Method and system for characterizing undebarked wooden logs and computing optimal debarking parameters in real time
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United States of America
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Dec 10, 2024
Grant Date -
Mar 3, 2022
app pub date -
Aug 26, 2021
filing date -
Aug 26, 2021
priority date (Note) -
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Abstract
A method for characterizing undebarked wooden logs and computing optimal debarking parameters in real time is provided. The method comprises a scanning device upstream of a debarker for providing data, usually in the form of images, to a deep learning algorithm model. The model may be trained with human assistance or not to detect and identify, with an acceptable amount of certainty, characteristics of undebarked logs. The characteristics are used in an optimization software and classified in an index table. The index table is used to determine optimized parameters for debarking the log.
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