MAG Weld Monitoring — Real-Time AI Defect Detection
23-second clip showing thermal + visual AI flagging defects during active MAG welding on a production cell.
Who This Demo Is For
Production engineers and quality leads running MAG/MIG welding lines who need inline defect detection without adding post-weld inspection stations.
What You'll See
- Thermal stream — Heat-affected zone tracking in real time
- AI confidence scores — Live classification of weld quality
- Defect flagging — Instant alert when the AI detects an anomaly
Why Monitor MAG Welds?
MAG (Metal Active Gas) welding is fast and versatile, but parameter drift, gas coverage issues, and wire-feed inconsistencies can cause hidden defects. Real-time thermal + AI monitoring catches these problems during the weld, before they compound into scrap or field failures.
What the thermal and vision streams reveal
Because MAG runs an active CO₂ or argon-rich shielding mix, its arc is hotter and the pool more fluid than a pure-argon MIG arc, so the visible signature of drift is subtle and quick. In the clip the AI overlay watches two channels at once: the bright, travelling weld pool in the optical image and the trailing heat-affected zone in the thermal image. A healthy bead shows a symmetric pool and a smooth, gradually fading cooling gradient behind the torch. When gas coverage lapses, wire-feed speed hunts, or travel speed shifts, that symmetry breaks — the pool skews, the thermal tail stretches or collapses, and the classifier's confidence score falls. Those cues surface while the arc is still burning, so an operator can trim voltage, wire feed, or torch angle on the part in hand instead of finding lack of fusion or porosity at a downstream station. It is exactly the process window that GMAW/MIG thermal monitoring and ISO 17637 visual acceptance are built to police — captured continuously rather than sampled.
Key Benefits
- 100 % inline inspection — every bead, every part
- Reduce post-weld NDT sampling and rework costs
- Generate ISO 17635 evidence automatically
Related products & guides
- PoolDrop — 480 fps weld pool camera
- Welding Monitoring System — Full Guide
- HeatCore AI Product Page
- Weld Quality Monitoring 101 — Blog
More monitoring clips
- AI monitoring inside a robotic welding cell
- Circular bead tracking on pipe joints
- The visual signature of a reject weld
Transcript (short)
Show transcript
The clip shows a MAG/MIG welding operation with thermal and visual signals overlaid by AI scoring. As the arc progresses, the system tracks heat flow and stability indicators and raises an on-screen flag when an anomaly is detected. The goal is simple: catch parameter drift and defect risk during the weld, not after downstream inspection.
