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submitted 1 month ago by zdhzm2pgp@lemmy.ml to c/privacy@lemmy.ml
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[-] artyom@piefed.social 7 points 1 month ago

I actually recently bought a pair of Zennis and saw this advertising before it made the rounds in the media. The advertising was extremely generic in describing how it worked.

So this is it? Just IR blocking? Like, your eyes are not your whole face. Put a pair of sunglasses on and achieve the same thing...

[-] deranger@sh.itjust.works 7 points 1 month ago

The idea is it reflects IR and blows out the exposure.

[-] artyom@piefed.social 2 points 1 month ago
[-] fruitycoder@sh.itjust.works 3 points 1 month ago

I agree with your sentiment. Security is trust but verify kind of field and some proof from a third party to kind of audit this claim would be great.

Also it's not the guy you linked to jobs lol

[-] MalReynolds@piefed.social 3 points 1 month ago

Security is trust but verify kind of field

Nope, security is an archetypal verify before trust kind of field.

[-] fruitycoder@sh.itjust.works 1 points 1 month ago

You I guess it more depends on the threat model. That can also be a fully valid stance as well

[-] deranger@sh.itjust.works 2 points 1 month ago

Prove what? I’m merely relaying the info from the article you didn’t read.

[-] artyom@piefed.social 1 points 1 month ago

Prove what?

...what you said? That these lenses reflect IR and blow out the exposure.

the article you didn’t read.

...the paywalled article? Yeah, didn't read it.

[-] socsa@piefed.social 4 points 1 month ago

It kind of has a red tinted layer which creates red blobs in quite a lot of different lighting conditions. Even with non IR photography, if you are standing outside or under bright lights there's a good chance any pictures will end up with red artifacts in the lenses, partially or completely obscuring your eyes.

[-] electric_nan@lemmy.ml 4 points 1 month ago

Videos testing these glasses show that face-id doesn't work when wearing them. This demonstrates that (at least for Apple), covering your eye area is enough to defeat IR-based facial recognition.

this post was submitted on 27 Oct 2025
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