- 學位論文
改善擴散板表面缺陷的自動化檢測能力
Improvement of Automatic Inspection Capability for Surface Defects on Diffuser Plate
摘要
擴散板 (Diffuser Plate) 在生產過程中常因表面黑點缺陷數量過多，而影響產品良率。為了降低售出產品的黑點缺陷的比率及相關客訴賠償成本，本研究利用基本品質管制方法針對自動光學檢測系統 (Automated Optical Inspection, AOI) 設備的設定參數進行改善，以期有效的在製造過程中檢測出不良品。研究重點在找出檢測設備的最佳參數，使 CCD (Charge-Coupled Device-感光耦合元件) 攝影機達到檢測的最佳精度(resolution)。進而提升黑點缺陷的檢出能力，使誤判率降低，達成黑點缺陷客訴件數降低。數據分析實驗結果顯示，擴散板黑點缺陷的誤判率比改善前降低了22%。最佳參數值的設定，也改進了自動光學檢測系統的穩定性，相對有效改善生產力。
並列摘要
Black spot defect has significant influence on product yield rate of Diffuser Plate. In order to reduce the defect rate of black spot on finished product and associated customer complaints and compensation, this study applied basic quality control techniques on evaluation and improvement of the Automated Optical Inspection (AOI) setup parameters for the associated equipments with focus on effective detection of defectives on production process. Key study is emphasized on determining setup parameters of the CCD (Charge-Coupled Device) camera for achieving its optimal resolution. The black spot detection capability can be enhanced that leads to reduced false reject rate. Data analysis from the experiment results showed that false reject rate of black spots in Diffuser Plate can be reduced by 22%, compared with the rate before the improvement. The optimal parameters determination also improved the stability of the AOI system which leads to productivity improvement.