Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Quality & testCybord100 defects per million components
Cybord's AI algorithms analyze images of electronic components to identify visual defects, counterfeits, and traceability data, enabling 100% inspection of components before they enter production.
“we process it using our AI algorithms to see if it's the kind of it, homogeneous and so on. So this is how it correlates to this booth.”
Quality & testCybord45% mixed reels from upper market brokers
The system uses AI to inspect individual components in reels, detecting mixed lot codes and date codes to identify mixed or counterfeit reels that standard suppliers might miss.
“the system is looking at every individual component in this reel, and it's checking that there's only one date code, one lot code inside this reel. So, you can see many cases that they are mixed.”
Quality & testCybord4 to 5% counterfeit rate in free market
AI analysis of component images allows the identification of specific physical defects like corrosion, cracks, and broken lids, which are then verified through lab collaboration to confirm the AI's findings.
“we saw, with all the guys, blocked this wheel, it has corrosion, so they turned down the machine, sent it to the lab, then they confirmed this was corrosion. There was reel with counterfeit components.”