VMAX INDUSTRIAL X-RAY

AI X-Ray Void Detection for Complex Internal Defects | VMAX

See how AI-assisted X-Ray inspection supports stable void detection, defect analysis, and result review for complex internal structures.

Void detection is a practical challenge in electronics, soldered structures, and precision manufacturing. VMAX combines industrial X-Ray imaging with AI-assisted analysis to support the identification, analysis, and review of small, low-contrast, irregular, and background-affected void indications.

Local X-Ray inspection crop showing an internal void area
AI-assisted identification of internal void indications in an X-Ray image.
AI-assisted marked local X-Ray crop showing a void area
AI-assisted identification of internal void indications in an X-Ray image.

From manual observation to AI-assisted recognition

Traditional visual inspection cannot directly observe voids inside a material, so X-Ray inspection is an important source of internal defect evidence. In production, however, an indication that can be seen is not always easy to classify.

VMAX introduces AI-assisted analysis into the internal defect inspection workflow. The system analyzes target regions in X-Ray images, identifies void-related features in soldered areas, and supports a combined review of the inspection result.

  • Small voids
  • Weak grayscale contrast
  • Irregular shapes
  • Distributed or clustered voids
  • Background structure interference
  • Different positions and imaging conditions

From finding a defect to measurable analysis

AI-assisted inspection is not limited to locating an indication. After the target region is identified, the result can be analyzed against the applicable process requirement, including area, ratio, and disposition information.

This supports a more standardized workflow: image acquisition → AI-assisted recognition → defect analysis → automated review → result output.

AI inspection for complex process conditions

Production X-Ray images are affected by product structure, material, position, and imaging conditions. The value of AI-assisted void detection is therefore its ability to support practical variation rather than only one ideal reference image.

For inspection questions that are difficult to stabilize with fixed image rules, AI can provide a more flexible recognition layer while keeping engineering criteria and review in the process.

Combining AI with industrial X-Ray inspection

X-Ray helps reveal what is inside; AI helps interpret the image. Together, they can raise the level of automation in internal defect inspection and connect image evidence with production quality review.

VMAX applies AI-assisted analysis to industrial X-Ray scenarios involving electronics manufacturing, solder inspection, and precision industrial inspection, while keeping the final assessment connected to the sample and process context.

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