Cybord's software platform applies AI and big data analytics to images taken by pick-and-place machines during PCB assembly. The system inspects individual components for defects, markings, and manufacturing details, enabling real-time assessment of authenticity and quality without requiring additional inline inspection hardware.
The approach aligns with IPC traceability standards that recommend individual component-level traceability rather than batch- or reel-level tracking. By capturing and storing component data at placement, the platform is designed to simplify recall processes and support root-cause analysis in production environments.
Cybord positions the solution as a cost-effective addition to existing SMT lines, as it draws on image data already generated by placement machines. The company targets electronics manufacturers seeking to reduce counterfeit component risk and improve end-product reliability.
Quelle: Cybord – https://cybord.ai/news_events/news/cybord-analyzes-the-authenticity-quality-and-traceability-of-components-with-ai-and-big-data/
