Digitalization and artificial intelligence will prospectively reshape many concepts and ways of working linked to visual inspection. The coming years will be fascinating with emergence of new technologies.
Applying deep learning algorithms to automated visual inspection has become a terrific opportunity for improved classification and highly precise detection of damages and defective pharmaceutical products lately.
We will try to answer the questions about where we stand today and what can be expected in the future. We need to reflect on how to support this transition: what architecture, organization and capabilities should be developed. Besides this, a stunning question remains to be pursued – how to validate this approach?
We are excited to announce our 2019 Visual Inspection Interest Group Meeting with the main focus on Novel Digitalization Approaches and Applications of Deep Learning.
The PDA Interest Groups are discussion forums, each with a highly focused topic of interest. The main idea behind this workshop is to engage in questions raised by attendees and to have a more in-depth discussion compared to the usual presentation-driven meetings. You are invited to contribute and provide your questions to the group, and together develop possible solutions to these challenging issues. Industry experts will be participating to help facilitate the discussion.
As a thematic framework, the IG Leaders have chosen the following topics for this exciting workshop:
- Brief introduction to tools and technologies of digitalization and deep learning
- What benefits do these approaches have to offer?
- How our ways of working will be reshaped?
- What validation strategies can be used?
- What can we learn from other similar technologies?
We look forward to welcoming you to Berlin!
Romain Veillon, IG Lead EU
John Shabushnig, IG Lead US