AI Compression Garment Fitting From 2D Body Images
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Solution Overview
Problem
Existing methods for generating compression garment fit information are cumbersome, expensive, and lack accuracy, particularly for body parts with large diameters and uneven surfaces, leading to inconsistent and unreliable garment fitting.
Innovation Solution
A computer-implemented method using artificial intelligence models to analyze 2D images or videos for generating compression garment fit information, including determining skin surface dimensions and tension values, which are used to select or manufacture customized or prefabricated garments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If 3D body scanning equipment is used to take body measurements, then measurement reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses 2D images as copies of the body part instead of requiring physical 3D scanning equipment. The AI model processes these 2D image copies to extract measurement information, eliminating the need for complex hardware while maintaining measurement capability
Solution Approach 2:
The patent replaces the mechanical 3D scanning system with an AI-based image processing system. Instead of using physical scanners and complex mechanical devices, the solution uses machine learning models to interpret 2D images and derive measurement data
2Device complexity
If manual measurements are taken by medical fitters, then device complexity is reduced, but measurement precision and reliability deteriorate
Solution Approach 1:
The system enables self-measurement capability where the AI model automatically extracts measurement data from images without requiring skilled human operators. The patient or operator can capture images and the system autonomously processes them to generate accurate measurements
Solution Approach 2:
The patent replaces manual human measurement with an automated AI-based image analysis system. The machine learning model consistently extracts measurements from images without the variability and subjectivity inherent in manual measurement by different fitters
3Area of stationary object
If large diameter body parts are measured, then garment coverage is improved, but measurement accuracy deteriorates due to uneven surface morphology
Solution Approach 1:
The patent captures body part images from multiple angles and dimensions. By taking photographs from different perspectives and using multi-view imaging, the system gathers comprehensive spatial information that compensates for the challenges of measuring large, uneven body surfaces
Solution Approach 2:
The system creates multiple 2D image copies of the body part from different angles and positions. These multiple copies are processed by the AI model to reconstruct accurate measurement information even for complex, uneven surfaces that would be difficult to measure directly
Data Source
AI summary
Disclosed is a computer implemented method for generating compression garment fit information, the method including acquiring a video or images of a person; inputting the acquired video or images to an artificial intelligence module; determining the compression garment fit information by the artificial intelligence module; and outputting the compression garment fit information.