Case Study on Machine Vision-based Precision Measurement

• Main Authors: CHIEN, YU-CHEN, 簡佑丞
• Other Authors: LIAO, HSIEN-CHOU
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/mfh9rd

碩士 === 朝陽科技大學 === 資訊工程系 === 106 === The precise measurement is a common need in industrial manufacturing and visual measurement is one of the common practices. Therefore, this study aimed to discuss the application of industrial vision library (Euresys Open eVision) to the measurement system and the computer visual technology of Euresys Open eVision was used to measure the distance of the experimental object from the left side to the right side. First of all, in the visual measurement, the calibration piece was used to calculate the resolution relationship between image pixel and real distance; then Point Gauge function in the library was applied to look for sub-pixel edge, so as to determine the edge of the experimental object; in the end, the length was calculated according to the edge point measured. The purpose of this research is to make the measurement of length and specifications become more precise in industrial measurement. Aimed at the characteristic position to be measured of the experimental object, the sub-pixel edge detection technology in the industrial vision library is applied to complete a method. In the experimental results of case study, the resolution of a pixel is 0.072mm and 0.122mm, the actual length of experimental object is 85.693 mm and 11.567mm, and the maximum error measured by this study can be less than 0.02 mm.