Research Article | OPEN ACCESS
Application of Capacitance Proximity Sensor for the Identification of Paper and Plastic from Recycling Materials
1Irfana Kabir Ahmad, 2Muhammad Mukhlisin and 1Hassan Basri
1Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia, Malaysia
2Semarang State Polytechnic, Indonesia
Research Journal of Applied Sciences, Engineering and Technology 2016 12:1221-1228
Received: January 19, 2016 | Accepted: March 1, 2016 | Published: June 15, 2016
Abstract
The aim of this research is to differentiate recyclable material like papers and plastics using capacitance proximity. Capacitance proximity sensor is one of the most famous systems used in the food industry. The sensor is mainly used to detect the level of liquid in the container. However, this research has found a new alternative of using the capacitance proximity sensor which is to identify paper and plastic from mixed recycling materials. This sensor can detect the target based on the permittivity value of each material. The sensors used in this study have been adjusted according to the values of paper and plastic. Experiments have been done using samples with the combination of plastic and paper with different densities. Results obtain from the experiment showed that the capacitance proximity sensor was able to detect non-metallic materials which were plastic and paper and able to identify paper and plastic with different densities.
Keywords:
Capacitance proximity sensor , dielectric, permittivity, plastics , papers, recyclable,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
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