Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marian Schlüter"'
Autor:
Marian Schlüter, Robert Schimanek, Paul Koch, Clemens Briese, Vivek Chavan, Pinar Bilge, Franz Dietrich, Jörg Krüger
Publikováno v:
Procedia CIRP. 116:414-419
Autor:
Katharina Schweitzer, Clemens Briese, Hannah Lickert, Franz Dietrich, Jörg Krüger, Pinar Bilge, Marian Schlüter
Publikováno v:
Procedia CIRP. 98:300-305
In a circular economy for remanufacturing, after each life cycle used products are returned to a remanufacturer for identification, inspection, sorting and reprocessing. Shortcomings and requirements of the remanufacturing market are identified throu
Publikováno v:
CIRP Annals. 68:9-12
The identification of parts is essential for the efficient automation of logistic processes such as part supply in assembly and disassembly. This paper describes a new method for the optical identification of parts without explicit codes but based on
Publikováno v:
Procedia Manufacturing. 21:384-391
One of the main goals of sustainability is to reduce the ecological footprint. As a result the automotive industry has been encouraged to become more efficient in using existing resources to reach a target value of at least of 85 % of a car’s weigh
In reverse logistics, identification of products is necessary but due to uninterpretable markers information flow is not always consistent. Recent image-based recognition developments using Convolutional Neural Networks are promising but collecting r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21e66bfd5c0a7ba043ca4539f01c8ba0
https://publica.fraunhofer.de/handle/publica/264294
https://publica.fraunhofer.de/handle/publica/264294
Sustainable product development and use requires an extended life cycle of used and defective mechanical parts. Remanufacturing saves resources and helps the industry to utilise the product more efficiently. Reverse logistics is one of the most impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ac404c3fd1483bde9dfc3cb32246a5
https://publica.fraunhofer.de/handle/publica/263840
https://publica.fraunhofer.de/handle/publica/263840
Publikováno v:
ETFA
Part identification is relevant in many industrial applications, either for direct recognition of components or assemblies, either as a fully automated process or as an assistance system. Convolutional Neural Networks (CNNs) have proven their worth i
Publikováno v:
ETFA
Information builds the base of modern logistics. In the past companies have started collecting basic parameters, but for the purpose of extended product-identification the existing approaches are not sufficient. In this paper we present a system for