Granted Patent B2

US 12,386,097 · App. 18/452,036 · Granted Aug 12, 2025

Inventor: Edward James Morton (Guildford, GB)

Assignee: Rapiscan Systems, Inc.

G01V5/271G01V5/232G01N2223/639G05B2219/42222

Abstract

Claims (40)

1. A non-transient computer readable medium comprising a plurality of programmatic instructions that, when executed by at least one processor:

receive scan data, wherein the scan data are representative of contents positioned within one or more containers;

perform an automated detection process on the scan data;

receive descriptive information of the contents of the one or more containers;

assess the scan data based on the automated detection process;

for a first portion of the assessed scan data, acquire a threat object image from a library of images representative of known threats and combine the threat object image with the first portion of the assessed scan data to generate hybrid scan data; and

send the hybrid scan data and a second portion of the assessed scan data to an operator workstation, wherein the second portion of the assessed scan data does not have a threat object image from the library of images representative of known threats and wherein an amount of the second portion of the assessed scan data is greater than an amount of the hybrid scan data.

2. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions automatically allocate the hybrid scan data and the second portion of the assessed scan data to at least one operator workstation for analysis.

3. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions generate optical character recognition data indicative of characters associated with the one or more containers.

4. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions execute a material discrimination process on the scan data.

5. The non-transient computer readable medium of claim 4 , wherein, when executed by the at least one processor, the plurality of programmatic instructions first executes the material discrimination process on the scan data and then subsequently executes the automated detection process on the scan data.

6. The non-transient computer readable medium of claim 5 , wherein, when executed by the at least one processor, the plurality of programmatic instructions is configured to display the hybrid scan data and the second portion of the assessed scan data on an operator workstation after the material discrimination process and the automated detection process is performed on the scan data.

7. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions combines the threat object image with the first portion of the assessed scan data by superimposing the threat object image onto an image corresponding to the first portion of the assessed scan data.

8. The non-transient computer readable medium of claim 7 , wherein the first portion of the assessed scan data combined with the threat object image corresponds to an image of contents without a threat.

9. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions determines a severity of a threat item based on the scan data.

10. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions receives decision data from an operator workstation, wherein the decision data comprises a categorization of the threat item.

11. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions generates and transmits a notification based on the decision data.

12. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions allocates each threat item to one of a number of threat categories and wherein each of the threat categories corresponds to a different level of threat.

13. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions allocates the hybrid scan data and the second portion of the assessed scan data to one or more operator workstations based on an overall threat level.

14. The non-transient computer readable medium of claim 1 , wherein, when executed by the at least one processor, the plurality of programmatic instructions allocates the hybrid scan data and the second portion of the assessed scan data to one or more operator workstations based on a volume of traffic.

15. A method implemented by at least one processor configured to execute a plurality of programmatic instructions in a non-transient computer readable medium, the method comprising:

receiving scan data, wherein the scan data are representative of contents positioned within one or more containers;

performing an automated detection process on the scan data;

receiving descriptive information of the contents of the one or more containers;

assessing the scan data based on the automated detection process;

for a first portion of the assessed scan data, acquiring a threat object image from a library of images representative of known threats and combining the threat object image with the first portion of the assessed scan data to generate hybrid scan data; and

sending the hybrid scan data and a second portion of the assessed scan data to an operator workstation, wherein the second portion of the assessed scan data does not have a threat object image from the library of images representative of known threats and wherein an amount of the second portion of the assessed scan data is greater than an amount of the hybrid scan data.

16. The method of claim 15 , comprising automatically allocating the hybrid scan data and the second portion of the assessed scan data to at least one operator workstation for analysis.

17. The method of claim 15 , comprising generating optical character recognition data indicative of characters associated with the one or more containers.

18. The method of claim 15 , comprising executing a material discrimination process on the scan data.

19. The method of claim 18 , comprising first executing the material discrimination process on the scan data and then subsequently executing the automated detection process on the scan data.

20. The method of claim 19 , comprising displaying the hybrid scan data and the second portion of the assessed scan data on an operator workstation after the material discrimination process and the automated detection process is performed on the scan data.

21. The method of claim 15 , comprising combining the threat object image with the first portion of the assessed scan data by superimposing the threat object image onto an image corresponding to the first portion of the assessed scan data.

22. The method of claim 21 , wherein the first portion of the assessed scan data combined with the threat object image corresponds to an image of contents without a threat.

23. The method of claim 15 , comprising determining a severity of a threat item based on the scan data.

24. The method of claim 15 , comprising receiving decision data from an operator workstation, wherein the decision data comprises a categorization of the threat item.

25. The method of claim 15 , comprising generating and transmitting a notification based on the decision data.

26. The method of claim 15 , comprising allocating each threat item to one of a number of threat categories and wherein each of the threat categories corresponds to a different level of threat.

27. The method of claim 15 , comprising allocating the hybrid scan data and the second portion of the assessed scan data to one or more operator workstations based on an overall threat level.

28. The method of claim 15 , comprising allocating the hybrid scan data and the second portion of the assessed scan data to one or more operator workstations based on a volume of traffic.

Assignments (2)

Priority Claims (1)

Continuity (5)

References Cited (400)