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:
May. 13, 2025

Filed:

Feb. 26, 2024
Applicant:

Maplebear Inc., San Francisco, CA (US);

Inventors:

Ganglu Wu, Shanghai, CN;

Shiyuan Yang, Shanghai, CN;

Xiao Zhou, Shanghai, CN;

Qi Wang, Shanghai, CN;

Qunwei Liu, Shanghai, CN;

Youming Luo, Shanghai, CN;

Assignee:

Maplebear Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 7/14 (2006.01); G06Q 20/20 (2012.01); G06Q 30/0601 (2023.01); G06T 3/40 (2006.01); G06T 9/00 (2006.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06K 7/1413 (2013.01); G06K 7/1443 (2013.01); G06Q 20/208 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0641 (2013.01); G06T 3/40 (2013.01); G06T 9/00 (2013.01); G06V 10/25 (2022.01); G06V 2201/07 (2022.01);
Abstract

An automated checkout system modifies received images of machine-readable labels to improve the performance of a label detection model that the system uses to decode item identifiers encoded in the machine-readable labels. For example, the automated checkout system may transform subregions of an image of a machine-readable label to adjust for distortions in the image's depiction of the machine-readable label. Similarly, the automated checkout system may identify readable regions within received images of machine-readable labels and apply a label detection model to those readable regions. By modifying received images of machine-readable labels, these techniques improve on existing computer-vision technologies by allowing for the effective decoding of machine-readable labels based on real-world images using relatively clean training data.


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