CARGO SENSING

• US 20140036072A1
• Filed: 06/20/2013
• Published: 02/06/2014
• Est. Priority Date: 06/20/2012
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Davalos, Pedro, Venkatesha, Sharath, Anderson, Donald, Wang, Ynjiun P., McCloskey, Scott, Lyall, Ronald, Hatherall, John, Howe, Steve
• Application Number:
  US13/923,259
• Publication Number:
  US 20140036072A1
• Time in Patent Office: Days
• US Class Current: 348/143
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

Cargo presence detection devices, systems, and methods are described herein. One cargo presence detection system includes one or more sensors positioned in an interior space of a container, and arranged to collect background image data about at least a portion of the interior space of the container and updated image data about the portion of the interior space of the container and a detection component that receives the image data from the one or more sensors and identifies if one or more cargo items are present in the interior space of the container based on analysis of the background and updated image data.

Claims

1. A cargo presence detection system, comprising:

one or more sensors positioned in an interior space of a container, and arranged to collect background image data about at least a portion of the interior space of the container and updated image data about the portion of the interior space of the container; and

a detection component that receives the image data from the one or more sensors and identifies if one or more cargo items are present in the interior space of the container based on analysis of the background and updated image data.

2. The cargo presence detection system of claim 1, wherein the detection component compares the background data and updated data to identify differences and then analyzes the differences to determine whether the differences represent one or more cargo items.

3. The cargo presence detection system of claim 1, wherein at least one of the one or more sensors is an active infra-red or near infra-red three dimensional sensor.

4. The cargo presence detection system of claim 1, wherein the image data provided by the one or more sensors includes at least one of:

depth information and three dimensional points.

5. The cargo presence detection system of claim 1, wherein at least one of the one or more sensors is movable within the interior of the container.

6. The cargo presence detection system of claim 5, wherein the system includes one or more markers that can be positioned within the container and used to identify if one or more cargo items are present within the container.

7. The cargo presence detection system of claim 1, wherein at least one of the markers is provided on a movable device.

8. A cargo presence detection system, comprising:

one or more vision based sensors positioned in an interior space of a container, and arranged to provide image data about at least a portion of the interior space of the container;

one or more markers positioned within the container that, when obscured in the image data, indicate the presence of one or more cargo items; and

a detection component that receives the image data from the one or more sensors and identifies if one or more cargo items are present in the interior space of the container based on analysis of the image data.

9. The cargo presence detection system of claim 8, wherein one or more of the markers is illuminated.

10. The cargo presence detection system of claim 8, wherein the system includes one or more light sources to illuminate the interior of the container.

11. The cargo presence detection system of claim 8, wherein the detection component analyzes the image data by comparing baseline image data with updated image data.

12. The cargo presence detection system of claim 8, wherein the detection component utilizes a feature detectors process selected from the group including:

speeded up robust feature (SURF), scale-invariant feature transform (SIFT), histogram of oriented gradients (HOG), GIST, maximally stable external regions (MSER), and extensions of a Harris comer detector.

13. The cargo presence detection system of claim 8, wherein detection component receives data from the one or more sensors and determines if any objects identified from the data exceed a pre-specified volume or size threshold.

14. A cargo presence detection system, comprising:

one or more sensors in an interior space of a container to provide image data about at least a portion of the interior space of the container, wherein the one or more sensors collect data regarding a first area of the interior space of the container and then move to collect data regarding a second area of the interior space of the container; and

a detection component that receives the image data from the one or more sensors and identifies if one or more cargo items are present in the interior space of the container based on analysis of the image data.

15. The cargo presence detection system of claim 14, wherein the one or more of the sensors are light curtains.

16. The cargo presence detection system of claim 14, wherein the detection component analyzes the image data by identifying edges within the image data and determining whether the edges identified represent a portion of one or more of the cargo items.

17. The cargo presence detection system of claim 14, wherein the image data can identify one or more dimensions of one or more of the cargo items.

18. The ergo presence detection system of claim 14, wherein the image data can identify a first image dimension of one or more of the cargo items and that dimension can be used to estimate one or more other dimensions of the cargo item.

19. The cargo presence detection system of claim 14, wherein the sensors can be positioned to ignore certain portions of the container.

20. The cargo presence detection system of claim 14, wherein the detection component analyzes the image data by subtracting background image data from a received image data set.