Cargo screening and tracking system and method

• US 20120059769A1
• Filed: 06/04/2010
• Published: 03/08/2012
• Est. Priority Date: 06/04/2009
• Status: Abandoned Application

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Carpenter, Michael D.
• Application Number:
  US12/802,392
• Publication Number:
  US 20120059769A1
• Time in Patent Office: Days
• US Class Current: 705/333
• CPC Class Codes: G01V 5/271 using a network, e.g. a remote expert, accessing remote data or the like
• CPC Class Codes: G06Q 10/0833 Tracking

Abstract

A method for screening and tracking items of cargo to be shipped aboard a vehicle includes steps of scanning the items to generate x-ray image data of the items; subjecting the image data to computer implemented image recognition to identify the items; presesenting images generated from the image data to a human operator trained in object recognition; reviewing the images with the human operator; recording the result of the human operator'"'"'s review, wherein the human operator is one of a number of such operators at one or more locations who have access to or receive image data for items to be shipped for each item determining if the results from the computer implemented and human review meet criteria for items that should not be shipped “exceptions”; loading items which are to be shipped into a shipping container.

Claims

1. A method for screening and tracking items of cargo to be shipped aboard a vehicle includes steps of:

scanning the items to generate x-ray image data of the items;

subjecting the image data to computer implemented image recognition to identify the items;

presenting images generated from the image data to a human operator trained in object recognition;

reviewing the images with the human operator;

for each item, determining if the results from the computer implemented and human review meet criteria for items that should not be shipped, that is, “

exceptions”

;

subjecting the image data to computer implemented image recognition to identify the items;

determining if the results from the computer implemented and human review meet criteria for items that should not be shipped;

recording the result of the human operator'"'"'s review, wherein the human operator is one of a number of such operators who have access to or receive image data for items to be shipped;

loading items which are to be shipped into a shipping container; and

loading the container on the vehicle.

2. The method of claim 1, wherein the vehicle is a plane.

3. The method of claim 1, wherein the vehicle is a ship.

4. The method of claim 2, further comprising recording the result of the human operator'"'"'s review in a database, wherein the human operator is one of a number of such operators at one or more locations who have access to or receive image data for items to be shipped.

5. The method of claim 1, wherein the scan is an x-ray scan;

providing a scannable code identifying each container; and

scanning the code and recording the code scan was made each time the container is opened prior to arrival at a destination.

6. A computerized security system for use in claim 5, comprising a database of image data of scan results associated with items in containers for shipment;

wherein the code is a bar code on the container;

assigning the container an identification code; and

if the image data review indicates that the container should not be shipped with its current contents, then preventing shipment of the container with its current contents, otherwise shipping the container according to original shipping instructions.

7. A method for screening and tracking items of cargo to be shipped aboard a vehicle includes steps of:

photographing each item in human-visible light to generate photographic image data of the item;

scanning the items with x-rays to generate x-ray image data of the items;

presenting images of each item generated from both the x-ray and the human-visible light photographic data to a human operator trained in object recognition;

reviewing the images with the human operator, which review includes review and comparison of x-ray; and

human-visible light photographic images of the items recording the result of the human operator'"'"'s review.

8. The method of claim 7, wherein the human operator is one of a number of such operators who have access to or receive image data for items to be shipped.