What Project Lessons Jan Learned Working with Vogt

How ultrasonic data and AI are transforming spot weld inspection. A look inside next-gen automotive manufacturing innovation.

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We thank our partner SIEMENS

In this episode, I dive into the fascinating world of non-destructive material testing with Christian Wagner from Vogt Ultrasonics and Jan Kutnik from Evoptima. Together, we explore how AI is revolutionizing spot weld inspection in the automotive industry, making quality control smarter and more precise than ever before.

We discuss the challenges of processing massive ultrasonic datasets, adapting AI models to real-world manufacturing, and the journey from legacy systems to cutting-edge solutions. If you’re curious about how collaborative robots, vision systems, and robust AI are reshaping factory floors—and what it takes for mid-sized companies to lead the charge—this is an episode you won’t want to miss.

Siemens

https://new.siemens.com/global/en/products/automation/topic-areas/industrial-ai.html

VOGT Ultrasonics

https://www.vogt-ultrasonics.de/en/

Evoptima

https://evoptima.com/

Phased Array Ultrasonic Testing (PAUT)

https://en.wikipedia.org/wiki/Phasedarrayultrasonic_testing

LSTM (Long Short-Term Memory) Networks

https://en.wikipedia.org/wiki/Longshort-termmemory

Collaborative Robots (Cobots)

https://en.wikipedia.org/wiki/Collaborative_robot

REST API

https://en.wikipedia.org/wiki/Representationalstatetransfer

Czech Technical University in Prague

https://www.cvut.cz/en

IDS Imaging Development Systems

https://en.ids-imaging.com/