CX Teknoloji
TR·EN·AR
END-01 · Industrial Solutions

Surface and Defect Inspection

Catch scratches, weld faults, porosity and tears at line speed.

0.05 mm
Smallest distinguishable defect
60 parts/min
Inspection at line speed
100%
Per-part record and traceability

A surface defect can be found by eye; being able to find it at line speed and on every single part is a lighting and model problem.

The system does not use the defect itself but how the defect behaves under light: pulsed ring, dark field or angled lighting give scratches, porosity, weld voids and tears their contrast. An anomaly-based model then learns the sound surface and flags every region that deviates from it, so defect types never seen before are caught as well. The verdict reaches the PLC as an OK/NOK signal within milliseconds.

How it works

01 / LIGHTING

The defect is revealed by light

A scratch appears under angled light, porosity under dark-field lighting; the right light is half the model.

02 / ANOMALY

The sound surface is learned

The model learns the sound surface rather than defect samples; the deviation map yields defect candidates.

03 / CLASSIFICATION

Defect type and severity

Candidate regions are classified by type and size; parts out of tolerance are rejected.

In which mould, which shift and which raw-material batch do defects appear?

The value of surface data is not the reject rate but showing where the defect comes from. A scratch recurring on parts from the same mould turns into a maintenance plan; porosity rising in one batch turns into a supplier conversation. Inspection stops being a cost line and becomes an input to process correction.

Distribution by defect type · last 30 days
Scratch / abrasion38%
Porosity / void24%
Weld fault17%
Stain / contamination12%
Burr9%

Most scratch and abrasion defects occur during handling and transport rather than production; the recorded images make that distinction provable.

Weekly reject rate · −37% (8 weeks)
W14.3
W24.0
W33.6
W43.3
W53.1
W62.9
W72.8
W82.7

The decline comes not from the model improving but from eliminating the root causes that became visible in the first weeks.

Use cases

Metal

Surface and weld inspection

Scratch, spot-weld and fill control on sheet surfaces.

Glass

Flat glass inspection

In-line detection of bubbles, scratches and wave faults.

Plastic

Burr and stain

Form and surface defects on injection-moulded parts.

Textile

Fabric defects

Continuous inspection of tears, holes and weft faults.

Technical requirements

CameraGlobal shutter industrial camera; 5–20 MP, line-scan option depending on line speed
LightingPulsed ring, dark-field or angled bar lighting; ambient light isolated
SensitivityDefect discrimination down to the 0.05 mm range depending on optics
IntegrationPLC digital output, Profinet/EtherNet-IP, MES record, reject actuator
RecordsEach part's image and verdict are archived with its serial number

Frequently asked questions

How does Surface and Defect Inspection work?

A surface defect can be found by eye; being able to find it at line speed and on every single part is a lighting and model problem.

Are our existing cameras suitable for this solution?

Required camera specification: Global shutter industrial camera; 5–20 MP, line-scan option depending on line speed. Before installation we assess your camera inventory free of charge and report which points are suitable and, if needed, which camera should be added.

What results and indicators does it provide?

Key indicators: Smallest distinguishable defect: 0.05 mm; Inspection at line speed: 60 parts/min; Per-part record and traceability: 100%. Most scratch and abrasion defects occur during handling and transport rather than production; the recorded images make that distinction provable. Thresholds are calibrated on your own site during the pilot.

Which systems does it integrate with?

PLC digital output, Profinet/EtherNet-IP, MES record, reject actuator. Events are published over REST API and MQTT, so it connects to your existing MES, ERP, VMS and alarm infrastructure.

Is it compliant with KVKK, Türkiye's data-protection law?

Footage is processed on an edge server inside your facility; raw video is not sent to the cloud. Facial recognition is not used; analytics outputs are anonymous and event clips are deleted automatically when the defined retention period ends.

See this solution on your own site
Let's test it with your existing camera in a 15-minute demo call.
Book a 15-min demo

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Technical articles on this topic (in Turkish)

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