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    Author(s): D. Earl Kline; Richard W. Conners; Daniel L. Schmoldt; Philip A. Araman; Robert L. Brisbin
    Date: 1993
    Source: Proceedings, 5th International Conference on Scanning Technology and Process Control for the Wood Products Industry. pp. 1-12.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (182 KB)

    Description

    A multiple sensor machine vision prototype is being developed to scan full size hardwood lumber at industrial speeds for automatically detecting features such as knots holes, wane, stain, splits, checks, and color. The prototype integrates a multiple sensor imaging system, a materials handling system, a computer system, and application software. The prototype provides a unique general purpose research facility so that a variety of different industry-scale problems can be addressed in both primary and secondary hardwood manufacturing.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Kline, D. Earl; Conners, Richard W.; Schmoldt, Daniel L.; Araman, Philip A.; Brisbin, Robert L. 1993. A Multiple Sensor Machine Vision System for Automatic Hardwood Feature Detection. Proceedings, 5th International Conference on Scanning Technology and Process Control for the Wood Products Industry. pp. 1-12.

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