Journal of Advances in Artificial Life Robotics
Online ISSN : 2435-8061
ISSN-L : 2435-8061
Research on online detection of wafer surface defects
Chundong ZhaoXiaoyan Chen Dongyang ZhangJianyong ChenKuifeng ZhuYanjie Su
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JOURNAL OPEN ACCESS

2020 Volume 1 Issue 2 Pages 91-95

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Abstract
With the development of integrated electronic circuit manufacturing technology, enterprises have put forward higher requirements for the quality of silicon chips. Aiming at the low efficiency of silicon wafer defect detection, this paper proposes an automatic defect detection method based on machine vision. The voiding algorithm based on flood fill can effectively extract the inner contour information of the wafer profile. A rotation correction algorithm is proposed to correct the wafer yaw angle. The actual wafer was used to verify the performance of the proposed method. The results show that the proposed method is effective in detection accuracy.
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© 2020 ALife Robotics Corporation Ltd.

この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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