Awaiting biography.
AI-backed process control augments AOI capabilities by providing facility-wide in situ anomaly detection, KPI prediction, and autonomous control of equipment, all while continuously monitoring for security breaches. This signals a paradigm shift in inspection system architecture, as the data stored by a single inspection tool can now be leveraged to train AI models that produce “Virtual Inspection” measurements at scale, at low cost, with zero throughput impact, for every process layer. As manufacturing volume grows, the ability to inspect each stratum of production becomes essential, and existing AOI systems generate the most valuable insights when linked with a panoptic machine learning agent that provides complete overview of facility performance.