Lumsail BS-M9 Magic Mirror Facial Skin Analyzer with Built-in Software

Lumsail BS-M9 Facial Skin Analyzer with Built-in Software The Lumsail BS-M9 Facial Skin Analyzer is a sophisticated magic mirror system that accurately diagnoses a wide range of facial skin problems, including spots, pores, pigmentation, wrinkles, acne, and UV damage. It provides comprehensive analysis of the client’s skin condition and offers personalized medical suggestions. The system also allows for a before-and-after comparison of client face images to evaluate the effectiveness of skincare treatments. With its intelligent platform, automatic face recognition technology, and efficient analysis capabilities, the BS-M9 is a trusted solution in the field of professional skin analysis. BS-M9 Facial Skin Analyzer Features: Intelligent platform system for enhanced convenience Utilizes RGB UV PL spectrums for precise scanning in normal polarized and UV lighting Automatic face recognition technology for accurate analysis Accurately analyzes 10 skin problems from both the epidermis and dermis Predicts skin aging and offers insights into skin condition over the next 3-5 years Wi-Fi transfer and database management for seamless data storage and access Utilizes a vast clinical database, combining large data, artificial intelligence, and image analysis for rapid and accurate results in just 20 seconds Automatic advertising display on the home screen for promotional purposes BS-M9 Facial Skin Analyzer Advantages: Provides comprehensive analysis of various facial skin problems Personalized medical suggestions for clients Before-and-after comparison of client face images for evaluating skincare effectiveness Intelligent and convenient platform system Efficient analysis with rapid results Promotes efficient database management BS-M9 Facial Skin Analyzer Applications: Spot detection and analysis Pore assessment Pigmentation evaluation Wrinkle analysis Acne diagnosis UV damage assessment 请在浏览器中启用JavaScript来完成此表单。Name *Mobile (whatsapp) *Email *Inquiry ContentInquiry