EMS@C-LEVEL · 3 Nov 2021 · 11m
Zeev Efrat, CEO of Cybord.ai, explains how his startup uses AI to inspect every component on a PCB by analyzing images from SMT placement machines, providing real-time counterfeit detection and traceability. He details the company's partnerships with Siemens, ASM, and VTech to integrate this software into existing manufacturing workflows, allowing OEMs to safely source from the gray market during the supply chain crisis. Efrat highlights that the solution runs at line speed with minimal installation time, enabling manufacturers to maintain production continuity despite component shortages.
Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Quality & testCybord.ai Monicaless than 100 milliseconds
AI models analyze images from SMT placement machines to verify component authenticity, check for defects, and determine manufacturing origin, enabling 100% inspection of components on the production line.
“we are implying AI models on each of those images. So we are checking each and every item that is going to pass from the reel into the PCP. And then we are doing 6 algorithms on each of them.”
Speaker 2 · Hear it at 3:22
early-stage companies
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Elijah Miller, VP of Operations at The Lab Worldwide (TLW), explains the sophisticated methods counterfeiters use to infiltrate the electronics supply chain, including remarking, harvesting, and cloning. He details how even franchise distributors like Digi-Key and Mouser can inadvertently distribute fakes through RMA loops and discusses the critical role of third-party testing labs in authentication. Miller highlights advanced detection techniques such as C-SAM imaging and Raman spectroscopy to identify retopped Xilinx and Altera chips, noting that 3-7% of gray market components tested often prove to be counterfeit.
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