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Wood Color-based Matching and Sorting

One of the first successful applications of WAY-2C was to sort unfinished red oak for flooring applications. The speed with which WAY-2C can be trained makes it possible to select representative samples representing the range of colors in a shipment, instantly train the system to recognize this range, and then automatically sort and/or label the entire shipment by color based on this training.

WAY-2C's powerful ability to differentiate objects, such as these cabinet doors, based on their color distributions usually produces results consistent with, but more reliable and much faster than human inspectors. Even orientation and natural variations, such as those due to wood grain or irregular outlines, which can defeat traditional mean and/or variance based matching, or pixel thresholding methods, are seldom, if ever, a problem.

Cherry cabinet door color: Honey 1
Cherry cabinet door color:Toffee
Maple cabinet door color: Frost
Cherry: Honey Cherry:Toffee Maple: Frost
Maple cabinet door color: Honey
Maple cabinet door color: Natural
Oak cabinet door color: Frost
Maple: Honey Maple: Natural Oak: Frost
Oak cabinet door color: Honey
Oak cabinet door color: Natural
Oak cabinet door color: Toffee
Oak: Honey Oak: Natural Oak: Toffee
WAY-2C can also be interfaced to barcode or other label printers to reduce the likelihood of mislabeling due to human error.

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Last Updated 4/28/06