Abstract

AbstractEconomic development and the abundance of human material life have brought about the increasingly serious resource waste and garbage accumulation. Waste classification recycling is the main approach to realize waste recycling and reduction. Currently, the achievements of universities in waste classification management are still far from the expectations, so people are increasingly aware of the problems associated with conventional methods of waste collection. The development of artificial intelligence (AI) technology provides a new alternative to achieve efficient waste sorting and recycling. This study systematically reviews the application of AI technology in waste classification management, mainly involving the relevant research and practical products of AI in the processes of waste dumping, classification collection, and sorting. To explore the potential of AI technology applied in waste classification management on campus, this study takes H University in China as a case to analyze the actual situation of the waste classification management program on campus, including the basic situation of all kinds of the waste streams from generation to final treatment. Based on the above results, we attempt to propose an alternative scheme for the existing waste classification management program in H University, that is, the framework of waste classification management based on AI technology, to improve the performance of waste classification recycling on campus. Our findings could provide references for the universities that are committed to waste classification recycling and for the promotion of the municipal intelligent waste management system in cities.KeywordsArtificial intelligenceAutomatic sortingRecyclingWaste classificationWaste stream

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