3D Heat Map Apparel Recommendations from Incomplete Body Scans
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Solution Overview
Problem
Existing 3D scanning technologies for body parts, particularly in commercial or casual settings, face challenges in achieving high precision quickly while maintaining user comfort, often requiring immobility and medical-grade accuracy, which can deter customers.
Innovation Solution
A 3D scanning system that rapidly captures high-precision scans with incomplete data, interpolates missing information using demographic data, and provides a heat map of fit and tightness, integrating multiple scans over time to adapt to changing body characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 3D scanning is performed rapidly in commercial settings, then scanning speed and user comfort are improved, but measurement precision deteriorates
Solution Approach 1:
The system performs rapid incomplete scans that capture only portions of the body at a time, then uses AI interpolation to fill in missing data. This partial scanning approach enables fast scanning without requiring complete high-precision data capture in a single session, resolving the contradiction between speed and accuracy.
Solution Approach 2:
The patent introduces demographic data and AI algorithms as intermediaries between the rapid incomplete scan and the final complete body model. These intermediaries process the partial scan data and generate missing information, enabling high precision output from low precision input, thus resolving the accuracy-speed contradiction.
2Measurement precision
If complete high-precision scans are obtained, then measurement accuracy is improved, but scanning time and user discomfort increase
Solution Approach 1:
The system collects demographic information (height, weight, age, gender) before performing the scan. This preliminary data is used by the AI to interpolate and complete the body model from partial scan data, reducing the need for lengthy complete scans and thereby reducing scanning time while maintaining accuracy.
Solution Approach 2:
The system uses feedback from multiple rapid scans taken at different times to iteratively improve the body model accuracy. By comparing and refining models across multiple scanning sessions, the system achieves high precision without requiring each individual scan to be complete or time-consuming.
3Adaptability or versatility
If multiple scans are integrated over time, then adaptability to body changes is improved, but system complexity increases
Solution Approach 1:
The AI system automatically processes multiple scans, compares body changes over time, and updates the body model without requiring manual intervention. The system self-corrects and adapts to body changes autonomously, managing the complexity internally while providing simple adaptability to the user.
Data Source
AI summary
Devices, systems, and methods include a three-dimensional (3D) scanning element, an electronic data storage configured to store a database including fields for 3D scan data and demographic information, a processor, and a user interface. In an example, the processor obtains 3D scan data of a body part of a subject from the 3D scanning element, analyzes the 3D scan data for incomplete regions, generate a composite 3D image of 3D scan data from the database based on similarities of demographic information, and overlays composite 3D image regions corresponding to incomplete regions on the 3D scan data.