Customized Artificial Fingernail Generation From Top-Down Images
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Solution Overview
Problem
Pre-manufactured artificial fingernails often fail to fit the unique shapes and sizes of individual users' fingernails, and traditional customization methods in nail salons are burdensome.
Innovation Solution
A system generates customized artificial fingernails based on top-down views of users' fingernails, using machine learning models to detect initial and revised fingernail borders, apply scaling and curvature factors, and generate output files for nail production, incorporating user attributes like age and gender to predict curvature without requiring side or end-on views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-manufactured artificial fingernails are used, then convenience is improved, but fit accuracy deteriorates
Solution Approach 1:
The system captures images of the user's fingernails and uses machine learning models to detect border coordinates, calculate area, and determine curvature parameters. These measured parameters are then used to generate a customized artificial fingernail that precisely matches the user's natural nail dimensions and shape, resolving the contradiction between convenience and fit accuracy.
2Manufacturing precision
If traditional nail salon customization is used, then fit accuracy is improved, but complexity of operation worsens
Solution Approach 1:
The patent replaces manual measurement tools and procedures with an automated image processing system. A camera captures a top-down view of the fingernail, and machine learning models automatically detect borders, calculate area, and determine curvature. This substitution eliminates the need for physical measuring tools and manual measurement procedures, reducing operational complexity while maintaining high customization accuracy.
Solution Approach 2:
The system creates a digital copy of the user's fingernail by capturing an image and generating border coordinates that represent the nail's shape and dimensions. This digital copy is then used to create the customized artificial fingernail, eliminating the need for physical measurement and transfer of dimensions.
3Measurement precision
If multiple angled views are captured, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent extracts and utilizes only the essential information needed for fingernail customization from a single top-down view image. The machine learning model detects border coordinates and calculates area and curvature parameters directly from this single view, eliminating the need to capture and process multiple angled views while still achieving sufficient measurement precision.
Data Source
AI summary
Aspects described herein may allow for generating a set of customized artificial fingernails based on the shape and size of the fingernails of an individual user. A computing system may generate an output file to produce the customized artificial fingernails based on a set of images displaying top-down views of a set of fingernails of a user. A reference table may be used to predict the curvature factor of each of the user's fingernails to provide information for the system regarding the three-dimensional size and shape of the user's fingernail simply based on the two-dimensional top-down views of fingernails in the set of images. That may help the user to get customized artificial fingernails in an easy and convenient way without the burden to display the user's fingernails from multiple angles.