Vision Recognition Reference Generation for Personalized Interactive Attractions

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Users of interactive events, such as amusement park attractions, are limited to pre-defined visual inputs and corresponding effects, lacking the ability to create and use personalized visual images that trigger specific interactions.

Innovation Solution

A system that generates vision recognition references from user-selected content, allowing users to upload and process their own visual inputs, such as drawings or photographs, to associate with game behavior instances, enabling personalized interactions within interactive environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users are limited to pre-defined visual inputs, then the system complexity is reduced and ease of operation is improved, but user engagement and personalization capability deteriorate

Engineering Contradiction:

Improveease of operationVSAvoidpersonalization capability

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by automatically processing user-uploaded images through generation, enhancement, and conversion to vision recognition reference formats before the attraction experience. This automated pre-processing eliminates manual complexity while enabling personalized visual inputs, resolving the contradiction between ease of operation and personalization capability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary image processing system that acts as a mediator between user-uploaded images and the vision recognition system. This intermediary automatically generates and enhances images, converting them into suitable formats for attraction integration, thereby enabling personalization without requiring users to manually create complex visual inputs

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If users can create and upload custom visual inputs, then adaptability and user engagement are improved, but system complexity and processing requirements increase

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements self-service by automatically generating, enhancing, and processing user-uploaded images without requiring manual intervention. The automated image processing pipeline handles format conversion, quality enhancement, and vision reference generation independently, reducing system complexity while maintaining personalization capability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes with automated digital processing. Instead of requiring users to manually create and prepare visual inputs, the system uses automated image generation and enhancement algorithms to process user uploads, thereby reducing system complexity while enabling personalization

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If custom visual inputs are processed and integrated into the attraction system, then user engagement and experience quality are improved, but processing time and computational resources increase

Engineering Contradiction:

Improveexperience qualityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary image processing and generation before the attraction experience begins. By pre-processing user-uploaded images and converting them to vision recognition references in advance, the system minimizes processing time during actual attraction use while maintaining high experience quality

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces time-consuming manual image preparation with automated digital processing algorithms. The automated generation and enhancement processes efficiently convert user uploads into attraction-ready visual inputs, reducing processing time while ensuring reliable experience quality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10092844B2Generation of vision recognition references from user selected content

Publication Date: 2018.10.09 DISNEY ENTERPRISES INC

AI summary

There is provided a system and method for generation of vision recognition references from user-selected content. The method comprises receiving data corresponding to a user selected content, generating a vision recognition reference from the data, associating a game behavior descriptor with the vision recognition reference, wherein the game behavior descriptor correspond to a game behavior instance, and storing the vision recognition reference and the associated game behavior descriptor in a database, wherein the database includes a plurality of pre-defined vision recognition references, and wherein each of the plurality of pre-defined vision recognition references correspond to at least one pre-defined game behavior descriptor. The method may further comprise receiving user input corresponding to the user-selected content, retrieving the vision recognition reference and the associated game behavior descriptor from the database and initiating the game behavior in a corresponding game.