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Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials
Underwater object identification by optical sensors is usually difficult in turbid or dark environments. The objective of this paper was to identify different underwater materials using active electrolocation technology. We proposed a bionic sensor inspired by the weakly electric fish. The material...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472066/ https://www.ncbi.nlm.nih.gov/pubmed/32824405 http://dx.doi.org/10.3390/s20164608 |
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author | Du, Wenhao Yang, Yu’e Liu, Luning |
author_facet | Du, Wenhao Yang, Yu’e Liu, Luning |
author_sort | Du, Wenhao |
collection | PubMed |
description | Underwater object identification by optical sensors is usually difficult in turbid or dark environments. The objective of this paper was to identify different underwater materials using active electrolocation technology. We proposed a bionic sensor inspired by the weakly electric fish. The material identification was completed by analyzing electric signal images, since the electric signal changes when different materials are identified. Firstly, the effective lift-off distance for identification was researched. The materials used in this paper can be effectively identified by the sensor at a lift-off distance of 10 mm. Furthermore, the performance of the sensor for identifying and locating was studied in the presence of multiple materials. The results indicated that the sensor can effectively identify and locate the objects when the distance between objects is greater than 30 mm, while the location error is less than 5% in most cases. Our research proves that the bionic sensor we made can effectively recognize different materials underwater in short-range, which is about 10 mm. Therefore, we expect that the bionic sensor we made can be utilized as a useful tool for underwater object identification. |
format | Online Article Text |
id | pubmed-7472066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74720662020-09-04 Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials Du, Wenhao Yang, Yu’e Liu, Luning Sensors (Basel) Letter Underwater object identification by optical sensors is usually difficult in turbid or dark environments. The objective of this paper was to identify different underwater materials using active electrolocation technology. We proposed a bionic sensor inspired by the weakly electric fish. The material identification was completed by analyzing electric signal images, since the electric signal changes when different materials are identified. Firstly, the effective lift-off distance for identification was researched. The materials used in this paper can be effectively identified by the sensor at a lift-off distance of 10 mm. Furthermore, the performance of the sensor for identifying and locating was studied in the presence of multiple materials. The results indicated that the sensor can effectively identify and locate the objects when the distance between objects is greater than 30 mm, while the location error is less than 5% in most cases. Our research proves that the bionic sensor we made can effectively recognize different materials underwater in short-range, which is about 10 mm. Therefore, we expect that the bionic sensor we made can be utilized as a useful tool for underwater object identification. MDPI 2020-08-17 /pmc/articles/PMC7472066/ /pubmed/32824405 http://dx.doi.org/10.3390/s20164608 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter Du, Wenhao Yang, Yu’e Liu, Luning Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials |
title | Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials |
title_full | Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials |
title_fullStr | Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials |
title_full_unstemmed | Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials |
title_short | Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials |
title_sort | research on the recognition performance of bionic sensors based on active electrolocation for different materials |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472066/ https://www.ncbi.nlm.nih.gov/pubmed/32824405 http://dx.doi.org/10.3390/s20164608 |
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