US 12,475,153 B2
Search assistant method using computer vision analysis and artificial intelligence
Frank C. Nicholas, Wilmette, IL (US)
Assigned to CARDINAL HOLDINGS LLC, Evanston, IL (US)
Filed by Cardinal Holdings LLC, Evanston, IL (US)
Filed on May 10, 2024, as Appl. No. 18/661,501.
Application 18/661,501 is a continuation of application No. 16/507,023, filed on Jul. 9, 2019, granted, now 11,983,206.
Claims priority of provisional application 62/695,199, filed on Jul. 9, 2018.
Prior Publication US 2024/0303260 A1, Sep. 12, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/33 (2025.01); G06F 16/21 (2019.01); G06F 16/3332 (2025.01); G06F 16/353 (2025.01); G06F 16/36 (2019.01); G06F 16/9535 (2019.01); G06F 40/279 (2020.01); G06Q 50/18 (2012.01)
CPC G06F 16/3338 (2019.01) [G06F 16/374 (2019.01); G06Q 50/184 (2013.01); G06F 16/211 (2019.01); G06F 16/353 (2019.01); G06F 16/9535 (2019.01); G06F 40/279 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of searching for patent documents in a patent database, wherein the patent database is configured using artificial intelligence analysis for at least one patent classification, the method comprising:
receiving at least a portion of a target patent document, wherein the portion of the target patent document is machine-readable, and wherein the portion of the target patent document is processed using computer vision analysis;
conducting a search of the patent database to identify at least one patent document in the patent database, wherein the search of the patent database is conducted based on the portion of the target patent document;
determining at least one portion of the at least one patent document;
determining a citation to the at least one portion of the at least one patent document, wherein the citation identifies a location of the at least one portion within the at least one patent document; and
mapping the at least one portion of the patent document to at least one portion of the target patent document.