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Smart Garbage Bin Based on AIoT

Wen-Tsai Sung1, Ihzany Vilia Devi1, Sung-Jung Hsiao2,*, Fathria Nurul Fadillah1

1 Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, 411030, Taiwan
2 Department of Information Technology, Takming University of Science and Technology, Taipei City, 11451, Taiwan

* Corresponding Author: Sung-Jung Hsiao. Email: email

Intelligent Automation & Soft Computing 2022, 32(3), 1387-1401. https://doi.org/10.32604/iasc.2022.022828

Abstract

Waste management and monitoring is a major concern in the context of the environment, and has a significant impact on human health. The concept of the Artificial Intelligence of Things (AIoT) can help people in everyday tasks in life. This study proposes a smart trash bin to help solve the problem of waste management and monitoring. Traditional methods of garbage disposal require human labor, and pose a hazard to the worker. The proposed smart garbage bin can move itself by using ultrasonic sensors and a web camera, which serves as its “eyes.” Because the smart garbage bin is designed for indoor use and mobility, we use a Bluetooth beacon for location tracking, whereby the bin transmits a constant signal that the other devices in the environment can detect. A smart garbage bin was developed in this study to be used in the E315 research room in the Electrical Engineering Department of the National Chin-Yi University of Technology. An Android application was also developed to help users monitor waste in the smart bin.

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Cite This Article

APA Style
Sung, W., Devi, I.V., Hsiao, S., Fadillah, F.N. (2022). Smart garbage bin based on aiot. Intelligent Automation & Soft Computing, 32(3), 1387-1401. https://doi.org/10.32604/iasc.2022.022828
Vancouver Style
Sung W, Devi IV, Hsiao S, Fadillah FN. Smart garbage bin based on aiot. Intell Automat Soft Comput . 2022;32(3):1387-1401 https://doi.org/10.32604/iasc.2022.022828
IEEE Style
W. Sung, I.V. Devi, S. Hsiao, and F.N. Fadillah, “Smart Garbage Bin Based on AIoT,” Intell. Automat. Soft Comput. , vol. 32, no. 3, pp. 1387-1401, 2022. https://doi.org/10.32604/iasc.2022.022828



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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