Published Paper Details:

Waste segregation plays a vital role in modern waste management by enabling efficient recycling, reducing landfill accumulation, and minimizing environmental pollution. The increasing volume of municipal waste generated from urbanization and population growth has created a demand for intelligent and automated segregation solutions. This paper presents SensorFusionBin: An IoT-Enabled System for Automated Wet, Dry, and Metallic Waste Segregation, designed to classify waste materials using embedded sensing technologies and automated control mechanisms. The proposed system integrates a moisture sensor, metal detection sensor, Arduino-based controller, servo-driven segregation mechanism, and IoT-enabled monitoring framework to identify and separate different categories of waste with minimal human intervention. Moisture sensing is utilized to detect biodegradable wet waste, while metallic objects are recognized through metal detection techniques. Materials that do not satisfy either condition are categorized as dry waste. The automated segregation process improves sorting accuracy, enhances hygiene, and supports sustainable waste management practices. Experimental evaluation demonstrates reliable waste classification and effective bin allocation under controlled conditions. The system offers a cost-effective, scalable, and environmentally responsible approach for smart homes, institutions, public facilities, and future smart city applications.