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：US20220237413A1

公开(公告)日：2022-07-28

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 ,  G06N20/00 ,  G06K7/00 ,  G06K7/10 ,  G06K7/14 ,  G06V20/52 ,  G06V40/10

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：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.

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

IPC: G06K9/62 ,  G06K9/00 ,  G06N20/00 ,  G06K7/10 ,  G06K7/14 ,  G06K7/00

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.