公开(公告)号：US20250139970A1

公开(公告)日：2025-05-01

申请号：US18835970

申请日：2023-02-04

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Marc Jean Baptist VAN OLDENBORGH ,  Fares ALNAJAR

IPC: G06V20/40 ,  G06V10/82 ,  G06V10/98 ,  G06V20/52

Abstract: The invention provides event detection method for detecting a detail event in a time sequence of images having a main frame rate, the method comprising: receiving a time slice of the time sequence of images; storing in a memory a first set of images from the time slice at a first frame rate which is equal to or lower than the main frame rate; providing a first inference engine comprising a first trained machine learning model which is trained for detecting a trigger event in an input comprising at least one image; providing a second inference engine comprising a second trained machine learning model which is trained for detecting the detail event in an input comprising at least one image; processing a second set of images from the time slice at a second frame rate which is lower than the first frame rate, by providing at least one image of the second set of images as input to the first inference engine for detecting the trigger event in the second set of images; upon detection of the trigger event in the second set of images, processing the first set of images from the memory by providing at least one image of the first set of images as input to the second inference engine for detecting the detail event.

公开(公告)号：US20240371001A1

公开(公告)日：2024-11-07

申请号：US18774388

申请日：2024-07-16

Applicant: Kepler Vision Technologies B.V.

Inventor： Marc Jean Baptist VAN OLDENBORGH ,  Henricus Meinardus Gerardus STOKMAN ,  Ran TAO

IPC: G06T7/00 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40

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.

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.

Inventor： Marc Jean Baptist Van Oldenborgh ,  Henricus Meinardus Gerardus Stokman ,  Ran Tao

IPC: G06T7/00 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40

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.

公开(公告)号：US20240212385A1

公开(公告)日：2024-06-27

申请号：US18601933

申请日：2024-03-11

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Marc Jean Baptist VAN OLDENBORGH ,  Cornelis Gerardus Maria SNOEK

IPC: G06V40/10 ,  G06F18/21 ,  G06F18/214 ,  G06K7/00 ,  G06K7/10 ,  G06K7/14 ,  G06N20/00 ,  G06V10/22 ,  G06V20/52

CPC classification number: G06V40/103 ,  G06F18/2148 ,  G06F18/217 ,  G06K7/0021 ,  G06K7/10366 ,  G06K7/10722 ,  G06K7/1413 ,  G06N20/00 ,  G06V10/225 ,  G06V20/52 ,  G06V20/53

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.

公开(公告)号：US11961320B2

公开(公告)日：2024-04-16

申请号：US17659574

申请日：2022-04-18

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Marc Jean Baptist Van Oldenborgh ,  Cornelis Gerardus Maria Snoek

IPC: G06K9/62 ,  G06F18/21 ,  G06F18/214 ,  G06K7/00 ,  G06K7/10 ,  G06K7/14 ,  G06K9/00 ,  G06N20/00 ,  G06V10/22 ,  G06V20/52 ,  G06V40/10

CPC classification number: G06V40/103 ,  G06F18/2148 ,  G06F18/217 ,  G06K7/0021 ,  G06K7/10366 ,  G06K7/10722 ,  G06K7/1413 ,  G06N20/00 ,  G06V10/225 ,  G06V20/52 ,  G06V20/53

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.

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.

Inventor： Marc Jean Baptist Van Oldenborgh ,  Henricus Meinardus Gerardus Stokman ,  Ran Tao

IPC: G06T7/00 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40

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.

公开(公告)号：US20210352207A1

公开(公告)日：2021-11-11

申请号：US17190270

申请日：2021-03-02

Applicant: Kepler Vision Technologies B.V.

Inventor： Marc Jean Baptist VAN OLDENBORGH ,  Cees SNOEK ,  Henricus Meinardus Gerardus STOKMAN

IPC: H04N5/232 ,  G06N20/00 ,  G06K9/00 ,  G06K9/62

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.

公开(公告)号：US20210097267A1

公开(公告)日：2021-04-01

申请号：US16956485

申请日：2019-05-24

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Henricus Meinardus Gerardus STOKMAN ,  Marc Jean Baptist VAN OLDENBORGH ,  Fares ALNAJAR

IPC: G06K9/00 ,  G06N20/00 ,  G06T7/70

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.