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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1810382


Registration ID:
189333

Page Number

500-502

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Title

IOT BASED THEFT DETECTION USING RASPBERRY PI

Abstract

In reconnaissance, CCTV camera is expensive in light of the utilization of PC. It holds excessively space for keeps recording and furthermore expect labor to distinguish the unapproved Activity. In any case, stood out from the present system Raspberry pi structure is generously more affordable with better objectives and low power usage incorporate. Here An infrared sensor transmits with a specific genuine goal to recognize several sections of the advancement in condition. An IR sensor can gauge the warmth of a question and also recognizes the movement. This framework is reasonable for little close to home region observation. i.e. individual office lodge, bank locker room, stopping passageway. At whatever point the movement is identified through IR sensor inside the room the picture is caught through camera and incidentally put away in the raspberry pi module. Web of things based application can be used remotely to see the development and get sees when development is distinguished. System works standalone without the PC once programmed. One android Application is utilized to get the warning on movement discovery.

Key Words

IR sensor, raspberry pi module.

Cite This Article

"IOT BASED THEFT DETECTION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.500-502, October-2018, Available :http://www.jetir.org/papers/JETIR1810382.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 THEFT DETECTION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp500-502, October-2018, Available at : http://www.jetir.org/papers/JETIR1810382.pdf

Publication Details

Published Paper ID: JETIR1810382
Registration ID: 189333
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 500-502
Country: Chennai, Tamil nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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