A Conceptual AI-System Model for Home Automation and Smart Monitoring Based on Vision
Edwin S Soji1, T. Kamalakannan2
1Mr Edwin S Soji, Research Scholar in the Department of Computer Science, VISTAS (Vels Institute of Science, Technology & Advanced Studies), Chennai, India.
2Dr T. Kamalakannan, Associate Professor and Head of the Department of IT, School of Computing Science, VISTAS (Vels Institute of Science, Technology & Advanced Studies), Chennai, India.
Manuscript received on 17 August 2019 | Revised Manuscript received on 23 August 2019 | Manuscript published on 30 August 2019 | PP: 3099-3102 | Volume-8 Issue-10, August 2019 | Retrieval Number: J96280881019/2019©BEIESP | DOI: 10.35940/ijitee.J9628.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Home automation is a rapidly increasing developmental area in the terribly present days attributable to the higher rate of affordability and ease. It provides the potential of controlling our homes and having the sides retort to events that are managed mechanically, it has become an extremely popular attribute due to its safety functions and reasons of value. We projected a model to introduce the whole automation of our house with a security system for our household. The ideal concept of this project is to ascertain an answer that can be achieved within a minimal budget. We got so used off shelf elements aspect that the amount reduced drastically. This study conjointly discusses the chosen literature, fashionable datasets, and concludes with the challenges within the domain at the side of a future direction. The main conceptual focus of this paper is to pose a system based design that demonstrates the interfacing between MATLAB with camera and Arduino board for observation and management of household instruments. In the projected system, Arduino board is interfaced with MATLAB victimization serial communication to regulate home appliances. Image acquisition device is interfaced to MATLAB which will ceaselessly show the status of the different type of household equipment on the Graphical computer program [GUI] designed in MATLAB. When the correct commands are dispatched from the MATLAB user interface, the corresponding household equipment is turned ON/OFF which are interfaced to Arduino through relay board. The system conjointly sends alert messages or signals if any abnormality is detected in the associate degree. The human motion recognition domain has been active for quite 20 years and has provided an oversized quantity of literature.
Keywords: Home Automation, Household Equipment, Human Motion Recognition, MATLAB, IoT.
Scope of the Article: Health Monitoring and Life Prediction of Structures