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[-] LinkOpensChest_wav 76 points 9 months ago

Adaria Vending Services told MathNEWS that "what’s most important to understand is that the machines do not take or store any photos or images, and an individual person cannot be identified using the technology in the machines. The technology acts as a motion sensor that detects faces, so the machine knows when to activate the purchasing interface—never taking or storing images of customers."

"You should totally trust us about this, even though we failed to disclose the use of facial recognition software upfront."

This company needs to develop some software to go fuck itself.

[-] Cyv_@kbin.social 11 points 9 months ago

Wait so it just recognizes any face? Like the cameras at the walmart checkout that just go "yep thats a face slap a green box on that bitch" and thats it?

[-] LinkOpensChest_wav 36 points 9 months ago* (last edited 9 months ago)

Nope:

Stanley sounded alarm after consulting Invenda sales brochures that promised "the machines are capable of sending estimated ages and genders" of every person who used the machines without ever requesting consent.

Adaria Vending Services is clearly being deceptive, and what I and most non-corporate brainrotted people would consider straight-up dishonest, in the quote I posted above.

That's why I suggested they can go fuck themselves. I hope they lose a shit ton of money over this.

Edit: I see now that you found the same part of the article. In my defense, I only saw your comment in my inbox, but I should have checked the thread lol

[-] Cyv_@kbin.social 20 points 9 months ago

Stanley sounded alarm after consulting Invenda sales brochures that promised "the machines are capable of sending estimated ages and genders" of every person who used the machines without ever requesting consent.

From the article ^ so I stand corrected.

[-] talentedkiwi@sh.itjust.works 4 points 9 months ago

Maybe we just tape a picture of a face to the machine and it will always have bad data.

this post was submitted on 24 Feb 2024
205 points (100.0% liked)

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