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基於深度學習之自動光學檢測演算法

建立日期:2018/10/22
  • 作者: 臺科大/徐碩駿、花凱龍;交通大學/鄭文皇
  • 出處: 2018 AOI論壇與展覽論文集
  • 內容: This thesis presents a general purpose defect detection method based on siamese CNN. Due to the high demand of automated optical inspection application, various AOI methods have been proposed. However, these AOI methods could be applied to limited scenarios or applications. To improve the versatility of AOI algorithm, in this thesis, we propose to utilize deep learning techniques in automatically learning data features to improve the generalization of AOI algorithm.
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