Area-Based Skin Learning System

• 10 areas have been developed with ergonomic design.
• ISM techniques recognize and measure minute shadows of skin tissue by indirect light source.
• Using high-resolution image analysis technology, it is quantitatively analyzed in pixels.
• Learn skin data with Big Data & Deep Learning technology.

Superb Three Flash Light Sources

• The flash light source contains all the wavelengths that pass through the visible spectrum, allowing it to express a color close to natural light.
• Nomal light – indirect irradiation takes a skin image that prevents excessive exposure.
• Polarized light – A polarizing filter that removes the reflection of light on the surface of the skin to capture images that excepting texture.
• UV light – A polarizing filter that removes the reflection of light on the surface of the skin capture images that exclude textures.

Overlaid Calibration Face Recognition

 

 

• It recognise the face with 70 coordinates and use overlay correction technology to pinpoint the correct coordinates.
• It calibrates the slope of the image so that you can always measure the same face area.
• It recognizes the contour of the face and remove unnecessary background.

Photographic Brightness Maintenance equipment

• Using Gray card* modality, it controls the same brightness every time.
• When Shooting, measure the amount of light to detect the condition of the light source or changes in the shooting environment.
• (*It used to adjust exact exposure and white balance when a professional takes photos)

Skin Surface 3D Processing Algorithm

 

 

 

 

• The images taken in 2D are processed with their own calculation algorithm and implemented in 3D.
• It uses blurring technology to effectively view deep-rooted analysis items, such as pores or creases.