The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1163/22941932-bja10043 http://hdl.handle.net/11449/208946 |
Resumo: | One rate-limiting factor in the fight against illegal logging is the lack of powerful, affordable, scalable wood identification tools for field screening. Computer vision wood identification using smartphones fitted with customized imaging peripherals offers a potential solution, but to date, such peripherals suffer from one or more weaknesses: low image quality, lack of lighting control, uncontrolled magnification, unknown distortion, and spherical aberration, and/or no access to or publication of the system design. To address cost, optical concerns, and open access to designs and parameters, I present the XyloPhone, a 3D printed research quality macroscopic imaging attachment adaptable to virtually any smartphone. It provides a fixed focal distance, exclusion of ambient light, selection of visible light or UV illumination, uses the lens from a commercially available loupe, is powered by a rechargeable external battery, is fully open-sourced, at a price point of less than USD no is a highly affordable tool for the laboratory or the field, and can serve as the foundational hardware for a scalable field-deployable computer vision wood identification system. |
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The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substratesMacroscopic imagingcomputer vision wood identificationfield screeningXyloTronsmartphoneXyloPhoneOne rate-limiting factor in the fight against illegal logging is the lack of powerful, affordable, scalable wood identification tools for field screening. Computer vision wood identification using smartphones fitted with customized imaging peripherals offers a potential solution, but to date, such peripherals suffer from one or more weaknesses: low image quality, lack of lighting control, uncontrolled magnification, unknown distortion, and spherical aberration, and/or no access to or publication of the system design. To address cost, optical concerns, and open access to designs and parameters, I present the XyloPhone, a 3D printed research quality macroscopic imaging attachment adaptable to virtually any smartphone. It provides a fixed focal distance, exclusion of ambient light, selection of visible light or UV illumination, uses the lens from a commercially available loupe, is powered by a rechargeable external battery, is fully open-sourced, at a price point of less than USD no is a highly affordable tool for the laboratory or the field, and can serve as the foundational hardware for a scalable field-deployable computer vision wood identification system.Ctr Wood Anat Res, Forest Prod Lab, Madison, WI 53726 USAUniv Wisconsin, Dept Bot, Madison, WI 53706 USAPurdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USAUniv Estadual Paulista Botucatu, Ciencias Biol Bot, Sao Paulo, BrazilMississippi State Univ, Dept Sustainable Bioprod, Starkville, MS 39762 USAUniv Estadual Paulista Botucatu, Ciencias Biol Bot, Sao Paulo, BrazilBrillCtr Wood Anat ResUniv WisconsinPurdue UnivUniversidade Estadual Paulista (Unesp)Mississippi State UnivWiedenhoeft, Alex C.2021-06-25T11:43:59Z2021-06-25T11:43:59Z2020-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article699-719http://dx.doi.org/10.1163/22941932-bja10043Iawa Journal. Leiden: Brill, v. 41, n. 4, p. 699-719, 2020.0928-1541http://hdl.handle.net/11449/20894610.1163/22941932-bja10043WOS:000591699500013Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIawa Journalinfo:eu-repo/semantics/openAccess2021-10-23T19:23:25Zoai:repositorio.unesp.br:11449/208946Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:43:11.103491Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
title |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
spellingShingle |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates Wiedenhoeft, Alex C. Macroscopic imaging computer vision wood identification field screening XyloTron smartphone XyloPhone |
title_short |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
title_full |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
title_fullStr |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
title_full_unstemmed |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
title_sort |
The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates |
author |
Wiedenhoeft, Alex C. |
author_facet |
Wiedenhoeft, Alex C. |
author_role |
author |
dc.contributor.none.fl_str_mv |
Ctr Wood Anat Res Univ Wisconsin Purdue Univ Universidade Estadual Paulista (Unesp) Mississippi State Univ |
dc.contributor.author.fl_str_mv |
Wiedenhoeft, Alex C. |
dc.subject.por.fl_str_mv |
Macroscopic imaging computer vision wood identification field screening XyloTron smartphone XyloPhone |
topic |
Macroscopic imaging computer vision wood identification field screening XyloTron smartphone XyloPhone |
description |
One rate-limiting factor in the fight against illegal logging is the lack of powerful, affordable, scalable wood identification tools for field screening. Computer vision wood identification using smartphones fitted with customized imaging peripherals offers a potential solution, but to date, such peripherals suffer from one or more weaknesses: low image quality, lack of lighting control, uncontrolled magnification, unknown distortion, and spherical aberration, and/or no access to or publication of the system design. To address cost, optical concerns, and open access to designs and parameters, I present the XyloPhone, a 3D printed research quality macroscopic imaging attachment adaptable to virtually any smartphone. It provides a fixed focal distance, exclusion of ambient light, selection of visible light or UV illumination, uses the lens from a commercially available loupe, is powered by a rechargeable external battery, is fully open-sourced, at a price point of less than USD no is a highly affordable tool for the laboratory or the field, and can serve as the foundational hardware for a scalable field-deployable computer vision wood identification system. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-01 2021-06-25T11:43:59Z 2021-06-25T11:43:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1163/22941932-bja10043 Iawa Journal. Leiden: Brill, v. 41, n. 4, p. 699-719, 2020. 0928-1541 http://hdl.handle.net/11449/208946 10.1163/22941932-bja10043 WOS:000591699500013 |
url |
http://dx.doi.org/10.1163/22941932-bja10043 http://hdl.handle.net/11449/208946 |
identifier_str_mv |
Iawa Journal. Leiden: Brill, v. 41, n. 4, p. 699-719, 2020. 0928-1541 10.1163/22941932-bja10043 WOS:000591699500013 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Iawa Journal |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
699-719 |
dc.publisher.none.fl_str_mv |
Brill |
publisher.none.fl_str_mv |
Brill |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128848861069312 |