Visible anomaly detection
Identify and classify optically measurable defects against a material-specific taxonomy.
AI SURFACE DEFECT DETECTION
Turn every visible surface defect into traceable quality intelligence.
Spectify combines industrial imaging, AI-powered defect detection and roll-level traceability to inspect continuous materials at production speed—without reducing quality control to a single pass/fail alert.
Continuous inspectionDefect localizationHeatmap evidenceRoll-level traceability
Live inspectionLINE 01 · 42.0 m/min
AI SURFACE INSPECTIONVisible anomaly → mapped
Quality stateA−
Inspected1,284 m
Events17
Illustrative interface · Sample values
FROM ANOMALY TO EVIDENCE
Detection is useful. Connected evidence changes production.
A surface defect only becomes operationally useful when the system records what happened, where it happened, how severe it is and which action followed.
Position-aware mapping
Connect each validated event to its precise location on the continuous material.
Quality intelligence
Turn detections, operator feedback and production history into reusable evidence.
Materials & applications
Difficult continuous surfaces, inspected on their own terms.
AI-powered surface inspection is configured around material appearance, production conditions and the visible defects that carry real quality risk.
Technical textiles
Woven fabrics
Knitted fabrics
Nonwovens
Coated surfaces
Films
Paper webs
Printed materials
DESIGNED FOR THE LINE
Surface inspection must fit the material, optics and process.
Camera, lens, illumination, line speed and defect resolution are validated together. Spectify is configured around the actual surface—not a generic vision demo.
Acquire
Capture continuous material with controlled industrial imaging.
Understand
Detect, localize, classify and grade visible anomalies.
Act
Create alerts, heatmaps, reports and production-ready decisions.
Improve
Use validated inspection history to strengthen the quality knowledge base.
SURFACE DEFECT INSPECTION
Start with the defects that change a quality decision.
Surface defect detection depends on the visible contrast between acceptable material and an unwanted deviation. Define defect families, minimum dimensions and commercial severity with the quality team, then assess whether the imaging setup reveals them consistently.
Holes and contamination
Holes, stains and foreign particles are candidate defects where their contrast and dimensions are optically visible. Porous or naturally mottled materials require examples of acceptable variation as well as defects.
Yarn and structural deviations
Warp or weft irregularities, streaks and repeating texture changes need to be evaluated against the fabric construction. A subtle transverse line on an automotive textile may require different lighting from a dark stain.
Coating, lamination and print
Visible coating streaks, surface marks and print deviations can be evaluated on representative samples. Internal layer defects require separate assessment; surface imaging alone does not establish what is happening inside a laminate.
MATERIAL VALIDATION
Validate detection on production material before scale-up.
Use a pilot with agreed acceptance criteria to establish what the complete system can detect. Results should separate material families, defect classes and operating conditions rather than combine them into a single headline accuracy figure.
Build a representative sample set
Include good material, known defects, color and pattern variants, and borderline cases. Keep a held-out evaluation set separate from samples used to tune the model and thresholds.
Measure misses and false alarms
Count known defects found and missed by class and size. Record false alarms per inspected length or area, with a stated counting rule and sample size so the results remain interpretable.
Verify on the moving line
Repeat evaluation at agreed width and speed. Check image sharpness, lighting stability, position error and review latency under production conditions before accepting the deployment.
Questions before deployment
Questions before deployment
What counts as a surface defect?
Any unwanted visible or optically measurable deviation from the approved surface standard can be evaluated, including contamination, holes, streaks, coating anomalies, print defects and recurring structural patterns.
Can one model inspect every material?
No. Reliable inspection depends on material appearance, defect taxonomy, optical setup and production conditions. Spectify validates each material family before scale-up.
Does Spectify only inspect textiles?
No. Textiles are a strong area of expertise, while the platform direction covers nonwovens, films, paper, coated surfaces and other continuous materials.
What is the minimum detectable defect size?
There is no single size for every material. Detectability depends on optical contrast, pixel scale, focus, lighting, motion and the defect type. The smallest critical defect must be evaluated at the target production speed.
How should surface inspection accuracy be measured?
Use a held-out set of labeled defects and report misses by class and size, together with false alarms per inspected length or area. State material, width, speed, sample size and counting rules so the result can be reviewed.
Can a surface camera detect hidden defects inside laminated material?
Only when the defect produces a measurable optical signal in the selected imaging setup. Hidden defects require a separate feasibility assessment and may need a different inspection method.
Related inspection solutions
Evaluate your material
Evaluate the surface that matters.
Share the material, width, line speed and defects that carry the highest quality risk. Spectify will define a credible inspection path.