DI-VISION: Traceable machine vision systems for digital industrial applications
The Quality Engineering & Management Group at the Department of Management and Production Engineering is participating in the European DI-VISION project, an initiative aimed at developing advanced, fully traceable machine vision systems for quality control in industrial processes.
Machine vision technologies are a cornerstone for many high-value industries in which Europe holds a strong competitive position. They also play a crucial role in supporting the EU’s objectives for digital transformation and the Green Deal, by enabling more efficient, reliable, and sustainable production systems.
The DI-VISION project focuses on the development of digital twins based on both data-driven and physics-based models, the implementation of robust algorithms for raw data analysis, and the achievement of full system traceability. These technologies will support accurate defect classification, the extraction of geometrical parameters from surfaces, and their application to industrial samples at both macro- and micro-scale.
By integrating advanced machine vision with digital twin technologies, DI-VISION aims to significantly improve accuracy, productivity, flexibility, safety, and cost-efficiency in industrial quality control processes.
To learn more about the project’s progress and preliminary results, you can consult the mid-project DI-VISION newsletter (PDF).
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