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:
Nov. 08, 2022

Filed:

May. 30, 2019
Applicant:

Cryovac, Llc, Charlotte, NC (US);

Inventors:

Siddarth Sreeram, Charlotte, NC (US);

Kalpit Shailesh Mehta, Charlotte, NC (US);

Gregory E. McDonald, Simpsonville, SC (US);

James A. Mize, Simpsonville, SC (US);

Richard K. Watson, Fort Mill, SC (US);

Assignee:

Cryovac, LLC, Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06V 20/68 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G06K 9/6256 (2013.01); G06K 9/6269 (2013.01); G06N 3/04 (2013.01); G06T 2207/30128 (2013.01); G06V 20/68 (2022.01);
Abstract

Vacuum seal packages can be classified based on image data. Training image data is received that includes image data about first vacuum seal packages. Labels associated with the first vacuum seal packages are received, where each of the labels includes a state of one of the first vacuum seal packages. A trained classification model is developed based on the training image data and the received labels. Image data representative of a second vacuum seal package is received. The image data is inputted into the trained classification model, where the trained classification model is configured to classify a state of the second vacuum seal package based on the image data. The state of the second vacuum seal package is received from the trained classification model.


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