Hair Damage Detection Using Optical Pattern Recognition
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Solution Overview
Problem
Users of hair treatment products often lack information on the extent and type of hair damage, leading to the use of unsuitable products and dissatisfaction with their effectiveness.
Innovation Solution
A method and system for determining external hair damage using a reading unit to obtain optical features of hair and a processing unit implementing a pattern recognition algorithm to assign surface properties to predetermined damage types and levels, outputting the damage assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users apply hair treatment products without knowing their hair damage status, then product selection is made easily, but product effectiveness is reduced due to mismatched treatment
Solution Approach 1:
The system enables users to self-diagnose their hair damage status using an optical reading unit and pattern recognition algorithm, eliminating the need for professional assessment while providing accurate damage classification (e.g., cuticle damage, cortical damage) and severity levels, thereby allowing informed product selection
Solution Approach 2:
The system provides immediate feedback on hair damage status by analyzing optical features and comparing them against predetermined damage patterns, giving users real-time information about their hair condition to guide appropriate product selection and treatment
2Measurement precision
If complex damage assessment methods are used to accurately determine hair damage, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical or laboratory-based damage assessment methods with an optical reading unit that captures light interaction with hair, using pattern recognition algorithms to automatically classify damage types and severity, achieving high precision without mechanical complexity
Solution Approach 2:
The system creates optical copies (images) of hair structure and uses computational analysis of these copies to determine damage characteristics, avoiding the need for physical manipulation or complex instrumentation while maintaining diagnostic accuracy
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
Enables users to determine the specific type and degree of external hair damage, allowing for personalized hair treatment recommendations and improving the effectiveness of hair care products.
Implementation Method 1
a reading unit (150) is designed to obtain optical features of hair
Data Source
AI summary
An arrangement for determining external damage to hair is given. A device comprising: a reading unit adapted to obtain optical characteristics of hair; and a processing unit adapted to receive the optical characteristics from the reading unit and to determine surface properties of the hair from the optical characteristics, wherein the processing unit implements a pattern recognition algorithm and is adapted to assign, by employing the pattern recognition algorithm, the surface properties to a predetermined damage including at least one damage type and an associated damage level and to output the damage.