AI-PoweredThermal Vision

Eliminate temperature-related
defects in manufacturing.

Most defects and equipment failures show up in thermal patterns before they show up anywhere else. We apply AI thermal vision to the two problems where it matters most.

01

AI Thermal Quality Inspection

Detect defects in products that traditional vision misses: voids, adhesion issues, and material inconsistencies. Using thermal patterns and AI that learns from variation. Catch issues earlier, reduce scrap and rework, and get process data that wasn't possible before.

02

AI Thermal Condition Monitoring

Track equipment and process temperatures continuously. Catch anomalies before they cause downtime or quality issues. Less unplanned downtime, fewer manual checks, and visibility you couldn't get with spot inspections.

Thermal + AI

Threshold-based machine vision works until conditions change. Thermal + AI is what makes Eigen different. Thermal patterns reveal what surface inspection can't, and AI handles the variation.

Traditional Machine Vision

  • Breaks when products or processes vary
  • Requires constant rule tuning

Eigen Innovations

  • AI learns from variation and adapts
  • Models improve over time, with less maintenance
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