Three-dimensional shape recognition for a laser vibrometer scanner
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/35955 |
Resumo: | Laser vibrometry is a technique that, among several possibilities, allows modal analysis of light and thin structures. To make this analysis possible, the capture of a set of points is initially necessary. The devices present in the market, besides being expensive, present a rudimentary obtaining of points, usually done manually by the user. Not presenting the flexibility required for research, it is planned in this project to develop a system of automatic acquisition of these points for a laser vibrometer scanner. Given this need, a system was created to capture points through the information acquired by a Microsoft Kinect camera. In a Matlab environment, these points were converted into point clouds and processed through an application, in which the user can define their final configuration. This work presents the results obtained during the analysis of two different types of geometries through the application developed. |
id |
RCAP_ddc3610de9591b2102b52be3c0cba916 |
---|---|
oai_identifier_str |
oai:ria.ua.pt:10773/35955 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Three-dimensional shape recognition for a laser vibrometer scannerLaser vibrometryGalvanometerVibrationLaser scanningMatlabLaser vibrometry is a technique that, among several possibilities, allows modal analysis of light and thin structures. To make this analysis possible, the capture of a set of points is initially necessary. The devices present in the market, besides being expensive, present a rudimentary obtaining of points, usually done manually by the user. Not presenting the flexibility required for research, it is planned in this project to develop a system of automatic acquisition of these points for a laser vibrometer scanner. Given this need, a system was created to capture points through the information acquired by a Microsoft Kinect camera. In a Matlab environment, these points were converted into point clouds and processed through an application, in which the user can define their final configuration. This work presents the results obtained during the analysis of two different types of geometries through the application developed.A vibrometria laser é uma técnica que, entre várias possibilidades, permite a realização de análises modais de estruturas leves e finas. Para tornar esta análise possível, a captura de um conjunto de pontos é inicialmente necessária. Os dispositivos presentes no mercado, para além de dispendiosos, apresentam uma obtenção de pontos rudimentar, normalmente feita de forma manual pelo utilizador. Não apresentando a flexibilidade exigida para investigação, está previsto neste projeto desenvolver um sistema de aquisição automático destes pontos para um scanner de um vibrometro laser. Dada esta necessidade, foi criado um sistema de captura de pontos através da informação adquirida por uma câmara da Microsoft Kinect. Num ambiente Matlab, estes pontos foram convertidos em nuvens de pontos e processados através de uma aplicação, na qual o utilizador pode definir a sua configuração final. Este trabalho apresenta os resultados obtidos durante a análise de dois tipos diferentes de geometrias através da aplicação desenvolvida.2023-01-23T14:58:05Z2022-12-16T00:00:00Z2022-12-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/35955engNeto, Bruno Campos Cardoso Lealinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:09:29Zoai:ria.ua.pt:10773/35955Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:06:57.948Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Three-dimensional shape recognition for a laser vibrometer scanner |
title |
Three-dimensional shape recognition for a laser vibrometer scanner |
spellingShingle |
Three-dimensional shape recognition for a laser vibrometer scanner Neto, Bruno Campos Cardoso Leal Laser vibrometry Galvanometer Vibration Laser scanning Matlab |
title_short |
Three-dimensional shape recognition for a laser vibrometer scanner |
title_full |
Three-dimensional shape recognition for a laser vibrometer scanner |
title_fullStr |
Three-dimensional shape recognition for a laser vibrometer scanner |
title_full_unstemmed |
Three-dimensional shape recognition for a laser vibrometer scanner |
title_sort |
Three-dimensional shape recognition for a laser vibrometer scanner |
author |
Neto, Bruno Campos Cardoso Leal |
author_facet |
Neto, Bruno Campos Cardoso Leal |
author_role |
author |
dc.contributor.author.fl_str_mv |
Neto, Bruno Campos Cardoso Leal |
dc.subject.por.fl_str_mv |
Laser vibrometry Galvanometer Vibration Laser scanning Matlab |
topic |
Laser vibrometry Galvanometer Vibration Laser scanning Matlab |
description |
Laser vibrometry is a technique that, among several possibilities, allows modal analysis of light and thin structures. To make this analysis possible, the capture of a set of points is initially necessary. The devices present in the market, besides being expensive, present a rudimentary obtaining of points, usually done manually by the user. Not presenting the flexibility required for research, it is planned in this project to develop a system of automatic acquisition of these points for a laser vibrometer scanner. Given this need, a system was created to capture points through the information acquired by a Microsoft Kinect camera. In a Matlab environment, these points were converted into point clouds and processed through an application, in which the user can define their final configuration. This work presents the results obtained during the analysis of two different types of geometries through the application developed. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-16T00:00:00Z 2022-12-16 2023-01-23T14:58:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/35955 |
url |
http://hdl.handle.net/10773/35955 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137724942254080 |