Optimization of Image Acquisition Quality for Failure Components of Machine Vision System

• Main Authors: Poi-Jhih Wang, 王柏智
• Other Authors: 黃乾怡
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/rgw528

碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 105 === The interior design elements become more complicated along with the development of technology packaging industry. Its easy for those elements to fail with assault, and its important for detection method to grasp the situation of packaging. Dye Stain Analysis is frequently performed in the test of failure samples and the industry developed an automatic identification software based on machine vision system to assist engineers. However, owing to the poor quality of the image using in the software, the effect is extremely poor. This research will performed Taguchi Method by using orthogonal array compounded with Principal component analysis for checking control and noise factors’ performance on optimization of image acquisition. The results show we can enhance the recognition system effectiveness and narrow the variation of identified performance through parameter design.