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http://dx.doi.org/10.7471/ikeee.2020.24.1.302

Implementation of Monitoring System of the Living Waste based on Artificial Intelligence and IoT  

Kim, Sang-Hyun (Department Of Public Administration Jeju National University)
Kang, Young-Hoon (Department Of Public Administration Jeju National University)
Yoon, Dal-Hwan (Lee Hyung Information Technology Co., Ltd.)
Publication Information
Journal of IKEEE / v.24, no.1, 2020 , pp. 302-310 More about this Journal
Abstract
In this paper, we have implemented the living waste analysis system based on IoT and AI(Artificial Intelligence), and proposed effective waste process and management method. The Jeju location have the strong point to devise a stratagem and estimate waste quantization, rather than others. Especially, we can recognized the amount variation of waste to the residence people compare to the sightseer number, and the good example a specific waste duty. Thus this paper have developed the IoT device for interconnecting the existed CCTV camera, and use the AI algorithm to analysis the waste image. By using these decision of image analysis, we can inform their deal commend and a decided information to the map of the waste cars. In order to evaluate the performance of IoT, we have experimented the electromagnetic compatibility under a national official authorization KN-32, KN61000-4-2~6, and obtained the stable experimental results. In the further experimental results, we can applicable for an data structure for precise definition command by using the simulated several waste image with artificial intelligence algorithm.
Keywords
living waste; AI and IoT; Monitoring System; Management System; estimate waste quantization;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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