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E3TAM

Injector surface analysis and inspection

Application example

The injector body is rotated 360° under diffuse light while a line-scan camera unwraps the machined surface into a single image. Deep-learning anomaly analysis flags scratches and dents that deviate from the learned good surface.

Artificial intelligenceline scandiffuse lightingsurface unwrappinganomaly analysis
Information delivered

The unwrapped image, anomaly map and score appear on the operator display. The region exceeding the threshold is highlighted on the part; the cabinet status light indicates the inspection result.

Injector surface analysis and inspectionILLUSTRATIVE SIMULATION
Injector surface analysis and inspection
  1. 01 Infeed
  2. 02 Scan
  3. 03 Analysis
  4. 04 Decide
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The shuttle brings the part on its rotary chuck to the scan station.

Scan angle
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Anomaly score
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Mark length
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Scenes are illustrative simulations; they are not customer references or performance guarantees.

Need

Turning marks and changing reflections on the cylindrical metal body can resemble scratches. A single view cannot cover the circumference; illumination must remain consistent as the part rotates.

Solution approach

As the rotary chuck turns the body one full revolution, a line-scan camera unwraps the surface; an encoder ties line triggering to the rotation angle. Diffuse bar lights on both sides of the camera light the scan line symmetrically: direct reflection misses the camera and a scratch edge shows up by scattering light. A deep-learning model derives an anomaly map and score from the unwrapped image.

Process steps

  1. 01

    Infeed

    The shuttle brings the part on its rotary chuck to the scan station.

  2. 02

    Scan

    While the part turns 360° the line-scan camera captures the surface line by line.

  3. 03

    Analysis

    The AI model computes an anomaly map from the unwrapped image.

  4. 04

    Decide

    The anomaly score is compared with the threshold and the defect location is marked.

Vision system design

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