A three dimensional (3D) vision based defect inspection system for gluing application

A Robot Vision System (RVS) is an adaptive and dynamic system that caters to a wide range of jobs where each involves a set of operations required to be done at a predetermined workstation. This research is focused on the development of a vision system to be integrated with KUKA arm robot. Pyramid o...

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Main Author:	Harun, Mohamad Haniff
Format:	Thesis
Language:	English English
Published:	2013
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/11219/3/Complete_Thesis_%28Mohamad_Haniff_bin_Harun%29_-_with_Sign.pdf http://eprints.utem.edu.my/id/eprint/11219/6/A%20three%20dimensional%20%283D%29%20vision%20based%20defect%20inspection%20system%20for%20gluing%20application.pdf
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id	my-utem-ep.11219
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spelling	my-utem-ep.112192022-04-20T10:21:50Z A three dimensional (3D) vision based defect inspection system for gluing application 2013-03 Harun, Mohamad Haniff T Technology (General) TJ Mechanical engineering and machinery A Robot Vision System (RVS) is an adaptive and dynamic system that caters to a wide range of jobs where each involves a set of operations required to be done at a predetermined workstation. This research is focused on the development of a vision system to be integrated with KUKA arm robot. Pyramid object is used as a complimentary of the windscreen car as a model. It developed using plain cardboard with dimension of 15cm x 15cm. 2D matching application introduced to identify the characteristic of the object used in the system using CCD camera. Object used must be trained in training phase to create object template and used again in recognition phase for object classification. Then, two CCD cameras are used; placed at the top and front of the object to extract object’s edge location using Harris Point. Data extracted from it are used to find 3D coordination of each edge. Equation of straight line mostly used in this method to identify x, y and z coordinates. Data obtained from the system then used to give instruction to KUKA arm robot for gluing purposes. Pixel coordinates must be converted to robot coordinates for easier understanding by the robot. Three types of defect are trained as model templates and save to the memory known as bumper, gap and bubble defect. Each defect has special characteristic. Inspection system developed to identify problems occurs in gluing process. Template matching method used to call model trained in training phase to identify the uncertainties. Each defect occurs comes with its coordinate’s information for correction. Correction of defect consists of two phase; 1st CoD where correction is completed in first time and 2nd CoD where correction still need to be completed after the first correction. Data for all the process are recorded to prove that this algorithm made improvement with the previous research. 2013-03 Thesis http://eprints.utem.edu.my/id/eprint/11219/ http://eprints.utem.edu.my/id/eprint/11219/3/Complete_Thesis_%28Mohamad_Haniff_bin_Harun%29_-_with_Sign.pdf text en public http://eprints.utem.edu.my/id/eprint/11219/6/A%20three%20dimensional%20%283D%29%20vision%20based%20defect%20inspection%20system%20for%20gluing%20application.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=85285 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Electrical Engineering
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Harun, Mohamad Haniff A three dimensional (3D) vision based defect inspection system for gluing application
description	A Robot Vision System (RVS) is an adaptive and dynamic system that caters to a wide range of jobs where each involves a set of operations required to be done at a predetermined workstation. This research is focused on the development of a vision system to be integrated with KUKA arm robot. Pyramid object is used as a complimentary of the windscreen car as a model. It developed using plain cardboard with dimension of 15cm x 15cm. 2D matching application introduced to identify the characteristic of the object used in the system using CCD camera. Object used must be trained in training phase to create object template and used again in recognition phase for object classification. Then, two CCD cameras are used; placed at the top and front of the object to extract object’s edge location using Harris Point. Data extracted from it are used to find 3D coordination of each edge. Equation of straight line mostly used in this method to identify x, y and z coordinates. Data obtained from the system then used to give instruction to KUKA arm robot for gluing purposes. Pixel coordinates must be converted to robot coordinates for easier understanding by the robot. Three types of defect are trained as model templates and save to the memory known as bumper, gap and bubble defect. Each defect has special characteristic. Inspection system developed to identify problems occurs in gluing process. Template matching method used to call model trained in training phase to identify the uncertainties. Each defect occurs comes with its coordinate’s information for correction. Correction of defect consists of two phase; 1st CoD where correction is completed in first time and 2nd CoD where correction still need to be completed after the first correction. Data for all the process are recorded to prove that this algorithm made improvement with the previous research.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Harun, Mohamad Haniff
author_facet	Harun, Mohamad Haniff
author_sort	Harun, Mohamad Haniff
title	A three dimensional (3D) vision based defect inspection system for gluing application
title_short	A three dimensional (3D) vision based defect inspection system for gluing application
title_full	A three dimensional (3D) vision based defect inspection system for gluing application
title_fullStr	A three dimensional (3D) vision based defect inspection system for gluing application
title_full_unstemmed	A three dimensional (3D) vision based defect inspection system for gluing application
title_sort	three dimensional (3d) vision based defect inspection system for gluing application
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utem.edu.my/id/eprint/11219/3/Complete_Thesis_%28Mohamad_Haniff_bin_Harun%29_-_with_Sign.pdf http://eprints.utem.edu.my/id/eprint/11219/6/A%20three%20dimensional%20%283D%29%20vision%20based%20defect%20inspection%20system%20for%20gluing%20application.pdf
_version_	1747833801446260736

A three dimensional (3D) vision based defect inspection system for gluing application

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