The XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorCtr Wood Anat Res-
Autor(es): dc.contributorUniv Wisconsin-
Autor(es): dc.contributorPurdue Univ-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorMississippi State Univ-
Autor(es): dc.creatorWiedenhoeft, Alex C.-
Data de aceite: dc.date.accessioned2022-02-22T00:54:57Z-
Data de disponibilização: dc.date.available2022-02-22T00:54:57Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-10-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1163/22941932-bja10043-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/208946-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/208946-
Descrição: dc.descriptionOne 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.-
Descrição: dc.descriptionCtr Wood Anat Res, Forest Prod Lab, Madison, WI 53726 USA-
Descrição: dc.descriptionUniv Wisconsin, Dept Bot, Madison, WI 53706 USA-
Descrição: dc.descriptionPurdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA-
Descrição: dc.descriptionUniv Estadual Paulista Botucatu, Ciencias Biol Bot, Sao Paulo, Brazil-
Descrição: dc.descriptionMississippi State Univ, Dept Sustainable Bioprod, Starkville, MS 39762 USA-
Descrição: dc.descriptionUniv Estadual Paulista Botucatu, Ciencias Biol Bot, Sao Paulo, Brazil-
Formato: dc.format699-719-
Idioma: dc.languageen-
Publicador: dc.publisherBrill-
Relação: dc.relationIawa Journal-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectMacroscopic imaging-
Palavras-chave: dc.subjectcomputer vision wood identification-
Palavras-chave: dc.subjectfield screening-
Palavras-chave: dc.subjectXyloTron-
Palavras-chave: dc.subjectsmartphone-
Palavras-chave: dc.subjectXyloPhone-
Título: dc.titleThe XyloPhone: toward democratizing access to high-quality macroscopic imaging for wood and other substrates-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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