Smart Waste Management System With Level Indicators For Effective Garbage Segregation
Keywords:
IoT, IRSensor, Node MCU, HC-SR04 sensor, Thing SpeakAbstract
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 behaviours and helping
recycling activities. The level indicators not only improv 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 basedSWM system, highlighting its role in supporting responsible
waste management practices, resource conservation, and the development of urban areas.










