Multimodal Procedural Guidance Using In-Situ 3D Model Creation
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Solution Overview
Problem
Existing methods for creating mixed reality experiences face challenges due to inaccurate or missing CAD models, high costs for accessing CAD data, laborious reverse engineering, and subjective quality assurance processes, which hinder efficient implementation and objective performance evaluation.
Innovation Solution
A mixed reality system using a mixed reality controller to define a 3D coordinate system, generate a virtual 3D model, and refine it to match the physical object, along with AI-based methods to parse and categorize procedural steps for multimodal distribution, enabling objective quality assurance through sensor feedback and machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CAD models are obtained from manufacturers, then the virtual objects can be replicated in mixed reality environments, but the models may be inaccurate due to equipment upgrades or modifications
Solution Approach 1:
The system performs preliminary 3D scanning and point cloud generation to capture the current state of physical objects before they are used in mixed reality environments. This preliminary action creates an updated digital representation that replaces outdated CAD models, ensuring accuracy reflects the actual current state of equipment
Solution Approach 2:
Instead of relying on manufacturer CAD models that may be outdated, the system creates copies of the actual physical objects through 3D scanning and point cloud processing. These copies accurately represent the current state of equipment, including any upgrades or modifications made since the original CAD models were created
2Reliability
If reverse engineering is performed to obtain accurate models, then the virtual objects can match physical objects, but the process becomes costly and laborious
Solution Approach 1:
The system replaces manual reverse engineering processes with automated 3D scanning technology. Instead of laborious manual measurement and modeling, the system uses scanners to automatically capture point cloud data, which is then processed algorithmically to generate accurate 3D models, dramatically reducing both time and labor requirements
Solution Approach 2:
The system changes the approach from manual measurement parameters to automated scanning parameters. By using 3D scanning technology, the system captures geometric data through optical or laser-based measurements, transforming the modeling process from labor-intensive manual operations to automated data acquisition with different technical parameters
3Manufacturing precision
If 3D scanning equipment is used to model objects, then accurate virtual representations can be created, but the workflow becomes laborious requiring further contextual manipulation
Solution Approach 1:
The system merges the 3D scanning, point cloud generation, and model processing into an integrated automated workflow. Instead of separate manual steps for scanning, processing, and contextual manipulation, the system combines these operations into a unified process that automatically generates ready-to-use 3D models from point cloud data
Solution Approach 2:
The system enables self-service processing where the point cloud data automatically generates 3D models without requiring extensive manual contextual manipulation. The automated processing algorithms handle the conversion from raw scan data to usable models, reducing the need for labor-intensive post-processing and contextual adjustments
4Reliability
If traditional quality assurance processes are used, then human decisions can be injected into the process, but the processes become subjective and add risk
Solution Approach 1:
The system implements automated feedback loops where sensor data from the mixed reality environment is continuously monitored and compared against expected outcomes. This automated feedback provides objective quality assurance by comparing actual performance metrics with predetermined standards, eliminating subjective human judgment while maintaining comprehensive quality control
Solution Approach 2:
The system replaces subjective human quality assurance processes with automated sensor-based evaluation systems. Instead of human inspectors making subjective judgments, the system uses sensors, cameras, and algorithms to objectively measure and evaluate process outcomes, eliminating human bias and subjectivity from quality assurance
5Measurement precision
If IoT sensors are used to determine device states, then objective measures can be obtained, but the sensors do not focus on the granularity of the procedure
Solution Approach 1:
The system segments the quality assurance measurement into fine-grained procedural steps rather than coarse device states. Instead of measuring only overall device conditions, the system breaks down measurements into individual task-level metrics, capturing detailed information about each step of the procedure with high granularity and precision
6Ease of manufacture
If CAD models are accessed from manufacturers, then the models can be obtained, but the access costs are expensive
Solution Approach 1:
The system replaces expensive, proprietary CAD models with affordable, rapidly generated 3D models from 3D scanning. Instead of purchasing costly manufacturer CAD data, the system creates its own digital models through scanning, which are sufficient for mixed reality applications and can be generated on-demand without recurring licensing costs
Data Source
AI summary
This disclosure and exemplary embodiments described herein provide methods and systems for multimodal procedural guidance content creation and conversion, however, it is to be understood that the scope of this disclosure is not limited to such application. One of the implementations described herein is related to the generation of content/instruction set that can be viewed in different modalities, including but not limited to mixed reality, VR, and audio text, however it is to be understood that the scope of this disclosure is not limited to such application.