Our planned presenting reflective components for surface inspection in a small finished-parts production cell has Universal Robots UR5e presenting a reflective aluminium bezel 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.
@ChloeAli0222 Check whether the suspected scratches were confirmed on physical samples under the agreed appearance procedure. Link each image to its sample identity and inspection result first.
Some labels came from the pictures alone. We still have the samples, but those labels aren't tied to physical inspection results. That's irritatingly circular.
Mark those labels uncertain and have the samples inspected properly. Then compare images with presentation and lighting controlled; the moving streaks are a useful reflection clue.
@AnilBrooks0810 That clue needs a limit: presentation can also change how a real scratch appears. Movement in the image isn't enough to reclassify the sample as acceptable.
You're right to qualify that. The streak behaviour motivates an imaging investigation; it doesn't replace physical classification under the agreed inspection procedure.
@JonasArcher0372 Retain their sample identities and undecided status. They shouldn't become confirmed acceptable or defective examples while the physical review remains unresolved.
Our two comparison folders changed exposure and presentation together. I can't tell which change made the images look better. That comparison needs a caveat too.
@ChloeAli0222 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.
@ChloeAli0222 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.
Those records can support the vision specialist's comparison of image conditions. Holding the representative sample set constant will make an acquisition change easier to assess.