3D Printed Hair Surface Models for Damage Visualization
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Solution Overview
Problem
Current methods fail to effectively communicate the damage caused by hair treatments and care regimes to consumers and lack a comprehensive approach to assess and mitigate this damage.
Innovation Solution
A method using 3D imaging to analyze the effects of assaults on hair by collecting and comparing imaging data before and after treatments, producing magnified 3D models to assess damage, and applying suitable beneficial treatments based on the analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional imaging methods are used to analyze hair damage, then the analysis can be performed, but the damage effects are difficult for consumers to grasp and comprehend
Solution Approach 1:
The patent creates physical 3D printed copies of hair surface topography that consumers can hold and examine. These tangible replicas transform abstract imaging data into concrete, touchable objects that clearly display damage features such as cuticle lift, erosion, and surface irregularities, making the damage effects immediately comprehensible to consumers.
Solution Approach 2:
The patent transitions from 2D imaging data to 3D physical models, adding a spatial dimension that enables consumers to view and understand hair damage from multiple angles. This dimensional transformation reveals surface topography and damage characteristics that are difficult to perceive in flat images, significantly improving consumer comprehension.
2Measurement precision
If multiple imaging data collections and comparisons are performed to assess hair damage, then the assessment accuracy is improved, but the complexity of the system increases
Solution Approach 1:
The patent extracts only the essential topographical features and damage characteristics from complex imaging data, converting them into simplified 3D printed models. This extraction process retains the critical information needed for accurate damage assessment while eliminating unnecessary data complexity, making the system more manageable.
Solution Approach 2:
The patent creates simplified physical replicas that capture only the relevant damage features rather than processing and displaying all raw imaging data. These copied models provide accurate damage assessment information in an easily interpretable format, reducing the perceived system complexity for end users.
3Loss of information
If magnified 3D models are produced to show hair surface details, then the visualization of damage is improved, but the time and resources required for processing increase
Solution Approach 1:
The patent performs preliminary processing of imaging data to identify and extract key damage features before creating the 3D printed models. By pre-processing and filtering the data to focus only on relevant damage characteristics, the system reduces the time required for model generation while maintaining high visualization quality.
Solution Approach 2:
The patent creates simplified 3D copies that capture essential damage features at magnified scales without requiring full-resolution processing of entire hair surfaces. These targeted replicas focus computational resources on displaying only the most relevant damage information, reducing overall processing time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows consumers to visualize and understand the impact of their hair regimes and treatments, enabling informed decision-making and effective damage mitigation.
Implementation Method 1
producing magnified 3D models of the at least one hair surface from a 3D printer using the data from step (iv)
Data Source
AI summary
A method of analysing at least one hair surface using a 3D printer includes collecting a first imaging data for the at least one hair surface; applying at least one assault to the at least one hair surface; collecting a second imaging data for the at least one hair surface after applying the at least one assault; converting the first imaging data into a first formatted data, the first formatted data associated with the 3D printer; converting the second imaging data into a second formatted data, the second formatted data associated with the 3D printer; producing a first 3D model of the at least one hair surface from the 3D printer using the first formatted data; and producing a second 3D model of the at least one hair surface from the 3D printer using the second formatted data.