The intelligent skin analyzer adopts Al face recognition technology and 8-spectrum imaging technology to comprehensively upgrade and intelligently analyze skin problems. Combined with hundreds of thousands of annotation data, it can accurately identify skin problems such as sensitive skin, so as to remind customers to pay attention and provide targeted care suggestions. Through cloud computing to analyze data more accurately and quickly, cloud storage permanently saves files for easy tracking and retrieval of nursing results and progress at any time.     Application of skin analyzer 1. Skin Irregularities: Skin irregularities that appear on the surface of the skin – freckles, visible sun damage, capillaries, or vascular irritation. 2. Wrinkles: A result of the aging process and are most common around the eyes and mouth. Use the Age Defense line and Fabulous Eye Cream to support collagen and elastin production. 3. Texture: High and low points of the skin. blue points show skin indentations; the yellow areas are raised points. 4. Pores: Small openings dispersed throughout the skin. Use Gel Cleansers and Peels to minimize appearance. 5. UV Spots: Sun damage and spots on the surface and in the deep layers of the skin. 6. Skin Discolorations: Skin discolorations including shadowing under the eyes, moles, hyperpigmentation, and overall tone. 7. Vascular Areas: Redness caused by broken capillaries, inflammation, or the aftermath of breakouts. 8. P-Bacteria and Oil: Porphyrins (natural bacteria on the skin) can become impacted in the pores and can cause breakouts.   Advantages of eight-spectrum smart skin detector:   1. Six major technical support. 2. Eight spectrum imaging (RGB white light, positive polarization, negative polarization, UV365, Wu's light, blue light 405, red light, zong light, comprehensive analysis of skin 14 items of skin indicators) 3. Cloud computing and cloud storage 4. AI automatic face recognition (using artificial intelligence and face recognition algorithms to accurately identify the O area, T area, and U area, the data is more accurate and efficient) 5. 28 million high-definition pixels (clearer image, more accurate recognition, more accurate analysis) 6. Deep self-learning (comprehensive large database annotation, accurately identify and analyze various skin problems) 7. 3D simulation technology (3D simulation accurately recognizes facial features and quantitatively analyzes four major problem skins) A high-tech smart skin management system with deep learning technology