Smart Intruder Detection System with OpenCV and Python | Zendy

P. Bhanu Teja | Zendy; Prashant Kumar | Zendy; N. Dileep Reddy | Zendy

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Smart Intruder Detection System with OpenCV and Python

Author(s) -

P. Bhanu Teja,

Prashant Kumar,

N. Dileep Reddy

Publication year - 2021

Publication title -

international journal of computer applications technology and research

Language(s) - English

Resource type - Journals

ISSN - 2319-8656

DOI - 10.7753/ijcatr1006.1008

Subject(s) - computer science , python (programming language) , smart phone , computer security , phone , mobile phone , human–computer interaction , artificial intelligence , operating system , telecommunications , philosophy , linguistics

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.

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