“AI in QA – Will the Future be Free of Defects? AI as Turbocharger for Profitability and Efficiency”
The goal of QA is to ensure error-free products, safe and smooth-running workflows, and minimised material consumption. To an ever-greater extent, artificial intelligence (AI) systems are supporting QA procedures, for example with regard to the acceleration of measuring processes, the evaluation of measurement data and automation through the use of closed-loop processes. Within the framework of the 2025 Control Quality Talks, a panel of experts will discuss which AI systems already exist today, which are already being used in industry, and which specific results they’re achieving in terms of cost-effectiveness and efficiency. The extent to which future AI systems will simplify QA and pave the way for error-free products and processes within the context of full automation will also be explored.
Moderation:
Dr.-Ing. Peter Ebert, Editor-in-Chief of inVISION
“Will it be possible to achieve error-free production in the future using AI in QA? In which measuring technology applications is AI already in use and what role is being played by synthetic data and generative AI? We’ll discuss all these questions live at the 2025 Control Quality Talks with experts from CAQ, Fraunhofer IPA, Werth and Zeiss.”
Distinguished Guests at the Expert Round Table:
Florian Schwarz, CEO, CAQ AG Factory Systems
„The aim of implementing AI should be to create real benefits and to integrate these into the CAQ system in a robust manner that simplifies the daily work of the software users – the focus must be on achieving the necessary maturity for real industrial added value for the masses. I am looking forward to the discussion.“
Dr.-Ing. habil. Ralf Christoph, Managing Director and Proprietor of Werth Messtechnik
“AI can be put to good use in measuring technology, for example in order to support equipment operators via chatbots. A further example involves the intelligent optimisation of image quality in image processing or X-ray computer tomography. However, it’s very important to ensure that traceability of measurement results is not jeopardised as a result. AI must not alter measurement results. Utmost care is essential during project development.”
Dr. Christian Wojek, Head of AI, Zeiss IQS
‘With AI, we can enable new applications and rethink workflows in measurement technology!’
Dr.-Ing. Ira Effenberger, Head of Research Department Artificial Intelligence and Machine Vision
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA
„The use of artificial intelligence opens up a new dimension in quality assurance. in quality assurance. AI can be used to automate and objectify a large number of testing tasks that previously had to be carried out manually. But it can also be used as an assistance system for recording measurement data, planning measurement sequences or the virtual configuration of optical measurement and inspection systems, AI-based solutions also offer considerable potential for efficient quality assurance.“
Exhibitors, expert visitors and guests will be able to gain extensive background information and further inspiration from this dialogue, because AI is clearly one of the key technology trends in quality assurance.
All industry players are cordially invited to attend the discussion at the forum in hall 7 on the first day of the trade fair.