Design of Waste Management System Using Ensemble Neural Networks

Waste management is an essential societal issue, and the classical manual waste auditing methods are hazardous time-consuming. In this paper, we introduce a novel method for detection classification to address challenges of management. The uses collection deep neural networks allow accurate detection, classification, size quantification. trained network model integrated into mobile-based application trash geotagging based on images captured by users their smartphones. tagged then connected cleaners’ database, nearest cleaners notified waste. experimental results using publicly available datasets show effectiveness proposed in terms accuracy. achieved accuracy at least 90%, which surpasses that reported other state-of-the-art same datasets.