicle theft, the software module detects it based on the data collected from sensors and the GPS module. The location of the place will be sent to the relatives of the vehicle owner, traffic control room, or ambulance at hospitals to treat the victim in a short time with the GSM modules.

Key Words

IOT BASED VEHICLE THEFT DETECTION AND ACCIDENT DETECTION USING GSM AND GPS

Cite This Article

"IOT BASED VEHICLE THEFT DETECTION AND ACCIDENT DETECTION USING GSM AND GPS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.g548-g552, July-2025, Available :http://www.jetir.org/papers/JETIR2507677.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

"IOT BASED VEHICLE THEFT DETECTION AND ACCIDENT DETECTION USING GSM AND GPS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppg548-g552, July-2025, Available at : http://www.jetir.org/papers/JETIR2507677.pdf

Publication Details

Published Paper ID: JETIR2507677
Registration ID: 566013
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: g548-g552
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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