IoT-Based Smart And Healthy Wardrobe System

PRAKASA, FEDELIS BRIAN PUTRA and Maiga, J. and Suyoto, . (2019) IoT-Based Smart And Healthy Wardrobe System. In: International Conference of Artificial Intelligence and Information Technology 2019 (ICAIIT), 13-15 March 2019, Yogyakarta, Indonesia.

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Abstract

Having favorite clothes to last long is the desire of everyone to be able to perform optimally in public with these clothes. This is inseparable from how to store clothes and the surrounding factors can affect the quality of clothing. Air quality, especially humidity and temperature are factors that can affect the quality of clothing stored in a wardrobe. High humidity can affect clothes, it can make mold grow in clothes. The air quality needs to be considered and maintained so that conditions become optimal. This is easier to do automatically and can be monitored regularly using a mobile device. Therefore, this paper will make a system model using the IoT concept. The method used is combining 6 Arduino sensors. Those sensors will trigger dehumidifier, humidifier, and air purifier to maintain air quality. Another function that can help users choose their clothing is to use color recognition, which uses the color sensor to detect clothing colors. With the on-going research of these systems, it is expected that clothes can be more durable and healthy because they are free from mold, also it makes easier for users to choose their clothes.

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