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. 15, 2022

Filed:

Mar. 06, 2020
Applicant:

Shanghai Cloudpick Smart Technology Co., Ltd., Shanghai, CN;

Inventors:

Tingtao Li, Shanghai, CN;

Linan Feng, Shanghai, CN;

Ding Xia, Shanghai, CN;

Jieyu Ma, Shanghai, CN;

Wenyao Wu, Shanghai, CN;

Yimei Zhang, Shanghai, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/04 (2006.01); H04W 4/35 (2018.01); G06V 10/75 (2022.01); G06Q 10/08 (2012.01); G06Q 30/06 (2012.01); A47F 5/00 (2006.01); G01G 19/52 (2006.01); G06Q 20/20 (2012.01); G06V 10/20 (2022.01); G06V 20/52 (2022.01);
U.S. Cl.
CPC ...
G06V 10/757 (2022.01); A47F 5/0025 (2013.01); G01G 19/52 (2013.01); G06N 3/04 (2013.01); G06Q 10/087 (2013.01); G06Q 20/206 (2013.01); G06Q 20/208 (2013.01); G06Q 30/0639 (2013.01); G06V 10/255 (2022.01); H04W 4/35 (2018.02); G06V 20/52 (2022.01);
Abstract

A goods sensing system includes: a sample collector that collects a plurality of sets of image samples, where each set of the image samples comprise sample images of a type of goods at multiple angles, where a set of the image samples of a same type of goods are provided with a same group identification, and the group identification is the type of the goods corresponding to the set of image samples; a model trainer that trains a convolutional neural network model according to each sample image and a group identification of the sample image to obtain a goods identification model; a real-time image collector that continuously acquires at least one real-time image of space in front of a shelf, each real-time image including part or all of images of goods; and a goods category deriver that obtains a type and quantity of the goods displayed in the real-time.


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