Cover Image

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...

Full description

Saved in:
Bibliographic Details
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
http://eprints.utem.edu.my/id/eprint/11219/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=85285
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.11219
record_format eprints
spelling my.utem.eprints.112192022-04-20T10:21:50Z http://eprints.utem.edu.my/id/eprint/11219/ A three dimensional (3D) vision based defect inspection system for gluing application 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 NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/11219/3/Complete_Thesis_%28Mohamad_Haniff_bin_Harun%29_-_with_Sign.pdf text en http://eprints.utem.edu.my/id/eprint/11219/6/A%20three%20dimensional%20%283D%29%20vision%20based%20defect%20inspection%20system%20for%20gluing%20application.pdf Harun, Mohamad Haniff (2013) A three dimensional (3D) vision based defect inspection system for gluing application. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=85285
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
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
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
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
http://eprints.utem.edu.my/id/eprint/11219/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=85285
_version_ 1731229652054179840
score 13.211869

Similar Items