Smart Home Automation System
- June 17, 2019
- Posted by: RSIS
- Categories: Electrical and Electronics Engineering, Electronics & Communication Engineering
International Journal of Research and Scientific Innovation (IJRSI) | Volume VI, Issue VI, June 2019 | ISSN 2321–2705
Manikantha K1, Pradyumna G2, P.B Rahul Choudhary3, Rahul Niranjan4, Pradhan B Suresh5
1,2,3,4,5Dept of Computer Science, B N M Institute of Technology, India
Abstract—Due to the increasing number of systems getting automated, a home automation system is being designed here.The Smart Home Automation System is being designed keeping in mind the necessity to eliminate the need for any kind of human interference that is required to operate the home appliances. In order to provide automation, a lot of factors need to be considered such as, human presence, current temperature, the state of the electrical appliances, the time of the day and the user activity. The system must also be able to monitor the user activity on a regular basis and learn in the process. Thus, enabling the system to respond intelligently and provide better user experience. By training the system with some test cases, the system can map the user activity to the above mentioned factors. The system learns from these test cases and can predict the next activity by matching the current activity to the previous scenarios. The system then responds accordingly, by giving the expected result.
I. INTRODUCTION
We are living in the world of automation where most of the systems are getting automated, such as industrial automation, homes and other business sectors. Home automation systems are advancement to the mechanization processes wherein human efforts are needed with the machinery equipments to operate various loads in homes. It involves automatic controlling of home appliances using different technologies and controllers over desktops, laptops smart phones or tablets.Machine learning is a concept which involves the system learning over time. The use of machine learning in this system is the sole reason why the system is superior to the existing systems. The minimized number of wires and connected
devices ensures that there is a hassle free system which benefits the end user in all possible aspects. This concept of using machine learning in order to design a home automation system is something that has not been attempted before and the success of this project may lead the way to new openings in the existing market.
