3D Digital Nail Model Generation for Precision Measurement
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Solution Overview
Problem
Existing methods for measuring fingernail size lack precision, leading to suboptimal choices of artificial nails and improper fits, due to user error and imprecision in measurement techniques.
Innovation Solution
A computer-implemented method using machine vision and machine learning to generate a 3D digital nail model from multiple image views, determining nail measurements with increased accuracy by incorporating curvature and shape analysis, and correlating these measurements to standardized nail sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image views are captured and processed through machine vision and 3D modeling, then measurement precision is improved, but device complexity and processing time increase
Solution Approach 1:
The patent transitions from 2D image capture to 3D digital nail model generation by capturing images from multiple views (top-down and auxiliary angles) and processing them through point cloud modeling algorithms. This dimensional transformation enables precise measurement of nail curvature and shape that cannot be obtained through flat 2D measurements alone, directly resolving the measurement precision issue while managing complexity through systematic multi-view acquisition.
Solution Approach 2:
The patent creates a digital 3D copy (digital twin) of the physical nail by processing multiple images through machine vision algorithms. This digital replica captures the nail's true geometry including curvature and shape variations, allowing for precise measurement without physical contact. The digital model serves as a virtual substitute that preserves all measurement-relevant characteristics while eliminating the need for complex physical measurement apparatus.
2Reliability
If existing manual measurement methods are used, then device complexity is reduced, but measurement precision and reliability deteriorate due to user error
Solution Approach 1:
The system performs self-measurement by automatically capturing images, processing them through machine vision algorithms, and generating measurements without human intervention. The user simply positions their nail under the camera, and the system autonomously completes the entire measurement process including 3D model generation and dimension extraction, eliminating user error while maintaining operational simplicity.
Solution Approach 2:
The patent replaces manual mechanical measurement (using rulers, tapes, or physical gauges) with an optical-mechanical system consisting of a camera and image processing algorithms. This substitution eliminates the need for users to physically measure and record dimensions, thereby removing the source of user error while the automated image capture and processing provide consistent, repeatable measurements.
3Adaptability or versatility
If standardized nail sizes are offered in limited ranges, then device complexity is reduced, but adaptability to various nail shapes and sizes deteriorates
Solution Approach 1:
The patent measures and reports multiple independent nail parameters (width, length, curvature radius, shape characteristics) rather than relying on a single standardized size label. By capturing and analyzing these varying parameters through 3D modeling, the system can accommodate diverse nail geometries and provide precise matching to artificial nail products, expanding adaptability beyond traditional size categories.
Solution Approach 2:
The patent divides the nail measurement into multiple independent parameters (width at different positions, curvature, shape profile) rather than treating it as a single dimension. This segmentation allows for more nuanced characterization of nail geometry, enabling better matching to artificial nails while providing detailed information that goes beyond simple size categorization.
Data Source
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AI summary
Methods, systems, and computer program products to provide precision fingernail measurements. The method includes receiving first image data of a primary view of at least one fingernail and receiving second image data of a secondary view of at least one fingernail. The method also includes generating a three-dimensional (3D) digital nail model using the first and second image data. The method further includes determining a plurality of nail measurements based on the 3D digital nail model.