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  • 标题:Pipe clogging in the fertilizer industry, opportunities and challenges for computer vision
  • 本地全文:下载
  • 作者:Jovania Dias ; Marta Duarte ; Victor Coch
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:12008-12013
  • DOI:10.1016/j.ifacol.2020.12.732
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn the context of industry 4.0 where the use of new technologies is required to meet productivity and profitability demands, this paper addresses 3D scanning, thermal imaging and computer vision to identify pipe clogging caused by waste accumulation in the fertilizer industry. This paper presents a study using thermal images and the use artificial neural network to model the waste distribution in industrial pipes.
  • 关键词:KeywordsComputer visionimage modellingindustry automationInfrared detectorsfertilizers
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