A Multiple Sensor Machine Vision System for Automatic Hardwood Feature Detection

D. Earl Kline; Richard W. Conners; Daniel L. Schmoldt; Philip Araman; Robert L. Brisbin

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A Multiple Sensor Machine Vision System for Automatic Hardwood Feature Detection

Informally Refereed

Authors:

D. Earl Kline, Richard W. Conners, Daniel L. Schmoldt, Philip Araman, Robert L. Brisbin

Year:

1993

Type:

Scientific Journal

Station:

Southern Research Station

Source:

Proceedings, 5th International Conference on Scanning Technology and Process Control for the Wood Products Industry. pp. 1-12.

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Abstract

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.

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.