An Application Of Computer Vision Techniques For Programming CNC Milling Machines

Abstract

ABSTRACT Computer vision is a multi-disciplinary subject, utilizing techniques drawn from optics, electronic, mechanical engineering, computer science, and artificial intelligence. Recognizing that computer vision is just a component of a large automation system, it is important to recognize that the discipline of computer vision is presently undergoing a maturing process, with sophisticated techniques drawn from current research being exploited more and more in industrial systems. As in most developing fields, not all aspects of machine vision that are of interest to active researches are useful to the designers of a vision system for a specific application. A designer needs to know basic concepts and techniques to be successful in designing or evaluating a vision system for a particular application. In this work, computer vision produces measurements or abstractions from geometrical properties, so it may be useful to remember the following equation: Vision = Geometry + Measurement + Interpretation Computerized Numerical Control (CNC) is the process of manufacturing machined parts in a production environment, (:.s controlled and allocated by a computerized controller that uses motors to drive each axis. The controller actually controls the direction, speed, and length of time of each motor rotates. A programmed path is loaded into the machine's computer by the operator and then executed. Numerical control (NC) is the original term given to this technology and today is still used by much I I interchangeability with CNC. The field of interest in this work is to apply the computer vision techniques on images, which captured for products using special type of industrial cameras called CCD (Couple Charged Device) camera. The captured images are analyzed and processed, then all objects (lines, arcs and circles) in the images are extracted and classified. The dimensions of all extracted objects are also calculated.