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Using New Technologies to Improve Log Defect Detection

Photo of High-resolution laser scan image of a log with detected defect areas highlighted and acoustic waves passing through. U.S. Department of Agriculture Forest Service.High-resolution laser scan image of a log with detected defect areas highlighted and acoustic waves passing through. U.S. Department of Agriculture Forest Service.Snapshot : Scientists from the Forest Service’s Forest Products Laboratory and Northern Research Station cooperated with West Virginia University to enhance the competitiveness of the U.S. hardwood lumber industry by improving the accuracy of log internal defect detection and maximizing log value recovery.

Principal Investigators(s) :
Wang, XipingThomas, Ed
Research Station : Forest Products Laboratory (FPL)
Year : 2016
Highlight ID : 1039

Summary

By improving internal log defect prediction, the hardwood lumber industry would be able to better maximize log value recovery. Forest Service scientists recently developed a high-resolution laser scanning system. This system shows promise for improving internal defect prediction and greatly improving lumber value; however, the system has some limitations on predicting unsound areas within a log based solely on solid-appearing surface defects. The scientists plan to combine acoustic wave data with high resolution laser scanning data to improve this system for defect detection and maximizing lumber recovery value.

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