J. For. Sci., 2021, 67(5):212-218 | DOI: 10.17221/10/2020-JFS

Improving the quality of sorting wood chips by scanning and machine vision technologyOriginal Paper

Igor Grigorev*,1, Anatoly Shadrin2, Sergey Katkov2, Vyacheslav Borisov2, Varvara Druzyanova3,4, Irina Gnatovskaya5, Roman Diev5, Natalya Kaznacheeva2, Dmitry Levushkin2, Dmitriy Akinin6
1 Department of Technology and Equipment of Forest Complex, Yakut State Agricultural Academy, Yakutsk, Russian Federation
2 Department of Technology and Equipment for Forestry Production, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation
3 Department of Operation of Road Transport and Auto Repair, Northeastern Federal University Named After MK Ammosov, Yakutsk, Russian Federation
4 Department of Technological Systems in the Agricultural Sector, Yakut State Agricultural Academy, Yakutsk, Russian Federation
5 Department of Technologies and Equipment of Timber Production, Bauman University - National Technological University, Mytishchi, Russian Federation
6 Department of Transport and Technological Means and Equipment of the Forest Complex, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation

Improving the quality of sorting wood waste is the main problem in the timber industry from the point of view of saving energy resources and preserving the environment, associated with the intensity of forest harvesting. Depending on the required quality characteristics, the sorting of wood chips makes it possible to determine their further use in production or utilization as a fuel. This paper presents the results of the development of a novel approach to sorting wood chips on a conveyor belt using machine learning and scanning technology. The proposed methodology includes functions to analyze the fractional size distribution among wood chips and rot detection. It shows that once a defective unit is detected, the quality control system will automatically remove it from the conveyor belt while it is moving. The minimization of wood waste will reduce logging intensity and increase the profitability of lumber enterprises.

Keywords: image processing; laser scanning; machine vision; Otsu method; wood; wood chips

Published: May 12, 2021  Show citation

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Grigorev I, Shadrin A, Katkov S, Borisov V, Druzyanova V, Gnatovskaya I, et al.. Improving the quality of sorting wood chips by scanning and machine vision technology. J. For. Sci. 2021;67(5):212-218. doi: 10.17221/10/2020-JFS.
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