A3 - Skin Analyzers

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.
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01

Function Demo

3D Shooting

Two Skin Testing Modes

Fifteen Testing Indicators

split-screen

Three Comparative Analysis Modes

Three Reporting Modes

Eight Spectral Imaging

Cloud Data Storage

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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, microsc opic 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 NameA3-Al Intelligent Image Instrument
ModelZMLH-A3
PixelIndustrial grade 36 Million pixel
SpectrumRGB white light, Positive polarized light, Negative polarized light, Wood’s light, UV light, Red light, Brown light, Mixed light
Shading MetdodSemi-open
Product MaterialIndustrial Grade ABS
Power SupplyAC 100-260V, 50/60Hz
Product DimensionsUnfolded: 600 × 415 × 504mm
Folded: 309 × 415 × 504mm
Central ProcessingRockchip RK3566; Quad-core Cortex-A55
MotderboardR10-s 6810p Motderboard, running Android 11 system
Main MemoryDual-channel LP DD R4, 4G
StorageMMC 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

Microscopic Detection - Skin Details

Independent file management for Each category

Comparison display for the same area

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