IoT-Based Smart Waste Management System with Level Indicators for Effective Garbage Waste Segregation
Mary P Varghese, V. S. Anooja, R Akhila, M.Divya S.Krishnakumar, Arun Xavier
Abstract
The rapid growth in urbanization and population has increased the generation of municipal solid garbage, providing significant challenges to waste management systems. Hence, to solve the issues in waste management, it suggested Internet of Things (IoT) smart-based Smart Waste Management (SWM) with level indications. This system combines IoT technologies to improve the efficiency and sustainability of the garbage disposal process. The suggested SWM system includes sensor-equipped garbage bins that can monitor and transmit accurate information on their fill levels. Sensor-equipped garbage bins optimize waste disposal by providing real-time data, enhancing efficiency and providing timely predictions in trash management. Furthermore, the use of smart garbage bins helps the separation of various types of waste, increasing eco-friendly behaviors and helping recycling activities. The level indicators not only improve efficiency but also help to reduce environmental effects by lowering overflowing bins and eliminating waste. As a result, this research makes use of the architecture, functionality, and potential benefits of the IoT based SWM system, highlighting its role in supporting responsible waste management practices, resource conservation, and the development of urban areas.