Machine Vision & Industrial Inspection AI worked example

Model Drift Exposure at 99% current model accuracy on recent inspection data: a worked example in machine vision & industrial inspection ai

What does the result look like when current model accuracy on recent inspection data reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when reviewing AI inspection model performance during production and you need a quick check of whether the current accuracy is within operating spec or has drifted enough to trigger retraining.

The inputs for this scenario

  • Current model accuracy on recent inspection data: 99 % (raised for this scenario; the documented default is 94.5)
  • Retraining trigger threshold (minimum acceptable accuracy): 90 % (unchanged)
  • Target accuracy at original training/validation: 98 % (unchanged)

Working through the calculation

  • Applying the documented formula (Accuracy status: model is within acceptable window when current accuracy is above the retraining threshold) to the inputs above produces each figure below.
  • At this operating point the engine returns 0 outside for model within operating accuracy window, the number this scenario is built around.
  • At this operating point the engine returns -1 value for accuracy margin to nearest threshold.
  • At this operating point the engine returns 90 value for retraining trigger threshold.
  • At this operating point the engine returns 98 value for target accuracy at original training.

How this compares with the baseline

  • Against the tool's baseline example, where current model accuracy on recent inspection data sits at 94.5% and the headline result is 1 inside, this scenario comes in 100% below the baseline at 0 outside.
  • A figure at this level is achievable when current model accuracy on recent inspection data is genuinely sustained, not just peaked for a shift. Aggregate accuracy can stay above threshold while a single critical defect class collapses, so pair this with per-class metrics before clearing a model.

Results at a glance

  • Model within operating accuracy window: 0 outside (headline result)
  • Accuracy margin to nearest threshold: -1 value
  • Retraining trigger threshold: 90 value
  • Target accuracy at original training: 98 value

Run it with your numbers

  • Every input above is editable in the live Model Drift Exposure calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.