Monitoring activity with depth and multi-spectral camera

US11245875B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11245875-B2
Application numberUS-201916248409-A
CountryUS
Kind codeB2
Filing dateJan 15, 2019
Priority dateJan 15, 2019
Publication dateFeb 8, 2022
Grant dateFeb 8, 2022

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A camera system is configured to automatically monitor an area. Depth image(s) of the area are acquired based on active IR light emitted by the camera system and reflected from the area to a sensor array of the camera system. The depth image(s) are computer analyzed to identify a human subject. For each spectral illuminator of the camera system, spectral light image(s) of the area are acquired based on active spectral light in the spectral light sub-band of the spectral illuminator reflected from the area to the sensor array. The spectral light image(s) for the spectral illuminators are computer analyzed to identify an interaction between the human subject and an object in the area. In response to identifying the interaction between the human subject and the object in the area, an action to be performed for the object in the area is computer issued.

First claim

Opening claim text (preview).

The invention claimed is: 1. A camera system configured to automatically monitor an area, the camera system comprising: a sensor array including a plurality of sensors; an infrared (IR) illuminator configured to emit active IR light in an IR light sub-band; a plurality of spectral illuminators, each spectral illuminator configured to emit active spectral light in a different spectral light sub-band; one or more logic machines; and one or more storage machines holding instructions executable by the one or more logic machines to: address the plurality of sensors of the sensor array without active illumination from the IR illuminator and without active illumination from the plurality of spectral illuminators to acquire one or more images of the area; computer analyze the one or more images to identify an above-threshold motion; in response to identifying the above-threshold motion: activate the IR illuminator to illuminate at least a first portion of the area with the active IR light, and address the plurality of sensors of the sensor array to acquire one or more depth images of the first portion of the area based on active IR light reflected from the first portion of the area, computer analyze the one or more depth images to identify a human subject; in response to identifying the human subject, for each spectral illuminator of the plurality of spectral illuminators: activate the spectral illuminator to illuminate a second portion of the area with the active spectral light in only a spectral light sub-band of the spectral illuminator, address the plurality of sensors of the sensor array to acquire one or more spectral light images of the second portion of the area based on active spectral light in the spectral light sub-band of the spectral illuminator reflected from the second portion of the area and without filtering light in other spectral sub-bands reflected from the second portion of the area to the plurality of sensors of the sensor array, computer analyze at least the one or more spectral light images to identify an interaction between the human subject and an object in the area, and in response to identifying the interaction between the human subject and the object, computer issue an action to be performed for the object in the area. 2. The camera system of claim 1 , wherein the one or more storage machines hold instructions executable by the one or more logic machines to: computer recognize that the human subject is a shopper, and wherein the action includes a retail action of computer associating the object in the area with the shopper. 3. The camera system of claim 1 , wherein the action includes a retail action of sending to a retail computer a notification to restock the object in the area. 4. The camera system of claim 1 , wherein the interaction includes the human subject picking up the object and then replacing the object in the area, and wherein the action includes a retail action of sending to a retail computer a notification to inspect the object. 5. The camera system of claim 1 , wherein the one or more storage machines hold instructions executable by the one or more logic machines to: computer analyze the one or more depth images and/or the one or more spectral light images to determine a volume of the object, and wherein the action includes a retail action of associating a cost with the object based on a weight of the object that is derived from the determined volume of the object. 6. The camera system of claim 1 , further comprising: a peripheral pressure sensor configured to generate a pressure signal that indicates whether or not the object is positioned on the peripheral pressure sensor; and wherein the interaction between the human subject and the object is further identified based on the pressure signal. 7. The camera system of claim 6 , wherein the action includes a retail action of associating a cost with the object based on a weight of the object that is derived from the pressure signal. 8. The camera system of claim 1 , wherein the one or more storage machines hold instructions executable by the one or more logic machines to: measure a spectral signature of the object based on the one or more spectral light images and the one or more depth images; and computer identify the object based on the measured spectral signature. 9. The camera system of claim 1 , wherein the sensor array, the IR illuminator, and the plurality of spectral illuminators are positioned above the area. 10. The camera system of claim 1 , wherein the sensor array, the IR illuminator, and the plurality of spectral illuminators are incorporated into a head-mounted device wearable by the human subject. 11. The camera system of claim 1 , wherein the sensor array, the IR illuminator, and the plurality of spectral illuminators are incorporated into a shopping cart or basket. 12. A method for automatically monitoring an area, the method comprising: addressing a plurality of sensors of a sensor array of a camera without active illumination from an IR illuminator of the camera and without active spectral illumination from a plurality of spectral illuminators of the camera to acquire one or more images of the area; computer analyzing the one or more images to identify an above-threshold motion; in response to identifying the above-threshold motion: activating the IR illuminator to illuminate at least a first portion of the retail shopping area with the active IR light, and addressing the plurality of sensors of the sensor array to acquire one or more depth images of the first portion of the area based on active IR light reflected from the first portion of the area, computer analyzing the one or more depth images to identify a human subject; in response to identifying the human subject, for each spectral illuminator of the plurality of spectral illuminators: activating the spectral illuminator to illuminate a second portion of the area with the active spectral light only in a spectral light sub-band of the spectral illuminator, addressing the plurality of sensors of the sensor array to acquire one or more spectral light images of the second portion of the area based on active spectral light in the spectral light sub-band of the spectral illuminator reflected from the second portion of the area and without filtering light in other spectral sub-bands reflected from the second portion of the area to the plurality of sensors of the sensor array, computer analyzing at least the one or more spectral light images to identify an interaction between the human subject and an object in the area, and in response to identifying the interaction between the human subject and the object, computer issuing an action to be performed for the object in the area. 13. The method of claim 12 , further comprising: computer recognizing that the human subject is a shopper, and wherein the action includes a retail action of computer associating the object in the area with the shopper. 14. The method of claim 12 , wherein the action includes a retail action of sending to a retail computer a notification to restock the object for purchase. 15. The method of claim 12 , wherein the interaction includes the human subject picking up the object and then replacing the object in the area, and wherein the action includes a retail action of sending to a retail computer a notification to inspect the object. 16. The method of claim 12 , further comprising: computer analyzing the one or more depth images and/or the one or more spectral light images to determine a volume of the object, and wherein the action inclu

Assignees

Inventors

Classifications

  • Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

  • G06V20/20Primary

    in augmented reality scenes · CPC title

  • G06V10/143Primary

    Sensing or illuminating at different wavelengths · CPC title

  • H04N7/181Primary

    for receiving images from a plurality of remote sources · CPC title

  • Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums · CPC title

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What does patent US11245875B2 cover?
A camera system is configured to automatically monitor an area. Depth image(s) of the area are acquired based on active IR light emitted by the camera system and reflected from the area to a sensor array of the camera system. The depth image(s) are computer analyzed to identify a human subject. For each spectral illuminator of the camera system, spectral light image(s) of the area are acquired …
Who is the assignee on this patent?
Microsoft Technology Licensing Llc
What technology area does this patent fall under?
Primary CPC classification G06V20/20. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 08 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).