Research Article

AI-Enhanced IoT for Real-Time Urban Waste Management

Authors

  • Shubham Kumar * Departmant of Computer Engineering, KIIT (Deemed to Be) University, Bhubaneswar, Odisha, India.

https://doi.org/10.22105/scfa.v1i3.49

Abstract

The document discusses the automation of waste management systems aimed at promoting cleanliness and hygiene. The act of littering in streets and public spaces is a prevalent issue in many developing nations, leading to environmental harm and several unhygienic conditions. To tackle these challenges, the concept of Smart Netbin has been introduced, which integrates hardware and software technologies by linking a standard dustbin to a Wi-Fi system to offer users complimentary internet access for a limited time. This technology incentivizes individuals to maintain a clean environment, thereby complementing effective waste management in the community. Smart Netbin employs various technologies: 1) It measures the volume of waste disposed, 2) It tracks the movement of the waste, and 3) It transmits necessary signals and connects users to the Wi-Fi network. The proposed system will operate on a client-server model, ensuring a cleaner environment, better health, and a pollution-free community. 

Keywords

Load Cell Internet of things Load sensing plate Arduino Wi-Fi Internet
References (15)
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How to Cite

Kumar, S. (2024). AI-Enhanced IoT for Real-Time Urban Waste Management. Soft Computing Fusion With Applications , 1(3), 179-185. https://doi.org/10.22105/scfa.v1i3.49

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