In:
at - Automatisierungstechnik, Walter de Gruyter GmbH, Vol. 68, No. 6 ( 2020-06-25), p. 477-487
Abstract:
Optical measuring and inspection systems play an important role in automation as they allow a comprehensive and non-contact quality assessment of products and processes. In this field, too, systems are increasingly being used that apply artificial intelligence and machine learning, mostly by means of artificial neural networks. Results achieved with this approach are often very promising and require less development effort. However, the supplementation and replacement of classical image processing methods by machine learning methods is not unproblematic, especially in applications with high safety or quality requirements, since the latter have characteristics that differ considerably from classical image processing methods. In this paper, essential aspects and trends of machine learning and artificial intelligence for the application in optical measurement and inspection systems are presented and discussed.
Type of Medium:
Online Resource
ISSN:
2196-677X
,
0178-2312
DOI:
10.1515/auto-2020-0006
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2020
detail.hit.zdb_id:
629186-7
detail.hit.zdb_id:
2027287-X
SSG:
15,3
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