Computer vision system and method for automatic checkout

US2020193507A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020193507-A1
Application numberUS-202016803229-A
CountryUS
Kind codeA1
Filing dateFeb 27, 2020
Priority dateMay 9, 2016
Publication dateJun 18, 2020
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system and method for computer vision driven applications in an environment that can include collecting image data across an environment; maintaining an environmental object graph from the image data whereby maintaining the environmental object graph is an iterative process that includes: classifying objects, tracking object locations, detecting interaction events, instantiating object associations in the environmental object graph, and updating the environmental object graph by propagating change in at least one object instance across object associations; and inspecting object state for at least one object instance in the environmental object graph and executing an action associated with the object state. The system and method can be applied to automatic checkout, inventory management, and/or other system integrations.

First claim

Opening claim text (preview).

We claim: 1 . A method for expediting a checkout process comprising: collecting image data across an environment; maintaining an environmental object graph from the image data wherein the environmental object graph is a data representation of computer vision classified objects in space and time across the environment, the environmental object graph comprising at least a subset of objects having probabilistic object associations; wherein maintaining the environmental object graph comprises at least one instance of: in a first region captured in the image data, classifying a first object and at least a shopper object, in the first region, detecting an interaction event between the first object and the shopper object, and updating the environmental object graph whereby the first object is probabilistically associated with the shopper object; inspecting objects that are probabilistically associated with the shopper object and thereby generating a checkout list.

Assignees

Inventors

Classifications

  • Checkout procedures · CPC title

  • graphically representing goods, e.g. 3D product representation · CPC title

  • Inventory monitoring · CPC title

  • H04N7/181Primary

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

  • replenishment orders; recurring orders · CPC title

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Frequently asked questions

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What does patent US2020193507A1 cover?
A system and method for computer vision driven applications in an environment that can include collecting image data across an environment; maintaining an environmental object graph from the image data whereby maintaining the environmental object graph is an iterative process that includes: classifying objects, tracking object locations, detecting interaction events, instantiating object associ…
Who is the assignee on this patent?
Grabango Co
What technology area does this patent fall under?
Primary CPC classification G06Q30/0643. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jun 18 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).