Systems and methods for skin analysis
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Solution Overview
Problem
Existing smart mirror systems are ineffective for analyzing and monitoring various skin conditions, as they cannot accurately evaluate treatment effectiveness or detect subtle and slow physiological changes.
Innovation Solution
A smart mirror system comprising a frame, a mirror, a camera, a first light source for visible light, a second light source for UV light, and processors that acquire images under different lighting conditions, process skin features, and generate a skin profile analysis for evaluation and monitoring of skin conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing smart mirror systems use standard visible light cameras for skin analysis, then the device complexity is low, but the measurement precision of skin features is insufficient
Solution Approach 1:
The system segments the light source into multiple independent wavelengths (UV, blue, green, yellow, red, infrared) that can be individually controlled and activated. This allows selective illumination for different skin feature detections, improving measurement precision while managing device complexity through modular wavelength-specific analysis protocols
Solution Approach 2:
The system transitions from standard visible light (2D color detection) to multi-spectral imaging across the electromagnetic spectrum (adding wavelength dimension). This enables detection of subsurface skin features, pigmentation variations, and physiological changes that are invisible under conventional lighting, significantly enhancing measurement precision
2Measurement precision
If multiple light sources with different wavelengths are used, then the measurement precision of skin features improves, but the use of energy increases
Solution Approach 1:
The system implements periodic activation of different wavelength light sources in sequential cycles rather than continuous operation. Each wavelength is activated only when needed for specific skin feature detection, reducing overall energy consumption while maintaining high measurement precision through targeted spectral analysis
Solution Approach 2:
The system applies different wavelengths locally to specific skin regions or features based on detection needs. For example, UV light is activated only for subsurface pigment detection in specific areas, while visible light handles surface features, optimizing energy distribution and reducing total energy consumption
3Adaptability or versatility
If images are acquired under multiple lighting conditions, then the comprehensiveness of skin analysis improves, but the loss of time increases
Solution Approach 1:
The system performs preliminary rapid scanning with broad-spectrum illumination to identify regions of interest, then activates specific wavelength light sources only for those areas. This preliminary action reduces overall acquisition time while maintaining comprehensive skin analysis coverage by focusing detailed multi-wavelength analysis only where needed
Solution Approach 2:
The system merges multiple wavelength acquisitions into synchronized or near-synchronized capture sequences, reducing the temporal gap between different lighting condition images. This merging approach minimizes skin movement artifacts and reduces total analysis time while maintaining comprehensive multi-spectral data collection
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
The system provides improved accuracy and efficiency in determining skin features and changes over time, allowing for comprehensive skin analysis and adaptability to various skin tones and hues, enabling effective evaluation of cosmetic and medical treatments.
Implementation Method 1
a first light source configured to output white light having wavelengths in a visible range
Implementation Method 2
a second light source configured to output UV light having wavelengths in a UV range
Implementation Method 3
acquire one or more images of a user via the camera using a first lighting condition provided by the first light source or the second light source
Data Source
AI summary
Systems and methods are provided for performing skin analysis using smart mirror systems. In one example, a plurality of RGB images are acquired via an RGB camera integrated with a smart mirror. Using the RGB images as input, multiple skin key performance indicators (KPIs, also referred to as skin features) including sebum porphyrin, redness, acne, eczema, rosacea, UV spots, brown spots, eye bags, scars are classified and/or quantified. In particular, computer vision algorithms are used in order to detect tone changes within the user's skin, and segment the various skin features. Thus, the systems and methods describes herein are robust in adapting to different skin colors, tones, and/or hues.