US 12,229,722 B2
System and methods for performing order cart audits
Ashutosh Prasad, Dallas, TX (US); and Vivek Prasad, Bengaluru (IN)
Assigned to KoiReader Technologies, Inc., Dallas, TX (US)
Filed by KoiReader Technologies, Inc., Dallas, TX (US)
Filed on May 16, 2024, as Appl. No. 18/666,056.
Application 18/666,056 is a continuation in part of application No. 18/702,631, filed on Apr. 18, 2024.
Application 18/666,056 is a continuation in part of application No. 18/636,719, previously published as PCT/US2023/063930, filed on Mar. 8, 2023.
Application 18/702,631 is a continuation of application No. PCT/US2022/079015, filed on Nov. 1, 2022.
Claims priority of provisional application 63/269,081, filed on Mar. 9, 2022.
Claims priority of provisional application 63/263,417, filed on Nov. 2, 2021.
Prior Publication US 2024/0303598 A1, Sep. 12, 2024
Int. Cl. G06V 30/10 (2022.01); G06Q 10/0875 (2023.01); G06V 30/148 (2022.01); G06V 30/224 (2022.01)
CPC G06Q 10/0875 (2013.01) [G06V 30/148 (2022.01); G06V 30/2247 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving first sensor data associated with an item;
generating first machine readable content from the first sensor data based at least in part on a first optical character recognition system, the first machine readable content representing a label associated with the item;
generating second machine readable content from the first sensor data based at least in part on a second optical character recognition system, the second machine readable content representing the label associated with the item;
generating third machine readable content from the first sensor data based at least in part on the first machine readable content and the second machine readable content;
generating a first classification for the item based at least in part on the third machine readable content and a first classification system;
generating a second classification for the item based at least in part on the third machine readable content and a second classification system;
generating an assigned classification for the item based at least in part on the first classification and the second classification;
generating extracted data from the third machine readable content, the extracted data associated with one or more key value descriptors assigned based at least in part on the assigned classification, the extracted data includes a first code, a second code, and a third code associated with the item, the first code different from the second code and the third code, the second code different than the third code, and each of the first code, the second code, and the third code representing an identity of the item;
determining, based at least in part on the assigned classification for the item and the extracted data, an identifier for the item; and
verifying the identifier of the item based at least in part on the first code, the second code, and the third code, an identity of the item.