Deflectometry | Sentinel Vision

Simple Integration in Industrial Environments

The deflectometry solution is an optical method used to measure deformations, curvature and defects on reflective surfaces. It analyzes how light patterns reflected by the surface are distorted and, based on these distortions, calculates surface shape and geometric deviations with high accuracy.

High Sensitivity to Shape Variations:

Small curvature changes generate significant variations in the reflected pattern, enabling the detection of very small irregularities.

High Spatial Resolution:

Allows identification of extremely small defects distributed across the surface.

Large Area Coverage:

Makes it possible to inspect wide surfaces in a single capture.

Quantitative and Traceable Results:

Provides objective numerical data for quality control, reporting and part comparison.

One Technology, Multiple Defect Types Detected

SENTINEL’s deflectometry solution combines advanced illumination techniques with anomaly detection algorithms applied to reflective materials.

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It automatically detects defects such as inclusions, bumps, grinding marks, craters, notches, lint and surface contamination.

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Key Detection Features

Detection within the SENTINEL solution is based on the analysis of visual characteristics of each part. Key parameters include shape, size and position, ensuring the correct component is in the correct location.

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Color, brightness and texture help distinguish materials and component types. Edges, curvature and contours enable precise profile recognition. The combination of these parameters ensures reliable and accurate detection on production lines.

Solution Benefits

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SENTINEL’s deflectometry solution is highly flexible and adaptable to each industrial process:

✔ Higher Product Quality – Early defect detection prevents out of specification parts from reaching customers.

✔ Cost Reduction – Less rework, less waste and fewer returns.

✔ Increased Production Efficiency – Fast, automated inspection without stopping production.

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