US 12,367,491 B1
Intelligent method and apparatus to validate safe deposit box leveraging spatial computing LiDAR technology
Shailendra Singh, Maharashta (IN); Ankit Dholakiya, Gujarat (IN); and Arup Francis, Chennai Tamil Nadu (IN)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Mar. 15, 2024, as Appl. No. 18/605,911.
Int. Cl. G06Q 20/38 (2012.01); G06T 11/00 (2006.01); G01S 17/89 (2020.01)
CPC G06Q 20/389 (2013.01) [G06T 11/001 (2013.01); G01S 17/89 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for monitoring contents of a safe deposit box leveraging spatial computing light detection and ranging (“LiDAR”), the method comprising:
creating a baseline non-fungible token (“NFT”) comprising:
executing, using a LiDAR camera positioned inside the safe deposit box, a first scanning of the contents of the safe deposit box to establish a first spatial map inside the safe deposit box;
setting, using an AI engine and the first scanning, a plurality of virtual spatial anchors on the contents;
defining, using the AI engine, relative distances between the anchors;
extracting, using a spatial telemetry extraction engine, LiDAR spatial metadata from the first scanning; and
minting, using an NFT generation engine, the baseline NFT using the first spatial map, the anchors, the relative distances and the metadata;
using the LiDAR camera to execute, at a point in time later than the minting of the baseline NFT, a second scanning of the contents of the safe deposit box to establish a second spatial map;
extracting, using the spatial telemetry extraction engine, second metadata from the second scanning;
comparing the baseline NFT, using a deep learning module, with the second spatial map and the second metadata;
generating, using an anomaly scoring engine, an anomaly score based on the comparing; and
alerting a user when the anomaly score exceeds an anomaly threshold.