on-demand webinar

Using AI to improve overall equipment effectiveness (OEE) and reduce quality costs in electronics manufacturing


Prevent quality inspection process slowdowns by using machine learning and AI

Quality inspections are an essential part of any manufacturing process. These inspections ensure products meet the required standards and that customers receive high-quality goods. However, quality inspections can also become bottlenecks in production, slowing down the entire process and increasing costs.

Automated and manual visual inspections of printed circuit boards (PCBs) are no exception. Finding the optimal balance between first pass yield (FPY) and the risk of false calls and even escapes is a challenging task.

Join us for a webinar to learn how Siemens productizes machine learning and closed-loop artificial intelligence (AI) to elegantly solve this challenge in our factories.

Using machine learning and AI to optimize quality inspections in electronics manufacturing

Say goodbye to inspection bottlenecks in production and join us for a webinar to learn about:

  • The challenges of quality inspections in PCB production
  • The benefits of using machine learning and AI in quality inspections
  • How Siemens productizes machine learning and closed-loop AI to solve quality inspection challenges

Meet the speaker

Siemens Digital Industries Software

Jonathan Fromm

Product Manager, Predictive Analytics

Jonathan has an extensive background in advanced analytics and the delivery of actionable insights.

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