If you create your own test data, you’re more likely to pass the test. So what data was used for Amazon One palm/vein identity scanning accuracy testing?
(Part of the biometric product marketing expert series)
(Image from Imagen 3)
I’ve previously discussed Amazon’s biometric palm/vein identity scanning efforts. But according to Dr. Sai Balasubramanian, M.D., J.D. in Forbes, Amazon is entering a new market, healthcare.
“Amazon announced that it is partnering with NYU Langone to launch Amazon One, a contactless palm screening technology, throughout the health system.”
Which makes sense, as long as the medical professional isn’t wearing gloves. I don’t know if Amazon One can read veins through medical gloves.
As I reflected upon this further, I realized something:
- NIST has tested fingerprint verification and identification.
- NIST has tested facial recognition. (Not that Amazon participated.)
- NIST has tested iris recognition.
But NIST has never conducted regular testing of palm identification in general, or palm/vein identity scanning in particular. Not for Amazon. Not for Fujitsu. Not for Imprivata. Not for Ingenico. Not for Pearson. Not for anybody.
So how do we know that Amazon One works?
Because Amazon said so.
“Amazon One is 100 times more accurate than scanning two irises. It raises the bar for biometric identification by combining palm and vein imagery, and after millions of interactions among hundreds of thousands of enrolled identities, we have not had a single false positive.”
Claims may dazzle some people, but (as of 2023) Jim Nash was not among them:
“The company claims it is 99.999 percent accurate but does not offer information supporting that statistic.”
And so far I haven’t found any either.
Since the company trains its algorithm on synthetically generated palms, I would like to make sure the company performs its palm/vein identity scanning accuracy testing on REAL palms. If you actually CREATE the data for any test, including an accuracy test, there’s a higher likelihood that you will pass.
I think many people would like to see public substantiated Amazon One accuracy data. ZERO false positives is a…BOLD claim to make.