Automatic identification of conveyer-transferred parts through image data processing

Author

Okada, Saburo ; Imade, Masaaki ; Miyauchi, Hidekazu ; Sumimoto, Tetsuhiro ; Yamamoto, Hideki

Author_Institution

Chugoku Nat. Ind. Res. Inst., Hiroshima, Japan

Volume

2

fYear

1994

fDate

5-9 Sep 1994

Firstpage

719

Abstract

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

Keywords

CCD image sensors; assembling; conveyors; fuzzy logic; inference mechanisms; object recognition; CCD camera shots; assembly lines; automatic identification; conveyer-transferred parts; deceleration; fuzzy inference method; image data processing; image processing; part shape discrimination analysis; Assembly systems; Automatic control; Charge coupled devices; Charge-coupled image sensors; Data processing; Decision trees; Image processing; Robotic assembly; Shape; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on

Conference_Location

Bologna

Print_ISBN

0-7803-1328-3

Type

conf

DOI

10.1109/IECON.1994.397873

Filename

397873