US 12,450,719 B2
Image inspection systems and methods for integrating third party artificial intelligence platforms
Barry Sauer, Fort Lauderdale, FL (US)
Assigned to Rapiscan Systems, Inc., Torrance, CA (US)
Filed by Rapiscan Systems, Inc., Torrance, CA (US)
Filed on Jul. 11, 2022, as Appl. No. 17/811,708.
Claims priority of provisional application 63/268,731, filed on Mar. 1, 2022.
Claims priority of provisional application 63/221,150, filed on Jul. 13, 2021.
Prior Publication US 2023/0281786 A1, Sep. 7, 2023
Int. Cl. G06T 7/00 (2017.01); G01V 5/20 (2024.01)
CPC G06T 7/0008 (2013.01) [G01V 5/20 (2024.01); G06T 2207/10116 (2013.01)] 26 Claims
OG exemplary drawing
 
1. A computer readable non-transitory medium comprising a plurality of executable programmatic instructions that, when executed in a computer system, enables a plurality of different artificial intelligence models to be applied to image data, wherein the image data is acquired from one or more inspection systems and wherein the plurality of executable programmatic instructions, when executed:
automatically generates a recommendation to apply a specific one of the plurality of different artificial intelligence models to the image data, wherein the image data is at least partially representative of cargo, wherein said image data has manifest data associated therewith, and wherein said recommendation is generated based on at least one of a) the manifest data, b) a radiological analysis of the cargo indicating that the cargo contains a particular type of good, and c) an expected type of good based on at least one of a carrier of the cargo, a time of year, a time of day, an origin, and a destination;
receives an instruction to apply the recommended one of the plurality of different artificial intelligence models to said image data, and wherein said instruction is received from an operator workstation in data communication with at least one of the one or more inspection systems;
acquires an application program interface specific to said recommended one of the plurality of different artificial intelligence models, wherein the application program interface is configured to enable the recommended one of the plurality of different artificial intelligence models to be applied to the image;
causes the one of the plurality of different artificial intelligence models to be applied to the image data using the acquired application program interface;
receives from the recommended one of the plurality of different artificial intelligence models data representative of a degree to which said cargo in the image data corresponds to an expected type of cargo based upon the manifest data associated with said cargo; and
transmits the data representative of the degree to which the cargo in the image corresponds to the expected type of cargo to the operator workstation and cause said data representative of the degree to which the cargo in the image data corresponds to the expected type of cargo to be displayed on the operator workstation.