Cybord, an AI-based inline inspection platform vendor, argues that conventional quality control measures fail to catch defective or counterfeit electronic components before they reach final assembly. The company's system integrates directly into SMT pick-and-place lines, performing visual analysis on every component placed — rather than relying on statistical sampling — to flag authenticity and quality issues in real time.
CEO Oshri Cohen, speaking to Automotive Industries, highlighted supply chain fragmentation as a core driver of downstream failures: components sourced from multiple global suppliers and intermediaries introduce inconsistencies that AOI systems inspecting the finished PCB may not reliably detect at the component level. Cybord's approach links inspection data to full production traceability records.
For European EMS providers and OEMs operating under tightening automotive and industrial quality mandates — including IATF 16949 and increasing pressure around counterfeit component liability — inline AI-based component verification represents a growing area of interest alongside established SPI and AOI workflows.
Quelle: Cybord – https://cybord.ai/news_events/news/cybord-ai-enables-visual-inspection-of-100-of-electronic-components/
