Security System for Smart Homes to Prevent Theft

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Author(s): Anitha Mary (Karunya University, India), P. Kingston Stanley (Karunya Institute of Technology and Sciences, India), V. Evelyn Brindha (Karunya Institute of Technology and Sciences, India)and J. Jency Joseph (Krishna College of Technology, India)
Copyright: 2024
Pages: 11
Source title: Multidisciplinary Applications of AI Robotics and Autonomous Systems
Source Author(s)/Editor(s): Tanupriya Choudhury (University of Petroleum and Energy Studies, Dehradun, India), Anitha Mary X. (Karunya Institute of Technology and Sciences, India), Subrata Chowdhury (Department of Computer Science and Machine Learning, Sreenivasa Institute of Technology and Management Studies, Chittoor, India), C. Karthik (Jyothi Engineering College, India)and C. Suganthi Evangeline (Sri Eshwar College of Engineering, India)
DOI: 10.4018/979-8-3693-5767-5.ch016

Keywords: Artificial Intelligence / Computer Science & IT / Engineering Science Reference / Robotics

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Abstract

The chapter intends to create a system that alerts the victim of theft in real time. The current system does not distinguish between people and objects; instead, it uses a methodology to identify the burglar after the theft has taken place. The internet of things and advancements in wireless sensor networks make it possible to create a smart, safe home that can detect burglars in real time and notify the homeowner while the theft is occurring. The suggested approach is better than the current ones that use CCTV cameras for surveillance.

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