Invention Grant
- Patent Title: Method and system for automatically annotating and identifying a living being or an object with an identifier providing a subject identification
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Application No.: US17042063Application Date: 2019-08-15
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Publication No.: US11308358B2Publication Date: 2022-04-19
- Inventor: Marc Jean Baptist Van Oldenborgh , Cornelis Gerardus Maria Snoek
- Applicant: KEPLER VISION TECHNOLOGIES B.V.
- Applicant Address: NL Amsterdam
- Assignee: KEPLER VISION TECHNOLOGIES B.V.
- Current Assignee: KEPLER VISION TECHNOLOGIES B.V.
- Current Assignee Address: NL Amsterdam
- Agency: AEON Law, PLLC
- Agent Adam L. K. Philipp; David V. H. Cohen
- Priority: NL2021481 20180817,NL2021498 20180824
- International Application: PCT/NL2019/050533 WO 20190815
- International Announcement: WO2020/036490 WO 20200220
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06K7/14 ; G06K7/00 ; G06N20/00 ; G06K7/10 ; 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.
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