A weld that looks fine to the eye can hide porosity, undercut, or insufficient penetration. Post-weld vision inspection — combined with thermal imaging where available — catches the defects that ultrasonic testing only finds at the QA station, hours after the weld cooled.
When a defect is found at end-of-line QA, the part is scrap and the fixture upstream may need adjustment. Inline weld inspection catches the defect in the seconds after the weld is laid — before the next weld, before the part advances. The fix is a parameter adjustment, not a rebuild.
We add a weld-following camera to the existing robot end-of-arm tooling. The camera images each weld immediately after the torch passes; AI grades the weld for porosity, undercut, spatter, and continuity. Bad welds trigger an immediate alert to the operator; the robot pauses before the next part is loaded.
Spec the IX-AS/01 with a heat-resistant enclosure and laser line projector for 3D weld profiling. The combination resolves porosity, undercut depth, and bead height — the three measurements that predict weld quality. Per-weld results feed the welding controller for closed-loop parameter adjustment.
Camera follows the torch. Each weld imaged within 1-2 seconds of laydown.
2D image + (optional) 3D laser-line profile capture surface and cross-section.
AI evaluates each weld against quality classes. Per-class severity score.
Bad weld → operator alert + robot pause. Good weld → next part loaded. Telemetry logged.
Tell us your line, your existing equipment, and your tolerance window. We'll come back with a retrofit assessment, a greenfield specification, and a rough cost estimate within two business days.