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公开(公告)号：US11681950B2
公开(公告)日：2023-06-20
申请号：US17099474
申请日：2020-11-16
Applicant: Kepler Vision Technologies B.V.
IPC: G06N20/00 , G06N3/08 , G06V20/00 , G06V20/54 , G06F18/214 , G06F18/21 , G06V10/25 , G06V20/52 , G06V20/56 , B25J9/16
CPC classification number: G06N20/00 , G06F18/214 , G06F18/217 , G06N3/08 , G06V10/25 , G06V20/36 , G06V20/38 , G06V20/52 , G06V20/54 , G06V20/56 , B25J9/1697
Abstract: A method for identifying a scene, comprising a computing device receiving a plurality of data points corresponding to a scene; the computing device determining one or more subsets of data points from the plurality of data points that are indicative of at least one sub-scene in said scene, said at least one sub-scene displayed on a display device that is part of said scene, wherein said at least one sub-scene does not represent said scene; the computing device categorizing said scene, disregarding said at least one sub-scene, wherein the categorizing includes interpreting said scene by a computer vision system such that said at least one sub-scene is not taken into account in the categorizing of said scene.
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公开(公告)号：US20210073547A1
公开(公告)日：2021-03-11
申请号：US17099474
申请日：2020-11-16
Applicant: Kepler Vision Technologies B.V.
Abstract: A method for identifying a scene, comprising a computing device receiving a plurality of data points corresponding to a scene; the computing device determining one or more subsets of data points from the plurality of data points that are indicative of at least one sub-scene in said scene, said at least one sub-scene displayed on a display device that is part of said scene, wherein said at least one sub-scene does not represent said scene; the computing device categorizing said scene, disregarding said at least one sub-scene, wherein the categorizing includes interpreting said scene by a computer vision system such that said at least one sub-scene is not taken into account in the categorizing of said scene.
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3.发明授权公开(公告)号：US12073562B2
公开(公告)日：2024-08-27
申请号：US18315895
申请日：2023-05-11
Applicant: Kepler Vision Technologies B.V.
CPC classification number: G06T7/0012 , G16H10/60 , G16H30/20 , G16H30/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30196
Abstract: A device configured to transcribe an appearance of a human being, including a common housing holding an image capturing sensor, a computing device having a data processor, and a computer program product including a first machine learning model trained for detecting and labeling human beings, a second machine learning model trained for detecting appearances of human beings and a transcription module to transcribe the detected appearances of human beings to text.
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4.发明授权公开(公告)号：US11688062B2
公开(公告)日：2023-06-27
申请号：US16975015
申请日：2020-03-23
Applicant: Kepler Vision Technologies B.V.
CPC classification number: G06T7/0012 , G16H10/60 , G16H30/20 , G16H30/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30196
Abstract: There is provided a device configured to transcribe an appearance of a human being, said device comprising a common housing holding an image capturing sensor, a computing device comprising a data processor, and a computer program product comprising a first machine learning model trained for detecting and labeling human beings, a second machine learning model trained for detecting appearances of human beings and a transcription module to transcribe the detected appearances of human beings to text.
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公开(公告)号：US12079698B2
公开(公告)日：2024-09-03
申请号：US18314470
申请日：2023-05-09
Applicant: KEPLER VISION TECHNOLOGIES B.V.
IPC: G06N20/00 , G06F18/21 , G06F18/214 , G06N3/08 , G06V10/25 , G06V20/00 , G06V20/52 , G06V20/54 , G06V20/56 , B25J9/16
CPC classification number: G06N20/00 , G06F18/214 , G06F18/217 , G06N3/08 , G06V10/25 , G06V20/36 , G06V20/38 , G06V20/52 , G06V20/54 , G06V20/56 , B25J9/1697
Abstract: A method for identifying a scene, comprising a computing device receiving a plurality of data points corresponding to a scene; the computing device determining one or more subsets of data points from the plurality of data points that are indicative of at least one sub-scene in said scene, said at least one sub-scene displayed on a display device that is part of said scene, wherein said at least one sub-scene does not represent said scene; the computing device categorizing said scene, disregarding said at least one sub-scene, wherein the categorizing includes interpreting said scene by a computer vision system such that said at least one sub-scene is not taken into account in the categorizing of said scene.
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Patent Agency Ranking
公开(公告)号：US11443557B2
公开(公告)日：2022-09-13
申请号：US16956485
申请日：2019-05-24
Applicant: KEPLER VISION TECHNOLOGIES B.V.
Abstract: A body language system for determining a body language message of a living being in a context comprising an artificial intelligence system, said AI system running a computer program that: retrieves an image of said living being showing body language; labels said living being in said image, resulting in a labeled living being; determines said context from said image using a trained machine learning model; determines a baseline body language of said labeled living being from said image using a trained machine learning model; adapts a trained machine learning model of said AI system using said baseline body language and said context; applies the adapted trained machine learning model of said AI system to the one image for categorizing said body language resulting in a category, and applying said category for determining said body language message.
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公开(公告)号：US12039802B2
公开(公告)日：2024-07-16
申请号：US17190270
申请日：2021-03-02
Applicant: Kepler Vision Technologies B.V.
IPC: G06V40/20 , G06F18/21 , G06N20/00 , G06V20/40 , G06V20/52 , H04N23/611 , H04N23/667
CPC classification number: G06V40/20 , G06F18/217 , G06N20/00 , G06V20/41 , G06V20/52 , H04N23/611 , H04N23/667 , G06V20/44
Abstract: The invention provides a system configured to adjust a data rate of an image capturing device. The system comprises a computing device comprising a data processor, and a computer program product comprising a computer vision system for categorizing living beings having a pose that appear in a live video stream. The computer program product, when running on the data processor, receives a live video stream from the image capturing device at a first data rate, where the live video stream comprises a time slice with at least one frame comprising a living being having a pose; applies the computer vision system to the time slice for categorizing the living being, resulting in a category; and signals the image capturing device to set the live video stream at a second data rate, different from the first data rate and based upon the category.
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公开(公告)号：US11961330B2
公开(公告)日：2024-04-16
申请号：US17069207
申请日：2020-10-13
Applicant: Kepler Vision Technologies B.V.
Abstract: There is provided a system configured to trigger system configured to trigger a function, said system comprising:
at least one actuator that is associated with said function;
an image capturing sensor;
a computing device comprising a data processor, and
a computer program product comprising a machine learning model trained for detecting an intent of a person to operate said at least one actuator,
wherein said computer program product when running on said data processor:
receives at least one image from said image capturing sensor;
analyzes said at least one image, the analyzing comprises:
subjecting said at least one image to said machine learning model;
detecting presence of said intent to operate said at least one actuator in said at least one image, and
triggers said function upon detecting said intent.-
公开(公告)号：US11908245B2
公开(公告)日：2024-02-20
申请号：US17931268
申请日：2022-09-12
Applicant: KEPLER VISION TECHNOLOGIES B.V.
CPC classification number: G06V40/28 , G06N20/00 , G06T7/70 , G06T2207/10016 , G06T2207/20076 , G06T2207/30196 , G06V2201/07
Abstract: A body language system for determining a body language message of a living being in a context comprising an artificial intelligence system, said AI system running a computer program that: retrieves an image of said living being showing body language; labels said living being in said image, resulting in a labeled living being; determines said context from said image using a trained machine learning model; determines a baseline body language of said labeled living being from said image using a trained machine learning model; adapts a trained machine learning model of said AI system using said baseline body language and said context; applies the adapted trained machine learning model of said AI system to the one image for categorizing said body language resulting in a category, and applying said category for determining said body language message.
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公开(公告)号：US20230281514A1
公开(公告)日：2023-09-07
申请号：US18314470
申请日：2023-05-09
Applicant: KEPLER VISION TECHNOLOGIES B.V.
IPC: G06N20/00 , G06N3/08 , G06V20/00 , G06V20/54 , G06F18/214 , G06F18/21 , G06V10/25 , G06V20/52 , G06V20/56
CPC classification number: G06N20/00 , G06N3/08 , G06V20/36 , G06V20/38 , G06V20/54 , G06F18/214 , G06F18/217 , G06V10/25 , G06V20/52 , G06V20/56 , B25J9/1697
Abstract: A method for identifying a scene, comprising a computing device receiving a plurality of data points corresponding to a scene; the computing device determining one or more subsets of data points from the plurality of data points that are indicative of at least one sub-scene in said scene, said at least one sub-scene displayed on a display device that is part of said scene, wherein said at least one sub-scene does not represent said scene; the computing device categorizing said scene, disregarding said at least one sub-scene, wherein the categorizing includes interpreting said scene by a computer vision system such that said at least one sub-scene is not taken into account in the categorizing of said scene.
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