The MV Pro Podcast - Uncovering Machine Vision

MidOpt's Georgy Das returns to the show to explain why AI-based defect detection is only as reliable as the light and optics feeding it.

MidOpt: midopt.com | linkedin.com/company/midwest-optical-systems

Georgy Das: linkedin.com/in/georgydas

VISION Stuttgart 2026: messe-stuttgart.de/vision/en

Allan Anderson spent a decade inside a machine vision manufacturer, watching distributors get it right and some get it wrong. In 2008 he left to build the one he thought was missing, and he has some fresh ideas about how to improve outcomes for end users.

Clearview: clearview-imaging.com | uk.linkedin.com/company/clearview-machine-vision

Allan Anderson: linkedin.com/in/allan-anderson-2583492

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/ | [email protected]

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: [email protected] | linkedin.com/in/philipp-franz-automotive-quality-control/

Eines Vision Systems: eines.com | [email protected] | 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

We get a full read on the state of the global machine vision market straight from the data. From the real story behind the 2023-2024 decline to the industries quietly driving the next wave of growth, this conversation is packed with insight for anyone making decisions in the machine vision space.

Jonathan Sparkes: linkedin.com/in/jonathan-sparkes-9602b2232/

Interact Analysis: interactanalysis.com | linkedin.com/company/interact-analysis/

Machine Vision Research Report: interactanalysis.com/interact-analysis-machine-vision-research/

We discuss why so many smart cameras end up underutilized or switched off, how customer expectations have expanded from pass/fail signals to full production data platforms, and the techniques ATEK is using to bring complex vision capability to manufacturers who've historically been priced out of the conversation.

Armando Bompane: linkedin.com/in/armandobompane

ATEK Integrated Engineering: atekintengineering.com.au | linkedin.com/company/90748261

We pull back the curtain on why machine vision projects succeed or fail. From business best practices, customer soft skills, and the importance of professional networks, this conversation is packed with hard-won insight for system integrators.

Adrienne Meyer: linkedin.com/in/adriennemeyer/

Control System Integrators Association  (CSIA): controlsys.org/ | linkedin.com/company/control-system-integrators-association/

CSIA Events: controlsys.org/upcoming-events/

What does it really take to win machine vision business when your competitors move at “China speed”? In this episode, we discuss how trust, responsiveness, and application‑level thinking can matter more than pure specs. Oscar pulls back the curtain on how serious optics suppliers are actually working today. If you care about selling into Asia, sourcing from Asia, or just understanding how this ecosystem really functions, listen in.

Ken-hui "Oscar" Lin on LI: linkedin.com/in/kenhui-lin-15763b153/

Vico Imaging: vicoimaging.com/ | linkedin.com/company/vicoimaging/ |  youtube.com/@VICO-Imaging

What if instead of training an inspection system on every way a product can fail, you just taught it what good looks like? Taimoor Nawab breaks down why training on good product rather than known defects changes the deployment equation entirely and how manufacturers in semiconductors, electronics, automotive, and silicon photonics are already using it.

Taimoor Nawab: linkedin.com/in/taimoornawab/

Averian: averian.io | linkedin.com/company/11030971 | x.com/AverianAI