We talk about using grounded synthetic data to rapidly deploy AI quality inspection in highly variable applications like shingles and fabrics. We also look further down the road into where these AI systems might be taking us for good or for ill.

Zetamotion: zetamotion.com | linkedin.com/company/zetamotion/ | facebook.com/zetamotionltd | x.com/zetamotionltd

Wilhelm Klein: linkedin.com/in/wilhelm-e-j-klein/ | klein@zetamotion.com

We talk with Macnica Europe about how they help engineering teams go from chip selection to full system integration as vision, inference, and sensing converge in intelligent machines. We talk purpose-built edge AI accelerators, multi-modal sensing, and where edge AI projects can get stuck.

Josselin Vilpoux: linkedin.com/in/josselinvilpoux/

Sascha Zimmermann: linkedin.com/in/sascha-zimmermann-065639101/

Macnica Europe: macnica.com/eu | linkedin.com/company/macnica-atd-europe-1/

In this episode, we discuss how automated vision inspection is replacing manual rim quality checks on automotive production lines, what it takes to configure a system across different wheel models, and how the data collected during inspection can feed back into the manufacturing process to catch problems before they compound.

Philipp Franz: franz.philipp@eines.com | linkedin.com/in/philipp-franz-automotive-quality-control/

Eines Vision Systems: eines.com | comunicacion@eines.com | linkedin.com/company/eines-quality-engineering-vision-systems | youtube.com/@einesvisionsystems4159

Webinar - The (R)Evolution of Wheel, Rim & Tire Quality Control: eines.com/event/the-revolution-of-wheel-rim-tire-quality-control