X-ray inspection system that integrates manifest data with imaging/detection processing

• US 10,422,919 B2
• Filed: 03/10/2017
• Issued: 09/24/2019
• Est. Priority Date: 09/07/2011
• Status: Active Grant

• Current Assignee: Rapiscan Systems Incorporated (OSI Systems Incorporated)
• Original Assignee: Rapiscan Systems Incorporated (OSI Systems Incorporated)
• Inventors: Parikh, Shehul Sailesh, Sankaranarayanan, Balamurugan, Abel, Jeffrey Bryan, Kumar, Siva, Bendahan, Joseph
• Primary Examiner(s): Harandi, Siamak
• Application Number:
  US15/455,436
• Publication Number:
  US 20170299765A1
• Time in Patent Office: 928 Days
• CPC Class Codes: G01V 5/22 Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays
• CPC Class Codes: G01V 5/271 using a network, e.g. a remote expert, accessing remote data or the like
• CPC Class Codes: G06Q 10/0838 Historical data
• CPC Class Codes: G06T 2207/10116 X-ray image
• CPC Class Codes: G06T 2207/30248 Vehicle exterior or interior
• CPC Class Codes: G06T 7/0004 Industrial image inspection
• CPC Class Codes: G06T 7/001 using an image reference approach
• CPC Class Codes: G08B 13/194 using image scanning and comparing systems

Abstract

The present specification discloses systems and methods for integrating manifest data for cargo and light vehicles with their X-ray images generated during scanning Manifest data is automatically imported into the system for each shipment, and helps the security personnel to quickly determine the contents of cargo. In case of a mismatch between cargo contents shown by manifest data and the X-ray images, the cargo may be withheld for further inspection. In one embodiment, the process of analyzing the X-ray image of the cargo in conjunction with the manifest data is automated.

Claims

1. A system for scanning cargo, the system comprising:

at least one non-intrusive X-ray inspection system configured to perform a non-intrusive X-ray scan and generate X-ray scan images of the cargo, said at least one non-intrusive X-ray inspection system further comprising an application configured to import manifest data associated with the cargo being scanned; and

at least one server configured to receive the X-ray scan images and associated manifest data from the at least one non-intrusive X-ray inspection system, obtain cargo code information from manifest data, retrieve stored images associated with the cargo code from an image database, determine a probability that the X-ray scan images of the contents of the cargo are of a same type as specified in the manifest data by comparing features of the scan images to features of the stored images, compare the probability against a threshold value, and, based on the comparison, generate an alarm.

2. The system of claim 1, wherein the threshold value may be manually set based on an acceptable false alarm rate.

3. The system of claim 1, wherein each X-ray scan image is associated with a unique identifier before transmission to the at least one server.

4. The system of claim 1 wherein the at least one server is located at a regional center remote from the at least one non-intrusive X-ray inspection system.

5. The system of claim 4, further comprising a database located at the regional center, wherein the X-ray scan images, their associated unique identifiers and manifest data, and results of analyses at the regional center are stored in the database.

6. A method for inspecting cargo, comprising:

scanning the cargo at a service post, wherein the service post comprises;

at least one non-intrusive X-ray inspection system configured to perform a non-intrusive X-ray scan and generate X-ray scan images, wherein the at least one non-intrusive X-ray inspection system further comprises an application for importing manifest data associated with the cargo being scanned; and

a server configured to receive X-ray scan images and associated manifest data from the at least one non-intrusive X-ray inspection system;

using the application, importing manifest data associated with the cargo being scanned;

transmitting the X-ray scan images and associated manifest data to a regional center remote from the service post;

at the regional center, obtaining cargo code information from the manifest data;

at the regional center, retrieving stored images associated with the cargo code information from an image database;

at the regional center, comparing features of the X-ray scan images to features of the stored images to determine a probability that the contents of the cargo match the manifest data;

at the regional center, comparing the probability against a threshold value; and

at the regional center, generating an alarm based on the comparison of the probability against the threshold value.

7. The method of claim 6, wherein the regional center generates an output based on the comparison and communicates the output to the service post.

8. The method of claim 6, wherein each of the X-ray scan images is associated with a unique identifier before transmission from the service post to a regional center.

9. The method of claim 8, wherein the X-ray scan images, their associated unique identifiers and manifest data, and output are stored in a database.

10. The method of claim 6 further comprising computing features of the contents of the cargo from the X-ray scan images, wherein said features include at least one attenuation, texture, cargo height, density or atomic number.

11. The method of claim 6, wherein the cargo code information is indicative of a type of cargo.

12. The method of claim 11 further comprising segregating the X-ray scan images according to cargo types if the cargo is associated with more than one cargo code.

13. The method of claim 12, wherein each segregated part of the X-ray scan images is compared to the stored images associated with each of the more than one cargo code.

14. The method of claim 13, wherein comparing the X-ray scan images to the stored images is performed automatically.