A single speck of dust under a clear coat is small enough to miss on a quick glance and large enough to send a body back through repair. Dust, fibers and lint are among the most common paint finish complaints because they come from everywhere: supply air, conveyors, clothing, surface prep and the booth itself. Inspectors can find the nibs they see, but tracing where they came from takes pattern analysis that human eyes cannot do at line speed. To see how particle recognition and booth correlation work on real panels, explore a recorded dust-defect case from a paint line like yours with iFactory.
Paint Dust Contamination Detection With AI Vision
Recognize micron-scale particles, analyze where they cluster and link each pattern to the booth conditions that caused it.
Five Entry Points Into a Paint Booth
Every dust nib has an origin, and the first step to removing it is knowing which entry point is most likely responsible.
What Each Particle Type Looks Like to the Camera
Shapes are simplified illustrations of typical appearance.
Classify every nib instead of just counting them
iFactory can label particle shape and size from your panel images and show which types dominate each shift.
Random Specks Versus a Pattern Pointing to a Source
When defects land evenly across a panel the cause is usually general air quality, but a tight cluster points to one specific place.
Matching Defect Spikes to What Happened in the Booth
Bars are illustrative of defect counts by booth event, not measured data.
From Particle Type to the Most Likely Cause
| Particle Type | Likely Source | Vision Signature | First Action |
|---|---|---|---|
| Fiber | Garments, tack cloths | Long thin line, random angle | Check garment and wipe routine |
| Grit | Sanding or prep residue | Angular, clusters near repair zones | Review blow-off and wipe step |
| Fleck | Overspray or sealer debris | Round, repeats at same position | Inspect fixtures and booth walls |
| Lint | Wipes, air handling | Soft blob, spread across panels | Check filters and airflow |
Five Moves That Turn Dust Data Into a Fix
What AI Vision Still Needs From Your Team
Questions Paint Quality Teams Ask About Dust Detection
Cut Dust Defects by Fixing Their Source, Not Their Symptoms
Give your paint line particle-level visibility and booth-aware analysis that points repair effort in the right direction.
