Podcast: Reliability Matters: The Remarkable Return of the Post-Reflow Cleaning Process Reliability Matters
Dr. Eyal Weiss, Cybords CTO and Founder, interviewed at the Reliability Matters podcast on the subject of the reliability of circuit assemblies
Return of Post-Reflow Cleaning Process
The Remarkable Return of the Post-Reflow Cleaning Process : Dr. Eyal WeissCybord, CTO and Founder interviewed at theReliability Matters podcast on the subject of the reliability of circuit assemblies
Cybord is preventing electronic components’ counterfeiting and has developed a sophisticated detection platform that enables companies to detect and prevent counterfeit components from entering the supply chain. In the podcast, we discussed the impact of counterfeit components, the challenges faced in detecting them, and the importance of investing in detection technologies. We also discussed how companies could help protect their brand reputation and protect their customers from counterfeiting.
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.
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.
Advanced deep network that learns from diversityCybord 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.