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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29146

Vehicle Theft Intimation and Accident Detection through SMS Using IOT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29146

Volume:

8 |

3 |

Mar 2024

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

D

D.Sudheer

PS

Pulamarasetti Shankar

BPK

Bhogapurapu Pavan Krishna

SPM

Sonu Priya Majji

MS

Mahanthi Srikanth

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Abstract

Vehicle theft is a common problem due to which people have lost their vehicles, faced many difficulties to find them, and sometimes failed even after a lot of struggles. To overcome this problem, we introduce the “VEHICLE THEFT INTIMATION ACCIDENT DETECTION THROUGH SMS USING IOT” with which we can find the vehicles which were either theft or met with an accident without any strenuous efforts. A using NODE MCU, MotorL289N, KEY SYSTEM and GPS module it is made easy to identify and track the vehicle. This project aims to authenticate and inform the details of the vehicle to the owner through SMS. If the owner is known by that person he can give access through a return reply- motor on otherwise he can turn off the engine by replying –motor off. This is possible using Authenticator App . If the vehicle is theft by any chance, we can detect the vehicle using a GPS where it is placed in the device. By this GPS, the owner can also trace the location of the vehicle in terms of latitude and longitude using GPS.

KEYWORDS

Node Mcu GPS module MotorL289N Key System.

Cite This Article

D.Sudheer, Pulamarasetti Shankar, Bhogapurapu Pavan Krishna, Sonu Priya Majji, Mahanthi Srikanth, "Vehicle Theft Intimation and Accident Detection through SMS Using IOT," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024.

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Publication Date

12/31/45359

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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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