• d-RLY?@lemmy.ml
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      2 months ago

      A friend of mine’s dad worked in some capacity of pigs. Which lead to my friend finding out that some people had either by really random luck in attempting something like the comic or also finding out from interacting with pigs. That in the city I lived in, there is like a “panic” signal that auto calls for lots of help that involved hitting a specific letter or number multiple times. For some reason I want to say it was maybe either zero or O, but I don’t remember off hand.

      So when they would be quickly inputting a plate with enough taps and not thinking, shit would cause resources to be pulled and wasted. Not great for attracting attention to the driver since it is basically pulling aggro. But could be great for moving attention from somewhere else.

  • whotookkarl@lemmy.world
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    2 months ago

    400-700 for a single article of clothing with no mention of what facial recognition software this affects, how effective it is and what is the failure rate, error bounds, etc. Sounds like a scam.

    • Cethin@lemmy.zip
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      2 months ago

      I wouldn’t call it a “scam” just manipulative marketing. This stuff doesn’t seem like it’d work for any of the modern facial recognition options, but that’s just a guess. If it did work well and they were proud of it, you can be sure that’d be part of the marketing, so it at best is mediocre if not useless.

      • JokeDeity@lemm.ee
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        2 months ago

        So I don’t know if you guys actually read the article or not but they absolutely DO claim that it works against YOLO which they claim to be the most popular recognition software. I don’t know about how factual any of that is, but they do make the statement.

        • HumanPerson@sh.itjust.works
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          2 months ago

          Not who you asked, but I think some might argue that it would be a scam if you ordered it and it didn’t arrive or something like that. If it works against one facial recognition model than technically it is just bad marketing. Either way is bad, though.

  • z00s@lemmy.world
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    2 months ago

    The method that Cap_able has patented allows the wearer to incorporate the algorithm into the fabric of the clothing and still look stylish.

    I was with you up until the stylish bit

    • strawberry@kbin.run
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      2 months ago

      can’t they still id you with a mask? apples face id can work with a mask. though I suppose that has depth data too

      • TragicNotCute@lemmy.world
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        2 months ago

        Almost certainly. The facial ID is good enough that US customs didn’t even want to see my passport. Just a photo was enough to let me back in the country. I even significantly changed my hair between departure and arrival. Shit is scary.

  • some_guy@lemmy.sdf.org
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    2 months ago

    It’s only a matter of time before a cop charges someone with obstruction for trying to disrupt a camera system (during the commission of a crime, I mean).

  • dipak@lemmy.ml
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    2 months ago

    Good for privacy! But I really doubt it would work for all recognition systems.

    Some funny pitfalls that may occur - Self driving cars would prefer to hit that person if had to make a choice between him and some other human. And, there is possibility that the Street mapping cars would not blur his face for the lack of detection.

  • fernandu00@lemmy.ml
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    2 months ago

    $246?! I can’t afford that. For that price I’d rather avoid cameras and such. Cool technology though

    • ssm@lemmy.sdf.org
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      2 months ago

      You can’t really “patch” LLMs like most software; you’d have to retrain them, no?

      • OhNoMoreLemmy@lemmy.ml
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        2 months ago

        Yeah but they don’t use LLMs for this, they’ll use some other kind of machine learning mixed in a big pipeline of data processing. It makes it really hard to guess how much work it would take to fix. It might require retraining, might just require an easy patch of the rest of the pipeline.

        My guess is that they’re just shitty jumpers and there’s nothing to fix anyway.

      • CableMonster@lemmy.ml
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        2 months ago

        Oh I dont know, I would just assume they could update (or retrain) to adapt pretty quickly.