I had to try to educate sales people what such numbers actually mean.
With fingerprint readers, there are false positives (your finger is accepted, although it should not), and false negatives (your finger gets rejected although it should accept). The chances for both look small, but if you have 700+ people in the system, the chance of a random person to be accepted as one of the 700 is about bigger than 50%. And there was a big chance for any valid user to be logged in as someone else.
I had to try to educate sales people what such numbers actually mean.
With fingerprint readers, there are false positives (your finger is accepted, although it should not), and false negatives (your finger gets rejected although it should accept). The chances for both look small, but if you have 700+ people in the system, the chance of a random person to be accepted as one of the 700 is about bigger than 50%. And there was a big chance for any valid user to be logged in as someone else.
Pretty much this. A 0.02% error margin when there are tens of thousands of visitors per year, means it’s almost guaranteed to have errors.
99.9% ^700 = 49.6% chance of no errors occurring.
99.98% ^3466 = 50% chance of no errors occurring.
99.98% ^23000 = 1% chance of no errors occurring.
Fingerprints as username??