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- W4233896802 abstract "摘要 影像測技術由於具有高速及非接觸性等優點，因此在工業中逐漸扮演著極重要的角色，除了一般常見的工件偵測、辨識、定位等功能外，影像感測技術的另一重要應用是形狀比對，經由形狀比對以達到自動化檢驗目的已成爲工廠自動化中確保產品品質的重要利器。而在高度自動化的生產線中，若要達到線上完全品質檢驗的目的，則往往需要有一高速檢測系統與之搭配，本硏究即針對鈑金沖壓件之高速檢驗需求，利用影像處理技術結合類神經網路學習與分析的能力，發展一影像比對系統，能夠快速的辨識出沖壓件瑕疵的存在，以確保高速沖床沖壓件之品質要求。本文將針對相關硬體的規劃，比對軟體的構思、發展過程及實驗成果作詳細介紹。" @default.
- W4233896802 created "2022-05-12" @default.
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- W4233896802 date "1999-03-01" @default.
- W4233896802 modified "2023-09-26" @default.
- W4233896802 title "結合影像處理與類神經網路之沖壓件檢測技術" @default.
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- W4233896802 doi "https://doi.org/10.1080/10170669.1999.10432945" @default.
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