| 摘要: | 本論文旨於建立一套新型且非接觸式的自動光學檢測系統(AOI, Automated Optical Inspection)並將之應用於工業磨片之表面結構分析與量化缺陷。此系統包含LED照明燈具、工業相機以及個人電腦。
此量測系統利用數位影像處理之技術，與一套自行撰寫的C++程式，將工業磨片表面缺陷檢測分為四大部分尺寸檢測、網目檢測、密度檢測、裂縫檢測，並在各個檢測實驗中模擬自動化生產可能發生之狀況並做重複性的實驗，來量化工業磨片之表面缺陷與訂定出檢測之閥值。
由於工業磨片其表面紋理結構較為複雜，所以本系統將會針對拍攝的影像進行高頻雜訊之濾除，再針對各個項目之影像進行影像處理，透過空間濾波、頻率域濾波、中值濾波、邊緣檢測、特徵檢測……等技術，來實現一量化工業磨片表面缺陷之自動光學檢測系統。
本文將此自動光學檢測系統應用於工業磨片自動生產之品質管理上，以改善傳統產業之品質管理所耗費的人力資源與成本，亦改善人眼檢測對檢測員造成的傷害，因此將非接觸式的自動光學檢測系統導入於工業磨片之檢測能大大提升檢測之精準度和量化各種不良之數值以利於後續品管之維持，提升產業的價值。
關鍵字： 機械視覺、自動化光學檢測(AOI)、工業磨片、缺陷檢測
;The main purpose of this study is to construct a non-contacted automated optical inspection and using this system to inspect the surface structure and to quantify the defect of grinding disc. This inspection system includes LED illumination device, industrial camera and a personal computer.
Using digital image process with C++ program based on OpenCV designed by ourselves, Grinding disc surface defects inspection are divided into four parts, dimension, mesh, density and crack respectively, Second, each experiment that simulate automated manufacture for fit problem of manufacturing carried out repetitive experimental, Third, measure and quantify the defect of grinding disc, Fourth, set the threshold to distinguish which grinding disc is good.
Cause grinding disc’s surface are complicated, this system focus on how to reduce high frequency noise, and using Fourier transform to solve this problem, and According to each experimental needs, use image process technique like space filter, median filter, Fourier transform, edge detection, feature detection...and so on, to achieve the automated optical inspection.
This study will be used on quality control of grinding disc of automated manufacture, to reduce the waste of human resource and to cost down, and to avoid the damage when someone is using their eye to inspect the quality of grinding disc, thus, developing this kind of automated optical inspection system into automated manufacture will increase accuracy of inspection and bring in lots of revenue.
Keyword: Computer vision, Automated Optical inspection(AOI), Grinding disc, Defect inspection |
