AI-Generated Digital Assistant Figures for Vehicle Infotainment

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Solution Overview

Problem

Existing vehicle infotainment systems rely on limited databases for changing the figure of digital assistants, often failing to find perfectly matched clothing or maintaining user interest.

Innovation Solution

An apparatus and method using image analysis and AI-driven generative models to dynamically change the figure of a digital assistant based on real-time environmental and passenger features, independent of pre-existing databases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If clothing is selected from a pre-established database, then the figure changing process is simple and fast, but the matching quality and user interest are limited due to database constraints

Engineering Contradiction:
Improveclothing matching qualityVSAvoidfigure changing system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent replaces the traditional mechanical database selection system with an AI-based generative system. Instead of manually selecting from pre-defined clothing items in a database, the system uses generative AI to automatically create customized clothing that matches the user's figure characteristics, thereby improving matching quality without being constrained by database limitations

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically generating customized clothing designs based on user input and figure data. The generative AI model autonomously creates matching clothing without requiring manual curation or selection from a database, allowing the system to serve itself in generating infinite unique clothing options

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If more clothing samples are added to the database to improve matching quality, then the selection range increases, but the system complexity and storage requirements increase

Engineering Contradiction:
Improveclothing style varietyVSAvoiddatabase storage requirements
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent transitions from a two-dimensional database storage model to a generative dimension. Instead of storing vast quantities of pre-defined clothing samples, the system uses a generative AI model that can create unlimited unique clothing designs on-demand, effectively moving from finite storage to infinite generation capability

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system changes the fundamental parameter of clothing availability from a fixed database of discrete items to a continuous generative process. By adjusting input parameters such as user preferences, figure characteristics, and style constraints, the system can generate infinitely varied clothing designs without increasing storage requirements

Inventive Principle:
Principle #35Parameter changes

3Productivity

If manual selection and matching is used, then the system is easy to operate, but the time required to find perfect matches increases

Engineering Contradiction:
Improvefigure changing speedVSAvoidsystem operation simplicity
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent introduces an AI-based intermediary system that acts as a mediator between user input and clothing output. This intermediary automatically processes figure data, understands style preferences, and generates matching clothing designs, eliminating the need for manual searching and selection while maintaining operational simplicity through natural language or intuitive interface inputs

Inventive Principle:
Principle #24Intermediary (Mediator)

4Manufacturing precision

If AI-generated clothing is used, then unique and attractive designs are achieved, but the computational resources and processing time increase

Engineering Contradiction:
Improveclothing design qualityVSAvoidcomputational energy consumption
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by pre-processing user input and figure data before the actual clothing generation. This includes extracting key features, determining style preferences, and preparing constraints in advance, which optimizes the subsequent generative process and reduces overall computational energy requirements

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250316002A1Apparatus for changing figure of digital assistant, method, and vehicle infotainment system
Publication Date: 2025.10.09 CARIAD (CHINA) CO LTD
  • US20250316002A1 patent drawing
  • US20250316002A1 patent drawing
  • US20250316002A1 patent drawing

AI summary

The present disclosure provides a control device for changing the figure of a digital assistant, comprising: an image analysis module, configured to determine, on the basis of image data related to at least one person, figure features of the at least one person; and a figure image generation module, configured to change the figure of the digital assistant, so that the changed figure of the digital assistant matches the figure features of the at least one person.