Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Powsiri Klinkhachorn; J. Moody; Philip A. Araman
    Date: 1995
    Source: Proceedings, Twenty-Third Annual Hardwood Symposium. 77-83.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (88 KB)

    Description

    For the past few decades, researchers have devoted time and effort to apply automation and modern computer technologies towards improving the productivity of traditional industries. To be competitive, one must streamline operations and minimize production costs, while maintaining an acceptable margin of profit. This paper describes the effort of one such endeavor directed towards improving the hardwood lumber industry in the U.S.A. -specifically to automatically grade and analyze hardwood lumber. Automated lumber grading will be plausible for hardwoods when lumber scanning systems can reliably identify all defects by type. The potential worth of a scanning grading system depends on the accuracy and reliability of the computer-assigned grades compared to the performance of human graders. This paper presents the preliminary results of the scanning-grading system compared to manual lumber grading using NHLA rules. The system uses a nondestructive vision system to scan a hardwood lumber board for its dimension and the location and type of surface defects. This information is then used to determine a lumber grade. The scanning-grader results indicated that seven out of fifteen manually graded boards were graded too high. Initial results also showed that the scanner is missing parts of defects and also misclassifying some clear wood as defective.

    Publication Notes

    • You may send email to pubrequest@fs.fed.us 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.

    Citation

    Klinkhachorn, Powsiri; Moody, J.; Araman, Philip A. 1995. Automated Lumber Processing. Proceedings, Twenty-Third Annual Hardwood Symposium. 77-83.

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page