A big biometric security company in the UK, Facewatch, is in hot water after their facial recognition system caused a major snafu - the system wrongly identified a 19-year-old girl as a shoplifter.
A big biometric security company in the UK, Facewatch, is in hot water after their facial recognition system caused a major snafu - the system wrongly identified a 19-year-old girl as a shoplifter.
Meaning, 8’000 potential false positives per user globally. About 300 in US, 80 in Germany, 7 in Switzerland.
Might be enough for Iceland.
no,people in iceland are so genetically homogeneous, they probably match thanks to everyone being so related
Yeah, which is a really good number and allows for near complete elimination of false matches along this vector.
I promise bro it’ll only starve like 400 people please bro I need this
Who’s getting starved because of this technology?
A single mum with no support network who can’t walk into any store without getting physically ejected, maybe?
You’re perfectly OK with 8000 people worldwide being able to charge you for their meals?
No you misunderstood. That is a reduction in commonality by a literal factor of one million. Any secondary verification point is sufficient to reduce the false positive rate to effectively zero.
Which means the face recognition was never necessary. It’s a way for companies to build a database that will eventually get exploited. 100% guarantee.
Like, running a card sized piece of plastic across a reader?
It’d be nice if they were implementing this to combat credit card fraud or something similar, but that’s not how this is being deployed.
If used as login, together with some other method of access restriction?
Yeah, exactly.