Smart Home Automation in Air Conditioning using Data Mining and Image Processing

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2018 by IJETT Journal
Volume-57 Number-2
Year of Publication : 2018
Authors : Ishaan Arora, Vanmathi C
DOI :  10.14445/22315381/IJETT-V57P217


Ishaan Arora, Vanmathi C "Smart Home Automation in Air Conditioning using Data Mining and Image Processing", International Journal of Engineering Trends and Technology (IJETT), V57(2),81-84 March 2018. ISSN:2231-5381. published by seventh sense research group

Any machine as we know is something that decreases human effort and increases comfort. Technology has been embedding into our daily usage appliances for a decent time now. We are surrounded by a number of intelligent systems who have been in a continuous run to increase our comfort using the best technologies available. Smart Home automation in one of the major milestones now in the field of bringing the technology to our homes . Home automation is building computerization for a home, called a smart house. It includes the control and automation of lighting, warming, (for example, smart indoor regulators), ventilation, cooling ,and security, and additionally home apparatuses, for example, washer/dryers, broilers or iceboxes/freezers. Wi-Fi is regularly utilized for remote observing and control. Home gadgets, when remotely checked and controlled by means of the Internet, are a vital constituent of the Internet of Things. Current frameworks by and large comprise of switches and sensors associated with a central hub from which the overall functioning is controlled with a UI that is cooperated either with a cell phone software, tablet PC , a web interface, regularly however not generally by means of cloud computing. In this paper we discuss about making a daily use appliance intelligent so it takes its decision and acts accordingly. The goal of the paper is to make the air conditioner set the appropriate temperature depending the need of user or users that are currently utilizing the service . The paper relies on data to take its necessary decision depending on 8 attributes like room temperature , weather , time of day and various such attributes and depending on various inputs given by the user in the past which are stored as datasets and then used for decision making in the future . While there are factors or attributes that can be easily observed recorded there are attributes which might need an embedding of a separate technology to bring out desiring results and make the technology or proposed concept even better . For the same we wish to add object recognition technology into it to take its decision more effectively and bring out better results. Survey was carried out to collect large amount of data for analysis. On analyzing the given data 8 factors were found to be contributing towards the result. Data was further analyzed through various algorithms to check the result through various aspects. Among the various algorithms, the most accurate algorithm was selected. Selected Algorithm is further coded in python.

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Machine Learning, RapidMiner, Classification, Decision Tree , Naive Bayes, Image Processing