3D Model Dimension Ranking for Scan Accuracy
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Solution Overview
Problem
3D scanners often fail to accurately capture certain features or areas of objects, leading to incomplete or inaccurate digital models, necessitating supplementary measurements by users to achieve acceptable accuracy.
Innovation Solution
A system comprising a model engine, analysis engine, ranking engine, and display engine that generates a 3D model, analyzes target dimensions, ranks them based on characteristics and historical scan data, and displays the most critical dimensions for user measurement, allowing for accurate model supplementation with reduced necessary measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If 3D scanning is performed to create a digital model, then the model can be used for various applications, but the scan may not accurately capture certain features or areas of the object
Solution Approach 1:
The system provides visual feedback to the user during the scanning process, displaying indicators that show which areas have been adequately scanned and which require additional scanning. This feedback mechanism allows users to identify and re-scan problematic areas, thereby improving overall scan accuracy and ensuring complete feature capture.
Solution Approach 2:
The system performs preliminary analysis of the scanned data to identify areas that were not accurately captured before finalizing the digital model. This preliminary action allows for targeted re-scanning of specific problem areas rather than requiring a complete re-scan, improving efficiency while ensuring accuracy.
2Manufacturing precision
If users take supplementary measurements to improve model accuracy, then the model completeness improves, but the time and effort required increases
Solution Approach 1:
The system applies different levels of scanning detail and measurement requirements to different areas of the object based on their importance and scan quality. Critical features that are difficult to scan receive more attention and require supplementary measurements, while well-scanned areas require minimal additional work. This localized approach minimizes overall time investment while ensuring accuracy where it matters most.
Solution Approach 2:
The system performs partial supplementary measurements only for specific problem areas rather than requiring complete re-measurement of the entire object. By focusing measurements only where needed based on preliminary analysis, the system achieves acceptable accuracy without requiring excessive time investment in comprehensive re-scanning.
3Manufacturing precision
If all target dimensions are measured to ensure complete accuracy, then the model quality improves, but the complexity of the process increases
Solution Approach 1:
The system extracts and identifies only the critical target dimensions that require measurement from the complete set of possible dimensions. By analyzing the 3D model and scan quality, the system determines which specific dimensions are essential for acceptable model quality and focuses the measurement process on those extracted critical dimensions, thereby reducing process complexity while maintaining quality.
Solution Approach 2:
The measurement process is segmented into distinct phases: automatic scanning, preliminary analysis to identify problem areas, targeted supplementary measurement of specific dimensions, and model finalization. This segmentation breaks down the complex process of measuring all dimensions into manageable stages, reducing overall process complexity while ensuring necessary accuracy.
Data Source
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AI summary
In one example implementation, a system for ranking target dimensions includes a model engine to generate a three-dimensional (3D) model of an object from a scan of the object, an analysis engine to analyze the 3D model of the object and determine target dimensions of the object, a ranking engine to rank the target dimensions based on target dimension characteristics, historical scan information related to the target dimension characteristics, or a combination thereof, and a display engine to display information relating to the ranked target dimensions of the object.