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Use Visual Data and AI to Detect Defective Parts

Defective and counterfeit components are a huge problem in today’s market, since major shortages in the component supply chain are forcing manufacturers to work outside of their trusted supplier network and exposing them to significant risk. Existing traceability solutions don’t provide sufficient component-level protection since they only test small samples. Join the upcoming Siemens webinar with Cybord to learn about new ways to secure electronic component supplies, mitigate risk and secure traceability.




Originally presented: July 20, 2022
Duration: 1 hour
Presented by:

Overview

Component faults cause 8 out of 10 product failures, raising the risk of recalls.

Defective and counterfeit components are a huge problem in today’s market, since major shortages in the component supply chain are forcing manufacturers to work outside of their trusted supplier network and exposing them to significant risk. Existing traceability solutions don’t provide sufficient component-level protection since they only test small samples.

Siemens’ partner Cybord—a startup that helps electronics manufacturers improve product reliability and material sourcing—tackled the problem by developing a first-of-its kind solution that enables visual inspection of 100% of the components on a PCB. The software-as-a-service (SaaS) solution utilizes existing images taken by surface mount (SMT) assembly machines and pairs them with proprietary artificial intelligence (AI) to determine whether each and every component is authentic and in good condition in real time. It enables surgical traceability of defective parts and counterfeit components, allowing manufacturers to minimize costly recalls.

Join the upcoming Siemens webinar with Cybord to learn about these new ways to secure electronic component supplies, mitigate risk and secure traceability.

 

Key Takeaways

  • Utilize images from SMT assembly machines to verify components
  • Learn how to provide 100% traceability to your customers
  • Discover how to minimize costly recalls

 

Speakers

Zac Elliott, Technical Marketing Engineer, Siemens Digital Industries Software

Elliott is a technical marketing engineer who works directly with electronic manufacturing service providers in the medical, aerospace, automotive, and public-safety markets to ensure that key requirements for the smart factory are fulfilled using software and automation. Before joining Siemens, he was responsible for developing and implementing solutions for a global contract electronics manufacturer, providing an in-depth understanding of the market pressures driving Industry 4.0. Recently, Elliott served as a member of the IPC task group working on an industry standard for traceability of critical electronic components.


Eyal Weiss, CTO / Founder, Cybord

An expert in technology development with over 20 years of experience in successful multidisciplinary research and development management. Weiss was the R&D department manager at the Soreq Nuclear Research Center, where he managed large projects involving over 28 experts before starting Cybord. He is a specialist in entrepreneurship, from concept to product, has won two Israel Security prizes and has a Ph.D. Electronic Engineering, M.Sc. Plasma Physics, Mechanical Engineering.