Concept of Easy-to-use Versatile Artificial Intelligence in Industrial Small & Medium-sized Enterprises

Emil Blixt Hansen*, Nadeem Iftikhar, Simon Bøgh

*Kontaktforfatter

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

3 Citationer (Scopus)
9 Downloads (Pure)

Abstrakt

In this paper, the concept of what we call AI-Box is presented. This concept is targeting small and medium-sized enterprises within the manufacturing industry sector. The AI-Box aims to bring technologies from Industry 4.0 to them, with the use of easy-to-use and versatile implementation. Preliminary experiments have been conducted at Aalborg University and at an industrial partner to solve vision tasks, which would be too expensive with conventional vision techniques. Moreover, three different convolutional neural networks were tested to find the best- suited architecture. The three networks tested were the simple AlexNet, the complex ResNeXt, and small and complex SqueezeNet. Our results show that it is possible to solve the classification problem in a few epochs. Furthermore, with the use of augmented data, the performance can be improved. Our preliminary results also showed that the simpler convolutional neural network architecture from AlexNet yields a better result when classifying simple data.
OriginalsprogEngelsk
TidsskriftProcedia Manufacturing
Vol/bind51
Sider (fra-til)1146-1152
Antal sider6
ISSN2351-9789
DOI
StatusUdgivet - 2020
Begivenhed30th International Conference on Flexible Automation and Intelligent Manufacturing - Athens, Grækenland
Varighed: 15 jun. 202118 jun. 2021
https://www.faimconference.org/

Konference

Konference30th International Conference on Flexible Automation and Intelligent Manufacturing
Land/OmrådeGrækenland
ByAthens
Periode15/06/202118/06/2021
Internetadresse

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