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

Emil Blixt Hansen*, Nadeem Iftikhar, Simon Bøgh

*Corresponding author for this work

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

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.
Original languageEnglish
JournalProcedia Manufacturing
Volume51
Pages (from-to)1146-1152
Number of pages6
ISSN2351-9789
DOIs
Publication statusPublished - 2020
Event30th International Conference on Flexible Automation and Intelligent Manufacturing - Athens, Greece
Duration: 15 Jun 202118 Jun 2021
https://www.faimconference.org/

Conference

Conference30th International Conference on Flexible Automation and Intelligent Manufacturing
Country/TerritoryGreece
CityAthens
Period15/06/202118/06/2021
Internet address

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Convolutional Neural Network
  • Small and Medium Sized Enterprises
  • Industry 4.0
  • SME

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