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

What happens when machine vision becomes accessible enough that a new engineer can solve in an hour what used to take an expert weeks? Matt Moschner, President and CEO of Cognex, and Brian Benoit, Director of Product Management, join the show to talk about how AI is changing who can deploy vision technology and where. They discuss why the cost and complexity of vision projects are dropping fast, how tools like OneVision are helping teams collaborate and scale across sites, and what it looks like when manufacturers start adding inspections to lines that never had them before.

What happens when technology once reserved for NASA starts showing up in your wristwatch, factory floor, and medical devices? Jeff Bier, founder of the Edge AI and Vision Alliance, goes behind the scenes of the "jaw-dropping" shift from the early days of manually coding computer vision to frontier technologies like Vision Language Models on the agenda of Embedded Vision Summit 2026.

Jeff Bier: linkedin.com/in/jeffbier/

Edge AI and Vision Alliance: edge-ai-vision.com/  |  linkedin.com/company/edgeaivision/

Edge AI and Vision Alliance Newsletter: edge-ai-vision.com/latest-news/newsletter/

Embedded Vision Summit 2026: embeddedvisionsummit.com

Official Registration Link: embeddedvisionsummit.com/passes/

Promo Code: 26EVSUM-IP-MVPro (10% Off)

Heiko Eisele, President of MVTec’s U.S. argues for why hardware‑independent architectures often beat the latest smart cameras in the long run and how the wrong software choice can quietly burn months of engineering time. He breaks down when to trust open source, and why labeling and data management are the unglamorous heart of industrial AI.

Heiko Eisele linkedin.com/in/heikoeisele

MVTec Software  mvtec.com | linkedin.com/company/mvtec-software-gmbh