Skin Water Content Analysis via Image Feature Extraction
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Solution Overview
Problem
Current skin moisture detection methods rely on electrodes and capacitive measurements, which are costly and inefficient, especially in difficult-to-detect areas, and do not effectively analyze skin water content through image analysis.
Innovation Solution
A method and device that analyze skin water content by performing skin feature analysis on images, determining glossiness and smoothness using algorithms like SSR and GLCM, and calculating average pore area to classify skin as oily, dry, or neutral, without the need for direct contact sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrodes and capacitive measurement methods are used to detect skin moisture, then measurement precision can be achieved, but device complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical/electrical electrode-based capacitive measurement system with an optical imaging system. Instead of using electrodes to measure skin capacitance, the invention uses image capture devices to obtain skin images and analyzes moisture content through image processing algorithms that examine features like glossiness, texture, and color distribution. This substitution eliminates the need for complex electrode assemblies and capacitive measurement circuits.
Solution Approach 2:
The patent creates an optical copy (image) of the skin surface and performs moisture analysis on the copied data rather than direct physical measurement. The image capture device creates a visual representation of the skin, and subsequent image processing extracts moisture information from this copy, avoiding direct contact with electrodes and simplifying the measurement system.
2Reliability
If contact-based detection methods are used, then reliable skin moisture data can be obtained, but ease of operation decreases due to difficulty in detecting hard-to-reach areas
Solution Approach 1:
The patent replaces contact-based mechanical electrode application with non-contact optical imaging. The image capture device can obtain skin images from any accessible area without requiring physical contact or electrode placement, making it equally easy to detect moisture in hard-to-reach areas such as the back, behind the ears, or other difficult-to-access regions.
3Measurement precision
If traditional skin moisture detectors are used, then accurate capacitance measurement is achieved, but productivity decreases due to time-consuming detection process
Solution Approach 1:
The patent enables continuous moisture monitoring through rapid sequential image capture and processing. Unlike electrode methods that require careful placement and stable contact, the imaging system can continuously capture skin images and process them to provide real-time moisture information, maintaining continuous useful action without interruption for repositioning or recalibration.
Solution Approach 2:
The patent uses optical copying (imaging) which can be performed rapidly without the setup time required for electrode placement. The image capture and processing pipeline can operate continuously at high speed, extracting moisture information from each captured image frame, thereby significantly increasing detection throughput and productivity compared to contact-based methods.
Data Source
AI summary
The present application discloses a method and a device for analyzing the water content of skin by means of a skin image. The method comprises performing skin feature analysis on an acquired skin image, and obtaining the water content of skin on the basis of the skin features, wherein the skin features comprise a glossiness level and a smoothness level. The present invention clearly shows a reduction in implementation costs when compared to the prior art. The invention also achieves rapid testing.