公开(公告)号：US20250139689A1

公开(公告)日：2025-05-01

申请号：US18722384

申请日：2022-12-26

Applicant: JIO PLATFORMS LIMITED

Inventor： Naveen Kumar PANDEY ,  Balakrishna PAILLA ,  Shailesh KUMAR ,  Abhinav ANAND ,  Dhruval RANA ,  Ritesh KUMAR ,  JayaSaiKiran PATIBANDLA

IPC: G06Q30/0601 ,  G06T7/60 ,  G06T15/04 ,  G06T15/50 ,  G06T17/20

Abstract: The present disclosure provides a robust and effective solution to an entity or an organization by enabling the entity to implement a system for 3D vision, and synthetic data generation of a retail product model. Further, the present disclosure aims at generating high-quality, photorealistic, large-scale domain-specific synthetic data. The system is equipped with synthetic simulation, digital twin creation, and synthetic data generation with automated annotations. Additionally, the system allows the training of artificial intelligence to reduce manual efforts and to facilitate the automation and personalization.

公开(公告)号：US20240354731A1

公开(公告)日：2024-10-24

申请号：US18028552

申请日：2022-09-28

Applicant: JIO PLATFORMS LIMITED

Inventor： Naveen Kumar PANDEY ,  Balakrishna PAILLA ,  Shailesh KUMAR ,  Abhinav ANAND ,  Suman CHOUDHARY ,  Divya BHAGWAT ,  Hemant KASHNIYAL

IPC: G06Q20/20 ,  G06Q20/18 ,  G06T7/62 ,  G06V10/764 ,  G06V20/52 ,  G06V20/64 ,  G06V20/68

CPC classification number: G06Q20/208 ,  G06Q20/18 ,  G06T7/62 ,  G06V20/52 ,  G06V20/68 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20084 ,  G06T2207/20212 ,  G06T2207/30232 ,  G06T2207/30242 ,  G06V10/764 ,  G06V20/64 ,  G06V2201/09

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 (106) that enables a customer (102) 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 (108) 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 (216). The engine (216) 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 (106) for providing a completely automated checkout experience.