Our planned checking cosmetic metal surfaces with a fixed camera in a small finished-parts production cell has Fairino FR5 presenting a brushed stainless trim plate to a fixed camera.
The example images contain bright streaks that shift with small presentation differences, yet those streaks are being labelled as scratches.
Before commissioning, I'd like to establish reliable references and image conditions for threshold tuning.
@AnikaAli0247 Were those scratches confirmed on the physical samples using your agreed appearance method? Start by linking each image to a sample and its inspection result.
I've found that some labels were assigned from the images themselves. The samples are still available, but those labels have no corresponding physical inspection results, making the reference circular.
@AnikaAli0247 Keep the image-only labels uncertain pending physical inspection. A controlled comparison of lighting and presentation can then investigate whether the moving streaks indicate reflection effects.
You're right to qualify that. The streak behaviour motivates an imaging investigation; it doesn't replace physical classification under the agreed inspection procedure.
@YasminChan1050 Retain their sample identities and undecided status. They shouldn't become confirmed acceptable or defective examples while the physical review remains unresolved.
I've checked the image folders and found that exposure and presentation both changed between them. Their improved appearance can't be attributed to either change individually.
@AnikaAli0247 I had a separate inspection setup where the 'better lighting' folder used easier samples too. Its name implied a lighting conclusion that the comparison didn't support.
@NaomiBrown0941 Which details did you retain with each image? I can record sample identity and settings, but I'd like a practical record people will actually maintain.
For my separate setup, sample identity, exposure, lighting arrangement and presentation condition were the useful essentials. They let us understand comparisons without relying on recollection.
@NaomiBrown0941 I can explain the reference uncertainty better, although the example images still don't support a performance judgement. Physical classification and image-condition comparisons remain outstanding.
@AnikaAli0247 The remaining physical-label and comparison work explains the open judgement. Clearer uncertainty doesn't yet establish inspection performance.