US 11,914,761 B1
Systems and methods for virtual artificial intelligence development and testing
Richard Raymond Schweet, Kirkland, WA (US); Bendenetto Christopher Ruggiero, Cincinnati, OH (US); Kyle Robert Hartshorn, Cincinnati, OH (US); Gregory Ryan Sweeney, Cincinnati, OH (US); Kyle Dean Cypher, Houston, TX (US); Melissa Yenni Scharf, Cincinnati, OH (US); Emily Ann Meyer, Denver, CO (US); Alec Brenders Lisy, Cincinnati, OH (US); Jeremy David Jarrett, Cincinnati, OH (US); and Matthew David Fye, Cincinnati, OH (US)
Assigned to SAEC/Kinetic Vision, Inc., Cincinnati, OH (US)
Filed by SAEC/Kinetic Vision, Inc., Cincinnati, OH (US)
Filed on May 5, 2023, as Appl. No. 18/143,659.
Application 18/143,659 is a continuation of application No. 17/752,018, filed on May 24, 2022, granted, now 11,644,891.
Application 17/752,018 is a continuation of application No. 16/919,983, filed on Jul. 2, 2020, granted, now 11,372,474, issued on Jun. 28, 2022.
Claims priority of provisional application 62/870,326, filed on Jul. 3, 2019.
Int. Cl. G06F 3/01 (2006.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06Q 30/0201 (2023.01)
CPC G06F 3/011 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01)] 32 Claims
OG exemplary drawing
 
1. A computer implemented method, comprising:
provisioning, by a virtual environment computer system, a virtual environment, wherein the virtual environment is a digital twin virtual environment of a real-world physical environment; wherein the virtual environment comprises:
a plurality of virtual objects, wherein the plurality of virtual objects are each based on real-world physical objects, and
a virtual sensor, wherein the virtual sensor is modeled to generate a virtual output corresponding to an output of a real-world sensor of the real-world physical environment;
collecting, with an artificial intelligence computing system, information based on detection of at least one of the plurality of virtual objects and the virtual output of the virtual sensor for training of the artificial intelligence computing system; and
testing an accuracy of the artificial intelligence computing system, wherein testing the accuracy is based on the detection of the at least one of the plurality of virtual objects within the digital twin virtual environment.