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Product design, configuration and decision system using machine learning

A machine learning and product technology, applied in machine learning, neural learning methods, design optimization/simulation, etc.

Pending Publication Date: 2021-11-09
SWATCHBOOK INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, while these decisions are used as a reference, and as such can aid as input for the next design cycle, there is currently no intelligent way to reuse past design decisions and be able to relate them to capturing them digitally or again in physical form. Effective combination of trend and sentiment data

Method used

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  • Product design, configuration and decision system using machine learning
  • Product design, configuration and decision system using machine learning
  • Product design, configuration and decision system using machine learning

Examples

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Embodiment Construction

[0034] Before describing the invention in detail, it is to be noted that the invention consists essentially in novel and non-obvious combinations of elements and process steps. Certain routine elements and steps have been shown in less detail in order not to obscure the present disclosure with details readily apparent to those skilled in the art, while the drawings and description describe in greater detail other elements and steps that are relevant to an understanding of the invention. step.

[0035] The following examples are not intended to define structural or methodological limitations of the present invention, but merely provide exemplary configurations. These examples are permissive rather than mandatory, and illustrative rather than exhaustive.

[0036] Below, refer to figure 1 , to describe the structure of the embodiment of the product configuration design system 100 in such a manner that the same reference numerals always refer to the same components; the above ma...

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PUM

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Abstract

A product configuration design system is disclosed and includes a product configuration design server, including a processor, a non-transitory memory, an input / output, a product storage, a configuration library, and a machine learner; and a product configuration design device, which enables a user to select a three-dimensional object representation, a collection, and an inspiration source, such that the product configuration design server generates a plurality of product configurations as an output from a machine learning calculation on a configuration generation model, which takes as input the three-dimensional object representation, the collection, and the inspiration source. Also disclosed is a method of selecting a three-dimensional object representation, a collection, and an inspirations source; and generating product configurations.

Description

[0001] Cross References to Related Applications [0002] This International Application Claims the Benefit of U.S. Non-Provisional Application No. 16 / 747,316, filed January 20, 2020; and Claims the Benefit of U.S. Provisional Application No. 62 / 797,073, Filed January 25, 2019; Both Applications Adopted References are incorporated herein in their entirety. technical field [0003] The present invention relates generally to the field of three-dimensional product design, and more particularly to a method and system for machine learning and artificial intelligence based product design using a set of selected colors and materials for creating materials and Color combinations, driven by input from stored collections of personal imagery and content, external social media, photo libraries, and other personal visual information containers. Background technique [0004] The use of different color and material combinations to create visual representations of 3D objects and various con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T19/20G06N20/00G06T19/00
CPCG06Q30/0621G06F30/27G06N3/084G06N3/126G06N20/10G06N3/045G06F30/10G06N3/08G06N3/04
Inventor 亚赞·W·马尔科什托马斯·特格
Owner SWATCHBOOK INC
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