Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 8 No 4 (2024): Volume 8, Issue 4, April 2024 | Pages: 280-284
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 19-05-2024
The Smart Waste Management System (SWMS) is designed to revolutionize traditional waste management practices by integrating Internet of Things (IoT) technology, data analytics, and real-time monitoring capabilities. The system utilizes a network of sensors deployed in waste bins to collect data on fill levels, location, and other relevant parameters. This data is transmitted wirelessly to a central server for analysis using advanced algorithms to optimize waste collection routes, schedule maintenance, and detect anomalies. Through a user-friendly web or mobile interface, stakeholders can access real-time information, receive alerts, and monitor the status of waste bins remotely. SWMS aims to improve operational efficiency, reduce environmental impact, and enhance public health by minimizing waste overflow, optimizing resource allocation, and promoting sustainable waste management practices. This abstract provides an overview of the SWMS's functionality, highlighting its potential to revolutionize waste management practices and contribute to a cleaner, smarter, and more sustainable urban environment.
Iot, sensors, monitoring, waste, location
Mulani Mumtaj Raju, Pawar Swapnali Dilip, Sawant Sonali Bandopant, Kadam Akanksha Annaso, Asst. Prof. R.K. Patole, “IoT-Based Non-Invasive Blood Glucose Monitoring System”, Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 8, Issue 4, pp 280-284, April 2024. Article DOI https://doi.org/10.47001/IRJIET/2024.804043
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