Image Analysis for Segregation of E-Waste Materials Using Deep Learning

Efficient management of e-waste is becoming necessary due to the increasing accumulation of electronic products discarded as waste. This paper presents a system for identifying e-waste products, suggesting suitable recycling methods, listing the components present, and recommending the appropriate factory for the recycling process. By employing deep learning techniques, the presented approach aims to improves the efficiency of the segregation, classification and recycling enactment. The system is designed to analyze the composition of various ewaste products and provide recommendations for their optimal recycling methods, contributing towards sustainable e-waste management.