captures the images of facial skin through industrial-grade high-definition effects with 8 light sources such as white light, positive polarized light, negative polarized light, UV light, blue light, Wu's light, brown light, and red light. It adopts the technologies of spectral imaging, AI face recognition, deep learning, 3D skin simulation, cloud computing/cloud storage to conduct the quantitative analysis on the pathological features of surficial and deep skin, and comprehensively detect 14 indicators for skin health. Comprehensive analysis and evaluation of skin problems provide reasonable evidences for scientific and accurate management of the skin.
1.Forehead (frontalis muscle, which may improve brow position).
2.Cheeks (zygomaticus major, zygomaticus minor, and risorius muscles, which may lead to jowl improvement, cheek lifting, and jawline refinement).