Training of the neural network system in the task of detecting blue stain in a sawmill wood inspection system

Piotr Wolszczak; Grzegorz Kotnarowski; Arkadiusz Małek; Grzegorz Litak; Agnieszka Posturzyńska

doi:10.20944/preprints202402.0035.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 31 January 2024 / Approved: 1 February 2024 / Online: 1 February 2024 (11:14:21 CET)

The article presents the operation of the automatic pine sawn timber inspection system, which was developed at the Woodinspector company and offered commercially. The vision inspection system is used to detect various wood defects, including knots, blue stain, and mechanical damage caused by worms. Blue stain is a defect that is difficult to detect based on the color of the wood, because it can be easily confused with wood defects or dirt that do not impair its strength properties. In particular, the issues of detecting blue stain in wood, the use of artificial neural networks and improving the operation of the system in production conditions were discussed.

machine vision; vision system; wood inspection; neural networks

Engineering, Control and Systems Engineering

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Training of the neural network system in the task of detecting blue stain in a sawmill wood inspection system

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