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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 10 Issue 6 ijcatr10061008

IJCATR Volume 10 Issue 6

Smart Intruder Detection System with OpenCV and Python

P. Bhanu Teja, P. Sandeep Kumar, N. Dileep Reddy
10.7753/IJCATR1006.1008
keywords : OpenCV, Twilio API, Python, IP camera, Background Subtraction.

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Thefts have been on the rise in recent years. This produces a dangerous climate in which people live in terror. In today's environment, the problem of home security is a source of anxiety. The standard intruder detection systems that we currently use are extremely expensive, and there is a risk of false alerts. This issue is solved by combining OpenCV and a mobile phone to create a framework that can accurately recognize a interloper while filtrating the movements caused by objects which are moving. If an interloper is identified, the system sends a message to the user via an API called Twilio, and the footage is saved to the local storage.
@artical{p1062021ijcatr10061008,
Title = "Smart Intruder Detection System with OpenCV and Python",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "10",
Issue ="6",
Pages ="178 - 182",
Year = "2021",
Authors ="P. Bhanu Teja, P. Sandeep Kumar, N. Dileep Reddy"}
  • The paper proposes a low-cost surveillance system using phone.
  • Background subtraction-based motion detector is used for the identification of the intruder.
  • Usage of a Messaging API to alert the Owner.
  • The model uses two major functions responsible for the stimuli and response.
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