This thesis explores the many protocols used in smart home and Internet of Things (IoT) technologies, offering a thorough examination of their fundamental ideas and features.
The goal of the study is to clarify the wide range of functions that smart homes may perform, with a focus on how these systems can be efficiently controlled and optimised to produce automated and more efficient living spaces. The study explores the interoperability of several IoT protocols and how they might be integrated to improve the functioning of smart homes.
The crucial component of home security—video surveillance systems in particular—is the subject of the thesis' second section. The technological developments in video surveillance are examined in this part, along with their uses and advantages for smart home security.
It contains a thorough examination of the planning and creation of a specialised application meant to improve home security. With the use of cutting-edge technologies like artificial intelligence and machine learning for facial recognition, this application is intended to offer strong security features that efficiently monitor and safeguard residential areas.
In addition, the thesis addresses potential problems including data privacy, system dependability, and user accessibility while examining the difficulties and solutions associated with putting these technologies into practice.
Through the integration of theoretical understanding and real-world implementation, this study aims to make a contribution to the field of smart home technology. It advances the state-of-the-art in smart home systems and related security mechanisms by providing insightful advice and workable solutions for maintaining and safeguarding contemporary living spaces.
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