Design and implementation of the moving workpiece sorting system based on LabVIEW
Haitao Zhu, Jianming Xu, Defeng He, Kexin Xing, Zhanglei Chen · 2014
The application of machine vision in the industry has been a hot research. The technology of sorting different workpieces on a conveyor belt has a higher demand in industrial production. This paper applies machine vision technology to build a moving workpiece sorting system. The development of image processing and workpiece recognition algorithm is based on LabVIEW Vision Development Module. The grabbing of the moving workpiece is through operation of the EPSON SCARA-G6 manipulator. The manipulator motion control algorithm is programmed based on the EPSON RC+5.0 development environment. Background subtraction method is used in position detection of the moving workpiece and real-time updates of the background can adapt to changes in the light. Linear regression (LR) method is used to fit the radial distortion matrix of the camera. With estimating the moving workpiece velocity by the visual system, the classical Kalman algorithm is applied to predict motion state of the workpiece. The results indicate that the developed system can continuously sort moving workpieces on the industrial assembly line.