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

Igor Grigorev, Anatoly Shadrin, Sergey Katkov, Vyacheslav Borisov, Varvara Druzyanova, Irina Gnatovskaya, Roman Diev, Natalya Kaznacheeva, Dmitry Levushkin and Dmitriy Akinin
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Igor Grigorev: Department of Technology and Equipment of Forest Complex, Yakut State Agricultural Academy, Yakutsk, Russian Federation
Anatoly Shadrin: Department of Technology and Equipment for Forestry Production, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation
Sergey Katkov: Department of Technology and Equipment for Forestry Production, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation
Vyacheslav Borisov: Department of Technology and Equipment for Forestry Production, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation
Varvara Druzyanova: Department of Operation of Road Transport and Auto Repair, Northeastern Federal University Named After MK Ammosov, Yakutsk, Russian Federation
Irina Gnatovskaya: Department of Technologies and Equipment of Timber Production, Bauman University - National Technological University, Mytishchi, Russian Federation
Roman Diev: Department of Technologies and Equipment of Timber Production, Bauman University - National Technological University, Mytishchi, Russian Federation
Natalya Kaznacheeva: Department of Technology and Equipment for Forestry Production, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation
Dmitry Levushkin: Department of Technology and Equipment for Forestry Production, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation
Dmitriy Akinin: Department of Transport and Technological Means and Equipment of the Forest Complex, Bauman University - National Technological University (Mytishchi Branch), Mytishchi, Russian Federation

Journal of Forest Science, 2021, vol. 67, issue 5, 212-218

Abstract: 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 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:67:y:2021:i:5:id:10-2020-jfs

DOI: 10.17221/10/2020-JFS

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