Cybord has published a technical overview of its Real-Time Interceptor (RTI) platform, which integrates with SMT pick-and-place equipment to perform AI-driven visual inspection of electronic components prior to board assembly. The system employs deep learning algorithms to detect defects including corrosion, contamination and counterfeit parts on component undersides — a blind spot for standard AOI machines that scan only the top surface.
The company cites the scale of quality-related losses in electronics manufacturing as the commercial driver: automotive recalls linked to electronic component failures reached 35 million vehicles in 2023 alone. By intercepting non-conforming components before placement, RTI aims to reduce rework costs, warranty claims and supply-chain liability exposure for contract manufacturers and OEMs alike.
Traditional quality control methods — manual inspection and statistical sampling — remain prevalent but are acknowledged to be error-prone at the component scale now common in high-density SMT production. Cybord positions RTI as a complement to existing AOI and SPI infrastructure rather than a replacement, adding a pre-placement verification layer directly within the production line.
Quelle: Cybord – https://cybord.ai/news_events/news/electronics-manufacturing-quality-analysis/
