Application of Machine Vision to the Inspection of LED Lead Frame
碩士 === 中華大學 === 機械工程學系碩士班 === 103 === It is important to discover any defect occurring on the surface of a LED lead frame. Undetected flaws might lower luminous efficiency or even fail to illuminate. In view of that we integrate stage control, lighting, and image processing techniques to develop an...
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ndltd-TW-103CHPI54890142017-02-19T04:30:57Z http://ndltd.ncl.edu.tw/handle/01715449850469054428 Application of Machine Vision to the Inspection of LED Lead Frame 機械視覺應用於LED導線架之檢測 HAN,HUAN-JI 韓煥奇 碩士 中華大學 機械工程學系碩士班 103 It is important to discover any defect occurring on the surface of a LED lead frame. Undetected flaws might lower luminous efficiency or even fail to illuminate. In view of that we integrate stage control, lighting, and image processing techniques to develop an automated optical inspection system that is specifically designed to inspect LED lead frame surfaces for the following four kinds of flaws, namely, scratches, oil stains, foreign particles, and functional defected. To successfully detect the aforementioned flaws located at the functional region, we first search the image under test for the pre-defined pattern. After that we extract the pre-defined region of interested (ROI) from the test image. As soon as the desired ROIs were successfully segmented, a pre-defined flaw detection procedure is applied to check if there are any defects. Experimental results show that the proposed system can finish the inspection of a 1024 x 1024 image in 0.3 second and the flaw detection rate is 95.95%. In summary, the developed inspection system and method can not only replace the convention inspection method, but also increase the accuracy and efficiency of LED lead frame inspection. chiou, yih-chih 邱奕契 2015 學位論文 ; thesis 61 zh-TW |
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碩士 === 中華大學 === 機械工程學系碩士班 === 103 === It is important to discover any defect occurring on the surface of a LED lead frame. Undetected flaws might lower luminous efficiency or even fail to illuminate. In view of that we integrate stage control, lighting, and image processing techniques to develop an automated optical inspection system that is specifically designed to inspect LED lead frame surfaces for the following four kinds of flaws, namely, scratches, oil stains, foreign particles, and functional defected.
To successfully detect the aforementioned flaws located at the functional region, we first search the image under test for the pre-defined pattern. After that we extract the pre-defined region of interested (ROI) from the test image. As soon as the desired ROIs were successfully segmented, a pre-defined flaw detection procedure is applied to check if there are any defects.
Experimental results show that the proposed system can finish the inspection of a 1024 x 1024 image in 0.3 second and the flaw detection rate is 95.95%. In summary, the developed inspection system and method can not only replace the convention inspection method, but also increase the accuracy and efficiency of LED lead frame inspection.
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author2 |
chiou, yih-chih |
author_facet |
chiou, yih-chih HAN,HUAN-JI 韓煥奇 |
author |
HAN,HUAN-JI 韓煥奇 |
spellingShingle |
HAN,HUAN-JI 韓煥奇 Application of Machine Vision to the Inspection of LED Lead Frame |
author_sort |
HAN,HUAN-JI |
title |
Application of Machine Vision to the Inspection of LED Lead Frame |
title_short |
Application of Machine Vision to the Inspection of LED Lead Frame |
title_full |
Application of Machine Vision to the Inspection of LED Lead Frame |
title_fullStr |
Application of Machine Vision to the Inspection of LED Lead Frame |
title_full_unstemmed |
Application of Machine Vision to the Inspection of LED Lead Frame |
title_sort |
application of machine vision to the inspection of led lead frame |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/01715449850469054428 |
work_keys_str_mv |
AT hanhuanji applicationofmachinevisiontotheinspectionofledleadframe AT hánhuànqí applicationofmachinevisiontotheinspectionofledleadframe AT hanhuanji jīxièshìjuéyīngyòngyúleddǎoxiànjiàzhījiǎncè AT hánhuànqí jīxièshìjuéyīngyòngyúleddǎoxiànjiàzhījiǎncè |
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