| CPC H04L 9/14 (2013.01) [G06F 21/32 (2013.01)] | 20 Claims |

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1. A method for processing and executing transactions using a spatial computing Internet-of-Things (“IoT”) device, the method comprising:
generating a map from mapping, using a light detection and ranging (“LiDAR”) analyzer, an environment surrounding a spatial computing IoT device;
scanning the map by using a facial biometric scanner, the facial biometric scanner being a part of the spatial computing IoT device;
identifying, from the scanning, an image of a face included in the map;
retrieving, from the scanning, user identifier information (“UII”) of the identified face;
dividing the image of the identified face into a plurality of pixels;
storing the UII in the plurality of pixels, one discrete bit of the UII stored in each pixel;
encrypting the UII into an encrypted UII algorithm, the encrypted UII algorithm stored as a public key;
transmitting, via an institution integration module located in the spatial computing IoT device, the public key to an entity computing system;
decoding, at the spatial computing IoT device, the public key into a plurality of numbers, each number in the plurality of numbers corresponding to a color included in a plurality of colors;
arranging each color over a discrete one of the plurality of pixels;
overlaying each color over each discrete pixel;
encrypting the overlayed colors into an encrypted facial biometric algorithm, the encrypted facial biometric algorithm stored as a private key;
converting the private key into a user trust score, the user trust score corresponding to the identified face;
verifying, by a threshold trust score, an authenticity of a user associated with the identified face, said verifying being based upon the user trust score; and
executing a transaction requested by a user associated with the spatial computing IoT device, said transaction associated with a user associated with the identified face, said executing using the private key and the public key as a dynamic passkey for the transaction.
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