SMART SWITCH INTELLIGENCE USING CLASSIFICATION AND CLUSTERING ALGORITHMS
Author(s): M. Ramasubramanian ,A. Gauthami Latha
J. Ponte - Mar 2020 - Volume 76 - Issue 3
doi: 10.21506/j.ponte.2020.3.6
Abstract:
To Control home machines we utilize Android device utilizing MQTT as communication protocol and Raspberry Pi as server framework. We make an easy to use interface for the android device that enables the client to communicate with the Raspberry Pi server. The server will be interfaced with a smart switch that controls and screens the apparatuses running in Home. The correspondence with server enables the client to choose the fitting device and communicates with the comparing smart switch. In an added advantage our system working in the absence of internet because of smart switches using wi fi. Another feature is Smart Switch Intelligence is to do the analysis of the data. Here need of machine learning to find out the insight of the data or analyse the data. By the data analysis alert the user to over usage of resources to be reduced. For home automation knowledge based systems can provide the base to store the user preferences and manage and control the home appliances. By this we propose a scalable and cost effective IOT based intelligent automation system. Our proposed system compared with Support Vector Machine and it proves its better performance than SVM.
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