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公开(公告)号：US20240193994A1
公开(公告)日：2024-06-13
申请号：US18444418
申请日：2024-02-16
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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12.发明公开公开(公告)号：US20230281813A1
公开(公告)日：2023-09-07
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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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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公开(公告)号：US10607117B2
公开(公告)日：2020-03-31
申请号：US15579917
申请日：2016-06-03
Applicant: KEPLER VISION TECHNOLOGIES B.V.
Inventor： Jorn-Henrik Jacobsen , Johannes Christianus Van Gemert , Reinier Van Den Boomgaard , Zhongyu Lou , Arnoldus Wilhelmus Maria Smeulders
Abstract: The invention provides a method for recognition of information in digital image data, said method comprising a learning phase on a data set of example digital images having known information, and characteristics of categories are computed automatically from each example digital image and compared to its known category, said method comprises training a convolutional neural network comprising network parameters using said data set, in which via deep learning each layer of said convolutional neural network is represented by a linear decomposition of all filters as learned in each layer into basis functions.
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Patent Agency Ranking
公开(公告)号：US20240370777A1
公开(公告)日：2024-11-07
申请号：US18764726
申请日：2024-07-05
Applicant: KEPLER VISION TECHNOLOGIES B.V.
IPC: G06N20/00 , B25J9/16 , G06F18/21 , G06F18/214 , G06N3/08 , G06V10/25 , G06V20/00 , G06V20/52 , G06V20/54 , G06V20/56
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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17.发明申请公开(公告)号：US20210233234A1
公开(公告)日：2021-07-29
申请号：US16975015
申请日：2020-03-23
Applicant: Kepler Vision Technologies B.V.
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：US20210142112A1
公开(公告)日：2021-05-13
申请号：US17042063
申请日：2019-08-15
Applicant: KEPLER VISION TECHNOLOGIES B.V.
Abstract: The invention relates to a method for training a machine learning model to identify a subject having at least one machine readable identifier providing a subject ID, said method comprising: providing a computer vision system with an image capturing system comprising at least one image capturing device, and a reader system comprising at least one reader for reading said at least one machine readable identifier; defining said machine learning model in said computer vision system; capturing a first image using said image capturing system, said first image showing said subject; reading said subject ID using said reader system when capturing said first image, and linking said subject ID with said first image, said linking providing said first image with a linked subject ID, providing a first annotated image; capturing at least one further image showing said subject, linking said linked subject ID to said at least one further image providing at least one further annotated image, and subjecting said first annotated image and said at least one further annotated image to said machine learning model for training said machine learning model.
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公开(公告)号：US20210110922A1
公开(公告)日：2021-04-15
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.
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20.发明申请公开(公告)号：US20210097351A1
公开(公告)日：2021-04-01
申请号：US17042061
申请日：2019-03-25
Applicant: KEPLER VISION TECHNOLOGIES B.V.
Abstract: The invention provides an artificial intelligence (AI) system for categorizing events, said AI system comprising a first state and a second state, wherein: said AI system is in a first state for categorizing events in a first category type; upon categorizing of a first event in a predefined category of said first category type, said AI system is set to said second state, in said second state said AI system is set for categorizing subsequent events in a second category type.
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