The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 17, 2024

Filed:

Dec. 23, 2020
Applicants:

Baxter International Inc., Deerfield, IL (US);

Baxter Healthcare SA, Glattpark, CH;

Northwestern University, Evanston, IL (US);

Inventors:

Armin Kappeler, Evanston, IL (US);

Aggelos K. Katsaggelos, Chicago, IL (US);

Georgios Andrea Bertos, Chicago, IL (US);

Kirk Andrew Ashline, Third Lake, IL (US);

Neal Anthony Zupec, Spring Grove, IL (US);

Assignees:

BAXTER INTERNATIONAL INC., Deerfield, IL (US);

BAXTER HEALTHCARE SA, Glattpark, CH;

NORTHWESTERN UNIVERSITY, Evanston, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G01N 15/1429 (2024.01); G01N 15/1433 (2024.01); G01N 15/1434 (2024.01); G06T 7/215 (2017.01); G01N 15/10 (2006.01); G01N 15/14 (2006.01); G01N 35/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G01N 15/1429 (2013.01); G01N 15/1433 (2024.01); G01N 15/1434 (2013.01); G06T 7/215 (2017.01); G01N 2015/1027 (2024.01); G01N 2015/1488 (2013.01); G01N 2015/1497 (2013.01); G01N 2035/009 (2013.01);
Abstract

Systems and methods for automated detection and classification of objects in a fluid of a receptacle such as, for example, a soft-sided receptacle such as a flexible container. The automated detection may include initiating movement of the receptacle to move objects in the fluid contained by the receptacle. Sequential frames of image data may be recorded and processed to identify moving objects in the image data. In turn, at least one motion parameter of the objects may be determined and utilized to classify the object into at least one of a predetermined plurality of object classes. For example, the object classes may at least include a predetermined class corresponding to bubbles and a predetermined class corresponding to particles.


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