How does
AI Personal Color work?
An AI analysis technology that structures the skin's unique color spectrum
through optical-based precision color analysis, and applies environmental correction algorithms
to generate distortion-free personalized color profiles.
An AI analysis technology that structures
the skin's unique color spectrum
through optical-based precision color analysis,
and applies environmental correction algorithms
to generate distortion-free personalized color profiles.
Precision Optical
Sensing-based Capture
▶ Analysis based on 150+
facial pigment landmarks
▶ Automatic skin area separation
and color data extraction
Color Space
Conversion Analysis
▶ Lab color space conversion
for brightness-saturation separation
▶ HSV-based precise hue axis analysis
Lighting
Calibration Environment
▶ Color temperature-based
white balance calibration
▶ Environment-adaptive
auto calibration algorithm applied
Skin Color Vectorization
▶ Color density quantification
▶ Skin brightness range calculation
Twinit AI Personal Color Profiling Feature 1
Skin Spectrum
Analysis Engine
AI decomposes skin images through RGB
and converts to Lab color space to analyze brightness,
saturation, hue, pigment density, and hemoglobin
reflectance. Includes preprocessing to automatically
separate skin areas and remove noise,
and analysis results are output
as normalized skin color vectors.
Twinit AI Personal Color Profiling Feature 2
Multi-ethnic
Skin Spectrum Modeling
The analysis engine is not limited to specific ethnicities.
Based on datasets trained on diverse races
and skin color distributions worldwide,
it precisely analyzes pigment density
and color patterns to maintain consistent
classification accuracy in global environments.
Twinit AI Personal Color Profiling Feature 3
Environment-Adaptive
Auto Calibration
Technology
Detects environmental variables such
as lighting brightness, color temperature,
screen luminance, and skin reflectance in real-time
to automatically calibrate analysis values.
Provides stable color analysis results
even in various offline environments.
Clearly proven business impact
by many cases
+14%
Sales
Contribution
Of the total store sales, the share generated
from purchases after Twinit
experience averaged 14%.
×3
Walk-in
Customer Increase
The number of visitors to offline stores
that adopted Twinit AI increased
to an average of 200% compared to before.
+67%
Online Traffic
Connection Rate
Average monthly sales increased by 67% per
store during the Twinit solution
deployment period.
