Automatic identification of conveyer-transferred parts through image data processing

To automate assembly lines, we have tested and evaluated various methods on part discrimination for a model conveyer line. An advanced method is developed on tracking and picking up a specified part among a variety of parts on a moving conveyer. The method consists of a part shape discrimination analysis following the image processing of CCD camera shots for on-conveyer parts. The fuzzy inference method has been founded to be the best one for the part discrimination. The arm control without stopping the conveyer line has been realized only by giving the timings of the arm start-up from waiting position and the arm deceleration to keep the same speed of the conveyer. >