Identifying fake cosmetics using AI(groverlab.org)
33 pointsby wgrover4 hours ago8 comments
  • fwipsyan hour ago
    Replacement laptop batteries and power adapters have a huge problem with counterfeiting as well. In most cases it's a lot easier to spot because e.g. they rearrange the logos.

    Even if these techniques did not produce false positives on genuine products, I suspect that they would not scale well. If counterfeiters realized they were losing a lot of sales through AI detection, they will just use AI to catch the errors themselves.

    • wgroveran hour ago
      Regarding scaling - I think you're right if the AI mostly detects typos, like it did in this work.

      I'm hopeful that future AI models (perhaps trained for this purpose, not a general-purpose model like I used here) might be able to identify more subtle variations in e.g. injection molding patterns, the surface finish of a pill, things that would be hopefully a lot harder for counterfeiters to fix than a typo.

  • olwmc3 hours ago
    This guy's lab does some really cool stuff using really basic ideas:

    - https://groverlab.org/research/2022-05-06-candycodes.html

    - https://groverlab.org/research/2026-03-19-disintegration-fin...

    (edit: Formatting)

    • wgrover2 hours ago
      Thanks! I'm putting "doing cool stuff with really basic ideas" in my bio... :)
  • cmrx64an hour ago
    The candycodes mentioned at the end of the article are absolutely brilliant as well. These products have extremely intimate relations with bodies and protecting that chain can avoid a lot of harm.
  • qgin2 hours ago
    It's baffling that the counterfeiters don't use the exact same design for the box. At least using the same text. Almost seems harder to make text thats sort of close but not just a straight copy.
    • Gigachadan hour ago
      Because they don’t have the source images. If they just used scans, the text would be fuzzy when reprinted. So they are converting it back to text in editing so it can print perfectly. Aside from some mistakes in the OCR.

      As well as the fact they have already done well enough to fool almost all buyers.

      • trollbridgean hour ago
        Any competent graphic designer can do this. I think it’s a lack of effort because… they don’t need to spend the extra $100.
  • trollbridgean hour ago
    This is genius - I’ve had good look using AI to identify fakes (or just reproductions) in other areas. It’s surprisingly good, and works fast enough to be usable in a fast paced live auction environment.
    • wgroveran hour ago
      That's fascinating! If any of your work using AI to identify reproductions is publicly sharable, I'd love to learn more about it (amateur antique collector here). But if not I understand.
  • an hour ago
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  • hankbond2 hours ago
    This was a fun experiment but dang the formatting of this post was so hard to read.
  • Transformanshen2 hours ago
    This was not quite the way I expected to use AI