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.
If it works anything like Apple’s Face ID twins don’t actually map all that similar. In the general population the probability of matching mapping of the underlying facial structure is approximately 1:1,000,000. It is slightly higher for identical twins and then higher again for prepubescent identical twins.
And yet this woman was mistaken for a 19-year-old 🤔
Meaning, 8’000 potential false positives per user globally. About 300 in US, 80 in Germany, 7 in Switzerland.
Might be enough for Iceland.
Yeah, which is a really good number and allows for near complete elimination of false matches along this vector.
You’re perfectly OK with 8000 people worldwide being able to charge you for their meals?