Face Mask Quality Control Inspection

Detect embedded fibers, stains, strap presence, and mask width/alignment with AI vision

What It Is

Inspection of surgical/N95 masks for foreign material, stains, strap presence/attachment, and dimensional checks (e.g., band width).

Why It's Hard

Fabric texture, color shifts, and lighting changes degrade fixed thresholds; straps can twist or partially detach, and visual cues are subtle at speed.

How Overview Solves It

Segmentation isolates fabric anomalies and strap edges; add numeric thresholds for stain/defect areas.

Classification confirms strap presence/attachment and orientation.

Recommended cameras: OV20i for compact stations; OV80i if micro-defects or fine print require more pixels.

Frequently Asked Questions

Can it detect partially attached straps?

Yes. Segmentation can outline strap edges and attachment points. You set area/position thresholds for what counts as "properly attached."

How does it handle fabric texture variation?

Deep learning models trained on your production samples learn acceptable texture patterns and flag true anomalies like embedded fibers or stains.

What's the typical inspection speed?

The OV20i can inspect masks at line speed (typically under 1 second per mask) with GPU-accelerated inference.

Related Applications

Transdermal Patch Inspection

Coating and edge integrity

Final Packaging Inspection

Seal and label checks

Ready to Get Started?

See how Overview can help with your inspection needs

Book a Demo

Application Resources

Products for Pharma & Medical