Robotic Weld Cells Need Instant Thermal Insights
HeatCore™ Robotic integrates cameras, AI, and control interfaces so every weld seam is verified in-line—without slowing the robot down.
Thermal defects stay hidden until post-process inspection
Robots weld at speed, but teams usually inspect later. Porosity, burn-through, or heat drift only appear after cutting, machining, or—worse—at the customer site.
Typical pain points
- No thermal visibility during the weld cycle
- Defects are found after value has already been added
- Robots stop for manual verification and parameter tweaks
The business impact
- Scrap and rework inflate costs and kill takt time
- Audits take too long because evidence isn't real-time
- Maintenance teams react late to torch misalignment or gas issues
Inline thermography + AI tuned for robots
The system synchronizes thermal cameras, edge AI, and operator interfaces so every welding cell can self-verify each bead in real time.
Synchronized thermal cameras
Mount directly on robot wrists or fixtures. Capture 60 FPS thermal video with filters that block arc glare.
- IP67-rated housings with air purge options
- Monitors temperature gradients and cooling rates
- Compatible with FANUC, ABB, KUKA, Yaskawa
AI decision engine
HeatCore AI™ classifies porosity, lack of fusion, and overheating on the fly, flagging suspect welds before they leave the cell.
- 99%+ detection accuracy when paired with DuoSense/OmniSense
- Sub-100 ms feedback loop
- Adaptive thresholds per joint and recipe
Panel PC + dashboards
Operators see live thermal overlays, alerts, and parameter drift. Supervisors review dashboards per cell, line, or plant.
- Edge UI with glove-friendly controls
- Auto exports to QMS Copilot™ and MES
- Historical analytics for maintenance and process engineering
See the line in action