Augmented Reality 3D Model Deviation Detection

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Solution Overview

Problem

Current augmented reality solutions lack effective methods for comparing and detecting deviations in three-dimensional models of objects against domain-specific databases, limiting their ability to accurately identify objects and assess variations that may impact monetary value or regulatory compliance.

Innovation Solution

A method and system that utilize a computer processor to receive a 3D model of an object, determine its characteristics, compare them with a domain-specific database, calculate variations, and create a searchable index, allowing users to link object data to external sources for additional information on variations affecting value or compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If augmented reality solutions are implemented without domain-specific database comparison, then implementation complexity is reduced, but object identification accuracy and deviation detection capability deteriorate

Engineering Contradiction:

Improveimplementation complexityVSAvoidobject identification accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent introduces a domain-specific database as an intermediary component that mediates between the augmented reality system and the object being analyzed. This database stores reference information and enables accurate comparison without requiring complex integration between the AR system and external data sources, thus maintaining simplicity while improving accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the object analysis process into distinct characteristics (e.g., color, shape, size) that can be independently compared against the domain-specific database. This segmentation allows for simplified processing of each characteristic while maintaining overall identification accuracy through cumulative comparison of multiple features.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If comprehensive characteristic comparison is performed against domain-specific database, then deviation detection accuracy is improved, but processing time increases

Engineering Contradiction:

Improvedeviation detection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs partial comparison by focusing on key characteristics that are most relevant to the specific domain and object type. Rather than comparing all possible characteristics equally, the system identifies and compares only the most significant features, achieving sufficient deviation detection accuracy with reduced processing time.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The domain-specific database is pre-populated with reference information and expected characteristic values before the actual comparison process. This preliminary preparation allows the system to quickly compare against known standards without performing complex real-time analysis, thereby reducing processing time while maintaining accuracy.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If detailed variation analysis is conducted for each characteristic, then compliance assessment capability is improved, but computational resources required increase

Engineering Contradiction:

Improvecompliance assessment capabilityVSAvoidcomputational resources

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies different levels of analysis depth to different characteristics based on their importance for compliance assessment. Critical characteristics receive detailed variation analysis while less important features undergo simpler comparison, optimizing computational resource usage while maintaining reliable compliance assessment for the most significant parameters.

Inventive Principle:

Principle #3Local quality

4Productivity

If searchable index is created for matching data and variations, then information retrieval efficiency is improved, but data processing time increases

Engineering Contradiction:

Improveinformation retrieval efficiencyVSAvoiddata processing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The searchable index is created in advance during data preparation phase, organizing matching data and variations into an optimized structure before actual queries are executed. This preliminary indexing allows for extremely fast information retrieval during compliance assessment, as the system only needs to query the pre-organized index rather than searching raw data each time.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10169384B2Augmented reality model comparison and deviation detection

Publication Date: 2019.01.01 WAYFAIR LLC

AI summary

An aspect of providing augmented reality model comparison and deviation detection includes receiving a three-dimensional (3D) model of an object that is associated with a domain, determining a set of characteristics of the object from the 3D model, and searching a domain-specific database for data matching the set of characteristics. The domain-specific database corresponds to the domain associated with the object. An aspect also includes determining an identification of the object from data in the domain-specific database that matches the set of characteristics. For each characteristic in the set of characteristics, and aspect further includes comparing each value of the characteristic to a corresponding value in the matching data of the domain-specific database, and calculating any variation between the corresponding value of the characteristic and the value of the matching data. Another aspect includes creating a searchable index of the matching data and corresponding variations.