Please use this identifier to cite or link to this item:
Title: Using Machine Vision to Improve the Efficiency of Lumber Mills
Authors: Kunickaya, O. A.
Burmistrova, O. N.
Hertz, E. F.
Ivanov, V. A.
Nazarova, I. G.
Tanyukevich, V. V.
Semenyutina, A. V.
Sidorov, M. M.
Fedorova, P.
Ohlopkova, M.
Issue Date: 2020
Publisher: Institute of Physics Publishing
Citation: Using Machine Vision to Improve the Efficiency of Lumber Mills / O. A. Kunickaya, O. N. Burmistrova, E. F. Hertz [et al.] // Journal of Physics: Conference Series. – 2020. – Vol. 1478. – Iss. 1. – № 12020.
Abstract: This work provides rationale for the implementation of a machine vision-based approach for promoting timber processing efficiency. With efforts to combat the climate change, criteria for the success of wood industries shifted. Now, they need to ensure economic efficiency while taking the reduction in carbon intensity into account. This may be achieved in either of two ways, through the improvement of energy efficiency in production and by minimizing waste. So far, the traditional methods for the improvement of timber processing efficiency became obsolete. Hence, using advances in electronic engineering and machine vision may be viewed as a promising step. © Published under licence by IOP Publishing Ltd.
DOI: 10.1088/1742-6596/1478/1/012020
SCOPUS: 2-s2.0-85086068787
RSCI: 43276950
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85086068787.pdf979,73 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.