UZOEKWE EMMANUEL SOMTOOCHUKWU

MONITORING AND CONTROL OF A SMART WASTE BIN

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Abstract
Ineffective waste management in rapidly urbanizing cities has intensified environmental and public health challenges, particularly in Nigeria, where traditional collection methods remain inefficient and costly. The emergence of smart waste bin technologies offers a sustainable alternative by integrating Internet of Things (IoT) components for real-time monitoring, automated waste handling, and optimized collection processes. This study addresses the limitations of existing systems—such as lack of automation, poor material sustainability, and insufficient adaptability to environmental conditions—by developing a smart waste bin prototype that enhances efficiency, reduces health risks, and supports global sustainability goals through innovation in sensor integration, automation, and eco-friendly design. This study encompasses the design and development of a smart waste bin system integrating sensors, automation, and wireless communication technologies. The prototype includes real-time monitoring, SMS notifications, and automated features such as waste compaction and lid control to enhance hygiene and usability. Emphasis is also placed on the use of sustainable construction materials and the system’s adaptability to various environmental conditions. Rigorous hardware and software testing ensures reliable sensor performance, effective automation, and accurate communication. These evaluations validate the system’s functionality in real-world scenarios, reinforcing its potential as a scalable and sustainable solution for modern waste management challenges. The developed smart waste bin system demonstrated successful integration of real-time monitoring, automation, and wireless communication technologies. Testing confirmed the reliability of its components—ultrasonic and load sensors, linear actuators, and GSM/GPS modules—under realistic operating conditions. The system effectively detected fill levels, triggered automated compaction, and sent timely alerts, thereby reducing overflow incidents and improving waste collection efficiency. These results suggest the system’s potential to address key urban waste management challenges, offering a scalable and sustainable solution adaptable to residential, commercial, and municipal applications
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