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Are we teaching our camera to reject reflections? (Fairino FR5)

OmarChan1100 · 2026年8月14日 00:09 UTC

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OM
OmarChan1100
We're planning planning camera inspection of reflective parts, with Fairino FR5 presenting a polished metal cover to a fixed camera in a cosmetic components workshop. Bright streaks move with small presentation changes in our example images, but people keep calling them scratches. We haven't commissioned the cell. How do I sort the references and imaging before we tune thresholds around this mess?

17 条回复

NA
NathanBaker0460

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.

22
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OmarChan1100

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

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NathanBaker0460

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.

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NaomiAllen0332

@NathanBaker0460 A scratch's visibility can change with presentation too. Don't let 'moving streak' quietly become the rule for relabelling something acceptable.

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NathanBaker0460

Correct. I meant a reason to investigate the imaging, not a new defect label. Physical acceptance stays with the agreed inspection method.

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GA
GabrielBrooks0801

@NathanBaker0460 So uncertain isn't the same as good? Where do those images go?

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NathanBaker0460

Retain their sample identities and undecided status. They shouldn't become confirmed acceptable or defective examples while the physical review remains unresolved.

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OmarChan1100

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

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NoraBell0670

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.

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OmarChan1100

What did you keep beside each image? I can manage sample ID and settings, but I don't want a form nobody fills in

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NoraBell0670

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.

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NathanBaker0460

Use those details to ask your vision specialist for controlled comparisons on representative surfaces. Keep the sample set fixed when assessing an acquisition change.

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GA
GabrielBrooks0801

Would a learned model just cope with the lighting differences?

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NathanBaker0460

Any learned model still depends on reliable labels and representative evaluation. Changing the method doesn't resolve unconfirmed physical defects or an uncontrolled comparison of image conditions.

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NaomiAllen0332

@NathanBaker0460 And don't tune and test on different pictures of the same physical sample. That isn't the independence the result would suggest.

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OmarChan1100

@NaomiAllen0332 I've settled the review method: physical reference checks plus controlled image comparisons. That answers where to start; whether our inspection concept is suitable still depends on the resulting evaluation

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NathanBaker0460

That gives the evaluation a sound question to answer. Suitability remains dependent on those checks, as you've made clear.

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