Skip to Main Content
A Multisensor Machine Vision System for Hardwood Defect DetectionAuthor(s): Richard W. Conners; Tai-Hoon Cho; Chong T. Ng; Thomas T. Drayer; Philip A. Araman; Robert L. Brisbon
Source: Proceedings, Process Control/Production Management of Wood Products: Technology for the 90's. pp. 99-111.
Publication Series: Miscellaneous Publication
PDF: View PDF (347 KB)
DescriptionOver 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.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationConners, 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.
- Automation for Primary Processing of Hardwoods
- Computer Vision Hardware System for Automating Rough Mills of Furniture Plants
- A Machine Vision System for Automatically Grading Hardwood Lumber - (Industrial Metrology)
XML: View XML