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Vila, Y., (2018). Computer Vision System for Automatic Inspection of Automotive parts in Assembly Lines [Università di Pisa]. https://renati.sunedu.gob.pe/handle/sunedu/3105691
Vila, Y., Computer Vision System for Automatic Inspection of Automotive parts in Assembly Lines []. IT: Università di Pisa; 2018. https://renati.sunedu.gob.pe/handle/sunedu/3105691
@mastersthesis{renati/3163,
title = "Computer Vision System for Automatic Inspection of Automotive parts in Assembly Lines",
author = "Vila Calle, Yanet Celma",
publisher = "Università di Pisa",
year = "2018"
}
Título: Computer Vision System for Automatic Inspection of Automotive parts in Assembly Lines
Otros títulos: Sistema de visión para la inspección automática de autopartes en líneas de ensamblaje
Autor(es): Vila Calle, Yanet Celma
Asesor(es): Lanzetta, Michele
Palabras clave: Visión por computadoras; Visión artificial; Control en tiempo real; Control de calidad - Automatización; Industria automotriz
Campo OCDE: https://purl.org/pe-repo/ocde/ford#2.02.03
Fecha de publicación: 2018
Institución: Università di Pisa
Resumen: La pieza completa (Semieje) a inspeccionar, está compuesta por múltiples características y
componentes, por lo que para una correcta inspección de todos ellos, fue necesario desarrollar
una estación, en la cual el medio eje es ingresado por un robot en posición vertical.
En el interior de la estación, el semieje se sujeta en el eje central mediante una mordaza y se
comprime mediante dos contrapuntos en los lados superior e inferior para un correcto
posicionamiento vertical de la pieza.
Luego se gira el semieje alrededor de su eje, de esta forma, las cámaras instaladas en el
interior de la estación, comienzan con la adquisición de las imágenes de la superficie
completa del semieje. Las imágenes adquiridas son enviadas al módulo de procesamiento
basado en PC, en este módulo se ejecutan los algoritmos de captura, procesamiento y
análisis de imágenes.
Luego del análisis, el sistema determinará si el objeto inspeccionado contiene defectos, daños,
impurezas o está libre de ellos.
This work presents a successful industrial application of the machine vision technology for the automatic inspection of half-shaft in an assembly line. The visual inspection system developed has seven cameras that were integrated into an inspection cell, which have the capacity to cover a large part of the surface of the object to be inspected. Using the data acquisition board, it is possible to send all the scenes captured by the camera to the vision software installed on the PC, where the various processing and analysis techniques will be carried out. For the development of the vision algorithms was taking into account the requeriments and needs of the different features of components and accesories of half-shaft. These features consists in pattern recognitions, dimensional inspection, absence of elements or defects inspection as damages, fissures, bumps or any others. The vision software was based on VisionPro platform from Cognex. This software presents potential tools for image acquisition, as well as its processing and analysis. In addition, its interoperability capability with .NET framework facilitates the development of customizable vision software.
This work presents a successful industrial application of the machine vision technology for the automatic inspection of half-shaft in an assembly line. The visual inspection system developed has seven cameras that were integrated into an inspection cell, which have the capacity to cover a large part of the surface of the object to be inspected. Using the data acquisition board, it is possible to send all the scenes captured by the camera to the vision software installed on the PC, where the various processing and analysis techniques will be carried out. For the development of the vision algorithms was taking into account the requeriments and needs of the different features of components and accesories of half-shaft. These features consists in pattern recognitions, dimensional inspection, absence of elements or defects inspection as damages, fissures, bumps or any others. The vision software was based on VisionPro platform from Cognex. This software presents potential tools for image acquisition, as well as its processing and analysis. In addition, its interoperability capability with .NET framework facilitates the development of customizable vision software.
Enlace al repositorio: https://renati.sunedu.gob.pe/handle/sunedu/3105691
Disciplina académico-profesional: Ingeniería en Robótica y Automatización
Institución que otorga el grado o título: Università di Pisa. Dipartimento di Ingegneria dell'Informazione
Grado o título: Magíster en Ingeniería en Robótica y Automatización
Jurado: Caiti, Andrea; Pallottino, Lucia; Innocenti, Mario; Bianchi, Matteo; Lanzetta, Michele
Fecha de registro: 29-mar-2022
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
VilaCalleYC.pdf | Tesis | 4.45 MB | Adobe PDF | Visualizar/Abrir |
Autorizacion.pdf Acceso restringido | Autorización del registro | 1.25 MB | Adobe PDF | Visualizar/Abrir Solicita una copia |
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