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Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing


Authors

  • Börold, A.
  • Teucke, M.
  • Rust, J.
  • Freitag, M.

Meta information [BibTeX]

  • Year: 2020, Reviewed
  • Ehmann, K. (Editors)
  • In: Procedia CIRP
  • Subtitle: 53nd CIRP Conference on Manufacturing Systems
  • Conference: 53nd CIRP Conference on Manufacturing Systems in Chicago, USA (July 1-3, 2020)
  • Publisher: Elsevier B.V, Amsterdam, NL
  • Pages: 377-382
  • ISSN: 2212-8271
  • DOI: 10.1016/j.procir.2020.03.142



Arbeitsgruppe BIBA



Börold, A.; Teucke, M.; Rust, J.; Freitag, M.
Recognition of car parts in automotive supply chains by combining synthetically generated training data with classical and deep learning based image processing
In: Ehmann, K. (eds.): Procedia CIRP. 53nd CIRP Conference on Manufacturing Systems. Elsevier B.V, Amsterdam, NL, 2020, pp. 377-382
(Workgroup: BIBA)
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