Design and Implementation of XXYPositioning Stage based on Vision Servo Control
碩士 === 國立臺北科技大學 === 自動化科技研究所 === 100 === In this study, the micro-assembling task of the positioning system is discussed; an automatic micro-assembling system is built to replace manual operations by XXY three-axis micro-stepping positioning stage with the image recognition system.Study of a piezoel...
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ndltd-TW-100TIT051460012019-05-15T20:51:33Z http://ndltd.ncl.edu.tw/handle/76up2h Design and Implementation of XXYPositioning Stage based on Vision Servo Control 基於影像伺服控制之XXY定位平台的設計與實現 Wei-Hao Liao 廖偉豪 碩士 國立臺北科技大學 自動化科技研究所 100 In this study, the micro-assembling task of the positioning system is discussed; an automatic micro-assembling system is built to replace manual operations by XXY three-axis micro-stepping positioning stage with the image recognition system.Study of a piezoelectric inkjet head assembly of the specimen as assembly and testing of system components and C++ software, GIGAE CCD and the lens, DSP motion control card to integrate the XYY three-axis positioning stage system with image recognition system part of the completion of the sophisticated vision-servo positioning.For the coarse positioning task, the Sobel operator is used to find outline of positioning mark and we used Least-Mean-Square Error Algorithm to calculate center and radius. For the fine positioning task, the Hough transform is applied to find the straight line of the cross positioning mark.To result of this study show that, we use the neural network system improve to the stage of the institutions themselves caused the displacement error correction. We can improve the servo positioning accuracy of the application of image recognition. 林志哲 2012 學位論文 ; thesis 78 zh-TW |
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碩士 === 國立臺北科技大學 === 自動化科技研究所 === 100 === In this study, the micro-assembling task of the positioning system is discussed; an automatic micro-assembling system is built to replace manual operations by XXY three-axis micro-stepping positioning stage with the image recognition system.Study of a piezoelectric inkjet head assembly of the specimen as assembly and testing of system components and C++ software, GIGAE CCD and the lens, DSP motion control card to integrate the XYY three-axis positioning stage system with image recognition system part of the completion of the sophisticated vision-servo positioning.For the coarse positioning task, the Sobel operator is used to find outline of positioning mark and we used Least-Mean-Square Error Algorithm to calculate center and radius. For the fine positioning task, the Hough transform is applied to find the straight line of the cross positioning mark.To result of this study show that, we use the neural network system improve to the stage of the institutions themselves caused the displacement error correction. We can improve the servo positioning accuracy of the application of image recognition.
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author2 |
林志哲 |
author_facet |
林志哲 Wei-Hao Liao 廖偉豪 |
author |
Wei-Hao Liao 廖偉豪 |
spellingShingle |
Wei-Hao Liao 廖偉豪 Design and Implementation of XXYPositioning Stage based on Vision Servo Control |
author_sort |
Wei-Hao Liao |
title |
Design and Implementation of XXYPositioning Stage based on Vision Servo Control |
title_short |
Design and Implementation of XXYPositioning Stage based on Vision Servo Control |
title_full |
Design and Implementation of XXYPositioning Stage based on Vision Servo Control |
title_fullStr |
Design and Implementation of XXYPositioning Stage based on Vision Servo Control |
title_full_unstemmed |
Design and Implementation of XXYPositioning Stage based on Vision Servo Control |
title_sort |
design and implementation of xxypositioning stage based on vision servo control |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/76up2h |
work_keys_str_mv |
AT weihaoliao designandimplementationofxxypositioningstagebasedonvisionservocontrol AT liàowěiháo designandimplementationofxxypositioningstagebasedonvisionservocontrol AT weihaoliao jīyúyǐngxiàngcìfúkòngzhìzhīxxydìngwèipíngtáideshèjìyǔshíxiàn AT liàowěiháo jīyúyǐngxiàngcìfúkòngzhìzhīxxydìngwèipíngtáideshèjìyǔshíxiàn |
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1719105354430676992 |