Use AI-powered thermal vision to detect manufacturing defects that traditional machine vision misses, reducing scrap and downtime.

For manufacturing professionals, Eigen Innovations solves the critical problem of defects and process variations that are invisible to the naked eye or traditional machine vision. Instead of relying on surface-level optical data, Eigen uses thermal imaging to see 'beyond defects'. Its core advantage lies in combining this thermal data with AI that learns from process variation. Unlike rigid, threshold-based systems that require constant retuning whenever conditions change, Eigen’s models adapt and improve over time with less maintenance. This technology provides two primary benefits. First, for AI Thermal Quality Inspection, it identifies hidden flaws in products such as internal voids, adhesion issues, and short-shots in plastics, ensuring 100% inline verification. This is proven in applications for Nucor and a global automotive OEM. Second, its AI Thermal Condition Monitoring continuously tracks equipment temperatures, flagging anomalies before they cause catastrophic downtime or quality degradation. This moves maintenance from a reactive to a proactive model, reducing the need for manual spot checks and providing unprecedented visibility into your production line's thermal health.