Medical Hair Scalp Analysis Machine
The first developed Hair scalp Analysis machine hair artificial intelligence algorithm module, AI intelligently analyzes hair follicles, hair, scalp texture, and gray hair question.
Microscopic Scalp Analysis Applicable Scenarios
- Hospital Dermatology Department
- Hair Transplant Institutions
- Scalp Management center
*16 million pixel detection lens
* 4 types of magnification lenses. Switch the magnification lens for inspection according to different needs.
* The focal length can be adjusted according to customer needs
* Blue light disinfection button
* Touch button
* Multiple fixed switch
Scalp Camera Analysis Trispectral imaging technology
AI intelligent analysis quantifies the surface and deep damage issues of hair follicles, hair, and scalp. Make scalp problems nowhere to hide.
White Light
Under natural light, use multi-directional diffuse light to evenly illuminate the scalp without shadows or sharp lines. Can detect problems on the surface of the scalp: stratum corneum, scalp skin type, hair follicles, and oil.
Cross Polarized Light
By using a special cross polarizer group, direct reflected light can be effectively reduced. Enable us to clearly observe the hidden microvascular structures beneath the epidermis and observe the sensitivity of the scalp.
UV Light
Under the illumination of a 365nm wavelength light source, invisible light is transmitted to the epidermal layer of the scalp, mainly used to observe the secretion of sebum and the distribution of bacteria, which can be clearly seen.
10X 50X 100X 200X skin diagnosis hair analyzer
Scalp Camera Analysis
Multi-dimensional quantification of 12 scalp indicators: AI quantifies damage to the surface and deep layers of the scalp
- Grease 2. Skin Tone 3. Dandruff
- Porphyrin 5. Texture 6. Sensitivity
- Heat Map 8. Hair Texture 9. Inflammatory
- Traumatic 11. Hair Follicle 12. Redness
Skin And Hair Analyser Gray Hair Detection
Use 50x magnification to detect the severity of gray hair. Through the AI deep learning method and the self-trained model, it is possible to extract hair of different colors at the pixel level. It is the first white hair separation map in China and conducts quantitative analysis of white hair based on the extraction results.
