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Engineering AI-Enabled Computer Vision Systems: Lessons From Manufacturing

Journal
IEEE Software
ISSN
0740-7459
1937-4194
Type
journal article
Date Issued
2022
Author(s)
André Sagodi  
;
Johannes Schniertshauer
;
Benjamin van Giffen  
DOI
10.1109/MS.2022.3189904
Abstract
This article shares our results on challenges in engineering artificial intelligence (AI)-enabled computer vision systems for manufacturing and highlights critical success factors that have proven their worth. We provide AI engineers and development teams with timely and engaging inputs from the field.
Volume
39
Number
6
Official URL
https://ieeexplore.ieee.org/document/9830692
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/118927
Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

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