Baxter International Inc.

Baxter Healthcare Sa

Northwestern University

Neal Zupec

Aggelos K Katsaggelos

Georgios Andrea Bertos

Kirk Andrew Ashline

Armin Kappeler

William S Hurst

Frank Dudzik

William Hurst

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.

Visual inspection system for automated detection of particulate matter in flexible medical containers

An automated visual inspection system for detecting the presence of particulate matter includes an empty, flexible container, a light source, a detector, and an image processor. The light source is configured to transmit light through the container towards the detector, and the detector is configured to receive the light and generate image data. The image processor is configured to analyze the image data, determine whether the empty, flexible container is defective, and generate a rejection signal if the empty, flexible container is defective.

Automated visual inspection for visible particulate matter in empty flexible containers

Growing community of inventors

Spring Grove, IL, United States of America

Neal Zupec