Open AccessSmart 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.