L. Van Der Westhuizen, I. A. Gorlach
Machine vision has given robots the advantage of gathering more information from the workspace around them. The enactment of machine vision to improve robotic performance is becoming an essential component for the amalgamation of robot technology in the manufacturing process. Machine vision increases the robot’s collaboration with the work setting and provides inordinate system flexibility. This paper describes a low-cost robotic vision system for assembling workpieces transported along a conveyor. The vision system identifies workpieces of different profiles and determines their respective coordinates as well as the orientation of the workpieces. Corresponding sorting algorithms are implemented in order to simulate the manufacturing environment. This paper will discuss the theory of image processing, equipment selected, experimental procedures and conclusions drawn. The vision algorithm will be presented in the paper. A low-cost vision sensor is to be implemented in order to perform object tracking as well as object detection to determine both the shape of the workpiece and the position of the workpiece relative to the camera. The controller is thus required to perform image processing and data acquisition. Coordinates and data are to be traversed between the controller and robot in real-time.
Machine vision, robotics, automation
Cite this paper
L. Van Der Westhuizen, I. A. Gorlach. (2018) Integration of Low-Cost Vision System with the Fanuc M-1ia Robot for Sorting and Assembly Operations. International Journal of Control Systems and Robotics, 3, 34-42