Consistent observation
Apply the same configured inspection logic across speed, shifts and teams.
AUTOMATED VISUAL INSPECTION
Automate visual inspection without losing production context.
Spectify reduces dependence on fatigue-sensitive manual observation while preserving the review, validation and traceability needed for accountable quality decisions.
Inline inspectionOperator validationObjective gradingProduction evidence
Live inspectionLINE 01 · 42.0 m/min
AI SURFACE INSPECTIONVisible anomaly → mapped
Quality stateA−
Inspected1,284 m
Events17
A CONNECTED QUALITY LOOP
Automation should strengthen operators—not create an isolated black box.
The platform combines continuous observation with validation workflows, severity rules and reviewable evidence so production teams can trust and improve the system.
Human validation
Let operators confirm, reject or reclassify events through a controlled review flow.
Reusable records
Keep images, locations, decisions and reports connected to the inspected material.
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.
Continuous materials
Industrial surfaces
Technical textiles
Woven fabrics
Nonwovens
Laminates
Printed webs
Coated materials
FROM CAMERA TO DECISION
A complete inspection system is more than an AI model.
Spectify brings together acquisition, edge inference, review, grading and integration so visual inspection can become part of the production workflow.
Observe
Capture the full production surface continuously.
Validate
Review high-value or uncertain events with operators.
Integrate
Connect alerts and reports to PLC, MES, ERP or API workflows.
Improve
Use validated inspection history to strengthen the quality knowledge base.
Questions before deployment
Questions before deployment
Can automated visual inspection replace every manual check?
It can reduce routine observation and improve consistency, while expert review remains valuable for ambiguous, new or commercially sensitive defects.
Can the system run inline?
Yes when the required field of view, resolution, illumination and line speed are technically feasible.
How are false positives managed?
Material-specific data, threshold tuning and operator feedback are used to refine inspection behavior over time.
Related inspection solutions
Evaluate your material
Automate the right inspection problem.
Bring a representative material sample and the defect standard your team already uses. We will evaluate optics, AI and workflow together.