Podcast: EMSNow UpClose – Zeev Efrat, CFO Cybord

Podcast: EMSNow UpClose: Cybord was founded by Dr. Eyal Weiss, following a crisis in a defense mega project, due to counterfeit electronic components. It took his team months to trace the problem down to a 3 cents faulty capacitor.

Following this incident and by perceiving the understanding of the vast phenomenon of defective and counterfeit components, Cybord has taken on a mission to get counterfeit and defective components off production lines.

The Cybord Deep Visual-AI platform aggregates and analyzes images and data from 100% of the electronic components. It combines existing production data and unique new visual data collection, and ensures product quality, authenticity, and traceability, for OEMs and EMSs.

The Science Behind Cybord

Cybord technology is based on visual Deep-AI algorithms and big data, adding a new dimension of components visual analytics to the SMT machine metadata created in the production line.

Cybord developed a unique visual Deep-AI algorithm that analyzes each component based on a vast database of billions of electronic components images. This process provides accurate analysis utilizing a high-speed and efficient method.


Advanced deep network that learns from diversity

The Cybord innovative mechanism has trained a Deep-AI model based on Big Data of images to identify components characteristics and distinguish between them. The system identifies the original manufacturer and compares it to the documentation. This ensures that the intended component manufacturer is used in accordance with component documentation and AVL (Approved Vendor List). 

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