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. 19, 2022

Filed:

Jul. 25, 2019
Applicant:

Walmart Apollo, Llc, Bentonville, AR (US);

Inventors:

Issac Mathew, Bangalore, IN;

Pushkar Pushp, Bangalore, IN;

Viraj Patel, Bangalore, IN;

Emily Xavier, Bangalore, IN;

Gaurav Savlani, Bangalore, IN;

Venkataraja Nellore, Bangalore, IN;

Rahul Agarwal, Bangalore, IN;

Girish Thiruvenkadam, Bangalore, IN;

Shivani Naik, Bangalore, IN;

Assignee:

Walmart Apollo, LLC, Bentonville, AR (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06N 20/20 (2019.01); G06N 3/04 (2006.01); G06V 20/68 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G06K 9/6267 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30128 (2013.01); G06V 20/68 (2022.01);
Abstract

Systems, methods, and computer-readable storage media for object detection and classification, and particularly produce detection and classification. A system configured according to this disclosure can receiving, at a processor, an image of an item. The system can then perform, across multiple pre-trained neural networks, feature detection on the image, resulting in feature maps of the image. These feature maps can be concatenated and combined, then input into an additional neural network for feature detection on the combined feature map, resulting in tiered neural network features. The system then classifies, via the processor, the item based on the tiered neural network features.


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