Measurement
Moisture
When the skin lacks sufficient moisture, the balance between oil and water breaks down, causing the skin to become rough, lose elasticity and vitality, and become more sensitive. In particular, slower recovery speed can accelerate the aging process. Moisture analysis is performed by measuring skin hydration levels with the sensor, classifying the values by range, applying calibration to account for device-specific variance, and calculating the final result through a dedicated formula.
Oiliness
Excess sebum is produced by the skin’s sebaceous glands and can cause shine and enlarged pores. Sebum is measured either by collecting it with oil blotting paper and analyzing the captured image, or by detecting areas with higher gray intensity using a cross mask. The top 2% brightest pixels are identified as sebum-rich areas.
Wrinkles
Wrinkles are natural signs of aging, caused by reduced elasticity, sun exposure, and skin dryness. They appear darker than surrounding areas and are detected using VSL analysis. After removing facial hair, wrinkles are identified based on depth and length — only lines longer than a set threshold are counted. The depth is estimated using the S-channel in the HSL color space. The wrinkle index is calculated by multiplying the wrinkle length by average depth and dividing by the image size.
Sebum
Sebum is secreted from glands and connected to pores. A proper amount protects the skin, but excess can clog pores and cause issues. Porphyrins in sebum glow red under UV light, while yellow and green signals help detect blockages. A correction formula is applied to calculate the sebum index.
Pores
Pores are openings of sebaceous glands, often visible in areas with high gland density, like the nose. Excess sebum or reduced skin elasticity due to aging may cause pores to appear larger and deeper. Using Morphology Opening, each pore is segmented, and its depth is measured via VSL. The pore index is calculated based on depth and area.
Dead Skin
Keratin is a protein that forms the skin's outer layer. When overproduced, it can accumulate under hair follicles and appear as tiny, rough plugs called keratosis pilaris. We detect and measure keratin using a special adhesive tape, analyzing the collected amount.
Spots & Blemishes
These appear when specific areas of the skin produce excess melanin due to sun exposure, tanning, certain skin conditions, or medications. Spots are identified by analyzing brightness values. Two weights are applied: one for darkness and another for contrast with the surrounding area. The final index is calculated using these values relative to the image size.
Pigmentation
Pigmentation occurs when melanin increases due to UV exposure, scarring, or skin damage. Under UV light, melanin absorbs and appears darker, making pigmentation more visible. These areas are detected by brightness and filtered to isolate melanin spots. A weighted formula based on darkness and contrast with surroundings is used to calculate the pigmentation index.
Dark Circles
Dark circles refer to the shadowy appearance under the eyes that often makes the face look tired and dull. Common
causes include melanin pigmentation, visible subcutaneous veins due to thin skin, and poor blood circulation around the
eyes. Our system uses an AI model trained on extensive dark circle datasets to automatically detect and predict dark
circle areas in captured images.
Radiance
Skin radiance is the natural glow of healthy skin, often resulting from adequate rest and nutrition. It is influenced
by the reflectivity of skin cells, surface smoothness, and overall uniformity. Using the VSL technique, radiant areas
of the face are detected and visually highlighted.
Redness (Sensitivity)
Redness typically occurs when the skin is exposed to repeated stimuli such as sunburn or allergic reactions. In these cases, excess blood flows to the skin’s surface to eliminate irritants and promote healing, causing the skin to appear flushed. In severe cases, medical attention may be necessary. Redness is detected through color difference analysis, using the contrast between the red and green channels in the RGB image to calculate a redness index.
Skin Tone
Skin tone is genetically determined by the amount of melanin present at the boundary between the epidermis and dermis. A full-face image is captured and segmented into different regions. The RGB values of each region are measured, and a
series of calculations are applied by comparing them with standard skin tone RGB values to determine the overall skin
tone.
Shininess
Sebum is the oily substance secreted by sebaceous glands in the skin. It forms a protective layer that prevents moisture loss, neutralizes alkalinity, blocks external irritants, and helps slow down skin aging. However, when sebum is excessively produced, it can cause the skin to appear noticeably shiny. An AI algorithm trained on large-scale datasets is used to detect shiny areas in the captured image.
Dullness
Dull skin results from the excessive buildup of dead skin cells on the surface. Factors such as dryness, accumulation of damaged cells, and a slowdown in cell turnover contribute to the loss of natural radiance. A trained AI algorithm detects dull areas by identifying regions that lack glow and appear darker than the skin’s natural tone.
Elasticity
Skin elasticity refers to the skin’s ability to return to its original shape after being stretched. While loss of elasticity is a natural part of aging, excessive UV exposure accelerates the degradation of elastin and collagen, leading to dryness and wrinkles. The elasticity score is calculated by integrating the analysis results of wrinkles and dullness.
