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

Research output: Chapter in Book/Report/Conference proceedingConference contribution to proceedingpeer-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 languageEnglish
Title of host publication2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Number of pages4
PublisherIEEE
Publication date2022
Pages1-4
ISBN (Electronic)978-1-6654-9996-5
DOIs
Publication statusPublished - 2022
EventETFA 2022: 27th International Conference on Emerging Technologies and Factory Automation - Stuttgard, Germany
Duration: 6 Sept 20229 Nov 2022
Conference number: 27
https://2022.ieee-etfa.org/

Conference

ConferenceETFA 2022
Number27
Country/TerritoryGermany
CityStuttgard
Period06/09/2209/11/22
OtherETFA 2022 is the 27th Annual Conference of the IEEE Industrial Electronics Society (IES) focusing on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to disseminate novel ideas and emerg...
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