公开(公告)号：US20220198356A1

公开(公告)日：2022-06-23

申请号：US17605208

申请日：2020-04-24

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian

IPC: G06Q10/06 ,  G06Q30/02 ,  G06N3/08 ,  G06T7/70 ,  G06V20/50 ,  G06V10/82 ,  G06T17/00

Abstract: A system for recognizing a plurality of assets in an environment, determining a distribution of the plurality of assets, computing a position adjacency constraint for the distribution of the plurality of assets and a rearrangement plan based on position adjacency constraints for the plurality of assets in the environment is provided. The system (i) determines a distribution of a plurality of assets and type of each of the plurality of assets within the media content, (ii) determines a brand and at least one object from the brand associated with each of the plurality of assets, (iii) determines at least one attribute of the at least one determined object associated with the brand, (iv) computes a position adjacency constraints for the distribution of the plurality of assets and (v) computes a rearrangement plan for the plurality of assets within the environment based on the computed position adjacency constraint and compliance rules.

公开(公告)号：US11966929B2

公开(公告)日：2024-04-23

申请号：US17428599

申请日：2020-01-20

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian

IPC: G06Q30/00 ,  G06Q30/018 ,  G06Q30/0204 ,  G06V20/62

CPC classification number: G06Q30/018 ,  G06Q30/0204 ,  G06V20/62

Abstract: A system for recognizing a plurality of assets in an environment, determining a brand associated with each of the plurality of assets using a deep neural networking model, and computing a brand visibility and a compliance metric for the brand is provided, The system (i) determines a location of a plurality of assets and type of each of the plurality of assets within the media content, (ii) determines a brand and at least one object from the brand associated with each of the plurality of assets, (iii) determines at least one attribute of the at least one determined object associated with the brand, (v) implements at least one compliance rule to the at least one attribute of the at least one object, (vi) automatically determines a brand visibility and a compliance metric for the brand within the environment based on attention sequence and heatmap corresponding to the media content.

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：US20240169735A1

公开(公告)日：2024-05-23

申请号：US18022482

申请日：2022-06-30

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale

IPC: G06V20/52 ,  G06V10/764 ,  G06V10/82 ,  G06V20/40 ,  G06V20/70 ,  G06V40/10 ,  G06V40/20

CPC classification number: G06V20/52 ,  G06V10/764 ,  G06V10/82 ,  G06V20/46 ,  G06V20/70 ,  G06V40/10 ,  G06V40/20

Abstract: A need for a system and method for preventing shrinkage in physical retail store environment using real-time camera feeds is fulfilled in the ongoing description by (a) configuring cameras in a retail store forming a distributed on-device-AI (DODA) model (b) sampling two-dimensional (2D) frames from cameras, (c) generating labels and location for at least one object identified using a first unsupervised deep neural network model (DNN), (d) visually classifying anatomical parts of the human body using a second unsupervised DNN, (e) enlarging and enhancing a product based on labels and location using a third unsupervised DNN, (f) generating an index of product associated with a person using a fourth unsupervised DNN by reidentifying objects from cameras, and (f) automatically classifying activity characterizing the movement of objects including a scan activity, an in-bag activity, a no scan activity, a mis-scan activity, and a theft activity to prevent shrinkage.

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.

公开(公告)号：US11699162B2

公开(公告)日：2023-07-11

申请号：US17417721

申请日：2019-12-04

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian

IPC: G06Q30/02 ,  G06T7/90 ,  G06T7/70 ,  G06V10/82 ,  G06T17/00 ,  G06V10/20 ,  G06V10/40 ,  G06V20/62 ,  G06F3/01 ,  G06Q30/0241 ,  G06T7/00 ,  G06T11/00 ,  G06V10/56

CPC classification number: G06Q30/02 ,  G06F3/013 ,  G06Q30/0276 ,  G06T7/0002 ,  G06T7/70 ,  G06T7/90 ,  G06T11/001 ,  G06T17/00 ,  G06V10/20 ,  G06V10/40 ,  G06V10/56 ,  G06V10/82 ,  G06V20/63 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/09

Abstract: The system for recognizing one or more objects of a design creative within an environment, analyzing the one or more objects using a deep neural networking model and generating a modified design creative by (i) determining a location of a design creative within the media content, (iii) determining an object from the design creative, (iv) determining an attribute of the object, (v) implementing a compliance rule to the attribute of the object to determine a distinctness and an effectiveness of a brand product, (vi) generating an attention sequence and heatmap for the media content, (vii) automatically generating a first recommendation based on the compliance rule, the attention heatmap, and the attention sequence, and (viii) automatically generating a modified design creative for the environment based on the attention heatmap, the attention sequence and the generated first recommendation using the deep neural networking model.

公开(公告)号：US20220292548A1

公开(公告)日：2022-09-15

申请号：US17417721

申请日：2019-12-04

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian

IPC: G06Q30/02 ,  G06V10/82 ,  G06T7/70 ,  G06V20/62 ,  G06F3/01 ,  G06T11/00 ,  G06T17/00 ,  G06T7/90 ,  G06T7/00

Abstract: The system for recognizing one or more objects of a design creative within an environment, analyzing the one or more objects using a deep neural networking model and generating a modified design creative by (i) determining a location of a design creative within the media content, (iii) determining an object from the design creative, (iv) determining an attribute of the object, (v) implementing a compliance rule to the attribute of the object to determine a distinctness and an effectiveness of a brand product, (vi) generating an attention sequence and heatmap for the media content, (vii) automatically generating a first recommendation based on the compliance rule, the attention heatmap, and the attention sequence, and (viii) automatically generating a modified design creative for the environment based on the attention heatmap, the attention sequence and the generated first recommendation using the deep neural networking model.

公开(公告)号：US20220129911A1

公开(公告)日：2022-04-28

申请号：US17428599

申请日：2020-01-20

Applicant: INFILECT TECHNOLOGIES PRIVATE LIMITED

Inventor： Vijay Gabale ,  Anand Prabhu Subramanian

IPC: G06Q30/00 ,  G06V20/62 ,  G06Q30/02

Abstract: A system for recognizing a plurality of assets in an environment, determining a brand associated with each of the plurality of assets using a deep neural networking model, and computing a brand visibility and a compliance metric for the brand is provided, The system (i) determines a location of a plurality of assets and type of each of the plurality of assets within the media content, (ii) determines a brand and at least one object from the brand associated with each of the plurality of assets, (iii) determines at least one attribute of the at least one determined object associated with the brand, (v) implements at least one compliance rule to the at least one attribute of the at least one object, (vi) automatically determines a brand visibility and a compliance metric for the brand within the environment based on attention sequence and heatmap corresponding to the media content.