IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: IOT BASED POWER THEFT DETECTION
Authors Name: P. Ajay Sai , Dr. A. Rajasekaran , P.Bhanu Teja , P.G.S Swetha Priya
Unique Id: IJSDR2003046
Published In: Volume 5 Issue 3, March-2020
Abstract: Science, and technology with its miraculous advancements fascinated human life to an honest extent that will imagine a world without these innovations is hardly possible. While technology is on the raising slope, we should always also note increasing immoral activities. With a technical view, "Power Theft" is also a non-ignorable crime that's highly prevalent, and at the same time, it directly affects the economy of a nation. Detecting and eradicating such crimes with the help of the developing scientific field is that the "Need of the Hour". With these views the was paper conceived and designed. Our paper provides an entire and comprehensive tool to stop power theft which is extremely simple to understand and easy to implement. It includes some sections -transmitting, receiving, and processing sections. the most objective of this project is to point power theft to the electricity board. It's carried over through embedded technology. Here a wireless method is utilized to hunt out electrical theft.
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Cite Article: "IOT BASED POWER THEFT DETECTION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 3, page no.249 - 253, March-2020, Available :http://www.ijsdr.org/papers/IJSDR2003046.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2003046
Registration ID:191480
Published In: Volume 5 Issue 3, March-2020
DOI (Digital Object Identifier):
Page No: 249 - 253
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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