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:
Jul. 23, 2024

Filed:

Nov. 10, 2021
Applicant:

Pensa Systems, Inc., Austin, TX (US);

Inventors:

Joel Iventosch, Austin, TX (US);

James E. Dutton, Spicewood, TX (US);

Sean D. Matthews, Brooklyn, NY (US);

Pinar Kaprali Gorsev, Istanbul, TR;

Richard Schwartz, West Lake Hills, TX (US);

Assignee:

Pensa Systems, Inc., Austin, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 3/02 (2006.01); G06N 5/02 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/087 (2023.01); G06T 7/73 (2017.01); G06T 11/20 (2006.01); G06T 11/60 (2006.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G06Q 10/06315 (2013.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 3/02 (2013.01); G06N 5/02 (2013.01); G06Q 10/087 (2013.01); G06T 7/73 (2017.01); G06T 11/20 (2013.01); G06T 11/60 (2013.01); G06V 10/25 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); G06V 20/176 (2022.01); G06T 2207/20084 (2013.01); G06T 2210/12 (2013.01);
Abstract

A system for managing consumer packaged goods (CPGs) is disclosed. The system includes a front end and a back end. The front end includes a mobile, airborne platform equipped with a digital image capturing device, and a wireless communications device. The backend is in communication with the front end via the wireless communications device, and includes a combinational convolutional neural network which derives models based on input data, a convolutional neural network which generates perception scoring utilizing input put from said combinational convolutional neural network, and a recurrent neural network which makes behavior predictions based on input from said convolutional neural network. The front end captures images of CPGs on a shelf, wherein the CPGs are subject to depletion over time, and wherein the backend generates predictions regarding the depletion state of the CPGs on the shelf as a function of time.


Find Patent Forward Citations

Loading…