Automated Waste Segregation into Biodegradable and Non-Biodegradable Fractions Utilizing Conveyor Belt and Image Processing with Design Thinking

Abstract

This research aims to propose a new strategy for the classification of waste through a joint venture. Conveyor system and image processing technology capabilities. The combination of these technologies can separate waste into biodegradable and non-biodegradable parts, thereby simplifying waste management, reducing pollution, and promoting better practices. In recent years, image processing technology has made significant progress in machine learning algorithms, object recognition, and classification based on visual features. By applying these advances to waste classification, biodegradable and non-biodegradable materials can be instantly identified even in diverse and fast-moving wastewater. The conveyor system provides a dynamic platform for the continuous transportation of waste, allowing the separation process to operate efficiently. This research contributes to ongoing efforts to promote sustainable waste management, reduce waste generation, and improve recycling rates. The automatic waste separation system proposed in this paper provides practical and efficient waste separation facilities and can be customized to meet the specific needs of waste management facilities. The integration of conveyor belts and image processing equipment is promising for future advances in waste distribution and environmental protection. As the world's interest in environmental sustainability and waste management continues to grow, new solutions to improve the disposal process are vital. This work presents an integrated system using conveyor belts and image processing equipment to separate waste into biodegradable and non-biodegradable materials. The main purpose of the system is to facilitate waste management, reduce pollution, and improve recycling.