AI Skin Tester-Max Version 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, cloudcomputing/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.























Yes, we have. A 12-month warranty on the host machine is provided. Additionally, a 3-month free replacement warranty for handles, treatment heads, and spare parts is included.
We have a professional technology support team for your timely service. You can receive help immediately through communication channels. If the machine experiences any issues, the best service and solutions will be promptly offered.
All of our machines hold CE certification which ensures quality, performance, and safety. Our production is under a strict quality management system to guarantee high reliability, minimizing potential operation issues.
Yes, we provide a complete user manual and usage video for detailed guidance and application tips. Our online consultant service ensures that whatever problem you meet, it can be resolved easily. The machine is designed to be easily operated by anyone following the instructions.
We offer a competitive price backed by strong research and development capabilities, boasting over 12 years of experience in producing beauty machines. Benefits include a solid warranty, responsive online after-sales support, official CE Certification for legal use/sale, and diverse custom options including OEM & ODM capabilities.
The tester utilizes 8 specialized light sources (white, positive polarized, negative polarized, UV, blue, Wu's, brown, and red light) to perform quantitative analysis. By adopting spectral imaging, AI facial recognition, deep learning, 3D skin simulation, and cloud computing, it comprehensively detects 14 key indicators for skin health.