smart production

AI Smart Workstation for Industrial Quality Control

AI Smart Workstation for Industrial Quality Control

Enhancing productivity through vision systems, real-time assistance, and Axiomatic Design
Leonardo Venturoso ORCID Icon, Simone Garbin ORCID Icon, Dieter Steiner, Dominik T. Matt
Traditional quality control often falls short in high-mix, low-volume production environments due to variability and complexity. This project introduces an advanced workstation to boost industrial productivity and quality, developed with Axiomatic Design to ensure a clear link between customer needs, functional requirements, and design solutions. Combining polarization cameras, high-resolution imaging, adaptive lighting, and deep learning-based computer vision, the system performs high-accuracy inspection on quantity, quality, and compliance. A digital assistance system offers real-time feedback via an intuitive interface. Validation in a controlled environment confirmed both the system’s practical benefits and its scalability.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 128-134 | DOI 10.30844/I4SE.25.5.124
Readiness Model for Industry 4.0

Readiness Model for Industry 4.0

Unternehmen durch Industrie 4.0 stärken
Manuel Brunner, Herbert Jodlbauer, Michael Schagerl
The developed Readiness Model supports enterprises to determine the current state in relation to Industry 4.0 as well as the target state. Based on strategy improvement measures are derived to succeed in attaining the target Industry 4.0 state. Enterprises profit by individualized understanding of Industry 4.0 and specific project proposals. The dissemination of Industry 4.0 is supported through this Readiness Model. In addition a benchmark data base is filled to enable comparisons of enterprises and to observe the historical development of the industry 4.0 readiness of several industries.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 5 | Pages 49-52