透過您的圖書館登入
IP:216.73.216.60
  • 學位論文

視覺系統應用於標籤印字檢驗之研究

Study of Vision Systems for Label-Marking Inspection

指導教授 : 吳燦明
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


視覺系統(Vision System) 被廣泛應用於不同工業領域的製程品質監控,為了確保製造產品為最嚴格的品質要求,對於生產製造商而言,視覺系統其檢測邏輯的可編輯性、重複性和一致性的量測結果,是其製程中最佳的選擇。因利用人工從事產品特徵的判斷,會因長時間的工作,造成眼睛疲勞與精神不佳而產生品質不良,使用視覺系統技術的優點是可應用於製造系統中,用來測量、檢查、驗證幾何尺寸和零件完整性,並在製造過程中紀錄及監控品質的相關資訊。 本技術報告利用基恩斯(KEYENCE)視覺系統結合自動化設備檢測,找出受檢測區域(Region of Interest, ROI),經過影像處理過程後,將影像量測到之數值與設定之標準值做比較,自動檢測標籤印字的相似度,並依據設計規格來設定標準值判斷標籤之品質要求,降低檢驗時間與人力成本。

並列摘要


The Vision System has been widely used for monitoring the process quality in different industrial fields. To ensure that the manufactured products satisfy the most stringent quality requirements, for manufacturers, the most important matter lies in the logical detection of the vision system with edit-ability, consistency, and repeatability in measurement results. The manual judgment of the product characteristics can result in poor quality due to long hours of work which causes inspectors with poor mental and physical exhaustion. On the other hand, the use of the vision technology in manufacturing systems can not only measure, inspect, and verify the geometrical size and integrity but also record and monitor quality information of the products during the manufacturing process. In this technical report, we first combine the KEYENCE vision system with the automated equipment detection to find the Region of Interest (ROI). After image processing, we have compared the measured values of the image with the standard values for pattern matching to detect the similarities between the label printing and the standard values for judging the quality requirements according to the design specifications, which will reduce the inspection time and labor cost.

並列關鍵字

Vision System Inspection Pattern Matching

參考文獻


[1]經濟部中小企業處, 中小企業處統計報表-行業別, 97年中小企業重要統計表,2009.
[2]Rong-Jian Chen and Jui-Lin Lai, Novel approach and system for automatic PCB visual inspection using hybrid flaw detection, Journal of National Llen-Ho Institure of Technology, Vol.17, pp. 175-183, 2000.
[3]Tsorng-Lin Chia, and Win-Jun Cherng, A Parallel Algorithm for Computing Curvatures of Object Contours in a Binary Image, Journal of C.C.I.T., Vol. 27, No. 2,Jan, 1998.
[4]李芳繁, 以影像處理量測檸檬之幾何性質, 農業工程學報36(3), pp. 36-42, 1990.
[5]吳成柯等編譯, 數位影像處理, 儒林出版, 台北, 1993.

延伸閱讀