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http://dx.doi.org/10.7471/ikeee.2018.22.1.156

A Smart Refrigerator System based on Internet of Things  

Kim, Hanjin (Dept. of Computer Science and Engineering, Koreatech University)
Lee, Seunggi (Dept. of Computer Science and Engineering, Koreatech University)
Kim, Won-Tae (Dept. of Computer Science and Engineering, Koreatech University)
Publication Information
Journal of IKEEE / v.22, no.1, 2018 , pp. 156-161 More about this Journal
Abstract
Recently, as the population rapidly increases, food shortages and waste are emerging serious problem. In order to solve this problem, various countries and enterprises are trying research and product development such as a study of consumers' purchasing patterns of food and a development of smart refrigerator using IoT technology. However, the smart refrigerators which currently sold have high price issue and another waste due to malfunction and breakage by complicated configurations. In this paper, we proposed a low-cost smart refrigerator system based on IoT for solving the problem and efficient management of ingredients. The system recognizes and registers ingredients through QR code, image recognition, and speech recognition, and can provide various services of the smart refrigerator. In order to improve an accuracy of image recognition, we used a model using a deep learning algorithm and proved that it is possible to register ingredients accurately.
Keywords
Internet of Things; Deep learning; Refrigerator; Smart system; Smart home; Artificial Intelligence; Convolution Neural Network (CNN);
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