Literature DB >> 34096833

Designing of reverse vending machine to improve its sorting efficiency for recyclable materials for its application in convenience stores.

Daegi Kim1, Sangyub Lee2, Minsoo Park2, Kawnyong Lee3, Do-Yong Kim4.   

Abstract

Plastics have multiple applications in disposable products, high-end technology parts, etc., owing to their functionality and manufacturing flexibility. However, their increased use has increased the global proportion of plastic wastes, which creates a serious environmental issue, thereby, creating a demand for plastic waste management techniques. Improving the efficiency of resource recovery by appropriate sorting and collection systems is necessary for successful plastic recycling. Therefore, this study proposed a three-step optimization process of a reverse vending machine (RVM), a small automatic recyclable waste sorter/collector system, for acquiring an optimal design and enhanced efficiency. The RVM system categorized recyclable wastes as plastics, glass, and cans using barcode, vision, and near infrared sensors. The average sorting efficiency of the designed RVM system was 94%, 95% for polyethylene terephthalate, and 98% for glass bottles. Therefore, the RVM system, with the average sorting efficiency of 95%, is suitable for application in on-site sorting in small-sized areas, such as convenience stores, which generate wastes on a small scale.

Entities:  

Keywords:  material recycle; plastic waste; reverse vending machine; sensors; sorting system

Year:  2021        PMID: 34096833     DOI: 10.1080/10962247.2021.1939811

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  1 in total

1.  Implementation and integration of image processing blocks in a real-time bottle classification system.

Authors:  Marco Aurelio Nuño-Maganda; Josué Helí Jiménez-Arteaga; Jose Hugo Barron-Zambrano; Yahir Hernández-Mier; Juan Carlos Elizondo-Leal; Alan Díaz-Manríquez; Cesar Torres-Huitzil; Said Polanco-Martagón
Journal:  Sci Rep       Date:  2022-03-22       Impact factor: 4.379

  1 in total

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