Three-dimensional shape recognition for a laser vibrometer scanner

• Autor(a) principal: Neto, Bruno Campos Cardoso Leal
• 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
• topic: Laser vibrometry; Galvanometer; Vibration; Laser scanning; Matlab

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.