Abstract: Home automation is building a smart home which will monitor different attributes like light, temperature ,appliances ,entertainment unit and many more. This paper describes about home automation specialized in the field of the entertainment unit that is television. Our primary purpose here is that when a person comes in front of the television ,the television should be switched on and the desired channel which most probably the person would watch at that time will be displayed.
So, when a person comes in front of the television at a set distance the Passive Infrared (PIR) sensor which is used to detect motion detects the motion of the person and Pi camera recognizes the person’s face using computer vision, which is integrated with raspberry pi, and according to the algorithm used, the television is switched on and the preferred channel will be displayed on the television screen. The proposed system uses only PIR sensor, Pi camera and raspberry pi hence it is low cost. The proposed system mostly comes in handy to old and disabled people as they can just come in front of the television to watch their favourite show instead of doing everything manually.
Keywords: Home automation, Machine Learning, Computer Vision ,Television, PIR sensor, Pi Camera, Raspberry Pi.
Title: Home Automation using Machine Learning for Television
Author: Balu Anush A, Archana S Ajith, Buthalapalli Lohith Reddy, B Sai Rahul Reddy, Zafar Ali Khan
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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