A5 - Skin Analyzers

A5 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 seventeen problems of facial skin with flexible operations. The original intention of the research and development is to take photos and analyze reports with just one click, making it more convenient to operate.

Mastering the A5 AI Intelligent Imager: A Step-by-Step Video Guide

Unlock the full potential of the A5 AI Intelligent Imager with our expert-led video tutorials. Designed for precision skin analysis, this innovative device integrates eight spectral imaging technologies to detect 17 facial skin concerns with ease. Whether you’re learning about 3D shooting, multiple skin testing modes, or cloud data storage, our tutorials will walk you through every feature to ensure seamless operation. Watch, learn, and elevate your skincare expertise today!
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01

Function Demo

3D Shooting

Two Skin Testing Modes

Seventeen Testing Indicators

split-screen

Three Comparative Analysis Modes

Three Reporting Modes

Eight Spectral Imaging

Cloud Data Storage

database_system [#1800]Created with Sketch.

Customer File Management

Adjusting Skin Test Results

Backend System Management

3D Shooting

Front Face

Left Face

Right Face

Four Skin Tones

  • Yellow Skin
  • White Skin
  • Dark Skin
  • Brown Skin

Eight Spectral Images

  • White light
  • Positive polarized light
  • Negative polarized light
  • Wood’s light
  • UV light
  • Brown light
  • Red light
  • Mix light

Seventeen Testing Indicators

  • Hydration
  • Pore
  • Blackhead
  • Lipid
  • Sensitivity
  • Acne
  • Wrinkle
  • Mixed spot
  • Superficial pigment
  • Porphyrin
  • Collagen
  • Fluorescent agent
  • Deep pigment
  • Brown pigment
  • Sensitive thermogram
  • Pigment thermogram
  • Sensitive rubein map

Three comparison modes

Parallel Comparison

Vertical Comparison

Multinomial Contrast

Single independent reporting

Multidimensional Perspective

Multi-angle comprehensive image display
Skin dynamic state assessment shows that there are three states in total (poor skin quality is poor, warning skin quality is average, good skin condition is normal) as shown in the figure.

State Assessment

Poor (purple)

Warning (yellow)

Good (green)

Three reporting modes-Single independent report

Symptom Description

Case Presentation

Product Recommendation

A list of relevant cases corresponding to skin problems

Three reporting modes - Comprehensive analysis report

Emergency Analysis
Priority display of urgent skin problems, skin dynamic status assessment display.
Rank Analysis
Comprehensive dynamic display of all analysis results. (Purple for poor, yellow for warning, green for good.)
Focus Analysis
Intelligent will be more serious skin problems in the front, 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.

Innovative self-editing reports

  • The background automatically selects the image to be edited for annotation
  • Customize any test results you want
  • You can debug results for each indicator
  • Free copy editing

Manual optimization of detection projects

  • Data result optimization manual debugging
  • Single value adjustment

Hidden detection project settings

Personalized customization

Flexible and selective according to user care project needs, hiding analysis categories that are not required by individual clients.

Single Item Hiding

Overall Hiding

Cloud storage file management

File Management

Profile

  • Cloud Storage
  • One click search
  • Number of skin tests

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

03

Eight Spectral Image Analysis

White light

Theory

Visible spots and other blemishes on the skin surface (acne,spots,wrinkles, pores, etc.) under natural light sources, which are mainly used as the basis for other spectral image comparison.

Acne

Dark spots

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, Acne scars,
Acne, etc).

Wrinkle

Pore

Acne scars

Acne

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

Dark spots

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.

Spots

Spots

Fluoresce nce

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

Fluoresce nce

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

Freckles

Red light

Theory

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

Acne

Blood streak

Mole

Mixed light

Theory

Skin texture roughness and collagen loss were revealed by polarizing analysis.

Rough texture

Wrinkle

04

17 Items Indicators

17 Indicators - Moisture Test Report 1

Status Assessment

Moisture assessment

Care Suggestions

Skin hydration care tips

17 Indicators - Moisture Test Report 2

Care Suggestions
Description of nursing method
Moisture Shortage Cases
Moisture shortage case diagram display
Recommended Program
Intuitive recommendation of nursing projects & products

17 Indicators

01 - Sebum/Oil

Image Analysis

  • The oil secretion of the skin surface can be checked under positive polarized light source.
  • The algorithm displays areas of the skin with active oil secretion through yellow fluorescence, allowing a clearer and more intuitive view of the oil distribution on the facial skin.
  • Excess oil is one of the factors that trigger acne growth, so please take good oil control care if you have acne.

02 - Pores

Image Analysis

  • Under negative polarized light source, it is possible to check if enlarged pores have formed on the skin surface.
  • The algorithm uses RBX technology to display areas with enlarged pores in the skin by deepening the color of the pores; it can more clearly and intuitively see areas with enlarged pores in the facial skin.
  • Pore clogging refers to the pores on the surface of the skin being blocked, which prevents sebum from being discharged normally, accompanied by the accumulation of stratum corneum and dirt. This phenomenon usually manifests itself in the form of blackheads, whiteheads or acne, and in severe cases may lead to skin problems such as acne and folliculitis.

03 - Blackheads

Image Analysis

  • Under negative polarized light source, you can see blackheads formed by pores clogged by oil in the T-zone.
  • The algorithm uses RBX technology to highlight the blackheads in the T-zone by deepening their color; the distribution of blackheads in the nose area can be seen more clearly and intuitively.
  • Blackheads are formed by excess oil accumulation in the nose area of the skin and air oxidation. Areas with large pores are more likely to accumulate and store oil and dust in the air, so it is necessary to
    clean and moisturize in time to reduce the formation of large pores.

04 - Superficial Pigment

Image Analysis

  • Superficial pigmentation refers to pigmentation that has formed on the superficial layer of the skin, including: acne scars, spots, inflammatory pigmentation, etc.
  • The coverage of pigmentation may exist in both deep and shallow layers. You can compare the image with the deep pigment image. If the shallow layer shows pigmentation but the deep layer shows no pigmentation, it means that the pigment is only deposited in the superficial layer of the skin.
  • To determine the type of stains, please refer to the reference cases below the report for comparison and identification.

05 - Superficial Pigment

Identification

  • The purple area is where the algorithm identifies the facial complex pigmentation area and marks it with a polygonal curve.
  • The algorithm will avoid the eye and lip areas to reduce the interference of eyelashes and lip hair.
  • Provide reference pictures of different types of spots, and identify the text descriptions of different types of spots by looking at the pictures.

06 - Mixed Spots

Image Analysis

  • Under negative polarized light, we can see the distribution of mixed spots on the skin surface. The algorithm identifies the facial complex spot area and marks it with a brown block.
  • The mixed spot map shows skin pigmentation such as melasma, age spots, and freckles. Melasma is a darker patch on the skin that can appear brown, black, or dark brown. Melasma may expand over time, especially if daily sun protection and skin care are not taken care of. Some melasma may be slightly raised and feel slightly convex to the touch.

07 - Acne

Image Analysis

  • Look at the distribution of skin acne and superficial redness under negative polarized light.
  • When pores are clogged with oil and dust, it is easy to fester or form inflammation, which will then turn into acne and acne.
  • The algorithm identifies the distribution area of facial acne and marks it with purple circles. The more the number and the more obvious the redness of the skin, the more serious the skin acne problem is, and the skin needs to be oil controlled to unclog the pores and eliminate inflammation.

08 - The Barrier

Image Analysis

  • We can check the skin barrier health under negative polarized light source.
  • The barrier image shows the skin redness problem and the distribution of red blood streaks. The formation of red blood streaks is mainly due to the damage of keratin, the weakness of the epidermis, and the long-term damage of the capillary position, which leads to vascular dilation and congestion.
  • The red area indicates that the skin barrier is damaged, which can be used as a reference for judging the skin sensitivity and inflammation area.

09 - Wrinkle

Image Analysis

  •  The texture of the skin surface can be viewed under a positive polarized light source.
  • The wrinkle image shows the roughness of the skin texture, such as large pores, dry lines, fine lines, and wrinkles. It can be used as a reference for judging the fineness of the skin and the loss of collagen.
  • The algorithm identifies the lines on the facial skin and marks the distribution of wrinkles on the skin with short green lines. The more intermittent lines, the rougher the skin.

10 - Porphyrin

Image Analysis

  • The brick red fluorescent spots in the picture are Propioni bacterium acnes and Malassezia. These two bacteria will aggravate the occurrence of skin acne, so they can be used as a basis for judging skin acne.
  • The living environment of Propionibacterium acnes and Malassezia must have oil, so they can be used as a basis for judging the accumulation of oil in skin pores.

11 - Deep Pigment

Image Analysis

  • The green color of the whole face in the picture is Wood’s light, and the color is not analyzed for problems.
  • The purple area is the facial comprehensive spot area identified by the algorithm and marked with a polygonal curve.
  • The dark (black, brown) block or dot skin that appears on the face is a display of skin pigmentation (such as: melasma, freckles, malar spots, inflammatory pigmentation, acne marks, hemoglobin aggregation, etc.).
  • The pigmentation in the deep layer of the skin can be compared with the sensitivity to determine whether it is an inflammatory hemoglobin accumulation or a spot problem.

12 - Brown Pigment

Image Analysis

  • The depth of the overall brown color of the skin is mainly related to the skin color. People with darker skin or more hemoglobin have darker overall pigmentation.
  • The areas with heavier pigmentation in the image are mostly those with higher pigment concentration density.
  • This picture can be compared with the deep pigmentation of the Wood’s light for reference.

13 - Pigment heat map

Image Analysis

  • Pigment heat map can check the distribution of pigment deep in the skin.
  • The algorithm identifies the distribution of pigments on the face and presents it in the form of a heat map. Different colors are used to represent the distribution of spots, moles, and scars visible to the naked eye under negative polarized light. Red indicates severe skin pigmentation, yellow for medium, green for lighter skin, and blue for normal skin.
  • Pigment production mechanism: The body’s own regulation, physical or chemical factors stimulate melanocytes, increasing their number and enhancing their activity. The melanin produced cannot be completely excreted with the stratum corneum and
    blood circulation, and eventually deposits in the local skin.

14 - Sensitive red pigment map

Image Analysis

  • Under negative polarized light source, we can check the redness of the superficial layer of the skin and the distribution of red blood vessels.
  • Clear distribution of red blood vessels in polarized light indicates that the skin has thin cuticle and is sensitive, requiring proper protection and care.
  • The depth of the hemoglobin base color is related to the overall skin color. People with less hemoglobin will have a lighter color.
  • Areas with more concentrated red represent areas where skin hemoglobin accumulation is more concentrated, which can be used as a reference for judging skin sensitivity and inflammation areas.

15 - Sensitive heatmap

Image Analysis

  • The “sensitive heatmap” represents skin sensitivity. When the skin shows significant redness and thinning of the stratum corneum, it becomes more susceptible to external stimuli and damage, leading to issues such as dryness, sensitivity, and redness.
  • The sensitive heatmap is based on the distribution of subcutaneous capillaries, with areas of greater sensitivity having more capillaries. Visible redness and acne on negative polarized light images indicate areas of severe sensitivity.
  • The algorithm uses different colors to indicate varying degrees of sensitivity and their distribution on the skin. Areas with severe sensitivity are shown in deep red, including the lips; medium sensitivity is represented in yellow, mild sensitivity in green, and normal skin appears in blue.

16 - Fluorescent dye

Image Analysis

  • Fluorescent dyes and pigments might both appear in facial imaging. To assess the fluorescent dye, focus specifically on the fluorescence response.
  • The difference between fluorescent dyes and porphyrins is as follows: Porphyrins exhibit brick-red fluorescent spots, while fluorescent dyes display intense blue light and usually appear as large, sheet-like areas.
  • The difference between fluorescent dyes and facial
  • dust is as follows: Facial dust appears as white, bright, floating, and short, wispy lines on the surface, while fluorescent dyes typically display bright colors and are often more diffuse or spread over larger areas.

17 - Collagen

Image Analysis

  • Under polarized light, we can assess the loss of collagen on the skin’s surface.
  • Mixed light images reveal skin texture issues such as enlarged pores, dry lines, fine lines, and wrinkles. They serve as a reference for evaluating skin smoothness an collagen loss.
  • In mixed light images, a higher number of discontinuous lines indicates rougher skin texture and more severe collagen loss.
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