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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM14232

Smart Intrusion Detection System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM14232

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

PN

P.R. Nargelekar

JM

J.S. Morbale

MAK

Md. Atif Khan

SS

Shrishti Singh

SD

Souvik De

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Abstract

In recent times there is an increase in thefts. This creates an unpleasant environment for people to live. The problem with home security in the modern world is a cause for concern. The concerns found with former systems were that they can only identify the intruder after the theft. The proposed methodology aims to design an implementable surveillance and detection tool for providing a home owner/member with the immediate notification of unauthorized access to their premises. The fundamental idea was to design a cost-effective and efficient system for an individual to be able to detect any kind of intrusion in real-time and provide instant notification to the house owner. The images that were acquired through live video feed and analysed through frame comparisons and then process to detect an intruder.

KEYWORDS

Image Processing IoT Intrusion Detection Raspberry Pi Zero Python

Cite This Article

P.R. Nargelekar, J.S. Morbale, Md. Atif Khan, Shrishti Singh, Souvik De, "Smart Intrusion Detection System," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

5/5/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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