Study on Inspection Method for Flexible Flat Cable Connector Surface Defects
碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 100 === Flexible Flat Cable Connector products are mainly used to supply power or transmit internal signal for electronic products. With the development of information industry in 3C, electronic connectors grow rapidly for a wide range of high performance require...
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ndltd-TW-100KUAS86930822015-10-13T22:01:10Z http://ndltd.ncl.edu.tw/handle/79497562847853932517 Study on Inspection Method for Flexible Flat Cable Connector Surface Defects FFC軟性連接器表面瑕疵檢測方法之研究 Chen, Chien-Yuan 陳建元 碩士 國立高雄應用科技大學 機械與精密工程研究所 100 Flexible Flat Cable Connector products are mainly used to supply power or transmit internal signal for electronic products. With the development of information industry in 3C, electronic connectors grow rapidly for a wide range of high performance requirements. Connector material belongs to thin and flat copper, therefore the high reflection surfaces make the product defects on surface cannot be effectively inspected. Currently in the industry the surface defects on FFT relies on human inspection, therefore, the low detection efficiency and the highly time-consuming process result in poor inspection stability for quality control. This research use machine vision technology for FFC connector surface defects detection. The best detection parameters and image processing methods are explored including the spotlight angle, CCD camera angle, and defect identification program design and system implementation. After image analysis, some useful information can be obtained. A machine vision prototyping system is developed to demonstrate the in-process surface defects inspection for FFC. Research results show that when the conductor protrusion, conductor impurity and off gold types of surface defects are tend to inspected, 75 degrees bright field of front lighting method can result in the best defect highlighted. When the scratch type of surface defects are tend to inspected, 15 degrees front lighting can effectively highlight the defects. When the conductor warping types of surface defects are tend to inspected, 90 degrees oblique lighting conditions can result in the best image quality. By using the above lighting methods, the surface defects on FFC can be identified with a few image process technologies so as to detect the size and location of surface defects effectively. Hsu, Quang-Cherng 許光城 學位論文 ; thesis 82 zh-TW |
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碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 100 === Flexible Flat Cable Connector products are mainly used to supply power or transmit internal signal for electronic products. With the development of information industry in 3C, electronic connectors grow rapidly for a wide range of high performance requirements. Connector material belongs to thin and flat copper, therefore the high reflection surfaces make the product defects on surface cannot be effectively inspected. Currently in the industry the surface defects on FFT relies on human inspection, therefore, the low detection efficiency and the highly time-consuming process result in poor inspection stability for quality control.
This research use machine vision technology for FFC connector surface defects detection. The best detection parameters and image processing methods are explored including the spotlight angle, CCD camera angle, and defect identification program design and system implementation. After image analysis, some useful information can be obtained. A machine vision prototyping system is developed to demonstrate the in-process surface defects inspection for FFC.
Research results show that when the conductor protrusion, conductor impurity and off gold types of surface defects are tend to inspected, 75 degrees bright field of front lighting method can result in the best defect highlighted. When the scratch type of surface defects are tend to inspected, 15 degrees front lighting can effectively highlight the defects. When the conductor warping types of surface defects are tend to inspected, 90 degrees oblique lighting conditions can result in the best image quality. By using the above lighting methods, the surface defects on FFC can be identified with a few image process technologies so as to detect the size and location of surface defects effectively.
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author2 |
Hsu, Quang-Cherng |
author_facet |
Hsu, Quang-Cherng Chen, Chien-Yuan 陳建元 |
author |
Chen, Chien-Yuan 陳建元 |
spellingShingle |
Chen, Chien-Yuan 陳建元 Study on Inspection Method for Flexible Flat Cable Connector Surface Defects |
author_sort |
Chen, Chien-Yuan |
title |
Study on Inspection Method for Flexible Flat Cable Connector Surface Defects |
title_short |
Study on Inspection Method for Flexible Flat Cable Connector Surface Defects |
title_full |
Study on Inspection Method for Flexible Flat Cable Connector Surface Defects |
title_fullStr |
Study on Inspection Method for Flexible Flat Cable Connector Surface Defects |
title_full_unstemmed |
Study on Inspection Method for Flexible Flat Cable Connector Surface Defects |
title_sort |
study on inspection method for flexible flat cable connector surface defects |
url |
http://ndltd.ncl.edu.tw/handle/79497562847853932517 |
work_keys_str_mv |
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