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:
Feb. 10, 2026

Filed:

Sep. 28, 2022
Applicant:

Jio Platforms Limited, Ahmedabad, IN;

Inventors:

Naveen Kumar Pandey, Pratapgarh, IN;

Balakrishna Pailla, Alto Porvarim, IN;

Shailesh Kumar, Hyderabad, IN;

Abhinav Anand, Bhopal, IN;

Suman Choudhary, Bengaluru, IN;

Divya Bhagwat, Mumbai, IN;

Hemant Kashniyal, Hyderabad, IN;

Assignee:

JIO PLATFORMS LIMITED, Ahmedabad, IN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/62 (2017.01); G06Q 20/18 (2012.01); G06Q 20/20 (2012.01); G06V 20/52 (2022.01); G06V 20/68 (2022.01); G06V 10/764 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06Q 20/208 (2013.01); G06Q 20/18 (2013.01); G06T 7/62 (2017.01); G06V 20/52 (2022.01); G06V 20/68 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30242 (2013.01); G06V 10/764 (2022.01); G06V 20/64 (2022.01); G06V 2201/09 (2022.01);
Abstract

This present disclosure proposes a system and method for providing a 3D computer vision-assisted frictionless self-checkout experience in a traditional retail store by using two RGB-D camera sensors and a conveyer belt. The disclosure provides a self-checkout counter () that enables a customer () to go through a self-service checkout process by simply placing the collected products one by one on a conveyer belt. One vertical and another horizontal RGB-D sensor () mounted in a housing frame attached towards the end of the conveyer belt capture RGB and depth image of each product passing through the housing and pass it to a product recognition engine (). The engine () identifies the unique product along with its volumetric attributes processing the RGB-D data that is further compared with a master product database and processed for invoicing. The customer wallet and payment may be integrated with the customer phone number at the self-checkout counter () for providing a completely automated checkout experience.


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