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Mechatronic system to classify plastic and metal bottles using capacitive and inductive sensors

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 5 (2024)

DOI
10.11591/ijece.v14i5.pp4970-4976
ISSN
2722-2578, 2088-8708
Published
2024-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The problem addressed in this article focuses on the management of plastic waste, which has experienced a significant increase in recent years, posing challenges in its management and recycling. In addition, the concentration of microplastics in water and their impact on health and the food chain is highlighted. The proposed solution consists of developing a mechatronic system for sorting plastic and metal bottles using capacitive and inductive sensors, respectively. The system demonstrated efficiency in tests, achieving 100% sorting for plastic and metal bottles. The need for bottles to be properly positioned for optimal performance was identified. This work highlights the importance of automation in mechatronic systems and the effectiveness of capacitive and inductive sensors in sorting materials.

Collaboration network of the authors

17 authors · 33 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universidad Tecnológica del Perú
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Johan Huaman CastañedaUniversidad Tecnológica del Perú1
Pablo Cesar Tamara PerezUniversidad Tecnológica del Perú1
Guillermo Wenceslao Zarate SeguraUniversidad Tecnológica del Perú1
Diego Gonzales-RodriguezUniversidad Tecnológica del Perú1
William Trujillo HerreraUniversidad Tecnológica del Perú1
Juan J. SoriaUniversidad Tecnológica del Perú1
Diana Quispe-ArpasiUniversidad Tecnológica del Perú1
Christian OvalleUniversidad Tecnológica del Perú1
Kevin Murga-GarciaUniversidad Tecnológica del Perú1
Rodrigo Chacaltana-SilvaUniversidad Tecnológica del Perú1
Fabio GarciaUniversidad Tecnológica del Perú1
Daniel MartelUniversidad Tecnológica del Perú1
José Rodríguez-GonzalesUniversidad Tecnológica del Perú1
Junior Niquin-JaimesUniversidad Tecnológica del Perú1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 1 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Mechatronic system to classify plastic and metal bottles using capacitive and inductive sensors</dc:title><dc:creator>Melo, Napoly</dc:creator><dc:creator>Gonzales, Abigail Sanchez</dc:creator><dc:creator>Paiva-Peredo, Ernesto</dc:creator><dc:description>&lt;jats:p&gt;The problem addressed in this article focuses on the management of plastic waste, which has experienced a significant increase in recent years, posing challenges in its management and recycling. In addition, the concentration of microplastics in water and their impact on health and the food chain is highlighted. The proposed solution consists of developing a mechatronic system for sorting plastic and metal bottles using capacitive and inductive sensors, respectively. The system demonstrated efficiency in tests, achieving 100% sorting for plastic and metal bottles. The need for bottles to be properly positioned for optimal performance was identified. This work highlights the importance of automation in mechatronic systems and the effectiveness of capacitive and inductive sensors in sorting materials.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v14i5.pp4970-4976</dc:identifier><dc:identifier>10.11591/ijece.v14i5.pp4970-4976</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 5 (2024); 4970</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/35274/17751</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>