Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

M. S. Basar; L. Christiansen; P. D. Nannerup; M. Graugaard Antonsen

doi:10.1109/ETFA52439.2022.9921607

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

M. S. Basar
, L. Christiansen
, P. D. Nannerup
, M. Graugaard Antonsen

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

Abstract

The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.

Originalsprog	Engelsk
Titel	2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Antal sider	4
Forlag	IEEE
Publikationsdato	2022
Sider	1-4
ISBN (Elektronisk)	978-1-6654-9996-5
DOI	https://doi.org/10.1109/ETFA52439.2022.9921607
Status	Udgivet - 2022
Begivenhed	ETFA 2022: 27th Annual Conference of the IEEE Industrial Electronics Society (IES) - University of Stuttgart, Stuttgard, Tyskland Varighed: 6 sep. 2022 → 9 nov. 2022 Konferencens nummer: 27 https://2022.ieee-etfa.org/

Konference

Konference	ETFA 2022
Nummer	27
Lokation	University of Stuttgart
Land/Område	Tyskland
By	Stuttgard
Periode	06/09/22 → 09/11/22
Andet	Conference on Emerging Technologies and Factory Automation
Internetadresse	https://2022.ieee-etfa.org/

Adgang til dokumentet

10.1109/ETFA52439.2022.9921607

https://ieeexplore.ieee.org/document/9921607/authors#authors

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Link to publication in Scopus

Identification of Barriers to and opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: a stakeholder investigation
Bidragets oversatte titel: Identifikation af barrierer og muligheder for adoption af maskinvision i små og mellemstore virksomheder: en interessentundersøgelseAntonsen, M. G. L., Jørgensen, C. B. & Christiansen, L., mar. 2026, New Paradigms for Anticipated Uncertainty: Proceedings of the 10th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization & Personalization Conference (MCPC 2025). 1 udg. Springer Cham: Springer
Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

Vision Technology for Quality Control in Automation Industry
Basar, M. S. (Projektleder), Nannerup, P. D. (Projektdeltager), Antonsen, M. G. L. (Projektleder), Nielsen, J. H. (Projektdeltager) & Jørgensen, C. B. (Projektdeltager)
01/01/21 → 31/12/24
Projekter: Projekt › Forskning

ETFA 2022
Antonsen, M. G. (Oplægsholder)
6 sep. 2022 → 9 sep. 2022
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Konference

Citationsformater

@inproceedings{23a5d4166771474b977028f2c7a1f430,

title = "Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises",

abstract = "The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.",

author = "Basar, \{M. S.\} and L. Christiansen and Nannerup, \{P. D.\} and Antonsen, \{M. Graugaard\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; ETFA 2022 : 27th International Conference on Emerging Technologies and Factory Automation, ETFA 2022 ; Conference date: 06-09-2022 Through 09-11-2022",

year = "2022",

doi = "10.1109/ETFA52439.2022.9921607",

language = "English",

pages = "1--4",

booktitle = "2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)",

publisher = "IEEE",

url = "https://2022.ieee-etfa.org/",

}

Basar, MS, Christiansen, L, Nannerup, PD & Antonsen, MG 2022, Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises. i 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, s. 1-4, ETFA 2022, Stuttgard, Baden-Württemberg, Tyskland, 06/09/22. https://doi.org/10.1109/ETFA52439.2022.9921607

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises. / Basar, M. S.; Christiansen, L.; Nannerup, P. D. et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2022. s. 1-4.

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

TY - GEN

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AU - Basar, M. S.

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AU - Nannerup, P. D.

AU - Antonsen, M. Graugaard

N1 - Conference code: 27

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Y1 - 2022

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AB - The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.

UR - https://www.scopus.com/pages/publications/85141437502

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DO - 10.1109/ETFA52439.2022.9921607

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PB - IEEE

T2 - ETFA 2022

Y2 - 6 September 2022 through 9 November 2022

ER -

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

Abstract

Konference

Adgang til dokumentet

Andre filer og links

Fingeraftryk

Publikation

Identification of Barriers to and opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: a stakeholder investigation

Projekter

Vision Technology for Quality Control in Automation Industry

Aktiviteter

ETFA 2022

Citationsformater