UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2304C72


Registration ID:
514256

Page Number

m558-m563

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Title

IoT-BASED THEFT DETECTION USING RASPBERRY PI

Abstract

For urban inhabitants, security and safety have always been a must. CCTV cameras are used to monitor and detect things. Because of the usage of a computer, CCTV cameras are expensive for surveillance. It takes up far too much space for continuous recording, and it also necessitates the use of labor to detect illicit activity. To solve the problem, we used Raspberry PI and IoT. In comparison to existing systems, the Raspberry Pi is significantly less expensive, has a higher resolution, and uses less power. We use image processing on live video to detect theft using motion and also highlight the area where motion occurred in this project "IOT-based theft detection project using Raspberry Pi," in which we use image processing on live video to detect theft using motion and also highlight the area where motion occurred. We use a camera, a Raspberry Pi, and storage in this system. When a camera detects motion, the system employs image processing to pinpoint the exact location of the motion and highlights it. The technology now sends photographs of the occurrence to the user's computer via IoT, where they may be seen online. It also saves the video to a USB device for later use. The user can now decode data transmitted over the internet via IoT, and use the IoT system to view photographs of motion occurrences live over the internet. Asa result, the system offers a novel method for IoT-based Theft Detection.

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"IoT-BASED THEFT DETECTION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.m558-m563, April-2023, Available :http://www.jetir.org/papers/JETIR2304C72.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.10, Issue 4, page no. ppm558-m563, April-2023, Available at : http://www.jetir.org/papers/JETIR2304C72.pdf

Publication Details

Published Paper ID: JETIR2304C72
Registration ID: 514256
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: m558-m563
Country: SPSR Nellore, Andhra pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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