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pro vyhledávání: '"Börold, A."'
Publikováno v:
In Procedia CIRP 2023 120:1089-1094
Publikováno v:
In Procedia CIRP 2020 93:377-382
Publikováno v:
In IFAC PapersOnLine 2020 53(2):10645-10650
Autor:
Börold, Axel, Freitag, Michael
Publikováno v:
In Procedia CIRP 2019 81:252-257
Publikováno v:
Procedia CIRP; January 2024, Vol. 126 Issue: 1 p957-962, 6p
Publikováno v:
Journal of Investigative Dermatology. 143:S176
Publikováno v:
Machines, Vol 6, Iss 4, p 53 (2018)
In many current supply chains, transport processes are not yet being monitored concerning how they influence product quality. Sensor technologies combined with telematics and digital services allow for collecting environmental data to supervise these
Externí odkaz:
https://doaj.org/article/bf406378c447425292279d248e08f21c
Publikováno v:
IFAC-PapersOnLine. 53:10645-10650
Complex distributed supply chains, e.g., in the automotive industry, need to cope with high product variety. Digital image processing can use specific geometric and optical properties of parts and components for determining their type and thus needs
Publikováno v:
Procedia CIRP. 93:377-382
In the automotive industry, the ”completely knocked down” (CKD) business requires the identification and verification of a large number of unmarked parts. This is often a manual activity with a high risk of failure. Deep learning methods offer fl