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AI Weld Monitoring Demo — Robotic Welding & Panel PC Interface

See the full Therness AI monitoring system in action on a robotic welding cell: sensor integration, panel PC live dashboard, real-time defect scoring, and QMS-ready evidence generation.

This end-to-end demo shows the Therness monitoring platform installed on a live robotic welding cell. The panel PC interface displays real-time thermal feed, AI defect scores, and process KPIs simultaneously — operators see weld status without stopping the robot. Every seam produces a traceable quality record, feeding directly into QMS workflows and audit packages compliant with ISO 3834 and ISO 17635.

Key Takeaways

  • End-to-end integration with a live robotic welding cell — no cell downtime during install.
  • Panel PC interface shows thermal feed, defect scores, and KPIs in a single view.
  • Real-time alerts route to robot controller for automatic stop or parameter correction.
  • Per-seam quality records generated automatically — ISO 3834 / ISO 17635 compliant.

Deploy with Therness

  • Typical install: 1 day for sensor mounting and network connection; 1 week AI model training.
  • Panel PC can display multi-cell views for supervisors — scalable across the shop floor.
  • Robot-agnostic: compatible with FANUC, KUKA, ABB, Yaskawa, and Kawasaki controllers.
  • QMS Copilot integration exports audit-ready reports after every batch.

Transcript (short)

Show transcript

This demo walks through the Therness AI monitoring system on a robotic welding cell. The panel PC interface shows the live thermal camera view alongside AI defect scores and process KPIs updated frame-by-frame. When a deviation is detected — arc instability, pool geometry drift, or stick-out anomaly — the system flags it immediately and logs the seam position. The resulting quality record is ready for QMS export without any manual data entry.

Progetto cofinanziato nell'ambito del PR Piemonte FSE+ 2021-2027,
Priorità I, Obiettivo Specifico a), Azione 4 – "Sostegno alla nascita delle start up"