What decisions about good, bad and marginal sample range materially change the system concept for transparent part inspection?
Collect labelled good, bad and marginal parts for each proposed transparent-part reference. Include ordinary acceptable variation and samples close to the agreed rejection boundary, not only obvious defects. Keep the expected decision and relevant region with each sample; use the visible-defect definition guide to settle ambiguous labels before the trial.
For in-line inspection of transparent components, describe the realistic range and how changes in good, bad and marginal sample range affect the result you need.
Plan transparent part inspection around representative good, bad and marginal samples, line presentation, lighting, reject handling and challenge criteria. Discuss an optical feasibility trial with Oxford Vision Systems. Use this guide to resolve good, bad and marginal sample range before it limits the final system.
Discuss your application
Keep each sample identifiable through handling, imaging and review. Record its expected category, the condition being assessed and any change in the sample during the study. Where the quality team cannot yet agree the category, retain that uncertainty rather than using the item as an unquestioned pass or fail reference.
Represent the normal supplier, batch, age, environment and upstream-process variation relevant to the inspection. Keep the part reference and production context with the trial record so a result from a selected batch is not assumed to cover the whole production range.
Record which part and defect references were tested with each background, lighting arrangement, view and presentation condition. If a sample or setting changes, retain the revision with its result; do not combine results from different conditions without identifying them.
For Good, Bad and Marginal Sample Range: Optics and lighting selection, describe the current position, required outcome, acceptable limits and known exceptions for visible defect or measurement definition for inspection of transparent components. That lets us compare options against your real production rather than one nominal value.
For Good, Bad and Marginal Sample Range: Optics and lighting selection, describe the current position, required outcome, acceptable limits and known exceptions for good, bad and marginal sample range. That lets us compare options against your real production rather than one nominal value.
For Good, Bad and Marginal Sample Range: Optics and lighting selection, describe the current position, required outcome, acceptable limits and known exceptions for part presentation and production speed. That lets us compare options against your real production rather than one nominal value.
For Good, Bad and Marginal Sample Range: Optics and lighting selection, describe the current position, required outcome, acceptable limits and known exceptions for optics, lighting and environmental conditions. That lets us compare options against your real production rather than one nominal value.
For Good, Bad and Marginal Sample Range: Optics and lighting selection, describe the current position, required outcome, acceptable limits and known exceptions for recipe, reject and line-control interfaces. That lets us compare options against your real production rather than one nominal value.
For Good, Bad and Marginal Sample Range: Optics and lighting selection, describe the current position, required outcome, acceptable limits and known exceptions for false-accept, false-reject and challenge criteria. That lets us compare options against your real production rather than one nominal value.