Security screening image content identification

Abstract

Embodiments include a system and method for displaying a graphical user interface (GUI) for registering a passenger's lost or mishandled baggage item. The system and method access a storage device holding security screening images (SSIs) of the passenger's baggage item via the GUI. The SSIs are accessible by unique identifiers. The system and method display the accessed SSIs on the display device via the GUI, representing the contents within the spatial volume of the baggage item. The system and method verify the unique identifier and at least one object of the contents to match the lost or mishandled baggage item with the passenger.

Claims

1. A method, including: Displaying a graphical user interface (GUI) for registering a passenger's lost or mishandled baggage item using at least one of the processors; At least one of the above-mentioned processors accesses a storage device via the GUI that stores security screening images (SSIs) of the passenger's baggage items, wherein the SSIs are accessible by a unique identifier; At least one of the above-mentioned processors displays the accessed SSI on a display device via the GUI as representing the contents within the spatial volume of the baggage item; and At least one of the above-mentioned processors verifies the unique identifier and at least one object of the content to match the lost or mishandled baggage item with the passenger. method.

2. In the method of claim 1, the unique identifier is the International Air Transport Association (IATA) license plate number; and, The above method further includes: At least one of the aforementioned processors verifies the IATA license plate number from a computer system associated with the airline carrier or in an electronic baggage information message stored in the storage device against the IATA license plate number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. method.

3. In the method of claim 1, the unique identifier is a passenger name record (PNR) number; and, The above method further includes: At least one of the aforementioned processors verifies the PNR number in an electronic baggage information message from a computer system associated with an airline carrier against the PNR number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. method.

4. In the method of claim 1, the unique identifier is a tracking device identifier; and, The above method further includes: Matching the tracking device identifier associated with the tracking device attached to the baggage item using at least one of the aforementioned processors; At least one of the aforementioned processors obtains the passenger name in the manifest that links the tracking device identifier to the passenger name; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. method.

5. The method of claim 4 further includes: At least one of the processors receives the location data of the baggage item from the tracking device. method.

6. In the method of claim 1, the SSI includes a three-dimensional representation of an object within the baggage item. method.

7. In the method of claim 1, the SSI includes tomographic image data of the contents within the baggage item, method.

8. The method of claim 1 further includes: To train an artificial intelligence learning model using at least one of at least one processors, using multiple security screening images captured by a security screening image device installed at an airport in a certain country; and, At least one of the aforementioned processors uses the artificial intelligence learning model to identify the content list from the SSI. Here, the object of the content is identified from the content list. method.

9. The method of claim 1 further includes: At least one of the above-mentioned processors is used to train an artificial intelligence learning model with a plurality of security screening images captured by security screening image devices installed at airports in multiple countries; and At least one of the aforementioned processors uses the artificial intelligence learning model to identify the content list from the SSI. Here, the object of the content is identified from the content list. method.

10. The method of claim 9 further includes: Before training the artificial intelligence learning model, at least one of the at least one processors filters the plurality of security screening images by a specified period. method.

11. At least one processor; and, A system comprising at least one non-temporary, tangible memory communicably connected to at least one processor, The memory stores at least one instruction, The at least one processor is configured to execute the at least one instruction and perform the following: To display a graphical user interface (GUI) for passengers to register lost or mishandled baggage items; Accessing a storage device via the GUI that stores security screening images (SSIs) of the passenger's baggage items, where the SSIs are accessible by a unique identifier; To display the accessed SSI on a display device via the GUI as representing the contents within the spatial volume of the baggage item; and, Verify the unique identifier and at least one object of the content to match the lost or mishandled baggage item with the passenger. system.

12. In the system of claim 11, the unique identifier is the International Air Transport Association (IATA) license plate number; and, The at least one processor is configured to execute the at least one instruction and perform the following: Matching the IATA license plate number from a computer system associated with the airline carrier, or in an electronic baggage information message stored in the storage device, with the IATA license plate number on the passenger receipt; To obtain the passenger's name; and, Confirm that the passenger name obtained matches the passenger name on the passenger's identification document. system.

13. In the system of claim 11, the unique identifier is a passenger name record (PNR) number; and, The at least one processor is configured to execute the at least one instruction and perform the following: Matching the PNR number in the electronic baggage information message from the computer system associated with the airline carrier with the PNR number on the passenger receipt; To obtain the passenger's name; and, Confirm that the passenger name obtained matches the passenger name on the passenger's identification document. system.

14. In the system of claim 11, the unique identifier is a tracking device identifier; and, The at least one processor is configured to execute the at least one instruction and perform the following: Matching the tracking device identifier associated with the tracking device attached to the baggage item; Obtaining the passenger name from the manifest that associates the aforementioned tracking device identifier with the passenger name; and, Confirm that the passenger name obtained matches the passenger name on the passenger's identification document. system.

15. In the system of claim 14, the at least one processor is configured to execute the at least one instruction to perform the following: Receiving location data of the baggage item from the tracking device, system.

16. In the system of claim 11, the SSI includes a three-dimensional representation of an object within the baggage item. system.

17. In the system of claim 11, the SSI includes tomographic image data of the contents within the baggage item, system.

18. In the system of claim 11, the at least one processor is configured to execute the at least one instruction to perform the following: Training an artificial intelligence learning model with multiple security screening images captured by a security screening image device installed at an airport in a certain country; and, Using the aforementioned artificial intelligence learning model, identify the content list from the SSI. Here, the object of the content is identified from the content list. system.

19. In the system of claim 11, the at least one processor is configured to execute the at least one instruction to perform the following: Multiple security screening images captured by security screening imaging devices installed at airports in multiple countries will be used to train an artificial intelligence learning model; and, To identify a content list from the SSI using the aforementioned artificial intelligence learning model, Here, the object of the content is identified from the content list. system.

20. In the system of claim 19, the at least one processor is configured to execute the at least one instruction before training the artificial intelligence learning model to perform the following: Filtering the aforementioned multiple security screening images by period, system.

21. A non-temporary computer-readable medium containing instructions that, when executed by at least one processor, causes the at least one processor to perform the following actions: At least one processor must display a graphical user interface (GUI) for registering lost or mishandled baggage items of passengers; At least one of the above-mentioned processors accesses a storage device via the GUI that stores security screening images (SSIs) of the passenger's baggage items, wherein the SSIs are accessible by a unique identifier; At least one of the above-mentioned processors displays the accessed SSI on a display device via the GUI as representing the contents within the spatial volume of the baggage item; and At least one of the above-mentioned processors verifies the unique identifier and at least one object of the content to match the lost or mishandled baggage item with the passenger. Computer-readable media.

22. In the non-temporary computer-readable medium of claim 21, the unique identifier is the International Air Transport Association (IATA) license plate number; and, The above method further includes: At least one of the aforementioned processors verifies the IATA license plate number from a computer system associated with the airline carrier or in an electronic baggage information message stored in the storage device against the IATA license plate number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. Computer-readable media.

23. In the non-temporary computer-readable medium of claim 21, the unique identifier is a passenger name record (PNR) number; and, The above method further includes: At least one of the aforementioned processors verifies the PNR number in an electronic baggage information message from a computer system associated with an airline carrier against the PNR number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. Computer-readable media.

24. In the non-temporary computer-readable medium of claim 21, the unique identifier is a tracking device identifier; and, The above method further includes: Matching the tracking device identifier associated with the tracking device attached to the baggage item using at least one of the aforementioned processors; At least one of the aforementioned processors obtains the passenger name in the manifest that links the tracking device identifier to the passenger name; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. Computer-readable media.

25. The non-temporary computer-readable medium of claim 24 further includes: At least one of the processors receives the location data of the baggage item from the tracking device. Computer-readable media.

26. In the non-temporary computer-readable medium of claim 21, the SSI includes a three-dimensional representation of an object within the baggage item. Computer-readable media.

27. In the non-temporary computer-readable medium of claim 21, the SSI includes tomographic image data of the contents within the baggage item, Computer-readable media.

28. The non-temporary computer-readable medium of claim 21 further includes: To train an artificial intelligence learning model using at least one of at least one processors, using multiple security screening images captured by a security screening image device installed at an airport in a certain country; and, At least one of the aforementioned processors uses the artificial intelligence learning model to identify the content list from the SSI. Here, the object of the content is identified from the content list. Computer-readable media.

29. The non-temporary computer-readable medium of claim 21 further includes: At least one of the above-mentioned processors is used to train an artificial intelligence learning model with a plurality of security screening images captured by security screening image devices installed at airports in multiple countries; and At least one of the aforementioned processors uses the artificial intelligence learning model to identify the content list from the SSI. Here, the object of the content is identified from the content list. Computer-readable media.

30. The non-temporary computer-readable medium of claim 29 further includes: Before training the artificial intelligence learning model, at least one of the at least one processors filters the plurality of security screening images by a specified period. Computer-readable media.

31. A method, including: Accessing a secure database containing stored security screening images and unique identifiers linked to baggage items by at least one of the processors; Estimating the passenger name from the unique identifier in the secure database and either the electronic baggage information message or the manifest using at least one of the aforementioned processors; At least one of the aforementioned processors converts the security screening image into the current content list using a trained artificial intelligence model; and At least one of the aforementioned processors forms an electronic passenger identification signature based on the current content list. method.

32. In the method of claim 31, the unique identifier is the International Air Transport Association (IATA) license plate number; and, The above method further includes: At least one of the aforementioned processors verifies the IATA license plate number from a computer system associated with the airline carrier or in an electronic baggage information message stored in the storage device against the IATA license plate number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. method.

33. In the method of claim 31, the unique identifier is a passenger name record (PNR) number; and, The above method further includes: At least one of the aforementioned processors verifies the PNR number in an electronic baggage information message from a computer system associated with an airline carrier against the PNR number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. method.

34. In the method of claim 31, the unique identifier is a tracking device identifier; and, The above method further includes: Matching the tracking device identifier associated with the tracking device attached to the baggage item using at least one of the aforementioned processors; At least one of the aforementioned processors obtains the passenger name in the manifest that links the tracking device identifier to the passenger name; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. method.

35. The method of claim 34 further includes: At least one of the processors receives stored camera or video image data of the appearance of the baggage item from the tracking device. Here, the electronic passenger identification signature is based on the current content list and the stored image data of the appearance of the baggage item, method.

36. The method of claim 35 further includes: At least one of the above-mentioned processors trains an artificial intelligence model on a plurality of stored security screening images captured by a security screening image device installed at the airport, thereby forming the trained artificial intelligence model, where the plurality of stored security screening images are associated with the passenger; and At least one of the aforementioned processors identifies the current content list from the SSI using the trained artificial intelligence model. method.

37. In the method of claim 31, the SSI includes a three-dimensional representation of an object within the baggage item. method.

38. In the method of claim 31, the SSI includes tomographic image data of the contents within the baggage item, method.

39. The method of claim 31 further includes: Capture image data of the appearance of the baggage item from the tracking device using a camera or video device; and, At least one of the above-mentioned processors stores the captured image data representing the appearance of the baggage item. method.

40. In the method of claim 39, the electronic passenger identification signature includes the current content list and the captured image data representing the appearance of the baggage item, method.

41. At least one processor; and, A system comprising at least one non-temporary, tangible memory communicably connected to at least one processor, The memory stores at least one instruction, The at least one processor is configured to execute the at least one instruction and perform the following: Accessing a secure database containing stored security screening images and unique identifiers linked to baggage items; Estimating the passenger's name from the unique identifier in the secure database and from either the electronic baggage information message or the manifest; Using a trained artificial intelligence model, convert the security screening image into the current content list; and, Based on the aforementioned current content list, an electronic passenger identification signature is formed. system.

42. In the system of claim 41, the unique identifier is the International Air Transport Association (IATA) license plate number; and, The at least one processor is configured to execute the at least one instruction and perform the following: Matching the IATA license plate number from a computer system associated with the airline carrier, or in an electronic baggage information message stored in the storage device, with the IATA license plate number on the passenger receipt; To obtain the passenger's name; and, Confirm that the passenger name obtained matches the passenger name on the passenger's identification document. system.

43. In the system of claim 41, the unique identifier is a passenger name record (PNR) number; and, The at least one processor is configured to execute the at least one instruction and perform the following: Matching the PNR number in the electronic baggage information message from the computer system associated with the airline carrier with the PNR number on the passenger receipt; To obtain the passenger's name; and, Confirm that the passenger name obtained matches the passenger name on the passenger's identification document. system.

44. In the system of claim 41, the unique identifier is a tracking device identifier; and, The at least one processor is configured to execute the at least one instruction and perform the following: Matching the tracking device identifier associated with the tracking device attached to the baggage item; Obtaining the passenger name from the manifest that associates the aforementioned tracking device identifier with the passenger name; and, Confirm that the passenger name obtained matches the passenger name on the passenger's identification document. system.

45. In the system of claim 44, the at least one processor is configured to execute the at least one instruction to perform the following: The tracking device receives stored camera or video image data of the appearance of the baggage item. Here, the electronic passenger identification signature is based on the current content list and the stored image data of the appearance of the baggage item, system.

46. In the system of claim 45, the at least one processor is configured to execute the at least one instruction to perform the following: The process involves training an artificial intelligence model with multiple stored security screening images captured by security screening image devices installed at the airport, thereby forming the trained artificial intelligence model, where the multiple stored security screening images are associated with the passenger; and, Using the aforementioned trained artificial intelligence model, identify the current content list from the SSI. system.

47. In the system of claim 41, the SSI includes a three-dimensional representation of an object within the baggage item. system.

48. In the system of claim 41, the SSI includes tomographic image data of the contents within the baggage item, system.

49. In the system of claim 41, the at least one processor is configured to execute the at least one instruction to perform the following: Capturing image data of the appearance of the baggage item from the tracking device; and, To save captured image data representing the appearance of the aforementioned baggage item, system.

50. In the system of claim 49, the electronic passenger identification signature includes the current content list and the captured image data representing the appearance of the baggage item, system.

51. A non-temporary computer-readable medium containing instructions that, when executed by at least one processor, causes the at least one processor to perform the following actions: Accessing a secure database containing stored security screening images and unique identifiers linked to baggage items by at least one of the processors; Estimating the passenger name from the unique identifier in the secure database and either the electronic baggage information message or the manifest using at least one of the aforementioned processors; At least one of the aforementioned processors converts the security screening image into the current content list using a trained artificial intelligence model; and At least one of the aforementioned processors forms an electronic passenger identification signature based on the current content list. Computer-readable media.

52. In the non-temporary computer-readable medium of claim 51, the unique identifier is the International Air Transport Association (IATA) license plate number; and, The above method further includes: At least one of the aforementioned processors verifies the IATA license plate number from a computer system associated with the airline carrier or in an electronic baggage information message stored in the storage device against the IATA license plate number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. Computer-readable media.

53. In the non-temporary computer-readable medium of claim 51, the unique identifier is a passenger name record (PNR) number; and, The above method further includes: At least one of the aforementioned processors verifies the PNR number in an electronic baggage information message from a computer system associated with an airline carrier against the PNR number on the passenger receipt; Obtaining the passenger name by at least one of the aforementioned processors; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. Computer-readable media.

54. In the non-temporary computer-readable medium of claim 51, the unique identifier is a tracking device identifier; and, The above method further includes: Matching the tracking device identifier associated with the tracking device attached to the baggage item using at least one of the aforementioned processors; At least one of the aforementioned processors obtains the passenger name in the manifest that links the tracking device identifier to the passenger name; and At least one of the aforementioned processors confirms that the acquired passenger name matches the passenger name on the passenger's identification document. Computer-readable media.

55. In the non-temporary computer-readable medium of claim 54, the method further includes: At least one of the processors receives stored camera or video image data of the appearance of the baggage item from the tracking device. Here, the electronic passenger identification signature is based on the current content list and the stored image data of the appearance of the baggage item, Computer-readable media.

56. In the non-temporary computer-readable medium of claim 55, the method further includes: At least one of the above-mentioned processors trains an artificial intelligence model on a plurality of stored security screening images captured by a security screening image device installed at the airport, thereby forming the trained artificial intelligence model, where the plurality of stored security screening images are associated with the passenger; and At least one of the aforementioned processors identifies the current content list from the SSI using the trained artificial intelligence model. Computer-readable media.

57. In the non-temporary computer-readable medium of claim 51, the SSI includes a three-dimensional representation of an object within the baggage item. Computer-readable media.

58. In the non-temporary computer-readable medium of claim 51, the SSI includes tomographic image data of the contents within the baggage item, Computer-readable media.

59. In the non-temporary computer-readable medium of claim 51, the method further includes: Capture image data of the appearance of the baggage item from the tracking device using a camera or video device; and, At least one of the above-mentioned processors stores the captured image data representing the appearance of the baggage item. Computer-readable media.

60. In the non-temporary computer-readable medium of claim 59, the electronic passenger identification signature includes the current content list and the captured image data representing the appearance of the baggage item, Computer-readable media.

61. A method, including: a) Obtaining the International Air Transport Association (IATA) license plate number of a passenger's checked baggage item by at least one of the processors; b) At least one of the at least one processor queries a database for a primary identifier (PID) associated with information associated with a security screening image (SSI) of the contents within the spatial volume of the checked baggage item or a content list (CL) derived from the SSI, based on the acquired IATA license plate number; c) At least one of the at least one processors depersonalizes the security screening image (SSI) file sharing data to include the PID and a hyperlink to the database or secondary shared memory location for accessing the SSI or CL; d) Assembling a communication package containing the SSI file sharing data using at least one of the above-mentioned processors, wherein the communication package does not contain the passenger's personal identification information; and, e) Transmitting the assembled communication package to an authorized computer workstation associated with a cross-border country using at least one of the at least one processors, method.

62. In the method of claim 61, the information associated with the content list includes a content list identifier indicating the location of the CL in a secure database. method.

63. In the method of claim 61, the PID is generated by any of the following: a baggage handling system that transports the baggage item to a security screening image device that captures the SSI in the country of departure; a radio frequency identification (RFID) device on the container transporting the baggage item; or the security screening image device. method.

64. The method of claim 63, a) when obtaining the IATA license plate number, further includes: At least one of the aforementioned processors receives a Type B message generated by a computer system associated with an airline carrier in the country of departure or the country of crossing the border. method.

65. The method of claim 61 further includes: a) when obtaining the IATA license plate number: At least one of the aforementioned processors receives a Type B message generated by a computer system associated with an airline carrier, wherein the Type B message is either a forwarded baggage source message or a terminated baggage source message. method.

66. The method of claim 61 further includes: a) when obtaining the IATA license plate number: Multiple B-type messages are received by at least one of the aforementioned at least one processor; At least one of the above-mentioned processors sorts the plurality of Type B messages based on an airport code, flight number, or baggage source indicator set to either forwarding or termination; Identifying all IATA license plate numbers associated with the flight number by at least one of the aforementioned processors; At least one of the aforementioned processors generates a list of all IATA license plate numbers associated with the flight number; and At least one of the aforementioned processors selects a corresponding IATA license plate number from the license plate number list and obtains the IATA license plate number. method.

67. The method of claim 66 further includes: For all IATA license plate numbers in the aforementioned list of license plate numbers, repeat steps a) through e): method.

68. In the method of claim 66, The baggage source indicator is set to a transfer indicator; and, The aforementioned list of license plate numbers includes the IATA license plate numbers of baggage items connecting to other flights; and, The above method further includes: Identifying the passenger associated with each IATA license plate number using at least one of the aforementioned processors; Obtaining the passenger's personal identification information associated with each IATA license plate number using at least one of the aforementioned processors; Assembling a communication package containing SSI file sharing data and the passenger's personal identification information using at least one of the aforementioned processors; and At least one of the aforementioned processors communicates the assembled communication package to a second approved computer workstation associated with the crossing country before the baggage item is loaded onto the connecting flight. method.

69. In the method of claim 61, obtaining the IATA license plate number includes: At least one of the above-mentioned processors receives a flight manifest generated by a computer system associated with an airline carrier landing at an airport in the cross-border country, wherein the flight manifest includes a list of passenger names associated with a flight number. method.

70. In the method of claim 69, obtaining the IATA license plate number includes: Multiple B-type messages are received by at least one of the aforementioned at least one processor; At least one of the above-mentioned processors sorts the plurality of Type B messages based on at least one of the following: airport code, flight number, passenger name from the list of passenger names, or baggage source indicator set to either forward or terminate; Identifying all IATA license plate numbers associated with the list of passenger names by at least one of the aforementioned processors; At least one of the above-mentioned processors generates a list of license plate numbers for all IATA license plate numbers associated with the list of passenger names; and At least one of the aforementioned processors selects a corresponding IATA license plate number from the license plate number list and obtains the IATA license plate number. method.

71. In the method of claim 61, c) depersonalizing the SSI file sharing data includes: At least one of the aforementioned processors embeds a hyperlink in the text of the PID, wherein the hyperlink provides access to the SSI in a database or secondary shared memory location. method.

72. In the method of claim 61, c) depersonalizing the SSI file sharing data further includes the SSI file name associated with the PID; and, The above method further includes: At least one of the aforementioned processors embeds a hyperlink in the text of the SSI file name that provides access to a database or secondary shared memory location. method.

73. In the method of claim 72, when the user interface selects the text associated with the hyperlink, the browser or application automatically navigates to the virtual machine or hypervisor and displays the SSI. method.

74. The method of claim 61 further includes: The PID is transmitted to the tracking device attached to the baggage item by at least one of the aforementioned processors; Linking the tracking device identifier to the PID by at least one of the aforementioned processors; and At least one of the aforementioned processors stores the tracking device identifier together with the PID in a secure database. method.

75. At least one processor; and, A system comprising at least one non-temporary, tangible memory communicably connected to at least one processor, The memory stores at least one instruction, The at least one processor is configured to execute the at least one instruction and perform the following: a) Obtaining an International Air Transport Association (IATA) license plate number for passengers' checked baggage items; b) Based on the acquired IATA license plate number, query a database for a primary identifier (PID) associated with information related to a security screening image (SSI) of the contents within the spatial volume of the checked baggage item or a content list (CL) derived from the SSI; c) Depersonalizing security screening image (SSI) file sharing data and including the PID and a hyperlink to the database or secondary shared memory location for accessing the SSI or CL; d) Assembling a communication package containing the SSI file sharing data, wherein the communication package does not contain the passenger's personal identification information; and, e) Transmitting the assembled communication package to an authorized computer workstation associated with a cross-border country, system.

76. In the system of claim 75, the information associated with the content list includes a content list identifier indicating the location of the CL in a secure database. system.

77. In the system of claim 75, the PID is generated by any of the following: a baggage handling system that transports the baggage item to a security screening image device that captures the SSI in the country of departure; a radio frequency identification (RFID) device on the container transporting the baggage item; or the security screening image device. system.

78. In the system of claim 77, the at least one processor is further configured to a) execute the at least one instruction when obtaining the IATA license plate number to perform the following: Receiving a Type B message generated by a computer system associated with an airline carrier in the country of departure or the country of crossing the border. system.

79. In the system of claim 75, the at least one processor is further configured to a) execute the at least one instruction when obtaining the IATA license plate number to perform the following: Receiving a Type B message generated by a computer system associated with an airline carrier, wherein the Type B message is either a forward baggage source message or a terminal baggage source message. system.

80. In the system of claim 75, the at least one processor is further configured to a) execute the at least one instruction when obtaining the IATA license plate number to perform the following: Receiving multiple Type B messages; Sort the multiple Type B messages based on an airport code, flight number, or baggage source indicator set to either forwarding or termination; Identify all IATA license plate numbers associated with the aforementioned flight number; To generate a list of all IATA license plate numbers associated with the aforementioned flight number; and, Select the corresponding IATA license plate number from the aforementioned license plate number list and obtain the aforementioned IATA license plate number. system.

81. In the system of claim 80, the at least one processor is further configured to execute the at least one instruction to perform the following: For all IATA license plate numbers in the aforementioned list of license plate numbers, repeat steps a) through e): system.

82. In the system of claim 80, The baggage source indicator is set to a transfer indicator; and, The aforementioned list of license plate numbers includes the IATA license plate numbers of baggage items connecting to other flights; and, The at least one processor is further configured to execute the at least one instruction and perform the following: Identifying the passenger associated with each IATA license plate number; To obtain the personal identification information of the passenger associated with each of the aforementioned IATA license plate numbers; Assembling a communication package containing SSI file sharing data and the passenger's personal identification information using at least one of the aforementioned processors; and At least one of the aforementioned processors communicates the assembled communication package to a second approved computer workstation associated with the crossing country before the baggage item is loaded onto the connecting flight. system.

83. In the system of claim 75, the at least one processor is further configured to execute the at least one instruction when obtaining the IATA license plate number: Receiving a flight manifest generated by a computer system associated with an airline carrier landing at an airport in the aforementioned cross-border country, wherein the flight manifest includes a list of passenger names associated with a flight number. system.

84. In the system of claim 83, the at least one processor is further configured to execute the at least one instruction when obtaining the IATA license plate number: Receiving multiple Type B messages; Sort the aforementioned multiple Type B messages based on at least one of the following: airport code, flight number, passenger name from the passenger name list, or baggage source indicator set to either forwarding or termination; Identify all IATA license plate numbers associated with the aforementioned list of passenger names; To generate a list of license plate numbers for all IATA license plate numbers associated with the aforementioned list of passenger names; and, Select the corresponding IATA license plate number from the aforementioned license plate number list to obtain the IATA license plate number. system.

85. In the system of claim 84, the at least one processor is further configured to execute the at least one instruction to perform the following: For all IATA license plate numbers in the aforementioned list of license plate numbers, repeat steps a) through e): system.

86. In the system of claim 75, the at least one processor is further configured to execute the at least one instruction when depersonalizing the SSI file sharing data: Embedding a hyperlink in the text of the PID, where the hyperlink provides access to the SSI in a database or secondary shared memory location. system.

87. In the system of claim 75, the at least one processor is further configured to execute the at least one instruction when depersonalizing the SSI file sharing data: Embedding hyperlinks within the text of an SSI file name that provide access to a database or secondary shared memory location. system.

88. In the system of claim 87, when the user selects the text associated with the hyperlink using the user interface, the browser or application automatically navigates to the virtual machine or hypervisor and displays the SSI. system.

89. In the system of claim 75, the at least one processor is further configured to execute the at least one instruction to perform the following: Transmitting the PID to a tracking device attached to the baggage item; Linking the racking device identifier to the PID; and, The tracking device identifier is stored in a secure database along with the PID. system.

90. A non-temporary computer-readable medium containing instructions that, when executed by at least one processor, causes the at least one processor to perform the following actions: a) Obtaining the International Air Transport Association (IATA) license plate number of a passenger's checked baggage item by at least one of the processors; b) At least one of the at least one processor queries a database for a primary identifier (PID) associated with information associated with a security screening image (SSI) of the contents within the spatial volume of the checked baggage item or a content list (CL) derived from the SSI, based on the acquired IATA license plate number; c) At least one of the at least one processors depersonalizes the security screening image (SSI) file sharing data to include the PID and a hyperlink to the database or secondary shared memory location for accessing the SSI or CL; d) Assembling a communication package containing the SSI file sharing data using at least one of the above-mentioned processors, wherein the communication package does not contain the passenger's personal identification information; and, e) Transmitting the assembled communication package to an authorized computer workstation associated with a cross-border country using at least one of the at least one processors, Computer-readable media.

91. In the non-temporary computer-readable medium of claim 90, the information associated with the content list includes a content list identifier indicating the location of the CL in a secure database. Computer-readable media.

92. In the non-temporary computer-readable medium of claim 90, the PID is generated by any of the following: a baggage handling system transporting the baggage item to a security screening image device that captures the SSI in the country of departure; a radio frequency identification (RFID) device on the container transporting the baggage item; or the security screening image device. Computer-readable media.

93. In the non-temporary computer-readable medium of claim 92, the method further includes a) obtaining the IATA license plate number: At least one of the aforementioned processors receives a Type B message generated by a computer system associated with an airline carrier in the country of departure or the country of crossing the border. Computer-readable media.

94. In the non-temporary computer-readable medium of claim 90, the method further includes a) obtaining the IATA license plate number: At least one of the aforementioned processors receives a Type B message generated by a computer system associated with an airline carrier, wherein the Type B message is either a forwarded baggage source message or a terminated baggage source message. Computer-readable media.

95. In the non-temporary computer-readable medium of claim 90, the method further includes a) obtaining the IATA license plate number: Multiple B-type messages are received by at least one of the aforementioned at least one processor; At least one of the above-mentioned processors sorts the plurality of Type B messages based on an airport code, flight number, or baggage source indicator set to either forwarding or termination; Identifying all IATA license plate numbers associated with the flight number by at least one of the aforementioned processors; At least one of the aforementioned processors generates a list of all IATA license plate numbers associated with the flight number; and At least one of the aforementioned processors selects a corresponding IATA license plate number from the license plate number list and obtains the IATA license plate number. Computer-readable media.

96. In the non-temporary computer-readable medium of claim 95, the method further includes: For all IATA license plate numbers in the aforementioned list of license plate numbers, repeat steps a) through e): Computer-readable media.

97. In the non-temporary computer-readable medium of claim 95, The baggage source indicator is set to a transfer indicator; and, The aforementioned list of license plate numbers includes the IATA license plate numbers of baggage items connecting to other flights; and, The above method further includes: Identifying the passenger associated with each IATA license plate number using at least one of the aforementioned processors; Obtaining the passenger's personal identification information associated with each IATA license plate number using at least one of the aforementioned processors; Assembling a communication package containing SSI file sharing data and the passenger's personal identification information using at least one of the aforementioned processors; and At least one of the aforementioned processors communicates the assembled communication package to a second approved computer workstation associated with the crossing country before the baggage item is loaded onto the connecting flight. Computer-readable media.

98. In the non-temporary computer-readable medium of claim 90, a) when obtaining the IATA license plate number, the method further includes: At least one of the above-mentioned processors receives a flight manifest generated by a computer system associated with an airline carrier landing at an airport in the cross-border country, wherein the flight manifest includes a list of passenger names associated with a flight number. Computer-readable media.

99. In the non-temporary computer-readable medium of claim 98, a) when obtaining the IATA license plate number, the method further includes: Multiple B-type messages are received by at least one of the aforementioned at least one processor; At least one of the above-mentioned processors sorts the plurality of Type B messages based on at least one of the following: airport code, flight number, passenger name from the list of passenger names, or baggage source indicator set to either forward or terminate; Identifying all IATA license plate numbers associated with the list of passenger names by at least one of the aforementioned processors; At least one of the above-mentioned processors generates a list of license plate numbers for all IATA license plate numbers associated with the list of passenger names; and At least one of the aforementioned processors selects a corresponding IATA license plate number from the license plate number list and obtains the IATA license plate number. Computer-readable media.

100. In the non-temporary computer-readable medium of claim 90, c) when depersonalizing the SSI file sharing data, the method further includes: At least one of the aforementioned processors embeds a hyperlink in the text of the PID, wherein the hyperlink provides access to the SSI in a database or secondary shared memory location. Computer-readable media.

101. In the non-temporary computer-readable medium of claim 90, c) depersonalizing the SSI file sharing data further includes an SSI file name associated with the PID; and, The above method further includes: At least one of the aforementioned processors embeds a hyperlink in the text of the SSI file name that provides access to a database or secondary shared memory location. Computer-readable media.

102. In the non-temporary computer-readable medium of claim 101, when the user interface selects the text associated with the hyperlink, the browser or application automatically navigates to a virtual machine or hypervisor and displays the SSI. Computer-readable media.

103. In the non-temporary computer-readable medium of claim 90, the method further includes: The PID is transmitted to the tracking device attached to the baggage item by at least one of the aforementioned processors; Linking the tracking device identifier to the PID by at least one of the aforementioned processors; and At least one of the aforementioned processors stores the tracking device identifier together with the PID in a secure database. Computer-readable media.

104. A method, including: a) At least one of the processors depersonalizes the security screening image (SSI) file sharing data to include a primary identifier (PID) and a hyperlink to a database or secondary shared memory location for accessing security screening images of the contents within the spatial volume of checked baggage items; b) Assembling a first communication package containing the SSI file sharing data using at least one of the above processors, wherein the communication package does not contain any personal identification information of passengers; c) Transmitting the assembled communication package to an authorized computer workstation associated with a cross-border country using at least one of the at least one processors, and sharing trusted security screening data with the first authority; d) At least one of the at least one processors identifies whether the checked baggage item will be transferred to a mobile carrier at the border point of the crossing country; e) Assembling a second communication package containing the SSI file sharing data and the passenger's personal identification information using at least one of the at least one processors; and, f) Transmitting the assembled second communication package to a second authorized computer workstation associated with the cross-border country using at least one of the at least one processors, to share the trusted security screening data with the second authority, method.

105. In the method of claim 104, the passenger's personal identification information includes a sequence of numbers representing the passenger's date of birth. method.

106. In the method of claim 104, the PID is generated by either a baggage handling system that transports the baggage item to a security screening image device that captures the SSI in the country of departure, or the security screening image device. method.

107. The method of claim 104 further includes: At least one of the aforementioned processors obtains the IATA license plate number from a Type B message generated by a computer system associated with an airline carrier, wherein the Type B message is either a forward baggage source message or a terminal baggage source message. method.

108. The method of claim 107 further includes: Multiple B-type messages are received by at least one of the aforementioned at least one processor; At least one of the above-mentioned processors sorts the plurality of Type B messages based on either an airport code, a flight number, or a baggage source indicator set to either forwarding or termination; Identifying all IATA license plate numbers associated with the flight number by at least one of the aforementioned processors; At least one of the aforementioned processors generates a list of all IATA license plate numbers associated with the flight number; At least one of the aforementioned processors selects a corresponding IATA license plate number from the list of license plate numbers to obtain the IATA license plate number; and At least one of the aforementioned processors queries the database to identify the PID associated with the acquired IATA license plate number. method.

109. The method of claim 108 further includes: For all IATA license plate numbers in the aforementioned list of license plate numbers, repeat steps a) through f). method.

110. The method of claim 104 further includes: At least one of the above-mentioned processors receives a flight manifest generated by a computer system associated with an airline carrier landing at an airport in the cross-border country, wherein the flight manifest includes a list of passenger names associated with a flight number. method.

111. The method of claim 110 further includes: Multiple B-type messages are received by at least one of the aforementioned at least one processor; At least one of the above-mentioned processors sorts the plurality of Type B messages based on at least one of the following: airport code, flight number, passenger name from a list of passenger names, or baggage source indicator set to either forwarding or termination; Identifying all IATA license plate numbers associated with the list of passenger names by at least one of the aforementioned processors; At least one of the aforementioned processors generates a list of license plate numbers for all IATA license plate numbers associated with the list of passenger names; At least one of the aforementioned processors selects each corresponding IATA license plate number from the license plate number list to obtain the IATA license plate number; and At least one of the aforementioned processors queries the database to identify the PID associated with the acquired IATA license plate number. method.

112. The method of claim 104 further includes: a) depersonalizing the SSI file sharing data: At least one of the aforementioned processors embeds a hyperlink within the text of the PID, wherein the hyperlink provides access to the SSI in the database or secondary shared memory location. method.

113. In the method of claim 104, depersonalizing the SSI file sharing data further includes the SSI file name associated with the PID; and, The above method further includes: At least one of the aforementioned processors embeds a hyperlink in the text of the SSI file name that provides access to the database or the secondary shared memory location. method.

114. In the method of claim 113, when the user interface selects the text associated with the hyperlink, the browser or application automatically navigates to the virtual machine or hypervisor to display the SSI. method.

115. At least one processor; and, A system comprising at least one non-temporary, tangible memory communicably connected to at least one processor, The memory stores at least one instruction, The at least one processor is configured to execute the at least one instruction and perform the following: a) At least one of the processors depersonalizes the security screening image (SSI) file sharing data to include a primary identifier (PID) and a hyperlink to a database or secondary shared memory location for accessing security screening images of the contents within the spatial volume of checked baggage items; b) Assembling a first communication package containing the SSI file sharing data using at least one of the above processors, wherein the communication package does not contain any personal identification information of passengers; c) Transmitting the assembled communication package to an authorized computer workstation associated with a cross-border country using at least one of the at least one processors, and sharing trusted security screening data with the first authority; d) At least one of the at least one processors identifies whether the checked baggage item will be transferred to a mobile carrier at the border point of the crossing country; e) Assembling a second communication package containing the SSI file sharing data and the passenger's personal identification information using at least one of the at least one processors; and, f) Transmitting the assembled second communication package to a second authorized computer workstation associated with the cross-border country using at least one of the at least one processors, to share the trusted security screening data with the second authority, system.

116. In the system of claim 115, the passenger's personal identification information includes a sequence of numbers representing the passenger's date of birth. system.

117. In the system of claim 115, the PID is generated by either a baggage handling system that transports the baggage item to a security screening image device that captures the SSI in the country of departure, or the security screening image device. system.

118. In the system of claim 115, the at least one processor is configured to execute the at least one instruction and further perform the following: Obtaining the IATA license plate number from a Type B message generated by a computer system associated with an airline carrier, where the Type B message is either a forward baggage source message or a terminal baggage source message. system.

119. In the system of claim 118, the at least one processor is configured to execute the at least one instruction and further perform the following: Receiving multiple Type B messages; Sort the aforementioned multiple Type B messages based on either an airport code, a flight number, or a baggage source indicator set to either forwarding or termination; Identify all IATA license plate numbers associated with the aforementioned flight number; To generate a list of all IATA license plate numbers associated with the aforementioned flight number; To obtain the IATA license plate number by selecting the corresponding IATA license plate number from the aforementioned list of license plate numbers; and, Query the database to identify the PID associated with the acquired IATA license plate number, system.

120. In the system of claim 119, the at least one processor is configured to execute the at least one instruction and further perform the following: For all IATA license plate numbers in the aforementioned list of license plate numbers, repeat steps a) through f). system.

121. In the system of claim 115, the at least one processor is configured to execute the at least one instruction and further perform the following: Receiving a flight manifest generated by a computer system associated with an airline carrier landing at an airport in the aforementioned cross-border country, wherein the flight manifest includes a list of passenger names associated with a flight number. system.

122. In the system of claim 121, the at least one processor is configured to execute the at least one instruction and further perform the following: Receiving multiple Type B messages; Sort the aforementioned multiple Type B messages based on at least one of the following: airport code, flight number, passenger name from a list of passenger names, or baggage source indicator set to either forwarding or termination; Identify all IATA license plate numbers associated with the aforementioned list of passenger names; To generate a list of license plate numbers for all IATA license plate numbers associated with the aforementioned list of passenger names; To obtain an IATA license plate number by selecting the corresponding IATA license plate number from the aforementioned license plate number list; and, Query the database to identify the PID associated with the acquired IATA license plate number, system.

123. In the system of claim 115, the at least one processor is configured to a) execute the at least one instruction when depersonalizing the SSI file sharing data, and further to: Embedding a hyperlink within the text of the PID, where the hyperlink provides access to the SSI in the database or secondary shared memory location. system.

124. In the system of claim 115, depersonalizing the SSI file sharing data further includes the SSI file name associated with the PID; and, The at least one processor is configured to execute the at least one instruction and further perform the following: At least one of the aforementioned processors embeds a hyperlink in the text of the SSI file name that provides access to the database or the secondary shared memory location. system.

125. In the system of claim 124, when the user interface selects the text associated with a hyperlink, the browser or application automatically navigates to a virtual machine or hypervisor to display the SSI. system.

126. A method, including: a) At least one of the processors depersonalizes the security screening image (SSI) file sharing data to include a primary identifier (PID) and a hyperlink to a database or secondary shared memory location for accessing security screening images of the contents within the spatial volume of checked baggage items; b) Assembling a first communication package containing the SSI file sharing data using at least one of the above processors, wherein the communication package does not contain any personal identification information of passengers; c) Transmitting the assembled communication package to an authorized computer workstation associated with a cross-border country via at least one of the at least one processors to share reliable security screening data with the first authority, method.

127. A method, including: Depersonalizing stored security screening images (SSIs) of contents within the spatial volume of passenger baggage items, captured by security screening imaging devices installed at airports, into a secure database using at least one of the processors; Using at least one of the aforementioned processors, an artificial intelligence model is trained on multiple unpersonalized SSIs to form a trained artificial intelligence model; The current SSI is received by at least one of the aforementioned processors; and At least one of the above-mentioned processors identifies the current content list within the current SSI using the trained artificial intelligence model. method.

128. The method of claim 127 further includes: Labeling the depersonalized SSI via a graphical user interface display using a browser, by at least one of the aforementioned processors, Here, the labeling includes labeling content objects within each depersonalized SSI, method.

129. The method of claim 128 further includes: At least one of the aforementioned processors acquires at least one filter control data input associated with the depersonalized SSI, Here, the at least one filter control data input includes the passenger's age, the passenger's gender, a timestamp, departure country information, and destination country information, Here, the labeling includes labeling each depersonalized SSI using the at least one filter control data input. method.

130. The method of claim 129 further includes: Obtaining a first unique identifier associated with each stored SSI by at least one of the aforementioned processors; At least one of the aforementioned processors obtains an electronic baggage information message associated with the passenger; and At least one of the aforementioned processors extracts data representing the at least one filter control data input from the electronic baggage information message. method.

131. The method of claim 129 further includes: Obtaining a first unique identifier associated with each stored SSI by at least one of the aforementioned processors; At least one of the aforementioned processors obtains an electronic baggage information message associated with the passenger; Extracting a second unique identifier associated with the passenger from the electronic baggage information message using at least one of the aforementioned processors; and At least one of the aforementioned processors obtains data representing the at least one filter control data input from the database using the second unique identifier. method.

132. In the method of claim 127, the at least one filter control data input is stored in a blockchain database. method.

133. In the method of claim 127, each depersonalized SSI is accessible from the blockchain database. method.

134. In the method of claim 127, each depersonalized SSI includes a three-dimensional representation of an object within the baggage item, method.

135. In the method of claim 127, each depersonalized SSI includes tomographic image data of the contents within the baggage item, method.

136. The method of claim 127 further includes: Before training the artificial intelligence model, at least one of the aforementioned processors filters the depersonalized SSI using at least one selected filter control data input. Here, the at least one filter control data input includes passenger age, passenger gender, period, holiday, departure country information, and destination country information. method.

137. At least one processor; and, A system comprising at least one non-temporary, tangible memory communicably connected to at least one processor, The memory stores at least one instruction, The at least one processor is configured to execute the at least one instruction and perform the following: Depersonalizing stored security screening images (SSIs) of the contents within the spatial volume of passenger baggage items, captured by security screening imaging devices installed at airports, and storing them in a secure database; The process of training an artificial intelligence model using multiple depersonalized SSIs to form a trained artificial intelligence model; Receiving the current SSI; and, Using the aforementioned trained artificial intelligence model, identify the current content list within the current SSI. system.

138. In the system of claim 137, the at least one processor is configured to execute the at least one instruction and further perform the following: Labeling the depersonalized SSI via a graphical user interface display using a browser, Here, the labeling includes labeling content objects within each depersonalized SSI, system.

139. In the system of claim 138, the at least one processor is configured to execute the at least one instruction and further perform the following: To obtain at least one filter control data input associated with the depersonalized SSI, Here, the at least one filter control data input includes the passenger's age, the passenger's gender, a timestamp, departure country information, and destination country information, Here, the labeling includes labeling each depersonalized SSI using the at least one filter control data input. system.

140. In the system according to claim 139, the at least one processor is configured to execute the at least one instruction and further perform the following: Obtain the first unique identifier associated with each stored SSI; To obtain the electronic baggage information message associated with the passenger; and, Extracting data representing at least one filter control data input from the aforementioned electronic baggage information message, system.

141. In the system of claim 139, the at least one processor is configured to execute the at least one instruction and further perform the following: Obtain the first unique identifier associated with each stored SSI; To obtain the electronic baggage information message associated with the aforementioned passenger; Extracting a second unique identifier associated with the passenger from the aforementioned electronic baggage information message; and, Using the second unique identifier, obtain data from the database representing the at least one filter control data input. system.

142. Claim 137, in the system, the at least one filter control data input is stored in a blockchain database. system.

143. In the system of claim 142, each depersonalized SSI is accessible from the blockchain database. system.

144. In the system of claim 137, each depersonalized SSI includes a three-dimensional representation of an object within the baggage item, system.

145. In the system of claim 137, each depersonalized SSI includes tomographic image data of the contents within the baggage item, system.

146. The system according to claim 137 further includes: Before training the artificial intelligence model, the depersonalized SSI is filtered using at least one selected filter control data input. Here, the at least one filter control data input includes passenger age, passenger gender, period, holiday, departure country information, and destination country information. system.

147. A non-temporary computer-readable medium containing instructions that, when executed by at least one processor, causes the at least one processor to perform the following actions: Depersonalizing stored security screening images (SSIs) of contents within the spatial volume of passenger baggage items, captured by security screening imaging devices installed at airports, into a secure database using at least one of the processors; Using at least one of the aforementioned processors, an artificial intelligence model is trained on multiple unpersonalized SSIs to form a trained artificial intelligence model; The current SSI is received by at least one of the aforementioned processors; and At least one of the above-mentioned processors identifies the current content list within the current SSI using the trained artificial intelligence model. Computer-readable media.

148. In the non-temporary computer-readable medium of claim 147, the method further includes: Labeling the depersonalized SSI via a graphical user interface display using a browser, by at least one of the aforementioned processors, Here, the labeling includes labeling content objects within each depersonalized SSI, Computer-readable media.

149. In the non-temporary computer-readable medium of claim 148, the method further includes: At least one of the aforementioned processors acquires at least one filter control data input associated with the depersonalized SSI, Here, the at least one filter control data input includes the passenger's age, the passenger's gender, a timestamp, departure country information, and destination country information, Here, the labeling includes labeling each depersonalized SSI using the at least one filter control data input. Computer-readable media.

150. In the non-temporary computer-readable medium of claim 149, the method further includes: Obtaining a first unique identifier associated with each stored SSI by at least one of the aforementioned processors; At least one of the aforementioned processors obtains an electronic baggage information message associated with the passenger; and At least one of the aforementioned processors extracts data representing the at least one filter control data input from the electronic baggage information message. Computer-readable media.

151. In the non-temporary computer-readable medium of claim 149, the method further includes: Obtaining a first unique identifier associated with each stored SSI by at least one of the aforementioned processors; At least one of the aforementioned processors obtains an electronic baggage information message associated with the passenger; Extracting a second unique identifier associated with the passenger from the electronic baggage information message using at least one of the aforementioned processors; and At least one of the aforementioned processors obtains data representing the at least one filter control data input from the database using the second unique identifier. Computer-readable media.

152. In the non-temporary computer-readable medium of claim 147, the at least one filter control data input is stored in a blockchain database. Computer-readable media.

153. In the non-temporary computer-readable medium of claim 152, each non-personalized SSI is accessible from a blockchain database. Computer-readable media.

154. In the non-temporary computer-readable medium of claim 147, each depersonalized SSI includes a three-dimensional representation of an object within the baggage item. Computer-readable media.

155. In the non-temporary computer-readable medium of claim 147, each depersonalized SSI includes tomographic image data of the contents within the baggage item, Computer-readable media.

156. A non-temporary computer-readable medium according to claim 147 further includes: Before training the artificial intelligence model, at least one of the aforementioned processors filters the depersonalized SSI using at least one selected filter control data input. Here, the at least one filter control data input includes passenger age, passenger gender, period, holiday, departure country information, and destination country information. Computer-readable media.

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