- Hanlin Cai (hanlin.cai@ieee.org)
- Jiaqi Hu
- Zheng Li
The paper (An IoT Garbage Monitoring System For Effective Garbage Management) has been ACCEPTED by 2022 IEEE CENIM. 🎉 Supervised by Dr. Chin-Hong Wong. Support by Maynooth International Engineering College (FZU, China).
Abstract: Nowadays, with the increasing output of municipal waste, the pressure on municipal waste treatment is increasing. In this case, utilizing low-cost and low-power IoT technology to improve urban waste management has become a popular trend. This paper proposes an intelligent garbage management system for urban communities: Garbage Manager. The Garbage Manager aspires to create energy-efficient and real-time waste detection based on IoT and data visualization technology. In this work, the NodeMCU chip integrated with a high-precision ultrasonic sensor is used to measure the height of the waste in the garbage bin and transmits the data to the database through the Ali-cloud IoT platform. In addition, a web page is created as a graphical user interface to display the status of the garbage bins in real-time. Experimental results show that the Garbage Manager is able to decrease the manpower from clearing the garbage by 24.07 % and reduce the garbage overflow times by 83.33 %.
Index Terms—IoT, Garbage Management, Data Visualization
Hello MIECer. If you can find the program Repo, your retrieval ability must be very outstanding, and I hope this second-year project's Repo can give you some reference. It is important to note that if you get the similar (or even the same) project topic, please do not directly copy our work.
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