Citation

Tan, Yi Wen and Pang, Wai Leong and Goh, Hui Hwang and Chan, Kah Yoong and Chung, Gwo Chin and Prabha, N. Amutha (2026) Design of a Smart Bin System for Efficient Waste Management. In: Artificial Intelligence in Instrumentation, Control and Automation. Wiley, pp. 467-477. ISBN 978-139433616-6, 978-139433613-5

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Abstract

Ineffective waste management poses numerous risks to both public health and the environment. The issue of waste management has become increasingly critical in metropolitan areas due to the rapid growth of the global population. A smart bin design is proposed to address this problem. The smart bin system collects data through the Internet of Things (IoT) to enhance decision-making and improve the performance of waste management operations. An ultrasonic sensor measures the fill level of the bin, while LEDs display the fill status, indicating whether it is marginal or critical. The 741 operational amplifiers (Op-Amps) are used as comparators in the system. Additionally, the waste is compressed when the critical fill level is detected. A tilt sensor is incorporated to prevent erroneous readings, and a temperature sensor is employed to assess the potential for fire. Both the tilt and temperature sensors are interfaced with an Op-Amp to ensure accurate output. The smart bin system was simulated using TinkerCAD, and the results showed that it operates effectively, providing reliable and consistent performance. The proposed smart bin is estimated to cost only USD 7.50, making it an affordable solution.

Item Type:	Book Section
Uncontrolled Keywords:	Smart bins, waste management
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD194-195 Environmental effects of industries and plants
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	02 Apr 2026 03:13
Last Modified:	06 Apr 2026 05:00
URII:	http://shdl.mmu.edu.my/id/eprint/15632

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