A3 AI intelligent imager: With a research and development focus on solving skin problems, it integrates eight spectral imaging technologies and can professionally and objectively analyze fifteen skin problems LEAD TECHNOLOGY CREATE BEAUTY through flexible operations. The original intention of the research and development is to take photos and generate analyze reports with just oneclick, making it more convenient to operate.
A3 AI Intelligent Imager: Your Ultimate Video Guide for Skin Analysis
Discover how to maximize the power of the A3 AI Intelligent Imager with our in-depth video tutorials. This advanced skin analysis device integrates eight spectral imaging technologies to detect 15 key skin conditions with precision. Our step-by-step guides cover everything from 3D shooting and microscopic skin detection to customized reports and cloud data storage. Whether you’re a beginner or a professional, these tutorials will help you harness the full potential of the A3 Imager for accurate and effortless skincare analysis.
Watch Now
- Function Demo
- Parameters
- Eight Spectrum Image Analysis
- 15 Items Indicators
- Microspcopic Detection Skin Details
01
Function Demo
3D Shooting
Two Skin Testing Modes
Fifteen Testing Indicators
Three Comparative Analysis Modes
Three Reporting Modes
Eight Spectral Imaging
Cloud Data Storage
Customer File Management
Adjusting Skin Test Results
Backend System Management
3D Shooting
Positive Face
Left Face
Right Face
Two Skin Testing Modes
- White light
- Positive polarized light
- Negative polarized light
- Wood’s light
- UV light
- Brown light
- Red light
- Mixed light
Fifteen Testing Indicators
- Hydration
- Pore
- Blackhead
- Porphyrin
- Pimple
- Acne
- Texture
- Roughness
- Lipid
- Sensitivity
- Red Blood Vessel
- Superficial pigment
- Deep pigment
- Brown pigment
- Fluorescent agent
Two Skin Testing Modes
Local area detection, microscopic image presentation

Handheld skin microimager
Multiple light source targeting analysis

Positively polarized light

Negative polarized light

Wood’s light

Positively polarized light

Negative polarized light

Wood’s light
Three comparison modes
Horizontal Comparison
Vertical Comparison
Multinomial Contrast
Three reporting Modes
Single independent reporting 1
Multinomial Comparison
Two spectra were compared simultaneously
Multidimensional Perspective
Multi-angle image display comprehensive
Microscopic image
Skin detail problem, microscopic image presentation
State Assessment
Dynamic Skin condition shows that there are 3 states in total (poor means poor skin quality, warning means average skin quality, good means good skin condition) as picture showed:
Poor (purple)
Warning (yellow)
Good (green)
Three reporting modes - Single independent report 1
Symptom Description
Case Presentation
Effect Display
Product Recommendation
Recommend the relevant nursing plan and show after-treatment effect
Three reporting modes - Comprehensive analysis report 2
Print Report
Print PDF report
Download Report
Scan QR code to get the report by phone
Emergency Analysis
Priority display of urgent skin problems, dynamic skin condition display
Rank Analysis
Analysis results are displayed comprehensively and dynamically(Purple is poor, yellow is warning, and green is good
Focus Analysis
The more serious skin problems will be displayed priority, click on the image to enlarge the focus
Download Report
Scan the phone code to get the report
Single Report
Text report of a single detection item, click on the level analysis of different detection items, the single report of this part can be updated in real time.
Three reporting - Comprehensive analysis report 2
- According to requirements, selecting related image to annotate in the background system
- Customize test result as per your requirement
- Each indicator can be debugged
- Editing contents freely
Optimizing Detection Projects Manually
- Data result optimization Manual debugging
- Single data adjustment
Hiding Setting for Detection Project
Individual customization
According to customer’s Nursing project needs, hiding analysis project if no needed
Single Item Hiding
Bulk Hiding
Cloud storage file management
File Management
Personal File
- Cloud Storage
- One click search
- Counting skin tests times
Backend management
Recording Nursing project freely
Unified management of multiple equipments
Customer profile management in Real-time
Review And edit Detection Record in Real-time
02
Parameters
Hardware parameters
Device Name | A3-Al Intelligent Image Instrument | |
---|---|---|
Model | ZMLH-A3 | |
Pixel | Industrial grade 36 Million pixel | |
Spectrum | RGB white light, Positive polarized light, Negative polarized light, Wood’s light, UV light, Red light, Brown light, Mixed light | |
Shading Metdod | Semi-open | |
Product Material | Industrial Grade ABS | |
Power Supply | AC 100-260V, 50/60Hz | |
Product Dimensions | Unfolded: 600 × 415 × 504mm Folded: 309 × 415 × 504mm | |
Central Processing | Rockchip RK3566; Quad-core Cortex-A55 | |
Motderboard | R10-s 6810p Motderboard, running Android 11 system | |
Main Memory | Dual-channel LP DD R4, 4G | |
Storage | MMC 5.1, 32G |
Device Name | A3-Al Intelligent Image Instrument | |
---|---|---|
Operating Metdod | Multi-point capacitive touch | |
Screen Features | Foldable 90 degrees | |
WiFi | Built-in dual-band WiFi (2.4G, 5G) | |
HDMI | 1 port (optional) | |
USB | 2 ports | |
Screen Ratio | 16:9 | |
Screen Size | 15.6 inches | |
Screen Resolution | 1920×1080 | |
Net Weight | 11.8KG | |
Gross Weight | 16.6KG | |
Packaging Dimensions | 595*540*620mm | |
Packaging Material | Corrugated paper + pearl cotton | |
Otder Accessories | Handheld skin analyzer, power cord |
03
Eight Spectral Image Analysis
White light
Theory
Visible spots and other blemishes on the skin surface (acne, stains, wrinkles, pores, etc.) under natural light sources, which are mainly used as the basis for other spectral image comparison.

Acne

Stain

Wrinkle

Pore
Positive polarized light
Theory
Positive polarized light can improve the clarity of superfacial texture, magnify local details, so as to clearly observe the smoothness of skin, fine lines and wrinkles and bumps (wrinkles, pores, potholes, pimples, etc).

Wrinkle

Pore

Pathole

Pimple
Negative polarized light
Theory
Using negative polarized technology to filter out the refracted light on the skin surface, so that you can clearly examine the light brown, tan, dark brown, light yellow or dark red skin lesions; It can distinguish the condition of capillaries, facial acne, uniformity skin and other skin problems.

Stain

Pigment

Acne
Wood’s light
Theory
Wood’s light can detect deep pigments in dermis. The principle behind this is that melanin does not fluoresce after exposure to ultraviolet radiation, allowing melanin to stand out more clearly with stronger contrast.

Fleck

Fleck

Fleck

Fluorescence
UV light
Theory
Under UV light source, the content and distribution of the purple pigment bilirubin are displayed clearly through fluorescence, which can be used for the auxiliary diagnosis and efficacy observation of pigmentary dermatoses, pore issues, skin infections, and porphyria.

Porphyrin

Fluorescence
Brown light
Theory
The position, area, shape, and severity of subcutaneous facial UV spots are processed by using RBX light source technology, which demonstrate skin damage from UV radiation and the accumulation of subcutaneous melanin.

Mole

Lentigo
Red light
Theory
Used to analyze subcutaneous hemoglobin and inflammatory pigment deposition on the face, such as sensitivity, skin lesions, acne, erythema, etc.

Pimple

Blood streak

Mole
Mixed light
Theory
Skin texture roughness and collagen loss were revealed by polarizing analysis.

Rough texture

Wrinkle
04
15 Detection & Analysis Indicators
1 Indicators - Moisture Test Report 1
Regional moisture detection
Facial moisture were detected by partition
Comprehensive calculation
Calculate the water content comprehensively
Skin Condition Evaluation
Water shortage Evaluation
Harzard analysis
The harzards of dehydration
17 Indicators - Moisture Test Report 2
Dyhydration Case
Dyhydration Case
Recommended Scheme
Nursing method description
Recommended Scheme
Nursing care recommendations (products)
15 Testing Indicators
01 - Superficial pigment
Image Analysis
- The image displays pigment deposition formed in the superficial layers of the skin, including acne scars, pigmentation, and inflammatory pigmentation.
- Pigment may exist in both deep and superficial layers of the skin. This image can be compared with a deep pigment image. If pigment is present in the superficial layer but not in the deep layer, it indicates that the pigment is only deposited in the superficial layer of the skin.
- Please refer to the examples below the report to determine the type of pigmentation.
02 - Superficial pigment
Recognize
- Algorithm identifies the integrated facial spots and marks them with polygonal curves.
- Algorithm recognize will avoid the eye and lip areas to reduce eyelashes and lip hair interference.
- Provide different type of pigment pictures and text, to identify different types of pigment.
03 - Deep pigment
Image Analysis
- Picture shows blue marks, which is generated through Wood’s light, and the blue color is not used for analysis.
- Dark (black, brown) patches or spots on the face, showing skin pigmentation (such as melasma, freckles, cheekbone plaques, inflammatory pigmentation, acne marks, heme aggregation, etc.).
- Please compare the deep pigmentation picture with sensitivity picture to distinguish whether it is an inflammatory heme buildup or a stain problem
04 - Fluorescent agent
Image Analysis
- Fluorescent agent and pigment problems may appear in the face image at the same time, to see the fluorescent agent only need to look at the fluorescence reaction.
- The difference between the fluorescent agent and the porphyrin is that the porphyrin shows brick red fluorescent spots, and the fluorescent agent shows high blue light and is mostly large-area flake.
- The difference between the fluorescent agent and the facial dust is that the facial dust presents a white light and floats on the surface.
05 - Brown patch
Image Analysis
- The brown color of the skin is mainly related to skin tone, and people with darker skin tone or more hemoglobin have darker pigment.
- Darker pigmentation area generally corresponds to higher pigment density.
- This picture can be compared with Wood’s picture to recognize deep pigment.
06 - Porphyrin Acne
Image Analysis
- The red fluorescent spots showed in the picture are propionic bacterium acnes and Malazzia. Propioni bacterium acnes and Malassezia are two types of bacteria that can exacerbate the formation of acne on the skin. Therefore, they can serve as indicators for diagnosing skin acne.
- The survival environment of Propioni bacterium acnes and Malassezia in acne requires the presence of sebum. Therefore, they can serve as indicators of sebum accumulation in skin pores.
07 - Oil Acne
Image Analysis
- Negative Polarized light is used to observe the distribution of acne on the skin as well as the superficial redness condition.
- The sebum map shows the distribution of yellow fluorescence, with areas of yellow fluorescence indicating the current surface oiliness of the skin.
- Excess sebum is one of the factors that trigger acne growth. Therefore, please take care to control oiliness, especially in cases of acne.
08 - Large pores -Blackheads
Image Analysis
- In a positive polarized light source, you can observe the situation where pores have already enlarged on the skin surface, contrasting it with black images for comparison.
- In black images, areas of enlarged pores in the skin are processed using RBX technology to present a stronger contrast with smoother areas, allowing for a clearer and more intuitive view of the areas where pores have enlarged on the facial skin.
- Blackheads form in the skin’s nasal area due to excess accumulation of sebum and air oxidation. Regions with enlarged pores are more prone to accumulate sebum and dust from the air. Therefore, timely cleansing and moisturizing are essential to reduce the formation of enlarged pores.
09 - Sensitive Red blood
Image Analysis
- In a negative polarized light source, we can observe the redness condition of the superficial skin as well as the distribution of blood vessels.
- The obvious distribution of telangiectasia in the polarized light source means that the skin is thin and sensitive and need proper nursing care.
- The depth of the red background in the red images is related to the overall skin tone, individuals having lower levels of hemoglobin appearing lighter red background.
- The areas with more concentrated redness indicate accumulation of hemoglobin in the skin, and these concentrated areas can serve as reference points for assessing the sensitivity of the skin and the presence of inflammation.
10 - Texture roughness
Image Analysis
- In a positive polarized light source, we can observe the texture condition of the skin surface.
- The mixed light image presents the condition of rough skin texture, such as enlarged pores, fine lines, and wrinkles, which can serve as reference for assessing skin smoothness and collagen loss.
- The more discontinuous lines in the mixed light image, the rougher the skin texture.
05
Microspcopic Detection Skin Details
Microscopic Detection - Skin Details
Each individual report window enters
- Multiple indicators can be detected through Microscopic detection
- Allow real-time viewing of the skin problems, to reduce the cumbersome steps of page navigation
Microscopic Detection - Skin Details
- Part marking: Convenient for labeling
- Local microscopic display
Handheld skin microimager
Multiple light sources detect skin problems