Projekter pr. år
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.
|Titel||2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)|
|Status||Udgivet - 2022|
|Begivenhed||ETFA 2022: 27th International Conference on Emerging Technologies and Factory Automation - Stuttgard, Tyskland|
Varighed: 6 sep. 2022 → 9 nov. 2022
Konferencens nummer: 27
|Periode||06/09/22 → 09/11/22|
|Andet||ETFA 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...|
FingeraftrykDyk ned i forskningsemnerne om 'Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises'. Sammen danner de et unikt fingeraftryk.
- 1 Afsluttet
01/01/21 → 31/12/21
Projekter: Projekt › Forskning