2021
DOI: 10.3390/app112211051
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Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine

Abstract: A reverse vending machine motivates citizens to bring recyclable waste by rewarding them, which is a viable solution to increase the recycling rate. Reverse vending machines generally use near-infrared sensors, barcode sensors, or cameras to classify recycling resources. However, sensor-based reverse vending machines suffer from a high configuration cost and the limited scope of target objects, and conventional single image-based reverse vending machines usually make erroneous predictions about intentional fra… Show more

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Cited by 8 publications
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References 40 publications
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