Smart Waste Management System Using IoT for Efficient Segregation

Abstract: The increasing urban population and industrialization have led to an exponential rise in waste generation, posing significant environmental and health challenges. Traditional waste management systems, relying heavily on manual labor, are inefficient and error-prone. This paper proposes a Smart Waste Segregation System that integrates Internet of Things (IoT) and advanced sensor technologies to address these challenges. The system automatically categorizes waste into dry, wet, and metallic categories using ultrasonic, moisture, and inductive proximity sensors and ensures efficient collection and recycling. By leveraging real-time monitoring and automation, the system minimizes human intervention, reduces resource wastage, and prevents environmental degradation. This research consolidates findings from previous studies, highlights innovative design improvements, and presents a modified, cost-effective, and scalable system aimed at revolutionizing urban waste management. Additionally, the system’s integration with IoT platforms enables better decision-making and promotes sustainable waste management practices.

Keywords: Smart Waste Management, IoT, Waste Segregation, Urban Sustainability, Sensor Technology, Automation, Environmental Protection.