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A Novel Intelligent Garbage Classification System Based on Deep Learning and an Embedded Linux System
2021
IEEE Access
The dramatic increase in the amount of garbage and complex diversity of the materials in the garbage bring serious environmental pollution problems and wastes resources. Recycling reduces waste but manual pipeline waste sorting involves a harsh working environment at high labor intensity with low sorting efficiency. In our paper, a novel intelligent garbage classification system based on deep learning and an embedded Linux system is proposed. The system is divided into three parts. First, a
doi:10.1109/access.2021.3114496
fatcat:qwqnvvpljjf7bnpraqex57qe3y