Professional 8 Spectral Image Analysis

The skin analysis system uses three industrial-grade high-definition cameras to take full-face photos, and presents facial images through 8 spectra including white light, positive polarized light, negative polarized light, ultraviolet light, blue light, Wu light, brown light, and red light, and analyzes skin issues.

RGB White Light

Under natural light, the sun’s rays are soft and uniform, using multi-directional diffuse light to illuminate the entire face, without shadows, obvious fine lines, and can detect skin color. Wrinkles, pores, spots, and acne can all be clearly seen. Obviously, the facial skin condition under natural light can be used as a basis for overall clinical skin evaluation.

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Parallel Polarization

The parallel polarization mode uses a special set of parallel polarizers to reduce the visibility of skin features below the skin surface and enhance the optical reflection of the skin surface, making the skin surface texture clearer. After switching to this mode, you can enhance detail recognition and clearly observe the smoothness, fine lines and wrinkles of the skin. Enhance the display clarity of fine lines and wrinkles, making skin texture easier to distinguish and convenient for AI algorithm calculation.

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Cross-polarized Light

The cross-polarized light mode uses a special cross-polarized lens set to effectively directly reflect light, allowing us to clearly observe the microvascular structure hidden under the skin and the bright skin. The characteristics of sensitive skin are more obvious and can reveal irregular skin features.

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Blue Light

With a wavelength of 405nm, blue light can harmlessly penetrate the skin under the UV blue light filter. Skin cells and tissues have the natural ability to convert invisible light into visible fluorescence, effectively making the skin a luminous body. Since the light is generated by the skin, rather than a general projection effect. Therefore, sebum secretion, deep acne, porphyrin and bacterial flora distribution can be clearly seen.

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UltraViolet Light

The wavelength is 365nm. When ultraviolet light is irradiated under a filter, invisible light can penetrate to the surface of the skin. It is mainly used to observe skin characteristics such as pigmentation, signs of acne, deep pigmentation, and deep pigmentation caused by ultraviolet light exposure.

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Wu’s Light (*Not in model O1)

The clinical effect of Wood’s light lies in its special Wu’s pattern of skin reaction, which is used to observe subcutaneous blood vessels and pigment lesions caused by ultraviolet radiation, such as brown spots, erythema, etc., and reveal potential dangers such as chloasma, acne, spider endothelial cell hyperplasia caused by them. Strong light irradiation of fluorescent agents and chemicals will produce strong fluorescence and chemical residual reflection, thereby identifying whether skin care products contain fluorescent agents.

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Composite Light/Red Pigment Map

By combining composite spectrum with AI algorithm, we can obtain the red pigment map. The red area is magnified dozens of times, which can more intuitively show the distribution of cells in the blood circulation. Sensitive reactions, red blood streaks, deep inflammation, etc., the characteristics of sensitive skin are more obvious.

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Composite Image/Thermal Map

The thermal map generated by the composite spectrum and AI algorithm is mainly for the sensitive reaction of the skin. The sensitive area refers to the area with high hemoglobin content. Usually, in a certain area of the skin or other lesions, the hemoglobin content in the area will increase, and the sensitive area can be clearly seen to have obvious redness.

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Synthetic Light/Brown Spectrum

The Brown Map is generated by synthetic spectra and artificial intelligence algorithms. Wood’s generated RBX image analysis technology clearly shows the distribution and deposition of melanin in the skin dermis and analyzes the range of pigmentation caused by melanin (e.g., agglomeration, irregularity, larger slices, acne marks, spots, scars, etc.).