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ADMA’s 3rd Learning Network – Artificial Intelligence for improving productivity

The 3rd ADMA Learning Network session started 10h00 sharp at the Eurecat Cerdanyola premises, where we welcomed 11 attendees from 6 different manufacturing SMEs.

Paul Peeters kicked off with the introduction to the ADMA initiative, explaining how manufacturing SMEs not only should work faster, but also smarter to proceed on a successful journey towards Factories of the Future. Following facts were presented about  the current scale-up status of the ADMA initiative:

  • 92 organisations signed the ADMA Letter of Support, resulting in ADMA covering now 22 different European countries
  • 100+ different SME’s have been scanned
  • 85 SME coachings have been started, resulting (as per March, 2nd 2020) in 39 finished ADMA transformation plans.

Next on stage was Gabriel Anzaldi, Scientific and Technological Development Director from Eurecat, who introduced the subject “AI for improving productivity” with an explanation of digitalization, data driven models, and use cases of Artificial Intelligence in fields like

  • predictive maintenance
  • dynamic planning and scheduling
  • value chain
  • productivity
  • predictive quality
  • safety
  • performance

Gabriel’s presentation ended with the challenges and approaches for implementing these projects. Attendees were particularly interested in how to start an AI project, as well as the timing and costs of these kind of projects.

After this presentation a well-deserved coffee break enabled some good networking between attendees, speakers and organization members.

David Torres, CEO of bcnvision, a company specialized in artificial vision, presented the potentiality of Deep Learning for identification purposes. He showed 4 possible toolsets:

  1. part location and assembly verification,
  2. defect detection,
  3. object and scene classification and
  4. character reading.

Finally, Jordi Ribatallada, from ABB, showed their advances in Industry 4.0 through the explanation of the ABB Ability pyramid (see picture). He extensively described and explained ABB’s new products and services with respect to (collaborative) robots, predictive maintenance, and virtual reality for maintenance & training. Finally, the MyRobot web application for remote connectivity and monitoring of robots.

After lunch, we went to the ABB facilities where we were explained their Open Innovation approach, a co-working space were Covariant (a Silicon Valley start-up) and ABB together develop new AI-driven robotic systems. [click on this nice video to see the principle demonstrated].

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