The Development of an Automatic Dual Camera Recognizing and Sorting System Bases on the PLC and PC-based Motion Control

• Main Authors: Jian-Liang Xiao, 蕭建良
• Other Authors: 陳俊仁
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/fc4uka

碩士 === 國立虎尾科技大學 === 自動化工程系碩士班 === 105 === Machine vision inspection system is only taken an industrial camera typically. But if the inspected samples are accompanied by a large quantity, a small size, a variety of shapes and colors. The scope and resolution of the image is limited when using only one industrial camera. This paper developed a dual cameras inspection system, set up two industrial cameras and image resolutions are 0.162 mm. They shoot two parts of the inspection board with an area size of 27.5×37 cm2. The samples to be inspected have four shapes and six colors, the thickness is 1 mm and the area is no more than 1 cm2 of acrylic. Using the self-developed gantry automatic sorting machine to suck up the samples and sort them. In this study, the image learning is based on twenty-four samples of colors, shapes and grayscale values to establish the database, and performs that when the HMI starts for the first time. The image learning takes about 22.434 sec. The image recognition is based on the image of the database, and the detection of the sample is defined as the most similar with the type of value. The image recognition takes of a sample is about 0.024 sec. The gantry automation sorting machine of the X, Y-axis actuating element is the lead screw, the Z-axis is the pneumatic cylinder, and the A-axis is the stepping motor. The machine uses a vacuum to suck up the recognized sample, rotate the A-axis to change its placement angle and move to the specified position. In addition, this study also using the PLC and PC axis card control the machine to compare the sorting speed. The research shows that average single time of the PLC and PC-based are respectively 1.737 sec and 1.853 sec.