A Multisensor Machine Vision System for Hardwood Defect Detection

  • Author(s): Conners, Richard W.; Cho, Tai-Hoon; Ng, Chong T.; Drayer, Thomas T.; Araman, Philip A.; Brisbon, Robert L.
  • Date: 1990
  • Station ID: Miscellaneous Publication-SRS-

Abstract

Over the next decade there is going to be a substantial change in the way forest products manufacturing industries do business. The economic forces responsible for these changes include the heightened economic competition that will result from the new world economy and the continued increase in the cost of both raw material and labor. These factors are going to force companies to seek methods for reducing costs, for increasing productivity, and for improving quality control. The primary vehicle that will help companies accomplish these cost cutting and quality control objectives is going to be the microcomputer. Over the next decade microcomputers should be developed that can execute several hundreds of thousands of instructions per second. Perhaps the greatest impact this technology will have is that it will make machine vision systems for locating and identifying defects in lumber economically feasible. Unfortunately, wood is a very, very heterogeneous material. Hence developing machine vision systems for locating and identifying defects is not going to be an easy task. This paper describes research aimed at creating a general purpose machine vision technology for the forest products manufacturing industry.

  • Citation: Conners, Richard W.; Cho, Tai-Hoon; Ng, Chong T.; Drayer, Thomas T.; Araman, Philip A.; Brisbon, Robert L. 1990. A Multisensor Machine Vision System for Hardwood Defect Detection. Proceedings, Process Control/Production Management of Wood Products: Technology for the 90''s. pp. 99-111.

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