Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

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: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Number of pages	4
Publisher	IEEE
Publication date	2022
Pages	1-4
ISBN (Print)	978-1-6654-9997-2
ISBN (Electronic)	978-1-6654-9996-5
DOIs	https://doi.org/10.1109/ETFA52439.2022.9921607
Publication status	Published - 2022
Event	International Conference on Emerging Technologies and Factory Automation - , Germany Duration: 6 Sept 2022 → 9 Sept 2022 Conference number: 27

Conference

Conference	International Conference on Emerging Technologies and Factory Automation
Number	27
Country/Territory	Germany
Period	06/09/2022 → 09/09/2022

Keywords

Industry 4.0
SME
automation
barriers
machine vision

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Basar, M. S., Christiansen, L., Nannerup, P. D., & Antonsen, M. G. (2022). Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). In 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1-4). IEEE. https://doi.org/10.1109/ETFA52439.2022.9921607

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

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title = "Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)",

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.",

keywords = "Industry 4.0, SME, automation, barriers, machine vision",

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

year = "2022",

doi = "10.1109/ETFA52439.2022.9921607",

language = "English",

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pages = "1--4",

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

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note = "International Conference on Emerging Technologies and Factory Automation ; Conference date: 06-09-2022 Through 09-09-2022",

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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: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, pp. 1-4, International Conference on Emerging Technologies and Factory Automation, Germany, 06/09/2022. 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: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). / Basar, M. S.; Christiansen, L.; Nannerup, P. D. et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2022. p. 1-4.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

T2 - International Conference on Emerging Technologies and Factory Automation

AU - Basar, M. S.

AU - Christiansen, L.

AU - Nannerup, P. D.

AU - Antonsen, M. Graugaard

N1 - Conference code: 27

PY - 2022

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N2 - 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.

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.

KW - Industry 4.0

KW - SME

KW - automation

KW - barriers

KW - machine vision

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DO - 10.1109/ETFA52439.2022.9921607

M3 - Article in proceeding

SN - 978-1-6654-9997-2

SP - 1

EP - 4

BT - 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

PB - IEEE

Y2 - 6 September 2022 through 9 September 2022

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Basar MS, Christiansen L, Nannerup PD, Antonsen MG. Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). In 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. 2022. p. 1-4 doi: 10.1109/ETFA52439.2022.9921607

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

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Keywords

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