Sensing cargo using an imaging device
AssigneeAsset Intelligence, LLC
InventorsJoseph E. Jesson, Rick Cobello, Andrew J. Calver
Life of this patent
Estimating the term…
Abstract
A camera is used to sense cargo in a cargo space. An image of at least a portion of a cargo space is captured using the camera, and a digital signal processor classifies the image as representing an empty cargo space or a non-empty cargo space. Additionally, a type of cargo represented by the captured image may also be classified by the digital signal processor and an indication of the type of cargo output.
Claims30
A method comprising:
- receiving a signal requesting an indication of whether cargo is present in a cargo space from a remote source;
- capturing, using a light sensor, an image of at least a portion of the cargo space;
- classifying, using a learning classifier located within the cargo space, the captured image to determine a type of content within the cargo space, wherein the type of content comprises making a determination of cargo capacity used and the manner of use;
- and
- outputting, to a location that is remote from the cargo space and based on the classifying, an indication of a presence and characteristics of cargo, an absence of cargo or a presence and characteristics of non-cargo items.
A system comprising:
- a module to receive a signal, from a remote source, requesting an indication of whether cargo is present in a cargo space;
- a camera to capture an image of at least a portion of the cargo space;
- and
- a digital signal processor, coupled to receive the image from the camera, to classify the image as representing an empty cargo space or a non-empty cargo space, including:
- a classification module located within the cargo space to extract characteristics from the image and determine, based on learned characteristics from training images, a type of content within the cargo space to provide an indication of an absence of cargo, a presence and characteristics of cargo or a presence and characteristics of non-cargo items, wherein classifying the type of content comprises making a determination of cargo capacity used and manner of use.
One or more computer readable media having computer readable instructions stored thereon that, when executed by a processor, causes the processor to:
- receive a signal, from a remote source, requesting an indication of whether cargo is present in a cargo space;
- access at least a portion of an image of at least a portion of the cargo space, wherein the image was generated by sensing light at a particular frequency range;
- classify, from within the cargo space, the captured image to determine a type of content within the cargo space, wherein classifying the type of content comprises making a determination of cargo capacity used and the manner of use;
- and
- output to a location remote from the cargo space, based on the classification, an indication of a presence and characteristics of cargo, an absence of cargo or a presence and characteristics of non-cargo items.
A method comprising:
- capturing, using a light sensor, an image of at least a portion of a cargo space;
- classifying from within the cargo space, based on one or more training images, a type of cargo represented by the captured image to determine a type of content within the cargo space, wherein the type of cargo comprises making a determination of cargo capacity used and the manner of use;
- and
- outputting, to a location remote from the cargo space and based on the classifying, an indication of a presence and characteristics of cargo, an absence of cargo or a presence and characteristics of non-cargo items.
A system comprising:
- a module to receive a signal, from a remote source, requesting an indication of whether cargo is present in a cargo space;
- a camera to capture an infrared (IR) or ultraviolet (UV) image of at least a portion of the cargo space;
- and
- a digital signal processor located within the cargo space implementing a learning classifier to classify the image to determine a presence and characteristics of cargo in the cargo space, an absence of cargo in the cargo space or a presence and characteristics of non-cargo items in the cargo space by classifying a type of content within the cargo space,
- wherein classifying the type of content comprises making a determination of cargo capacity used and the manner of use, and
- wherein the digital signal processor is coupled to receive the image from the camera.
Dependencies are inferred from the claim text.