An Inspection System for Detecting Defects on Chip
碩士 === 國立交通大學 === 資訊科學學系 === 83 === An image inspection system for detecting defects on chip is developed. The system can automatically inspect defects of chips on wafer after operator's alignment.The system consists of three parts: 1...
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ndltd-TW-083NCTU03940532015-10-13T12:53:37Z http://ndltd.ncl.edu.tw/handle/79258641590958327275 An Inspection System for Detecting Defects on Chip 晶粒表面缺陷的檢測系統 Ren-Kewi Yang 楊仁魁 碩士 國立交通大學 資訊科學學系 83 An image inspection system for detecting defects on chip is developed. The system can automatically inspect defects of chips on wafer after operator's alignment.The system consists of three parts: 1. image acquisition, 2. image preprocessing, 3. defect detection. A chip to be inspected has three parts which are bonding pad, active region, and edge region. In bonding pad, the defect is coating.In active region, the defects are abnormal spots and scratches. In edge region, the defects are scratch and crack. These three parts are inspected sequentially for their defects. Good chip must pass all inspections of these three parts. Otherwise, chip is classified into bad chip without the inspection of next part when one part is rejected. Experimental result shows that the recognition rate of good chip can reach 99.21% and the recognition rate of bad chip can reach 90.48%.For inspection time, the average time of inspecting one chip by the system is about 6327.5 ms. Kou-Yuan Huang 黃國源 1995 學位論文 ; thesis 50 en_US |
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碩士 === 國立交通大學 === 資訊科學學系 === 83 === An image inspection system for detecting defects on chip is
developed. The system can automatically inspect defects of
chips on wafer after operator's alignment.The system consists
of three parts: 1. image acquisition, 2. image preprocessing,
3. defect detection. A chip to be inspected has three
parts which are bonding pad, active region, and edge region.
In bonding pad, the defect is coating.In active region, the
defects are abnormal spots and scratches. In edge region, the
defects are scratch and crack. These three parts are
inspected sequentially for their defects. Good chip must
pass all inspections of these three parts. Otherwise, chip is
classified into bad chip without the inspection of next part
when one part is rejected. Experimental result shows that the
recognition rate of good chip can reach 99.21% and the
recognition rate of bad chip can reach 90.48%.For inspection
time, the average time of inspecting one chip by the system is
about 6327.5 ms.
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author2 |
Kou-Yuan Huang |
author_facet |
Kou-Yuan Huang Ren-Kewi Yang 楊仁魁 |
author |
Ren-Kewi Yang 楊仁魁 |
spellingShingle |
Ren-Kewi Yang 楊仁魁 An Inspection System for Detecting Defects on Chip |
author_sort |
Ren-Kewi Yang |
title |
An Inspection System for Detecting Defects on Chip |
title_short |
An Inspection System for Detecting Defects on Chip |
title_full |
An Inspection System for Detecting Defects on Chip |
title_fullStr |
An Inspection System for Detecting Defects on Chip |
title_full_unstemmed |
An Inspection System for Detecting Defects on Chip |
title_sort |
inspection system for detecting defects on chip |
publishDate |
1995 |
url |
http://ndltd.ncl.edu.tw/handle/79258641590958327275 |
work_keys_str_mv |
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