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dc.contributor.authorKunickaya, O. A.en
dc.contributor.authorBurmistrova, O. N.en
dc.contributor.authorHertz, E. F.en
dc.contributor.authorIvanov, V. A.en
dc.contributor.authorNazarova, I. G.en
dc.contributor.authorTanyukevich, V. V.en
dc.contributor.authorSemenyutina, A. V.en
dc.contributor.authorSidorov, M. M.en
dc.contributor.authorFedorova, P.en
dc.contributor.authorOhlopkova, M.en
dc.date.accessioned2020-07-22T07:27:01Z-
dc.date.available2020-07-22T07:27:01Z-
dc.date.issued2020-
dc.identifier.citationUsing 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.en
dc.identifier.issn1742-6588-
dc.identifier.urihttps://elar.usfeu.ru/handle/123456789/9827-
dc.description.abstractThis 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.en
dc.language.isoenen
dc.publisherInstitute of Physics Publishingen
dc.rightsOpen Accessen
dc.sourceJournal of Physics: Conference Seriesen
dc.subjectINDUSTRIAL PROCESS OPTIMIZATIONen
dc.subjectMACHINE VISIONen
dc.subjectTIMBER MECHANICSen
dc.subjectTIMBER TREATMENTen
dc.titleUsing Machine Vision to Improve the Efficiency of Lumber Millsen
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
local.issue1-
local.volume1478-
local.identifier.doi10.1088/1742-6596/1478/1/012020-
local.identifier.rsi43276950-
local.identifier.eid2-s2.0-85086068787-
local.description.order12020-
local.identifier.ednFECZNW-
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