The facial skin analyzer machine uses advanced imaging and diagnostic technologies to capture fine details on the surface of the skin.
It then analyzes this data and applies machine learning algorithms to assess skin health, including skin texture, pigmentation, wrinkles, pore size, and more.
Core technologies
RGB
It is mainly used to capture the natural color, texture details and visibility of pores of facial skin, providing intuitive data for a
comprehensive understanding of the basic state of the skin.
• Ultraviolet imaging technology
This technology can detect damage to the skin caused by sunlight that is difficult to detect with the naked eye, including abnormal pigmentation and potential spots, which helps to detect potential skin problems at an early stage.
• Polarized light (PL)
This technology can highlight the state of facial blood vessels, such as whether there are redness, sensitivity symptoms, or abnormal conditions such as capillary dilation, providing key information for judging skin health.
• 3D facial scanning technology
Accurately reconstruct facial contours, and then conduct in-depth analysis of facial symmetry, volume distribution, and lifting effects, providing a scientific basis for facial aesthetic evaluation.
• Artificial intelligence and cloud data technology
Relying on advanced software systems, the analysis results are compared and analyzed with a huge dermatology database to give professional skin scores and provide personalized treatment suggestions for different skin problems to achieve precise skin care.