3D Scanner Error Prediction Model for Geometric Accuracy
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Solution Overview
Problem
Existing 3D scanning technologies face inaccuracies due to calibration errors and environmental noise, leading to geometric discrepancies between scanned objects and their digital models, which affect the quality and accuracy of 3D printing processes.
Innovation Solution
A method involving standard calibration parts and scanning trials to generate a predictive model of scanning errors, allowing for the quantification and compensation of measurement inaccuracies in 3D scanners, thereby improving the accuracy of digital models and reducing geometric discrepancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 3D scanning is performed using existing technologies, then scanning speed and productivity are improved, but measurement precision and geometric accuracy deteriorate due to calibration errors and environmental noise
Solution Approach 1:
The patent applies preliminary action by performing calibration scans on standard parts with known geometries before scanning actual products. This pre-characterization of scanner errors allows the system to predict and compensate for measurement inaccuracies in advance, improving geometric accuracy without reducing scanning speed during production
2Device complexity
If traditional 3D scanning methods are used, then device complexity is reduced, but manufacturing precision deteriorates due to uncorrected scanning errors
Solution Approach 1:
The patent introduces an intermediary computational model that acts as a mediator between the scanner and the digital model generation process. This error prediction model, derived from calibration data, compensates for scanning inaccuracies through software processing rather than hardware modifications, maintaining device simplicity while improving manufacturing precision
3Measurement precision
If scanning trials are performed on multiple standard parts, then measurement precision is improved through better error characterization, but loss of time increases due to additional calibration procedures
Solution Approach 1:
The patent performs comprehensive calibration scans on multiple standard parts with different geometries (cylinders, polyhedrons, spheres) in advance to build a robust error prediction model. This preliminary characterization captures various scanner error modes, enabling accurate predictions during production scanning without requiring repeated calibration procedures
4Ease of operation
If geometric discrepancies are not compensated, then ease of operation is maintained, but reliability deteriorates due to inaccurate digital models affecting 3D printing quality
Solution Approach 1:
The patent implements feedback by using the error prediction model to compensate measured geometries automatically during the scanning process. The system takes the raw scan data, applies corrections based on the pre-established error model, and outputs compensated digital models, thereby improving reliability while maintaining operational simplicity through automation
Data Source
AI summary
Methods, systems, and apparatus including medium-encoded computer program products for generating and visualizing 3D scenes include, in one aspect, a method including: obtaining data regarding (i) standard calibration parts with shapes comprising a cylinder and polyhedrons, and (ii) a limited number of scanning trials performed on the standard calibration parts using a three dimensional (3D) scanner; comparing the data to find shape deviations for the standard calibration parts in a coordinate system; generating a model of functional dependence of scanning error for the 3D scanner using the shape deviations; and providing the model of functional dependence of scanning error for the 3D scanner to quantify scanning inaccuracy of the 3D scanner, wherein the model is usable to predict a measurement error for the 3D scanner on a scanned product.