The hardwood industry adds $17 billion to Indiana’s economy. Since 1898, the hardwood lumber industry has relied on the human eye to detect knots and other imperfections as a way of determining the quality of lumber.
Despite some inefficiencies, this form of grading persisted because experts were unable to replicate the process with automation. Today, however, a Purdue University professor is reporting a major development in the industry through a new high-speed scanning system that successfully identifies external and internal wood defects.
The new automation not only shaves the amount of time it takes to grade lumber, it significantly boosts the accuracy, said Rado Gazo, a professor for the Department of Forestry and Natural Resources in Purdue’s College of Agriculture. “Grading with the human eye is both physically and mentally challenging,” said Gazo, explaining the speed at which a professional grader must inspect lumber as it passes by. “It’s like driving in a blizzard.”
Gazo, along with Bedrich Benes, a Purdue professor of computer graphics technology, has been working on scanning technology for about 10 years, working on software technology that can detect and grade the millions of variations in lumber characteristics.
Through a partnership, Gazo and the Purdue Hardwood Scanning Center combined his software technology with MiCrotec’s Goldeneye scanner to introduce automated hardwood lumber grading to the hardwood industry.