公开(公告)号：US20220358571A1

公开(公告)日：2022-11-10

申请号：US17623980

申请日：2020-07-05

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian ,  Vijaykumar Kannan

IPC: G06Q30/06 ,  G06Q20/20 ,  G06V10/82

Abstract: A system for extracting a product information of assets from the low resolution media contents taken in an environment 104 and updating a global product-master database 110 with the extracted product information is provided. An image capturing device 102 captures the media contents of assets. The product information extraction system 106 that (i) receives the media contents from the device 102, (ii) identifies the low resolution media contents based on size and dimensions of media contents, (iii) parses the low resolution media contents, using a system of cascading deep neural networks, to generate the product information at Stock Keeping Unit (SKU) level, (iv) transfers the product information obtained from the deep neural network system to the point of sale device 108 to update a local point-of-sale product-master, and (v) transmits the product information to the a global product-master server to update the global product-master database 110.

公开(公告)号：US11989772B2

公开(公告)日：2024-05-21

申请号：US17623980

申请日：2020-07-05

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian ,  Vijaykumar Kannan

IPC: G06Q30/0601 ,  G06Q20/20 ,  G06V10/44 ,  G06V10/82 ,  G06V20/52

CPC classification number: G06Q30/0643 ,  G06Q20/20 ,  G06V10/454 ,  G06V10/82 ,  G06V20/52

Abstract: A system for extracting a product information of assets from the low resolution media contents taken in an environment 104 and updating a global product-master database 110 with the extracted product information is provided. An image capturing device 102 captures the media contents of assets. The product information extraction system 106 that (i) receives the media contents from the device 102, (ii) identifies the low resolution media contents based on size and dimensions of media contents, (iii) parses the low resolution media contents, using a system of cascading deep neural networks, to generate the product information at Stock Keeping Unit (SKU) level, (iv) transfers the product information obtained from the deep neural network system to the point of sale device 108 to update a local point-of-sale product-master, and (v) transmits the product information to the a global product-master server to update the global product-master database 110.