Automated Image Orientation for Mobility Equipment Fitting
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Solution Overview
Problem
The process of fitting subjects with mobility assistive equipment is time-consuming and prone to errors, as it typically requires manual measurement by a professional, which is not easily reviewable or scalable.
Innovation Solution
An automated method for determining the orientation of scanned images using a system that receives image data, generates subsets of points, fits parametric models, and orients the image based on the model with the largest number of points, facilitating accurate fitting of mobility assistive equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement by a professional is used to fit subjects to mobility assistive equipment, then measurement accuracy can be maintained, but the process becomes time-consuming and less scalable
Solution Approach 1:
The patent replaces the manual mechanical measurement system with an automated image processing and computer vision system. The system captures images of the subject and assistive equipment, then uses algorithms to automatically identify features, calculate measurements, and determine fit quality, eliminating the need for manual measurement while maintaining accuracy and significantly improving efficiency
Solution Approach 2:
The patent creates a digital copy of the physical measurement process through image capture and processing. Instead of direct physical measurement, the system uses images as proxies to extract measurement data, enabling automated analysis while preserving the essential measurement function
2Adaptability or versatility
If manual measurement processes are used, then flexibility in handling different subjects can be maintained, but the process becomes less reviewable and harder to standardize
Solution Approach 1:
The patent implements feedback mechanisms where the system provides quantitative measurements, image data, and fit quality assessments that can be reviewed and verified. The automated system generates objective data that can be checked against standards, improving reviewability while the modular design maintains adaptability for different subjects and equipment types
Solution Approach 2:
The patent transforms the measurement process from subjective manual assessment to objective parameter-based analysis. By converting physical measurements into digital parameters extracted from images, the system enables standardized processing while maintaining the ability to adapt to different subjects through parameter variation
3Ease of operation
If conventional fitting methods are used, then simplicity of the process can be maintained, but errors are more likely and efficiency is reduced
Solution Approach 1:
The patent replaces error-prone manual measurement with automated image processing that consistently applies the same measurement criteria. The system reduces human error by eliminating manual reading and recording of measurements, while the automated workflow maintains operational simplicity through standardized procedures
Data Source
AI summary
Embodiments for determining an orientation of a scanned image. In an exemplary embodiment, a method comprises receiving image data of an image of one or more objects. Each object of the one or more objects in the image includes a plurality of points on a surface of the object. The method further comprises generating a plurality of subsets of points of the plurality of points and fitting a parametric model to more than one subset of the plurality of subsets to generate a plurality of parametric models. Further, the method identifies a parametric model of the plurality of parametric models that includes the largest number of points and orients the image based on the parametric model that includes the largest number of points.