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:
Apr. 14, 2020

Filed:

Oct. 29, 2019
Applicant:

Accel Robotics Corporation, San Diego, CA (US);

Inventors:

Marius Buibas, San Diego, CA (US);

John Quinn, San Diego, CA (US);

Tanuj Pankaj, San Diego, CA (US);

Chin-Chang Kuo, San Diego, CA (US);

Assignee:

ACCEL ROBOTICS CORPORATION, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/38 (2006.01); G06T 3/40 (2006.01); G06T 3/00 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/38 (2013.01); G06K 9/4661 (2013.01); G06T 3/0056 (2013.01); G06T 3/40 (2013.01);
Abstract

System that facilitates rapid onboarding of an autonomous (cashier-less) store by capturing images of items in the store's catalog from different angles, with varying backgrounds and lighting conditions, and that automatically builds a classifier training dataset from these images. The system may have cameras in different positions, lights supporting variable illumination, and monitor screens that generate different background colors. It may have an input device such as a barcode reader, and an operator terminal that prompts operators to place items into the imaging system in the necessary orientations. Once an item is placed in the imaging system, a fully automated process may generate a sequence of background colors, a sequence of lighting conditions, and may capture and process images from all of the cameras to create training images. Training images for an item may be generated in seconds, compared to many minutes per item using manual image capture and processing.


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