AI-Powered Skin Analysis Redefined
The VM4-01A AI Intelligent Skin Tester combines 8-spectrum imaging, 20 skin indicators, and smart reporting powered by artificial intelligence. Deliver fast, accurate, and personalized skin analysis for clinics, salons, and skincare brands—raising your consultation experience to the next level.
Al Intelligent Skin Tester—VM4-01A
A6 Al Intelligent lmager: With a research and development focus on solving skin problems, it integrates eight spectralimaging technologies and can profes sionally and objectively analyze seventeen problems of facial skin with flexibleoperations. The original intention of the research and development is to take photos and analvze reports with just oneclick, making it more convenient to operate.
- Eight-spectrum imaging system
- 20 skin test indicators in one scan
- AI-powered analysis with skincare recommendations
- Multi-angle capture & before-after comparison
- Cloud-based report and client management
Technical Specifications
| Device Name | A6 - AI Intelligent Skin Tester |
| Model | ZMLH-A6 |
| Pixel Resolution | Industrial-grade 36 million pixels |
| Light Spectrum | RGB white, positive/negative polarized light, Wood’s light, UV, red, blue, mixed light |
| Light Shielding Type | Semi-enclosed |
| Material | Industrial-grade ABS |
| Power Supply | AC100–260V, 50/60Hz |
| Dimensions | 636 × 521 × 489 mm (Folded: 361 × 521 × 489 mm) |
| CPU | Rockchip RK3568 Quad-core Cortex-A55, up to 2.0GHz |
| Mainboard | R10-S6810 motherboard, Android 11 system |
| RAM | Dual-channel LPDDR4, 4GB |
| Storage | MMC5.1, 32GB |
Key Functional Highlights
Eight-spectrum imaging presentation
white light
linearly polarised light
negatively polarised light
Wood's Light
UV light
brown light
red light
mixed light
3D photography
front view
left side of the face
right cheek
four skin tones
Multi-source targeted analysis
Two skin measurement modes
Microscopic imaging of skin detail issues
white light
polarised light
Uv light
white light
polarised light
Uv light
Eight-spectrum image analysis
principle of white light
Under natural lighting, visible skin surface issues such as spots and other imperfections (acne, pigmentation, wrinkles, pores, etc.) are presented. This serves as the baseline for comparison with other images.
Principle of Parallel Polarized Light
Parallel polarized light enhances the clarity of skin surface texture imaging and magnifies local details, allowing clear observation of skin smoothness, fine lines and wrinkles, as well as surface irregularities (wrinkles, pores, acne scars, blackheads, etc.).
Principle of Cross Polarized Light
By using polarizing film technology to filter out surface reflection, cross polarized light allows clear observation of various skin lesion types such as light brown, yellowish brown, dark brown, pale yellow, or dark red. It is effective for identifying facial capillary morphology, acne conditions, and overall skin tone uniformity.
Principle of Wood's Light
Wood’s light can penetrate deep into the dermis to detect deeper pigmentation. Melanin does not fluoresce under ultraviolet light, making dark areas appear clearer with stronger contrast, thus revealing deep pigmentation issues in greater detail.
Principle of UA Light
Under UV light, fluorescence clearly reveals the presence and distribution of porphyrins, which can be used for assisting in the diagnosis and treatment monitoring of pigmentary skin disorders, pore issues, skin infections, and porphyria.
Principle of Brown Light
Using RBX light source technology, it reveals the location, area, shape, size, and clinical severity of subcutaneous UV spots on the face. It shows the damage caused by UV exposure and the accumulation of melanin beneath the skin.
Principle of Red Light
Used to analyze subcutaneous hemoglobin and inflammatory pigmentation on the face (such as sensitivity, skin lesions, acne, telangiectasia, and other inflammatory skin conditions).
Principle of Composite Light
Analyzes and displays skin texture roughness and collagen loss through polarized light processing.
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- +86 18971642327
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