Periorbital Dyschromia Classification System for Targeted Cosmetics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for classifying periorbital dyschromia are inadequate, failing to provide a commercially viable system for distinguishing different types of dark circles, leading to unsuitable cosmetic product development and treatment regimens, and are often complex for consumer self-diagnosis.
Innovation Solution
A method and system for classifying periorbital dyschromia into three types based on visual characteristics, imaging values, histology, biomarkers, and genetic indicators, allowing for personalized cosmetic product development and user-friendly self-diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If periorbital dyschromia is classified into multiple discrete types based on underlying factors, then diagnostic precision is improved, but device complexity and difficulty of consumer self-diagnosis increase
Solution Approach 1:
The classification system divides periorbital dyschromia into three distinct types (Type I, Type II, Type III) based on different underlying factors: Type I for thin skin, Type II for hyperpigmentation, and Type III for vascular congestion. This segmentation allows for precise diagnosis while maintaining simplicity by focusing on the primary underlying factor for each type rather than considering all possible combinations.
Solution Approach 2:
The patent applies different diagnostic criteria and treatment approaches to different types of periorbital dyschromia based on their local characteristics. Each type has specific visual characteristics, underlying causes, and recommended treatments, allowing for localized and targeted diagnosis and treatment rather than a one-size-fits-all approach.
2Measurement precision
If periorbital dyschromia is classified into too many discrete types, then diagnostic precision is improved, but manufacturing cost and product development complexity increase
Solution Approach 1:
The classification system segments periorbital dyschromia into three manageable types rather than creating excessive categories. This segmentation achieves sufficient diagnostic precision while keeping product development and manufacturing feasible by limiting the number of specialized products needed.
Solution Approach 2:
The patent creates a universal classification framework that can be applied across different cosmetic products and treatment regimens. The three-type classification system serves as a multi-functional basis for developing various cosmetic compositions, allowing manufacturers to create targeted products for each type without needing to develop entirely separate systems for each condition.
3Ease of operation
If skin thickness is used as the sole characteristic for classifying periorbital dyschromia, then ease of measurement is improved, but classification accuracy deteriorates
Solution Approach 1:
The patent recognizes that different types of periorbital dyschromia have different local characteristics and causes. While skin thickness is one factor (Type I), the system also incorporates hyperpigmentation (Type II) and vascular congestion (Type III) as distinct local qualities, allowing for accurate classification based on the specific characteristics present in each case rather than relying solely on skin thickness.
Solution Approach 2:
The classification system moves beyond a single parameter (skin thickness) and incorporates multiple parameters including visual characteristics, underlying factors, and potentially biomarkers. This parameter change allows for more accurate classification by considering the full range of characteristics that can cause periorbital dyschromia.
Data Source
AI summary
A method and system for classifying different types of periorbital dyschromia is disclosed. The method includes providing at least one of a predetermined imaging characteristic and a biological characteristic for each of three different types of periorbital dyschromia, and then measuring the appropriate characteristic on a person exhibiting periorbital dyschromia. The type of periorbital dyschromia exhibited by a person can then be determined by comparing the measured value to the predetermined value and selecting the corresponding type of periorbital dyschromia.