US 12,393,751 B2
System and method for authentication of rareness of a digital asset
Jeffrey Emanuel, Brooklyn, NY (US)
Assigned to Pastel Growth Fund LLC, Greenwich, CT (US)
Filed by Pastel Growth Fund LLC, Greenwich, CT (US)
Filed on Jan. 27, 2023, as Appl. No. 18/160,515.
Prior Publication US 2024/0256741 A1, Aug. 1, 2024
Int. Cl. G06F 30/27 (2020.01); G06T 3/60 (2024.01); G06V 10/74 (2022.01); G06V 10/77 (2022.01)
CPC G06F 30/27 (2020.01) [G06T 3/60 (2013.01); G06V 10/761 (2022.01); G06V 10/77 (2022.01)] 28 Claims
OG exemplary drawing
 
1. An automated method for authentication of rareness of a digital asset, the method comprising:
generating a first digital fingerprint of the digital asset by running one or more deep learning models on a first visual appearance of the digital asset, the generated first digital fingerprint being a first vector representing the first visual appearance, the one or more deep learning models being trained to process visual appearances of digital assets and generate corresponding first vectors suitable for determining visual appearance similarity;
evaluating similarity of the first digital fingerprint to a registry of registered digital fingerprints by computing corresponding dot products of the first digital fingerprint with the registered digital fingerprints, the registry of registered digital fingerprints being obtained by running the one or more deep learning models on corresponding visual appearances of registered digital assets;
determining corresponding first measures of statistical dependency for the registered digital fingerprints by normalizing the computed dot products to a range having a first end corresponding to no similarity with the first visual appearance and a second end corresponding to identical similarity with the first visual appearance;
selecting a fixed number N of the registered digital fingerprints whose corresponding N normalized dot products are closest to the second end of the normalized range;
determining a corresponding N second measures of statistical dependency by applying a population measurement test of deviation from independence to N combinations of the first digital fingerprint with the selected N digital fingerprints; and
authenticating the rareness of the digital asset using the determined first and second measures of statistical dependency.