RU2422081C2 - System, device and method of skin image - Google Patents

System, device and method of skin image Download PDF

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Publication number
RU2422081C2
RU2422081C2 RU2009124425/14A RU2009124425A RU2422081C2 RU 2422081 C2 RU2422081 C2 RU 2422081C2 RU 2009124425/14 A RU2009124425/14 A RU 2009124425/14A RU 2009124425 A RU2009124425 A RU 2009124425A RU 2422081 C2 RU2422081 C2 RU 2422081C2
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Russia
Prior art keywords
skin
light
user
image
device
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RU2009124425/14A
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Russian (ru)
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RU2009124425A (en
Inventor
Ядран БАНДИЧ (YU)
Ядран БАНДИЧ
Дьюро КОРУГА (YU)
Дьюро КОРУГА
Раул МЕХЕНДЭЙЛ (US)
Раул МЕХЕНДЭЙЛ
Сава МАРИНКОВИЧ (US)
Сава МАРИНКОВИЧ
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Майскин, Инк.
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Priority to US60/883,769 priority Critical
Priority to US88376907P priority
Priority to US88376407P priority
Priority to US60/883,764 priority
Priority to US60/883,768 priority
Priority to US11/970,448 priority patent/US20080194928A1/en
Application filed by Майскин, Инк. filed Critical Майскин, Инк.
Priority to US11/970,448 priority
Publication of RU2009124425A publication Critical patent/RU2009124425A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • A61B5/0088Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • A61B5/0091Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for mammography

Abstract

FIELD: medicine.
SUBSTANCE: invention relates to methods and devices for collection and analysis of skin state images. Device includes source of falling light, made with possibility to produce non-polarised and/or polarised light, optic means for detection of light reflected from skin or from other material surface, detector for detecting degree of polarisation of light, reflected from skin or from other material surface, and sensor for obtaining image of skin or other material surface. Method of device application lies in illumination of skin by source of falling light, filtration of light reflected from skin for obtaining polarised light with wavelength determined by outlet filter, detection of degree of polarisation of light, reflected from skin, and determination of skin state, based on aspect of reflected light polarisation.
EFFECT: application of invention makes it possible to extend assortment of means for skin state analysis.
17 cl, 15 dwg, 1 tbl

Description

Cross References Related to Applications

This application claims priority for the following provisional applications, each of which is set forth in its entirety by reference: US Patent Application No. 60/883769, filed January 5, 2007, “Algorithm for Facilitating Skin Examination”; US Patent Application No. 60/883764, filed January 5, 2007, "Remote skin examination"; and US Patent Application No. 60/883768, filed January 5, 2007, "Device for a home user for skin examination."

This application claims priority to the following application, which is set forth in its entirety by reference: US Patent Application No. 11/970448, filed January 7, 2008.

State of the art

Technical field

The invention relates to methods and apparatus enabling the collection of skin and non-skin images using a non-invasive image device, the development of a skin condition 158 based, at least in part, on the analysis of such images and the observation of a skin condition 158 by at least collecting and analysis of subsequent images.

Description of the prior art

The skin is the largest organ of the integumentary system, which additionally includes auxiliary structures of the skin, such as hair, nails, scales, down, sweat glands and their products. The skin contains many layers of epithelial tissues that protect the muscles and organs below them. Since the skin is the subject of a constant attack of various external and internal factors, it can be susceptible to various diseases. Thus, it is critical to monitor the healthy condition of the skin, the effectiveness of any treatments, skin care products or cosmetics used for the skin.

Although there are various methods for determining and monitoring skin health, the user first of all needs simple access to a dermatologist or dermatology products. Due to the lack of use in the treatment of skin diseases, there may be difficulties, inconvenience, and an excessively high cost in the availability of necessary resources. There is a need for a simple solution for determining skin health and for observation, which can be used by an untrained or trained user, in the absence of consultation during a personal visit to a doctor, when a skin image can be presented to an expert, in the simplicity of analysis or automated analysis.

SUMMARY OF THE INVENTION

In aspects of the invention, the image device allows the user to obtain greatly enlarged skin pictures in the area of the studied (anxiety) area and present these pictures additionally with text and digital answers for medical, non-medical and cosmetic analyzes, and for diagnosis and recommended treatment, etc.

In one aspect of the present invention, the method and system of a non-invasive image device may include a light source comprising an incident light source to direct light to the skin; and a detector for determining a level of polarization of light reflected from the skin. In the method and system, the light source may be positioned to direct light at a selected angle alpha. Different alpha angles can determine different depths of measurement of skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the method and system, the incident light source may be a source of unpolarized light. Unpolarized light may be white light selected with multiple wavelengths or with a single wavelength. The method and system may further comprise a sensor for fixing (recording) the image of the reflected light. The method and system may further comprise an optical means for detecting light reflected from the skin. The method and system may further comprise communication means for transmitting the detected information. The method and system may further comprise means for storing information collected by the device.

In one aspect of the present invention, a method and system for determining a skin condition may comprise illuminating the skin with an incident light source, detecting a level of polarization of light reflected from the skin, and determining a skin condition based on the polarization aspect of reflected light. In the method and system, incident light can be directed at a selected angle alpha. Different alpha angles can determine different depths of the measured skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the method and system, the incident light source may be a source of unpolarized light. Unpolarized light may be white light selected with multiple wavelengths or with a single wavelength. In the claimed method, the polarization aspect may be at least one of: orientation, amplitude, phase, angle, shape, degree, quantity, etc. In the method and system, the determination can be made using an algorithm. The algorithm may include artificial neural networks, fuzzy logic, fractal and multi-fractal analysis, etc. The method and system may further comprise filtering the reflected light to obtain polarized light of at least one wave determined by the output filter. Algorithmic analysis can be performed on a filtered image. In the method and system, the determination may involve creating an image due to differences between reflected diffused light and reflected polarized light. In the method and system, the determination may include comparing the polarization aspect of the reflected light with a calibrated signal. In the method and system, the determination may further comprise examining at least one of a user input and visual analysis.

In one aspect of the present invention, the non-invasive image device may include a light source including an incident light source to direct light to the area of concern, and a detector for determining the level of polarization of light reflected from the area of interest (concern). In the method and system, the light source may be positioned to direct light at a selected angle alpha. Different alpha angles can determine different depths of measurement of skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the method and system, the incident light source may be a source of unpolarized light. Unpolarized light may be white light selected with multiple wavelengths or with a single wavelength. The method and system may further comprise a sensor for capturing (capturing) the image of the reflected light. The method and system may further comprise an optical means for detecting light reflected from the skin. The method and system may further comprise communication means for transmitting the detected information. The method and system may further comprise means for storing information collected by the device.

In one aspect of the present invention, a method for determining moisture levels in a skin may comprise emitting incident light toward the skin structure, detecting a level (degree) of polarization and diffusion of light reflected by the skin structure, and determining a moisture level based on the amount of polarized and diffused reflected light. The method and system may further comprise combining an assessment of moisture level measurements with skin color to determine light brightness (illumination). In the method and system, the incident light may be unpolarized light. Unpolarized light may be white light selected with multiple wavelengths or with a single wavelength. In the method and system, the determination can be made using an algorithm. In the method and system, the determination of the humidity level can be based on the ratio of polarized and diffuse light.

In one aspect of the present invention, the method and system for determining skin elasticity may include emitting incident light toward the skin structure, detecting a polarization aspect of the light reflected by the skin structure, correlating (calculating) the polarization aspect with the elastin concentration, and determining an elasticity level based on the elastin concentration. In the method and system, the determination can be made using an algorithm. In the method and system, the incident light may be unpolarized light. Unpolarized light may be white light selected with multiple wavelengths or with a single wavelength.

In one aspect of the present invention, the method and system for determining the density (strength) of the skin can comprise emitting incident light towards the skin structure, detecting a polarization aspect of the light reflected by the skin structure, correlating the polarization aspect with the concentration of at least one of elastin, collagen and sebaceous gland activity, and density determination based on the concentration of at least one of elastin and collagen, and sebaceous gland activity. In the method and system, the activity of the sebaceous gland can be determined by at least one of: the number of glands, the percentage of open / closed glands and the level of contamination / filling. In a method and system, correlation may involve the use of an algorithm.

In one aspect of the present invention, the method and system for obtaining skin biophysical properties may include performing spectral analysis of image data obtained from the degree of polarization of the reflections of incident light from skin structures, where a characteristic feature is at least one of: structure, shape, concentration, amount , size, condition, and stage of at least one of: melanocyte, melanin, hemoglobin, porphyrin, keratin, carotene, collagen, elastin, sebaceous secretion, activity of the sebaceous glands h, pores (sweat and greasy secretion), moisture level, elasticity, brightness, density, fine and fine wrinkles, number of wrinkles and their level, pore size, percentage of open pores, skin elasticity, skin wrinkle tension, spots, skin color, psoriasis allergies, areas of redness, general skin disease or infection, swelling, sun erythema, rashes, scratches, blackheads, acne, insect bites, skin itching, bleeding, wounds, irritation, damage, pigmentation, color cast, tattoo, burn percentage / classification burn mole and (birthmark, nevus), aspect of pathological changes in the skin (structure, color, size / asymmetry), melanoma, dermal observable disorders, skin pathology, cellulitis, boils, blister, congenital dermal syndrome, (sub) skin fungal diseases, melasma, vascular conditions, rosacea, spider veins, texture, skin ulcers, wound healing, postoperative pathways, melanocytic lesions, non-melanocytic lesions, basal cell carcinoma, seborrheic keratosis, grease (oiliness), imp nails and / or nails, etc.

In one aspect of the present invention, a method and system for determining a skin condition may comprise receiving answers to a set of subjective questions regarding the skin, obtaining an objective skin analysis using a skin imaging device, and combining subjective and objective results using an algorithm to determine the skin condition.

In one aspect of the present invention, a system and method for providing skin care recommendations based on a skin condition and a skin care purpose may include obtaining an individual’s skin condition, an individual’s skin category (classification) by skin condition, and recommended products and regimens that effective for others in this category to achieve the goal of skin care. In a method and system, a system can operate on a network. In the method and system, the skin condition can be determined based on an analysis of the degree of polarization of the light reflected from the skin of an individual person.

In one aspect of the present invention, a method for monitoring the effectiveness of a skin care product or regimen may comprise obtaining an estimate of a baseline (starting point) of skin condition, a recommended observation interval based on at least the purpose of the skin care product and regimen, obtaining a second skin condition assessment, comparing the second assessment with a baseline assessment to determine progress towards the goal of skin care, and further optimizing the regimen or product in order to improve the condition wait. In the method and system, skin assessment can be based on an analysis of the degree of polarization of light reflected from the skin of an individual,

In one aspect of the present invention, a personal skin analysis system and a related method may include an image device comprising a light source including an incident light source to direct light to the skin; and a detector for determining the degree of polarization of light reflected from the skin, and a user interface for controlling the device. In the method and system, the device can be adapted to interact with a physical interface for loading image data to improve registration (recording) of at least one of: a medical practitioner, spa institution, salon, cosmetic sales, cosmetic manufacturer, clinical database tests and databases of third parties. In the method and system, the light source may be positioned to direct light at a selected angle alpha. Different alpha angles can determine different depths of measurement of skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the method and system, the incident light source may be a source of unpolarized light. Unpolarized light may be white light selected with multiple wavelengths or with a single wavelength. The method and system may further comprise a sensor for recording (capturing) an image of reflected light. The method and system may further comprise an optical means for detecting light reflected from the skin. The method and system may further comprise means of connection (communication) for transmitting the detected information. The method and system may further comprise means for storing information collected by the device.

In one aspect of the present invention, the non-invasive imaging device may include a light source including an incident light source to direct light to the skin; and a detector for characterizing light reflected from the skin. In the device, the light source may be positioned to direct light at a selected angle alpha. Different alpha angles can determine different depths of measurement of skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the device, the incident light source may be a source of polarized light or unpolarized light. Unpolarized light may be at least one of: white light, light with one wavelength or with many individual wavelengths. The device may further comprise a sensor for capturing (fixing) the image of the reflected light. The device may further comprise optical means for detecting light reflected from the skin. The device may further comprise communication means for transmitting the detected information. The device may further comprise means for storing information collected by the device. In the device, reflected light may be at least one of polarized light and unpolarized light.

In one aspect of the present invention, a method and system for determining a skin condition may comprise illuminating the skin with an incident light source; characterization of light reflected from the skin; and determining a skin condition based on at least one characteristic of reflected light. In the method and system, incident light can be directed at a selected angle alpha. Different alpha angles can determine different depths of measurement of skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the method and system, the incident light may be polarized light or unpolarized light. Unpolarized light may be at least one of: white light, single wavelength light, or light with many individual wavelengths. In the method and system, the reflected light may be at least one of polarized light and unpolarized light. In the method and system, the characteristic may be at least one of: a light source, light intensity, wavelength of light, angle of illumination, electrical and magnetic properties of light, and the state of polarization of light. One aspect of polarization may be at least one of: orientation, amplitude, phase, angle, shape, degree, and quantity. In the method and system, the determination can be made using an algorithm. The algorithm may involve an artificial neural network, fuzzy logic, fractal and multi-fractal analysis. The method and system may further comprise filtering the reflected light to obtain light with a wavelength determined by the output filter. Algorithmic analysis can be performed on a filtered image. In the method and system, the determination may involve creating an image due to differences between reflected diffused light and reflected polarized light. In the method and system, the determination may include comparing the polarization aspect of the reflected light with a calibrated signal. In the method and system, the determination may further comprise examining at least one of a user input (user information entered) and visual analysis.

In one aspect of the present invention, the non-invasive image device may include a light source including an incident light source to direct light to the area of concern; and a detector for determining the characteristics of the light reflected from the study area (anxiety). In the device, the light source may be positioned to direct light at a selected angle alpha. Different alpha angles can determine different depths of measurement of skin layers. Each depth can have a specific angle that produces a total polarized reflection. In the device, the incident light source may be a source of polarized light or unpolarized light. Unpolarized light may be at least one of: white light, single wavelength light, or light with many individual wavelengths. The device may further comprise a sensor for recording (capturing) an image of the reflected light. The device may further comprise optical means for detecting light reflected from the skin. The device may further comprise a connection means for transmitting the detected information. The device may further comprise means for storing information collected by the device. In the device, reflected light may be at least one of polarized light and unpolarized light.

These and other systems, methods, objects, features and advantages of the present invention will be better understood by those skilled in the art from the following detailed description of preferred embodiments of the inventions and drawings. All documents here are presented in their entirety by reference.

Brief Description of the Drawings

The invention and the following detailed description of certain embodiments may be understood with reference to the following drawings, wherein

figure 1 presents a skin care system for analysis of skin health and monitoring and evaluation of skin care and recommendations;

figure 2 presents an illustration of a mechanism for polarizing light by a skin structure;

Figure 3 is an illustration of a skin care examination process;

on figa and 4B presents an illustration in front and rear views of the skin image device;

figure 5 presents the page for monitoring the health of the skin of the skin care system;

6 is an illustration of an interactive modeling tool for a skin care system;

Fig.7 presents a page of recommendations for a skin care system;

on Fig presents the user interface of the skin care system;

figure 9 presents the welcome page of the skin care system;

figure 10 presents the survey (questionnaire) page of a skin care system;

figure 11 presents the capture page (record) image of the skin of the skin care system;

on Fig presents a page of results (resulting) with histograms of the skin care system;

on Fig presents a results page with linear graphs of a skin care system;

on Fig presents a summary screen (picture) of a skin care system;

on Fig presents a screen (picture) of the total elasticity of the skin care system.

Detailed description

Presented here may be methods, systems and devices for skin and non-skin images. Everywhere it is revealed by the phrase "such as" means, "such as and without limitation." Everywhere it is revealed by the phrase "for example" means, "for example, and without limitation." Everywhere it is revealed by the phrase "in the example" means, "in the example and without limitation." This is universally disclosed by the term “product” referring to any medical, non-medical, cosmetic, skin, hair or nail care product. In general, any or all of the examples may be presented for purposes of illustration, but not limitation.

Referring to FIG. 1, it can be seen that a system for analyzing skin health, observation, and recommendations may include host hardware 108, such as an image device 108, for capturing (recording) biophysical properties of the skin, such as in a skin health test. 160, performing a preliminary diagnosis 162 and performing a remote (remote) observation 164; a user interface 102, connected through an interface with the main hardware 108, an online platform 120, or a mobile platform 124 for capturing (recording) demographic information, additional noteworthy information about skin health, the present skin care mode 118, classification and ratings of 138 current care products skin and regimen, bootstrap data of skin care paths 114, and access (connection) of a skin cycle monitor 140, health and / or prevention information 142, games 148, gift guide 144, list required 119 th, 134 daily report, simulation tools 132, a typical critical machine 130, the shopping cart 113, and etc .; a host system 104 for processing and analyzing captured information, such as obtained by using algorithm 150, obtaining expert advice 128, integration data (integrity) 152, and auxiliary software tools / application programming interfaces 154 for determining skin condition 158; other inputs 112 to the main system 104, which may be subject to classification / rating feedback to provide additional detail in identifying, monitoring, and adjusting the condition of the skin 158, such as a used monitor 182, mobile communication device 184, social network 188, information about product 190, prevention information 192, plug-in (web-capture) 194, barcode scanner 198, generally accepted information / survey answers 101, query / search 103, third party experts 105, third party hardware 109, third party service providers Ts 111, and the like; and storage data 110 for storing data from the main hardware 108, the main system 104, the user interface 102, and other inputs 112, such as hardware 168, mountable memory 170, wireless device 174, computer 178, third party hardware 109, registration ( record), a practicing specialist 180, such as a dermatologist, general practitioner, esthetician, employee of a spa institution, salon employee, cosmetics sales person, etc., personally made record 172, etc.

Despite the fact that skin options are provided throughout the description, with the exception of those places where the context does not allow such consideration, it should be understood that it also covers non-skin options, such as, and without limitation, hair, nails, agricultural holding, veterinary medicine and options with internal organs.

The image device 108 can be used to capture (fix) an image of the skin structure in order to obtain biophysical properties of the skin, such as those obtained by examining (testing) skin health 160, preliminary diagnosis 162, remote monitoring 164, and the like. The image device 108 may also be adapted to capture images of non-skin structures such as hair, nails, teeth, eyes, internal organs and structures, and the like. The image device 108 may use an internal or external light source to provide a lighting sequence using non-polarized light, such as diffuse light, white light, monochromatic light, light with many individual wavelengths and the like, then polarized light, in order to obtain data on skin structures.

In embodiments, the incident light may be polarized light or unpolarized light, and the reflected light may be polarized light or unpolarized light. Polarized light may be the result of reflection from the skin and may not be polarized from a light source. Capture and preservation of reflections makes it possible to obtain an image and analysis of skin lesions, as well as all types of skin diseases, skin problems, cosmetic troubles and indications. Analysis of polarized reflections can make it possible to obtain the temperature, electrical, and magnetic properties of the imaged skin region. Images can be transferred to analysis equipment 154, an analyzer, a practitioner, and the like, which may also include evaluating patient profiles to determine the final analysis of skin health. The device 108 may also use specific target wavelengths, such as those in the red, green, and blue regions, to identify characteristic features based on spectroscopic and quantitative analysis of skin lesions. In an embodiment, device 108 may be adapted to emit polarized light. The device 108 may be adapted to emit more than one type of light, and may be able to switch or combine different light sources. A skin health analysis can be compared with a previous user analysis, with an analysis of other users, the experience of other users, and with the characteristics of the ingredients, product, and regimen to provide recommendations for finding ways to product effectiveness and regimen 118.

Referring now to FIG. 2, it can be seen that in an embodiment, the image device 108 may include a light source to direct unpolarized light, diffusion light, white light, monochromatic light, light with many individual wavelengths, polarized light, and the like. . on the skin at an angle alpha, a sensor for detecting light reflected from the skin structure and an image storage device for storing and transmitting captured images. The skin structure may be at least one of: cells, molecules, groups of cells, groups of molecules, layers of the epidermis and sublayers, basement membrane, dermis, subcutaneous layer, gland, layer, follicle, pore, vascular component, etc. located inside the skin. In an embodiment, the light source may be a white light source for generating reflected light, such as reflected polarized light and / or diffusion light, to measure the electrical and magnetic components of the skin. White light can be emitted as a combination of wavelengths of light through a spectrum of visible light. Incident unpolarized light can be directed at its target at a certain angle alpha from the vertical. As changing values there can be such, without limitation, in the range of 45 - 65 degrees from the vertical, the incident unpolarized light can interact with various structural elements of the skin, since different incidence angles affect the penetration depth differently. The angle alpha can be changed by changing the location of the light source, either manually, via remote control, through the user interface 102, or the like. The relationship between the penetration depth and the angle alpha can be determined by the formula depth = f (alpha). For each skin structure, which may correspond to a characteristic known depth within the skin, a specific angle of incidence can be applied that produces a total polarized reflection. By analyzing reflected light, either polarized and / or diffused, information can be obtained on the sublayers of skin structures responsible for reflection. The polarization of light can be associated with the classical / quantum effects of skin structures interacting with water. This is due to the fact that skin structures have sufficient magnetic and electric fields to be able to modify the polarization of light when it hits structures, and affect the wavelength of light when it hits structures. Aspects of the polarization of the reflected light, such as orientation, amplitude, phase, angle, shape, degree, quantity, etc., can be correlated with various measurements associated with characteristic skin structures aimed ultimately at the skin state 158. For example Damage found in a particular skin structure can cause diffusion of a portion of the reflected light, resulting in reflected light that is partially polarized and partially diffusive. For example, collagen structures are one indicator of the biological difference between benign and malignant melanocytic skin lesions. Collagen differences can affect the polarized state of the reflected light, and the resulting images may indicate the location of the center of the tumor and the periphery of the tumor. Such images may assist the practitioner in visualizing existing boundaries. Since melanocytes are located in the lower part of the epidermis, the corresponding wavelength can be chosen for its depth, as well as for pigmentophores inside various types of nevus.

If the incident light is polarized, then only the electrical properties of the skin can appear, but non-polarized incident light can detect both the electrical and magnetic properties of the skin. Although the polarized light used can generate improved induction of optical activity, the set of generated data may be less than the set of data captured using incident non-polarized light such as white light, monochromatic light, light with many individual wavelengths, and the like. By measuring effects between 10 -34 and 10 -30 Js, measurements can be made at the boundaries of the region of quantum and classical physical effects on the skin and as a difference in the effects of the electric and magnetic forces of the valence electrodes of the skin biomolecules.

In an embodiment, the wavelength and / or intensity of the incident light can be modified in order to measure the presence of specific molecules such as collagen, elastin, cadherin, hemoglobin and the like. Certain molecules have the property of endogenous fluorescence. For example, if the incident light is limited to a specific wavelength of 325 nm, collagen can be determined by emission of wavelengths between 400 nm and 405 nm. The table shows certain illustrative examples of maxima of excitation (irritation) and emission of biological molecules that cause endogenous fluorescence, such as amino acids, structural proteins, enzymes (zymases) and coenzymes, vitamins and derivatives of vitamins, lipids, porphyrins, etc. In order to determine the presence of specific molecules in the skin, the user can illuminate it with light of a specific wavelength, such as, and without limitation, whose readings are presented in the column of excitation maxima, and collect reflected light to identify the presence of specific emission wavelengths in the reflections. It should be clear to the specialist that many different individual wavelengths and combinations of wavelengths of light can be used to illuminate the skin.

Endogenous fluorescence Highs Highs excitation (nm) emission (nm) Amino acids Tryptophan 280 350 Tyrosine 275 300 Phenylalanine 260 280 Structural proteins Collagen 325 400, 405 Elastin 290, 325 340,400 Enzymes and Coenzymes FAD, Flavins 450 535 Nadh 290, 351 440, 460 Nadph 336 464 Vitamins Vitamin A 327 510 Vitamin K 335 480 Vitamin D 390 480 Vitamin Compounds B6 Pyridoxine 332, 340 400 Pyridoxamine 335 400 Pyridoxal 330 385 Pyridoxine acid 315 425 Pyridoxal 5 0 -phosphate 330 400 Vitamin B 12 275 305 Lipids Phospholipids 436 540, 560 Lipofuscin 340-395 540, 430-460 Ceroid 340-395 430-460, 540 Porphyrins 400-450 630, 690

where FAD is flavin adenine dinucleotide; NADH - reduced nicotinamide adenine dinucleotide; NAD (P) H - reduced nicotinamide adenine dinucleotide phosphate.

In an embodiment, the light may be emitted at any wavelength, such as in the range from 280 nm to 3800 nm. Incident light can be blue, yellow, orange, red or some other light.

Continuing to refer to FIG. 1, in an embodiment it can be seen that the light source can be integrated into the device 108 or provided from another associated source. The light source may be a light emitting or laser diode (LED) of any wavelength, such and without limitation, as 280, 340, 360, 385, 405 or 480 nm, related to the exciting wavelengths. The wavelengths in the ultraviolet and infrared ranges can also be emitted by the device 108. The light source can be a source of diffusion light, white light, monochromatic light, light with many individual wavelengths, incandescent light, electroluminescent, fluorescent, halogen, ultraviolet, polarized light, collimated light, light provided by a radio communication device (wireless communication device), light provided by a fiber optic cable, and the like. In an embodiment, the light source may comprise a light diffuser to provide diffusion of the incident light.

In an embodiment, a sensor for detecting light reflected from the skin can be used in optical elements of a charge-coupled camera, CMOS-based image systems, digital camera, web camera, camera inserted in a communication device such as a mobile phone or i-background , a personal digital assistant, a watch or other used device for ongoing skin monitoring to indicate stain types, third party device 109, scanner, and the like. The sensor can be adapted to absorb any wavelength of light, such as near infrared or the wavelength of visible light. The sensor can be adapted to automatically filter specific wavelengths. The sensor can be adapted to display any area size, such as a small area of skin, a full face, for a complete skin examination, etc. The sensor may be adapted to operate without any additional solutions between the device 108 and the area of concern, or may be used by applying oil of similar or other reflective media to the test area. The sensor can be adapted to detect reflected light at any distance from the region or when it is in contact with the region of interest, which can be used for sequential visual and / or algorithmic analysis. Images generated from this reflected light can be considered as visual as well as spectroscopic images or electromagnetic maps of the skin. The sensor may have an internal calibration scale, which makes it possible to measure the size of the displayed area, as well as the distance from the displayed area. In an embodiment, the lens can focus the reflected light from the detecting optics into the near infrared spectrum of a sensitive charge-coupled camera, an image system based on CMOS technology, or another sensor device. In an embodiment, the sensor may be adapted to obtain images in large boundary ranges. In an embodiment, the device may have a large magnification lens.

In an embodiment, device 108 may store captured images for analysis and / or transfer to analyzer 154. Analyzer 154 may be a practitioner, automatic analysis equipment, a practitioner using analysis equipment, and the like. Saving data 110 may occur manually when the image is initially captured (recorded), may occur automatically upon contact with the skin, may be remotely controlled, and the like. Data may be stored in an internal memory device 168, or may be stored externally in a memory medium 170, such as a universal serial bus memory, an external hard drive, a mass storage device, and the like. The device may be able to connect externally, either through a wired connection or through a wireless connection, to a computer, such as a laptop computer (laptop), an interactive terminal, a desktop PC, a central server, etc. For example, the connection may be a direct universal memory bus memory connection. When the device 108 is connected to the computer, the captured data can be downloaded or transmitted either automatically or manually from the device 108 to the computer. For example, device 108 may have a carriage connected to a computer. When the device 108 is located on the carriage, data can be transmitted or downloaded from the device 108. Additionally, the device 108 can receive software updates when it is connected to the computer as through the carriage. In an embodiment, device 108 may not have internal memory and may only be able to transmit or store data externally through a permanent connection to a hard drive or a radio (wireless) connection. Data transfer and storage can be a fully automated process or operating manually. Data may be transmitted via a wireless connection, a mobile connection, a wired connection, a Blue tooth connection, and the like. Transmitted data from the device 108 may be able to be removed by accessible technology. In an embodiment, non-image data may also be stored and / or transmitted by the device 108, as described herein, such as voice responses, text responses, video data, and the like. The device 108 may have an internal microphone for recording sounds, a video camera for registering visible images, an input keyboard for recording text responses, and the like. In an embodiment, device 108 may utilize externally available audio and video media.

In an embodiment, the storage of data may occur in a record of skin health 121. A record of skin health 121 may be an object or database or a repository for an individual that contains information on a terminal for inputting medical and non-medical data and cosmetic indications related to the skin of the user . They may contain images, charts, illustrations, written medical records, personal demographic information, levels of cosmetic conditions such as moisture, elasticity, texture, color level, or non-medical conditions such as arousal, etc. The user can distribute the record 121 with data from any device 108, 109 or input 112. The record 121 may contain a history of skin troubles, comments, a user's blog, etc. In an embodiment, the skin health record 121 may automatically apply to image picking. For example, when a user submits their first image for analysis, a record 121 can be automatically created and distributed with information that can be edited, produced from the image and its analyzes.

In an embodiment, data 110 may be stored in a record of a medical practitioner 180. A record of a medical practitioner 180 may be a repository of key health characteristics, including reference demographic data, personal information, diet information, skin health record 121, and the like. It can have pasted images, links to other image data files, tracking the effectiveness of personal skin products, over-the-counter medical products, etc. and their historical influence on key parameters. This may be fixed communication data or data of selected individuals, which may be similar to a patient or user, and may include classification and comments, and the like.

In an embodiment, data storage 110 may take place in a personal record 172. Based on measurements of skin health 160, food ingredients can be selected to achieve the desired effect in order to obtain healthy skin. This selection of ingredients can be achieved by analyzing and tracking changes in various skin health parameters by applying different products and ingredients using device 108 and tracking changes in skin health over time through a personalized record 172. When selected food ingredients are identified, they can be mixed to create a product that is most suitable for the characteristics of the skin of a particular face and / or the desired purpose (such as improved lazhnennost). Thus, a personalized product can be obtained for the user. Additionally, the same processes could be used to create specific ordered skin products and ingredients for medical and non-medical purposes and conditions.

In an embodiment, the fixed data form may be compatible with any standard image processing and manipulation of a program and technology, with word processing software, slide presentation, application of a spreadsheet program, etc. For example, fixed data can be in any acceptable image format jpeg, tiff, pict, png, bmp, gif, pdf, etc. In an embodiment, many images may be a fixed motion picture or a motion picture may be constructed from a combination of many images.

In an embodiment, device 108 may be powered by any suitable source, such as an electrical power connector, a battery, solar energy, a universal serial power bus, and the like. The user can initiate power to the device 108 in order to start receiving images. Acquisition of images may begin automatically, may begin when the device 108 is located opposite the skin, may begin when a trigger, such as a button, is activated by the user, and the like.

The device 108 may have a display to show an area to be displayed. For example, a user may use a display with positioning means to obtain accurate images over time, such as a series of images obtained on different days. The display may be integrated with the device 108 or may be a separate display. For example, device 108 may be connected to a monitor, such as that available on a computer, using a wired connection or a wireless connection. In an embodiment, a user interface 102 connected to device 108 may show a live view of the image.

In an embodiment, device 108 may have security features in order to protect the privacy of user data. For example, device 108 may have unique medium access control with cryptographic technology.

In an embodiment, device 108 may be associated with peripheral or other assistive devices. For example, device 108 may be coupled to a blood pressure monitor or sensor, a heart rate monitor or sensor, and the like. For example, device 108 can be used to make a preliminary diagnosis 162 of skin damage, although it also monitors other critical points, such as blood pressure, heart rate, and the like, in order to evaluate other aspects of health in addition to skin health.

In an embodiment, the device 108 may be sized to allow the user to use the device 108 pocket view. The device 108 may be portable. The device 108 can be adapted to control its action without assistance. For example, the device can be made as shown in figa and 4B, but it can have many other options of any shape and / or size, such as a mirror, a large device adapted to display a large area, a personal digital assistant, a scanner, a mobile device communication, etc. 4A, a light source is shown as an LED ring around a central detection region. Both images clearly demonstrate size, manual nature of handling and portability. The ease of operation enables even an inexperienced user, such as a home user connected to a laptop, to operate the device 108. The device 108 may be an independent unit and not be part of a large camera system. In an embodiment, device 108 may be designed for one ergonomic hand held holder. In an embodiment, device 108 may be used with or without the use of a reflective medium. In an embodiment, device 108 can be used to capture images from a distance, close, in direct contact, and the like. For example, a program downloaded to a computer connected by an interface with the device 108 can quickly capture an image at a close range and at a remote distance.

In an embodiment, device 108 may be a separate, non-manual version that can be used to receive images or particular body components or materials.

In an embodiment, device 108 may be adapted to be used as a component of a minimally invasive medical device associated with laparoscopy, cytoscopy, urethoscopy, arthroscopy, endoscopy, dermoscopy, gynecology, urology, dentistry, and performing natural input tests, such as through the ears, mouth , anus, nose, and external analysis of breast cancer through the skin and the like. For example, a system may be capable of producing data and displaying it on a video monitor or other display in an operating unit or other medical device. The medical professional may be able to select a display mode, such as a fixed frame of an image or video frame, and may be able to manually adjust the parameters of the light source, sensor, and display to participate in monitoring, identification, and monitoring with device 108. In an embodiment, the system may be pre-programmed with different protocols for various types of medical procedures and tissue types that a medical professional may encounter, so that the system can automatically and operate the device 108 based on the instructions of a medical professional about the types of procedures and the skin being tested.

In an embodiment, the device may be able to test skin health 160. An image device 108 may be used to perform skin health testing 160 to examine skin characteristics in order to be diagnosed. The hardware of the device can capture an image and analyze the image. The image components within the device 108 may be able to measure various skin health characteristics like color, age, damage, collagen, elastin, pores and their types, keratin and the like. Skin health testing 160 can be performed at home, in a sanatorium, clinic, hospital, from a mobile phone in any location, etc. Skin health testing 160 can be used in conjunction with specific preliminary information through questionnaires, image uploads, genetic testing, DNA samples and lifestyle features to determine skin condition 158. Testing 160 could respond with specific information regarding biophysical skin health, part from which there could be physical and genetic indications to identify medical, or not medical or cosmetic problems or conditions.

In an exemplary embodiment, device 108 may be able to perform a preliminary diagnosis 162. This is a preliminary diagnosis system where a practitioner (such as a user, dermatologist, medical professional, esthetician, etc.) can receive or request a preliminary diagnosis based on preliminary algorithmic analysis existing conditions. The user can submit a questionnaire and an image with a preliminary diagnosis of the conditions before visiting the doctor so that he can see them and prescribe subsequent events. Images captured by the device can be submitted for a preliminary diagnosis in order to be able to effectively determine the best specialist for a given case. Preliminary diagnosis 162 can be performed using software algorithms on images, manual analysis and their combination, etc. Pre-diagnosis 162 may include a preliminary assessment, as well as indicate the time and steps required for a final diagnosis or evaluation. A sign of pre-diagnosis 162 may allow the practitioner to plan effectively. A preliminary diagnosis of 162 could also help showcase characteristic skin tissues, as well as identify users with specific tissues.

In an embodiment, device 108 may be able to remotely monitor 164. A user may use the device in isolation in his home, at work, or in any other location to perform remote monitoring 164 and present images to select ways to improve skin health or medical conditions. The practitioner may be able to remotely direct changes to treatment or to preventive factors. Remote diagnosis can significantly increase the effectiveness of monitoring progress, since users will not physically go to the provider, and the provider can conveniently choose the time during the day to examine patient changes. Monitoring data can be displayed as recorded or in real time.

In one aspect of the invention, the image device 108 can illuminate a test region at a known angle of incidence with unpolarized light. In order to obtain only a spectroscopic image of the magnetic properties of the region, reflected polarized light, which has the electrical properties of the region under study, can be deducted from any reflected diffusion light that has the electromagnetic properties of the region under study. The distribution of pixels in the image corresponding to diffusion light and reflected polarized light can be determined and indicated by any convenient means. For a known image sensor, a one-to-one mapping in the form of a map of the distribution of image pixels between the diffusion light image corresponding to the electromagnetic signal and the reflected polarized light corresponding to the image of the electrical signal can be done with the intensity distribution of spectroscopic data for the same region. An image of the magnetic gradient of the region can be made by equipment, such as atomic force microscopy in magnetic mode and from a one-to-one correspondence, the state of the skin 158 can be based on the gradient of the image, diffusion light image and reflected polarized light image.

In an embodiment, the device 108 may be an image device 108 for performing a digital spectroscopic image of the skin. Incident non-polarized light can be delivered either vertically or at an angle alpha to vertical from the non-polarized light source associated with the device 108, such as white light, diffusion light, monochromatic light, light with many individual wavelengths and the like, to be directed to the skin structure. White light, which has both electrical and magnetic properties, when incident on the skin structure at a specific angle, interacts with the components of the structure, which leads to reflected light having a polarized light component. In an embodiment, the incident light may be polarized. Unpolarized light reflected by skin structures may become polarized, at least in part. Reflected light, or polarized or diffusion light, can be captured (recorded) by device 108. Such a multispectral image of the skin can be used to deliver electromagnetic skin topography. By measuring the polarization of reflected light, such as orientation, amplitude, phase, angle, shape, degree and amount and wavelength of reflected light, biophysical properties of the skin structure can be obtained. Skin condition 158 can be determined from a combination of biophysical data obtained from one or more skin structures, as well as visual analysis of captured images and any additional data obtained randomly. For example, skin condition 158 may be determined from moisture, wrinkle, pore, elasticity, brightness, and any number of measurements described herein. By varying alpha, the angle of incident white light, the depth of light penetration into skin structures can be varied. Each depth within the skin corresponds to different skin structures. For each skin structure or depth, there may be a specific angle that produces a total polarized reflection. For example, a typical angle of incidence can be used to obtain data for skin structures within the epidermis, however, the angle of incidence can be changed to obtain data of skin structures inside in the subcutaneous layer that are at different depths within the skin. The angle of incidence can be modified in order to penetrate the skin anywhere from a few microns to several centimeters, thereby facilitating the capture of reflections from other non-dermal structures. For example, device 108 can be used as non-invasive imaging equipment such as tumors, breast cancer, melanoma, and the like. In an embodiment, the region to be displayed may be any biological tissue that may have normal or pathological variations in its structure, such as variations in the properties of the birefringent tissue. For example, scars, keloids, hypertrophic scars and grooves, all of them have collagen fiber organizations that are different from normal skin. Since collagen is the primary determinant of skin wound healing, it may be interesting to observe changes in the structure of collagen and its concentration. For example, the stage of healing can be determined by the size of collagen nodes, which can increase as a sign of progress of healing, by organizing collagen structures at the molecular or small fibrillar level, which can increase as a sign of progress of healing, by returning or increasing the double refraction of rays, etc. . Since collagen structures are sensitive to polarization, changes that occur in the structures can be observed using polarization-based techniques during scar formation, healing, and scar treatment, as has been and will be described here.

With the ability to measure the electrical and magnetic properties of various skin structures, it is possible to differentiate between healthy and unhealthy skin structures. Normal or healthy skin structures show a unique conformation that differs from the conformation represented by equivalent structures when they are unhealthy or abnormal.

These conformational changes can be determined by differences in the aspects of reflected light from the skin, such as the polarization aspect of reflected light. The polarization aspect can be the wavelength of light, orientation, amplitude, phase, angle, shape, degree, magnitude of the polarization of light, etc. According to Maxwell's equations, light can be described as containing an electric field and a magnetic field, which can be represented as two vectors, E and B, which behave like waves. Vectors are perpendicular to the direction of light propagation and they are orthogonal to each other. Additionally, taking this into account, the electric fields E and B can be determined through the Maxwell equations and vice versa. Thus, by measuring the electrical component of the light reflected by skin structures, the magnetic component or the degree of polarization / polarization state can be determined. By comparing these electrical and magnetic recordings from the polarized component of the reflected light and unpolarized white light with normal or healthy skin structures when light is incident at the same or similar angles, changes can be determined in the skin structure and in its molecular or structural conformation. Based on the magnitude or other aspect of the electrical and magnetic determination, specific defects such as cancer, skin diseases, cosmetic indications and the like can be determined since each measurement range may correspond to a characteristic conformation defect. If any other molecules, cell or structure are now exposed to the same type of light at the same angle, the intensity of certain wavelengths of the reflected component can be measured, and differences in the conformational state of the measured component can be determined by the difference in intensity. The polarization state of reflected light can be described in terms of an ellipse of polarization, characteristic of its orientation and duration. Parameters that can be used to describe the polarization state can include the azimuth angle (ψ), which is the angle between the main axis of the ellipse and the X axis, ellipse (ε), which is the ratio of the two axes, and the ellipse angle, which is the arctangent of ellipse , eccentricity, amplitude and phase of the oscillations in the two components of the electric field vector in terms of polarization, etc. For example, an ellipse of zero corresponds to linear polarization and an ellipse of 1 corresponds to circular polarization. The polarization of the reflected light may be at least one of: elliptical, linear, circular, left-circular, right-circular, and any possible combination of this.

In an embodiment, determining the condition of the skin 158 may include processing data and analyzing 154 reflected light to obtain images for visual and spectroscopic analysis. Analysis 154 may be facilitated by examination of the wavelength and other characteristics of the reflected light. For example, if the incident light is white light, then the reflected light can be filtered to check for a set of wavelengths or a single wave and, ultimately, the specific fluorescence of the skin structure. In another example, monochromatic or semi-monochromatic light, such as provided by an LED, can be used to excite targeted fluorophores and chromophores. In this example, fluorescence of deeper layers can be isolated. Reflected light in this example can also be filtered to isolate specific fluorescence. In another example, by varying the wavelength of the light of light, it is possible to detect biophysical properties from various depths within the skin. Additionally, certain chromophores, such as the various forms of hemoglobin found in the blood, have specific absorption ranges, so the processing of data created by different colors of light can provide information on the distribution of the chromophores, which may be sensitive to polarization. The wavelength dependence can be obtained in several ways: 1. by sequential illumination with light of a separate wavelength or by many separate wavelengths and by collecting each image result separately; or 2. white light illumination and examination of reflected light for individual wavelengths or collection of individual wavelengths either during detection or during the process. Algorithms 150 may be used to obtain information from data obtained either by a processing method and to analyze one or more light waves to form a spectroscopic, polarization-based image. In an embodiment, a combination of both technologies may be able to eliminate reflection from the surface of the skin.

In an embodiment, filtering may be performed to filter out a range of wavelengths, such as those belonging to ultraviolet, infrared, near infrared, visible, and the like. The filter may be a digital or analog filter. For example, captured (recorded) images may be processed by a program that may be capable of implementing digital filtering technology to process images for analysis. For example, using the program, any digital filter parameter can be selected, such as a characteristic wavelength transmission boundary, a series of individual wavelengths, a sampling interval, etc. For example, and without limitation, a digital filter can be used to isolate reflections with wavelengths of 405, 458, 488, 532, 580 and 633 nm. In another example, an analog filter can be used to filter images when they are captured, such as a filter that is integrated with the optics of device 108, or when they are stored, transmitted, managed, processed, etc., such as an external analog filter. Image filtering may result in imaging of subcutaneous structures and / or a specific polarization model. Image filtering may result in separation of the electrical and magnetic components of the reflected light. Image filtering can be subjected to algorithmic analysis. Filtering can eliminate reflections due to reflections of the skin surface by isolating specific light wavelengths. For example, fat glands can appear as glowing spots in an image when only a certain wavelength of light is isolated for analysis, although isolation of different wavelengths of light may be able to visualize all pores in the image area. Thus, fluorescence can be isolated from deeper layers.

In an aspect of the invention, the main hardware 104 may comprise algorithms 150, integration data 152, auxiliary software / application programming interfaces 154, skin condition 158, expert advisor 128, and the like. Skin condition 158 may be object data or skin characteristics based on studies 160, preliminary diagnoses 162 and monitoring 164 performed by device 108, user input, expert advisor 128, other inputs 112, analyzers 154, algorithms 150, and the like. The skin condition 158, together with all relevant data and user information, can be stored in a skin health record 121. In an exemplary embodiment, the main hardware 104 may comprise an architecture server. Main hardware can be technologically independent. Host hardware 104 may comprise one or more cloud computing, service oriented architecture, distributed objects, and the like.

In an embodiment, expert advisor 128 may provide analysis, recommendations, message assessment, and the like. The collected skin image data, as well as preliminary diagnoses, in addition to any other relevant data, such as the patient’s diagnosis, insurance, blood test, etc., can be sent to the expert either by the user or practitioner, or by other users to receive analysis, recommendations or message ratings. Experts can be located in geographically remote places and can be various specialists. For example, skin imaging and analysis data may be combined in another user's request with an Indian herbalist, or the user may request imaging data to share with an aging expert in France to study his experience for the most appropriate treatment and care skin. An expert consultation analysis may be supported by the main hardware 104 as part of a skin history record 121 and may be available to the user at a convenient time or in conjunction with other users.

In an embodiment, the main hardware 104 may be basically a home, clinical, or medical installation installed in a spa facility and in salons, on cosmetic stands and during cosmetic sales, and the like, to perform a skin analysis separately and accurately when low cost, fast and confidential. In an embodiment, device 108 may integrate with user interface 102, online platform 120, mobile platform, and the like. to perform an analysis 154, a stored record of the skin condition 158, receive links / analyzes from a remote practitioner or algorithm, etc. Basically, home system 104 may allow a practitioner, who may be any qualified or unskilled person, to give a message to analyze cosmetic or non-cosmetic conditions that can be captured by the image device 108 or third party device 109, and give a message and product recommendations , diet, lifestyle, etc., based on entries from questionnaires, downloaded images, etc. The system can consist of a web site starter, which can be adapted for personal work, when a practitioner can organize work on the cosmetic health of the skin of clients, the ways of their regimes, recommended products, be their online consultant, etc. This should involve analysis and platform design to allow the practitioner to analyze comments, images, questions and / or concerns, etc. and give a message, advice on improving lifestyle and ways of action. A system based on a spa / salon may be able to make a personal assessment of the skin. For example, a spa facility may own a device that can capture images to power a large-scale display adapted to represent skin conditions, and then the practitioner may be able to simulate the effect of the treatment. Users can compare the state of the skin 158 by the work of analogous enterprises or other successful spa facilities and generate recommendations based on their work or created by them. Desired improvements can be correlated by ingredients and the most successful products / modes 118 for the skin of the user. System 104, based on a sanatorium / spa, can generate product / service recommendations based on skin condition 158, offer single shopping based on recommendations, and locations and assortment of goods, offer preventative places, such as through contractual relations, provide the ability to have places for the implementation of the regime from one sanatorium to another, from home to a sanatorium, etc., to be able to optimize regimes / messages, such as helping practitioners, adjusting the duration of the procedure, being able to improve targeted therapy, being able to clearly, visually communicate with clients, generating product / service report effectiveness, etc. Reports can be based on or contain correlation with other users, feedback on modes 118, improvement of mode 118, cyclic monitoring of the skin, etc. A system based on a medical professional, such as a dermatologist, general practitioner, doctor for the treatment of metabolism, etc., may be able to carry out preliminary diagnostics, may be associated with the employee's planning system, may be able to perform a preliminary assessment of services, may follow the paths actions, etc. System 104, based on cosmetic sales or retail, may be able to be integrated with the product list, helping to clarify the list. Pocket / portable device 108 can be used in kiosks of additional cosmetics, in pharmacies, at home, or when selling additional cosmetics at shows / parties, etc. The user can purchase peripheral / auxiliary equipment for the device, such as a bed, charger, etc. The user can buy a personal scanner or may have a subscription scanning service, etc. System 104 may be based on health clubs, gyms, recreational facilities, and the like. A system based on cosmetic manufacturing / testing may be able to design a product based on skin condition, target skin care samples for a particular visitor, etc. System 104 may be veterinary based on monitoring veterinary dermal and non-dermal anxiety. System 104 can be based in hospitals, in intensive care units, in military operations, etc., in order to be able to quickly assess medical conditions, establish priorities for skin care, etc. System 104 may be agricultural based on its ability to be used for fruits, vegetables, and other similar products. System 104 can be used on the battlefield or in harsh environments such as space travel, air flight, underwater conditions, in a submarine, etc., to be able to examine a wound, establish a diagnosis of the wounded on the battlefield, etc. . System 104 may be research based on the ability to compare any materials and their specific compositions. Based on the use of the interpretation of the electrical properties of light, the user may be able to determine the similarity or difference between the displayed material.

In an embodiment, determining the condition of the skin 108 may include the use of analysis 154. In an embodiment, the acquired data can be analyzed by a practitioner, such as a therapist, a dermatologist, a spa worker, a clinical research doctor, an esthetician, a cosmetologist, a nutritionist, a cosmetics sales person etc. The practitioner can analyze the acquisition data visually using algorithm 150, expert advisor 128, database 115, and the like. In an embodiment, the practitioner may remove acquired data from the location. In an embodiment, algorithm 150 may be used to process data and analyze reflected light 154 to obtain spectroscopic images, either automatically or under the control of a user, practitioner, and the like. For example, to obtain a spectroscopic image of only the magnetic properties of the region, algorithm 150 can be used to generate an image of the region of interest using the difference between reflected polarized light, which has the electrical properties of the region, and reflected diffusion light, which has the electromagnetic properties of the region under study. Algorithms 150 can be rightfully based on a program and processes: 1. analysis of image evidence to obtain skin health, 2. correlation of skin health with ingredients, medicines and / or products that are best suited to a particular skin health, 3. health correlation skin with similar cases in commonness in skin health; and 4. recommending and designing personal products based on skin health and / or other similar good practices, 5. observation of measured changes in skin health rove, etc. Algorithms 150 may be automated. Algorithms 150 can be used to analyze 154 medical concerns, such as cancer suspicion, rash analysis, and the like. Algorithms 150 can be used to analyze 154 non-medical concerns, such as the effectiveness of medical, non-medical or cosmetic modes 118, modes to eliminate acne, the effectiveness of sun protection, cream to prevent scabies, etc. Algorithms 150 may be useful for correlating desired improvements in ingredients and the most effective products to improve or maintain a user's skin health. Algorithm 150 can be utilized to classify a scale for determining the depicted skin structures based on the angle of incidence, wavelength and intensity of the light source, aspect of reflected light, filtering parameters, and the like. Algorithms 150 may be useful for determining a dermoscopic effect, a luminescent effect, a spectroscopic effect, and the like. For all algorithms 150, there may be input, output, and functional parameters for modulating algorithm 150. In an embodiment, analysis 154 may comprise examining at least one of: physical data and / or image of the material using white light diffusion; physical data and / or images of the material using light of a single wavelength or of many individual wavelengths; physical data and / or images of the material using polarized, reflected light at a specific angle of incidence; physical data and / or images of the generated material, using the difference between diffusion of white light and polarized reflected light at a certain angle of incidence; physical data and / or images of the generated material, using the difference between light of the same wavelength or many individual wavelengths and polarized reflected light at a certain angle of incidence; etc. Algorithms 150 may be used with data and images generated by a device 108 or third party equipment 109. Algorithms 150 can be used with data and images captured using an image capture device or technique using any kind of incident light, such as unpolarized light, polarized light, monochromatic light, diffusion light, white light, light of many individual wavelengths, etc. P. In an embodiment, any captured data or image may be subject to algorithmic analysis, as described herein.

In an embodiment, algorithm 150 may be based on artificial neural networks and fuzzy logic. For example, algorithm 150 may be used in the diagnosis of skin lesions based on the probabilistic working boundaries of the classification. Two types of data can be entered into the neural network: digital data, such as intensity, size, values, etc., and descriptive data, such as white, gray, dark, etc. Fuzzy logic can directly encode structural descriptive data within digital operational boundaries. Based on associative memory, the learning algorithm 150 and the adaptive control system of the operating mode, the intelligence of the neural network machine and fuzzy logic may be able to draw a correspondence between the input data taken from the collected images and the biophysical state of the skin 158.

In an embodiment, algorithm 150 may be based on fractal and multi-fractal image analysis based on biophysical and spatial temperature data. Digital image data and spectroscopic skin data can be analyzed using the Hausdorff dimension (fractal property) and Kholmogorov entropy. Then, the spectroscopic data can be separated in space-temperature cells and analyzed as multi-fractal objects, providing information on the level of functional disharmony of skin structures (epidermis and dermis). The structural data of these two analyzes can be correlated to determine one-to-one correspondence between them. If a fractal correlation between digital image data and spectroscopic skin data is established, it becomes possible to obtain information on the functional state of skin structures through multi-fractal analysis of digital image data.

In an embodiment, algorithm 150 may be used to analyze data integrity 154. For example, algorithm 150 may be able to determine if an image was captured with a high degree of resolution in order to reliably present sequential analyzes.

In an embodiment, algorithm 150 may be useful for analyzing skin characteristics, obtaining biophysical properties of the skin, and determining skin condition 158. Skin condition 158 encompasses a combination of subcutaneous structure over time. Some discrepancy may be predictable, but some changes may be based on temporary conditions such as infection, sunburn, hormonal imbalance, etc. Algorithm 150 may be able to measure aspects such as structure, shape, concentration, magnitude, size, state, stage, and the like. melanocytes / melanin, hemoglobin, porphyrin, keratin, carotene, collagen, elastin, sebum, activity of the sebaceous glands, pores (sebaceous and sweat), wrinkles, moisture, elasticity, brightness, all of the above forms, such as derivatives, salts, complexes and etc. Algorithm 150 can be used to quantify clinical, medical, non-medical and cosmetic indications, such as moisture level, density, fine lines, wrinkle count and stage, pore size, percentage of open pores, skin elasticity, skin line tension, spots , skin color, psoriasis, allergies, red areas, general skin and infection disorders, or other skin-related concerns for the user, such as tumors, sunburns, rashes, scratches, acne, acne, insect bites, scabies, bleeding, bruises, irritation, damage, pigmentation, shade, tattoo, percentage of burns / classification of burns, moles (birthmarks, nevoid tumor), aspects of skin disorders (structure, color, size / asymmetry) melanoma, observed dermal disorders and skin damage, cellulitis, boils, blisters, management of congenital skin syndromes, (under) - skin mycoses, melanosis, vascular conditions, redheads, arachnid veins, texture, skin ulcers, wound healing, postoperative trail, melanocytic disorders, not melanocytic disorders, basal cell carcinoma, seborrheic keratosis, sebaceous secretions (excessive fat content, anxiety in the nails and / or hair, etc.). Either manually or determined by algorithm 150, the targeted wavelength or wavelengths can be used to specifically measure the expected result. Either a specific wavelength or many wavelengths can be selected for the incident light, or a specific wavelength or wavelengths can be isolated by filtering, as described here. Algorithm 150 can determine the presence, absence, structure, shape, and the like. specific skin structures based on the properties of reflected light. For example, algorithm 150 can detect which axes / angles of light are polarized and compare with the distinctive emission spectrum of individual proteins / subcutaneous structures. Each skin structure can have a unique pattern of distinctive feature based on the electrical and magnetic release of the molecule (s) present in the skin structure. Algorithm 150 can identify, analyze, and isolate the electrical and magnetic components of a unique polarized signal, as described here. Signals can be correlated with the overall conformation of the state of the molecules in the skin structure. By comparing this signal with a standard classified signal, aspects of the subcutaneous structures can be determined. A standard classified signal can be provided using a catalog of skin structures / molecules and their specific observation wavelength. The catalog can be expanded, thanks to the technique described here, or any other spectroscopic technology. For example, to determine moisture levels in the skin, algorithm 150 may determine the ratio of reflected polarized light to reflected diffusion light and correlate the ratio with the level of humidity. Ideally, close to 100% polarized light can be generated from reflections, however, if part of the reflected light is diffusion light, such as 95% polarized light, 5% diffusion light, the amount of diffuse light can be correlated with the humidity level. Incident non-polarized light can interact with the skin structure and lead to different amounts of polarization of the reflected or refracted light. This concentration (intensity) of polarized reflected or refracted light can be measured. This polarization can be 100%, however, the reflected polarized tension can even be less than 100% in some cases. The angle of incidence and the displayed material can help determine the maximum possible intensity for the polarization of reflected light. This should be understood that there may be a maximum amount of polarization with a maximum of 100% for a specific angle of incidence, but any amount of polarization in the range from 0 to 100% can be expected from light reflected by any skin structure. The reason for the subcutaneous structures regarding the difference in reflection may be due to the ratio of trapped and free water in the skin. To determine elasticity, Algorithm 150 may determine the concentration of elastin entering the study area. To determine the lightness (brightness), algorithm 150 may combine moisture levels and skin color in a single, objective assessment. Objective measurements can be correlated with an expert classification scale or other external measurement. To determine strength / density, Algorithm 150 can combine an estimate of the collagen and elastin concentrations in the study area with the activity of the sebaceous glands (measured by the number of glands, percentage of open / closed glands, salting / filling level). Algorithm 150 may be capable of superimposing various wavelengths and intensities and spectroscopic technologies such as reflection, excitation / emission, and the like. Algorithm 150 may be able to process data and analyze 154 many different types of images, such as thermoelectromagnetic (TEM) images or electromagnetic (EM) images, images collected by incident polarized light, traditional dermoscopic images, spectroscopic images, ordinary images, images obtained using harmonized light, etc. Algorithm 150 may be able to calculate various measurements of skin condition 158 over time. Determination of skin condition 158 may also include, in addition to processing and analyzing skin images for various measurements and critical points as described herein, visual analysis of images, user input and third-party information such as lifestyle, smoking history, habits, diet, allergies, etc. For example, the user may enter random information, such as medications that they can take, percentage of excessive overheating in the sun, stage of the menstrual cycle, etc.

In an embodiment, the algorithm 150 for determining the skin condition 158 can provide measurements, tracking and monitoring the condition of the skin 158, as well as the effectiveness of regime 118, topical and / or systematic therapy, avoiding routine, diet, etc. For example, skin condition 158 can be measured at intervals, and current measurements can be compared with previous measurements to determine changes in skin health. As will be further described here, the results from Algorithm 150 may power the recommendation tool to provide feedback and modifications to aspects of mode 118.

In an embodiment, an algorithm 150 for determining a skin condition 158 may be able to diagnose. Diagnosis may be early diagnosis by identifying differences between critical and non-critical indications. For example, algorithm 150 may be able to distinguish between a minor sunburn and a third degree sunburn requiring medical attention. Using the device 108 for capturing images allows the user to transmit readable images to any practitioner for remote assessment, ways to progress skin conditions, quickly compare images with previous images, images of other users or third-party images, such as images in a dermoscopic database 115, and etc., and make an immediate assessment without medical history data, etc. The case history data and the results of simulation tools 132 can be compared with images to aid in analysis, either through an algorithm 150, a practitioner, or a practitioner using the algorithm. Also, in addition to images, user input in the form of audio, video, or text of unusual signs describing a problem, such as color level, sensitivity to heat, scabies, etc., may be useful for image analysis to determine diagnosis. Algorithm 150 has the ability to conduct a main component analysis, which can be a biomedical analysis used in conjunction with spectrometric analysis to analyze medical and health conditions. Algorithm 150 has the ability to simply conduct a sample analysis for diagnosis. Algorithm 150 may be able to determine the conditions for the thermal and electrical conductivity of skin disorders. In an embodiment, algorithm 150 may be able to diagnose melanocytic abnormalities by examining images of the interaction of collagen and porphyrin changes, since a change in collagen, but not porphyrin, may indicate a change from normal to dysplastic disorder. Skin condition 158 can be compared through a table of indicators for various types of disorders. In an embodiment, algorithm 150 may be able to diagnose ultraviolet damage. Such abnormalities can be difficult to assess from a normal non-essential abnormality, since ultraviolet damage can even be present in wrinkle-free skin. However, ultraviolet damage can be assessed through examination of skin structures to increase melanin production; general distribution, damage and accounting of superficial blood vessels; changes in hemoglobin; changes in epidermal density; changes in the quantity and general distribution of collagen, etc. In an embodiment, the diagnosis may not require processing of the boundary of the disorder, as this may not be a key factor in the final analysis of the skin disorder. In an embodiment, algorithm 150 may be able to diagnose oral cancer.

In an embodiment, the algorithm 150 for determining the condition of the skin 158 may be able to evaluate the validity of cosmetics manufacturing or skin clinical trials. For example, skin condition 158 can be determined prior to the use of medical, non-medical skin care products or cosmetics, and a number of temporarily lost images can be obtained to select ways to improve the effectiveness of medical, non-medical skin care products and cosmetics.

In an embodiment, methods for storing, managing, integrating, and analyzing the condition of the skin 158 can be used. The condition of the skin 158 can be saved by the device 108 itself, on a personal computer, in a central server, in a salon record, in a medical record by e-mail, in a medical repository , in the database 115 in cosmetic clinical studios, on a mobile device, etc. The device 108 may communicate with a user interface 102, an online platform 120, a mobile platform 124 and the like to download, deliver, distribute and / or transfer images, analysis 154, skin condition 158, user profiles, and the like. For example, a user can use a device 108 implemented in a mobile phone to capture a skin image and upload it to a mobile platform 124 for analysis 154 to determine the condition of the skin 158. In response, the user can receive a personal mode 118 for sun protection based on skin condition 158 users. Another factor that can be used to determine mode 118 may be the current UV index, time of day, location, type of solar protection product that the user prefers, and the like. In the same example, the user may already have the obtained definition of the skin condition 158, and there is no need to upload a new image, but simply request recommendations for mode 118 from the mobile platform 124, taking into account the already defined and saved skin condition 158. When the skin condition 158 is determined , it can be accessed through and / or integration with any element of the user interface 102, online platform 120, mobile platform 124, and the like. The user can choose to distribute skin condition 158 as part of practitioner's 180 entry.

In an embodiment, the algorithm 150 for determining the condition of the skin 158 may be able to analyze differences and similarities among the same level of condition. Algorithm 150 can determine similar levels of such a user, which may be most similar in terms of skin condition 158 or other criteria such as gender, age, ethnicity, habits such as smoking, working in the fresh air, etc., diet, regimen 118 and other identifying factors. Algorithm 150 is capable of being a communication tool with online platform 120, a database of 115 third parties, or a service provider of third parties to provide access to skin conditions 158 and demographic information for comparison. For example, a user may wish to know that other women at the age of 30 of the same skin color are used as a base cream. By using algorithm 150, the user may be able to determine their own skin color, identify similar faces that match the search criteria, and visible details in the modes of similar faces 118 or the results of a specific question when searching 103. The algorithm has the ability to classify skin relative to similar skin of a group of faces. Using algorithm 150, the skin condition of the user 158 can be compared with the previously determined skin condition 158 in order to observe the skin condition over time. The skin condition of the user 158 can also be compared with the skin condition 158 of another person or group of persons to identify similar individuals whose skin condition 158 is closest to the user. When equal in level, a similar person or group is identified, the system can reproduce skin care products and / or skin care regimen that are effective for that person. Similarly, the system can make any comparison among users, such as at least one of: age, gender, location, climate, skin color, ethnicity, etc., to identify a similar person. In an embodiment, when the device 108 captures data from users and determines the state of the skin 158, the information may be fed back into the algorithm 150 to further enhance the identification of such a person and recommendations for the adoption of products.

In an embodiment, the algorithm 150 for determining the condition of the skin 158 has the ability to use prediction / imitation tools 132. Having a certain state of the skin 158, the algorithm 150 may be able to simulate the aging progress, simulate the effects of skin care processing and skin care regimes and application cosmetics 118, simulate the progress of conditions for the skin, etc. Referring to FIG. 6, it can be seen that the user can use the user interface 102 to provide access to the modeling tools 132. For example, an image of the entire face can be used, but it should be understood that the modeling tools 132 can be used to generate simulations for any size of the subject area. After selecting or capturing the initial image, the user can specify the type of simulation that is desired to be performed. For example, a user may want to perform only aging modeling, or aging modeling and treatment effects. Modeling tools 132 may return data of a general appearance, counting wrinkles, elasticity, brightness, moisture, modeling application of products, and the like. For example, the output may also include a split image with the original face in one half and new output in the other half. In an embodiment, the algorithm 150 for determining the condition of the skin 158 has the ability to monitor the cycle of the skin 140. By monitoring the skin at certain intervals, conditions for the skin with a cyclic nature can be monitored, prediction, prediction of a rash, and the like can be performed. For example, skin conditions associated with seasonality, weather, pollen, hormone levels, environmental conditions, and the like, can be identified and monitored by the skin cycle monitor 140.

In an embodiment, algorithm 150 may be used to generate searchable and / or indexable tagging features to associate them with images and benefit from image tagging. Images can be marked with information related to the content of the image, such as related to skin condition, skin conditions, gender, ethnicity, age, regimen, treatment, etc. Information can be accumulated by algorithmic analysis, user input, visual viewing of the image, etc. Algorithm 150 may be used to perform a search 103 using information related to the image as a search term. In an embodiment, the information may be stored separately from the image, for example, by entering a user profile, or may be stored in conjunction with the image. In an embodiment, a search 103 may be performed with respect to information or images of other users or a third party database 115 to identify similarities or differences in images or information. For example, a user may use the information to search for similar individuals with similar skin conditions in order to determine what to expect as a condition for progress. In another embodiment, a search 103 or a question for a device or recommendations from experts can be performed with respect to product information 190, preventive information 192, skin care modes 118, third party experts 105, and the like. For example, a user may use the information to search for product data 190 indicating product efficacy for a user's skin conditions. In an embodiment, a search 103 may be conducted to determine product availability, product availability, product price, and the like. For example, a user may use the information to search for a stored directory for a specific product that may be effective for the user. For example, the user may be with pale skin and is interested in identifying the availability of a self-tanning product made specifically for pale skin. In an embodiment, the image itself can be used as a search query 103. For example, the image itself can be used to search the skin image database 115. In an embodiment, images and information input to system 104 can be brought in to develop new algorithms 150 to improve diagnostics. For example, algorithms 150 may be developed for specific non-skin diseases with dermal manifestations, such as rheumatoid arthritis.

In an embodiment, algorithm 150 may be useful for analyzing product characteristics. For example, algorithm 150 may be able to take the ingredients of a product and select a product with declared effectiveness for a particular skin condition 158. In an embodiment, a new algorithm 150 developed by practitioners, users, service providers 111, and the like, has the ability to form a set of programs that anyone could use to improve the new algorithms 150 and application programming interfaces 154 for the device 108.

Referring to FIG. 3, it can be seen that, in an embodiment, the process of collecting images, performing skin analysis, tracking the relationship of data acquisition and planning, i.e. of what is required can begin with capturing (recording) the image by the user using the device 108. The user can also answer a question or provide additional details regarding the user-entered image, cosmetic mode, study area, or the like. Using the user interface 102, the data can be connected to an analyzer 304 or a computer for analysis 154 by any communication method, such as the above network, the Internet, wireless communication, and the like. In a specific embodiment, when data is collected or connected, payment system 302 may be available to the user. In the example shown, the insurance company can provide access to data, however, payment can be made or requested by any interested entity, such as a one-time user, subscriber user, third party service provider 111, platforms 120, 124, practitioner, etc. Entered data can be analyzed by the analyzer, a real-time program, by analysis associated with an auxiliary program, etc. An initial analysis can be performed to determine the integration data. In the particular case, when the data does not pass integration testing, they can be sent back to the user. The evaluation of the analyzer can be assisted by a program that uses an algorithm to determine the type of conditions and / or recommendations for care / treatment. Analysis of the medical history and data and modeling by means of imitation can be used to assist in the evaluation of the analyzer. Relevant persons (company personnel, payment providers, therapist, medical personnel, users, and many others) may receive analysis and / or specific details for use for subsequent or other promotions that may be required. Analysis 154 may be stored by the system 308 and / or submitted to the practitioner for approval 310. In an embodiment, the storage 308 may need to be approved by the practitioner. A disease severity test 312 may determine the choice of an appropriate method of communication with the user. If the test result 312 is positive, the user can be notified immediately by a preferred method such as telephone, urgent message, etc. If the test result 312 is negative, the user can be notified in the same way, however, the notification can be sent in a less urgent way, such as by e-mail or by mail. In any case, the software tool may recommend an appropriate method of communication or media based on evaluation, and may fill in programmed samples with information / message to be transmitted. Additionally, notification by any means may also include notification of the practitioner's availability. Analysis 154 may trigger a practitioner's accessibility / planning tool. For example, before transmitting the result of the severity of the disease to 312 to the user, the practitioner's accessibility can be assessed while transmitting the information. The user can access the availability and planning tools in order to obtain and confirm the appointed time. In an embodiment, the user interface 102 for the skin analysis system 104 can be used to communicate with the device 108, save images, activate the algorithm 150, track the condition of the skin 154 by keeping the images from any number of areas to be examined, the interval between image captures, the planned next capture date images, transferring the received data to the practitioner, interconnections with modeling tools 132, with means for determining the type of skin 130, skin cycle monitor 140, with tools access / planning entries, etc.

In an embodiment, the user interface 102 may be enabled for use in action on a device 108, computer, server, kiosk or the like, on an online platform 120, on a mobile platform 124, and the like. Any and all aspects of the user interface 102 described herein may be applicable to the user interface 102 operating in any environment.

In an embodiment, the user interface 102 for the device, as will be described hereinafter, can be integrated with the device 108, such as materialized in the keyboard of a communication device or in the rows of buttons, switches, keys, etc., located in the device 108, or may be external to device 108, such as a program running on a computer, on the Internet, in a mobile communication device, on an online platform 120, on a mobile platform 124, and the like. The user interface 102 can be used to improve the environment of the device 108, such as an amplifier, light source, light intensity, wavelength of light, angle of incidence of light, electrical and magnetic properties of light, location of the sensor, duration of image capture, image size, storage data, data transfers, etc.

Referring to FIG. 5, it can be seen that the user interface 102 can organize and index images captured to date, the area being examined, skin conditions, and the like. For example, and without limitation, as can be seen from FIG. 5, four images captured (recorded) from the same study area are indexed by their numbers within the series. In an embodiment, the user interface 102 may show in real time a specific field on the skin that is captured, as well as populate the user interface 102 with images if they are received or presented by the user. The user interface 102 may store the path of the first image, the last image, the next image, and the like. The user interface 102 may allow users to move images and use images as the basis for simulating 132, as described here. A user interface 102 may be used to send a reminder for the next image capture. A user interface 102 may be used to report on images and skin condition 158. A user interface 102 may be used to report to a practitioner. In an embodiment, a user interface 102 may be used to start skin type testing. In an embodiment, the user interface 102 may capture the shape of the body. When the user interacts with the illustration of the body, since by means of an indicating device, the parts of the body that are depicted can be associated with the images so that the images can be displayed on the screen or otherwise accessible. The user interface 102 may be adapted to collect data from the user in response to directions. User interface 102 may use algorithm 150 to control the integration of captured images. The user interface 102 may direct the user to the captured images and provide user input in connection with the images.

In an embodiment, the user interface 102 may communicate with host hardware 108 or third party hardware 109. The apparatus 108, 109 may include an image device that can connect to a computer, online platform 120, mobile platform 124, and the like. through the user interface 102, and enables users to capture an image, and which makes it possible to measure various skin health, conditions and type of parameters. Hardware devices 108, 109 may be stand-alone devices or connected through or be part of a computer device, or for medical or non-medical use. A user interface 102 may guide the connection process of hardware devices 108, 109. Devices 108, 109 may store images, reports, and recommendations generated and maintained by the image repository as part of a skin health record. This makes it possible to systematically maintain a record of skin health 121. Third party equipment 109 may include devices such as humidity sensors, cosmetic analysis machines, dermoscopes, cameras, X-ray machines, magnetic resonance imaging devices, medical recording and program providers, web cameras, communication devices, etc. Third party equipment 109 may seamlessly connect to system 104 to enable the user to significantly improve analysis and share this data set with other experts or users.

In an embodiment, the user interface 102 makes it possible to have a type of definition 130. Characteristics can be captured to determine the characteristics of the skin and the condition of the skin 158 of the user. The boundaries of genetic parameters such as ethnicity, skin color, location factors, environmental factors (such as pollen, weather, etc.) and lifestyle factors can be collected in addition to the image and skin health data to determine user's skin condition 158. Skin condition 158 can be correlated with an experienced product classification and rating of 138, which makes it possible to provide recommendations for more effective products.

The user interface 102 may display mode 118. Mode 118 may be a feature that enables users to examine which products and which product use pattern should work best for their skin based on an assessment of skin care 160 and / or determination type 130 and experience product distribution through classification and rating 138, and / or comments regarding product performance and experience (such as smell, taste, feeling, texture, color, etc.). Mode 118 may be dynamic recommendations based on collective user inputs as well as product expert inputs that should be most appropriate for individual user requirements.

In an embodiment, the user interface 102 makes it possible to have modeling tools 132. Users may be able to download the image and model of various skin parameters (such as skin moisture level, collagen level, age, etc.) and observe changes in the image. Additionally, users may be able to simulate the effects of various products and modes 118 (skin care, cosmetics, medicines, nail care, hair care, etc.) on the image. Modeling tools 132 enable users to see changes in the entire image or a single half of the image to show a comparison of the simulated change with the current image. User images can also be automatically or manually optimized for the best view and products or mode 118 to get this view. Simulation tools 132 also enable consumers to simulate the skin characteristics or condition of 158 other selected users or non-users, such as celebrities, luminaries, regular users, etc.

In an embodiment, the user interface 102 makes it possible to have a daily report 134. The daily report 134 may be a report that provides the user with more consumer and most relevant information for the user based on his skin condition 158. The daily report 134 may list skin care modes 118, which should be followed, based on the environment and lifestyle factors relevant to the user, can indicate information about the new product 190, show the duration of skin care 114 and classifications tion 138 or a change in the classification 138, feedback from users and experts 105 on products most relevant to the user, etc. Daily report 134 may include information on clinical trials and results obtained, reports on a new product and its status, cases, various factors affecting the skin, such as daily weather prediction, UV index, temperature, pollen count, etc. ., and other data to provide evidence to the user. Daily report 134 may indicate whether a product is close to its expiration date, or may require replenishment based on a recommended usage protocol. The daily report 134 may be provided to the user with a user interface 102, paper, e-mail, CMC, PCC, video, or any other means of communication.

In an embodiment, the user interface 102 makes it possible to have a list of requirements 134. The list of requirements 134 may have a function in which the user can select and add products so that other people can see this list 134. Other users could then select products from the list of requirements 134 and buy and send the product to the user.

In an embodiment, the user interface 102 makes it possible to classify and provide a rating of 138. Classification and rating of 138 may be performed for various product characteristics, as well as various rating and rankings. Experience in using the product can be collected from users in a simple classification and rating format 138, as well as in textual data comments, to be stored in a database. This classification and rating 138 can be performed in real time and can be synthesized to show what is most relevant to a user based on similar users or similar persons. In an embodiment, the user interface 102 makes it possible to have a skin cycle monitor 140. The skin cycle monitor 140 may indicate when the last image was collected and calculate the readiness for the next scan based on a time interval, such as the time required to restore the skin, or any other interval. It is currently assumed that self-healing (replenishment) of the skin occurs every 28 days. The skin cycle monitor 140 may take into account age, environmental changes, and other factors to indicate an incoming scan plan.

In an embodiment, the user interface 102 enables the prevention of health 142. The user interface 102 can collect lifestyle data and also provide a healthy lifestyle (such as sleep, rest, exercise, etc.) and a healthy state (through such as vitamins, food, use of products, etc.), recommendations based on the skin condition of specific users 158 and their characteristics. Prevention and Health Module 142 enables the user to get the personal best approximation of a healthy state and prevention to planning and mode 118.

In an embodiment, the user interface 102 allows for adversarial processes 148. The user may be able to play games 148 that enable the user to model different products, try to have different hairstyles, model different hairstyles and clothes, and the like. The user can interact with other users or a computer to make a product choice in a playful way. This process could also be used to collect information according to user preferences and to review it.

In an embodiment, the user interface 102 makes it possible to select a gift 144. Based on the skin condition of the user 158, a personal gift message can be provided to the user.

In an embodiment, the user interface 102 may be materialized into touch screen user navigation. The touch screen system can be operated to enable the user to obtain visual viewing and navigation to various parts of the user interface, such as navigation to modeling tools 132, a changed orientation picture, slow movement and deletion, etc. Touch screen navigation can, in particular , assist when the hardware device 108 is connected to a computer platform. The user interface 102 also enables the collection and coordination of information from other devices 109 and / or evaluations, such as dermoscopy, blood data, biopsy data, and the like, to provide additional information for recording about the skin.

In an embodiment, the user interface 102 makes it possible to have a purchase portal / purchase sample. The user interface 102 may include a purchase / product sample portal that can enable the user to select products and complete purchases or product requests so that they are delivered to the specified address. The portal may be available for various platforms of social networks 188, as well as for various computer platforms, such as online platform 120, mobile platform 124, computer, laptop, mobile phones, other mobile devices used in medicine, etc.

In an embodiment, the user interface 102 enables scheduling and distribution of functional data. The user may be able to schedule appointments online with private experts or practitioners and, if desired, then distribute questions according to skin condition 158 or specific parts of skin record 121 and the medical history, in part or in whole, to experts or practitioners. Ranked experts and practitioners, accessibility and other criteria to help select and plan a process can be specified to the user. Experts may also be able to distribute specific data sets among their own kind, such as practitioners, general practitioners in other areas, general practitioners from sanatorium institutions, from sanatorium institutions to sanatorium institutions, etc.

Other inputs 112, such as devices, features, and data, can be used in addition to user-submitted data or primary data to provide a personal assessment of the user's beauty, cosmetics, or medical applications for skin, hair, nails, etc. . For example, certain devices may be commercially available by time, purchase opportunity, patentability, etc.

In an embodiment, the wear monitor 182 may be an input 112 to the system 104 and user interface 102. The wear monitor for skin health 182 allows real-time monitoring of environmental and skin health changes. These devices can be mounted directly on the body, or can be integrated into clothing, items of clothing and / or accessories located on the user. For example, there could be a user having a device that monitors ultraviolet radiation and provides a warning if the level of solar protection corresponding to the products used by the user has fallen below the level of the selected destination. These worn-out monitors 182 may have independent user interfaces 102 or may be programmed for personal parameters using other input devices. A worn out monitor 182 can also capture various physical parameters like heart rate, blood pressure, range of exercise, water consumed, fat value, calories, and the like.

In an embodiment, product information 190 may be input 112 to system 104 and user interface 102. Product information database 190 may include product, name, application, manufacturing information, classification and rating 138, packaging information, images, usage parameters , product development history or forecasting, special control, changes coming, safety information, efficiency information, smell, taste, color, texture, price, geography of manufacture, information on sales Such as customer feedback and application experience and other similar parameters that can be obtained and / or maintained to help select the best products that are acceptable for the preferences of specific users or the conditions for obtaining the best medical result or for beauty for skin, hair, nails etc. Additionally, similar information on product service services, such as massages, facials, hair tones, etc., can also be recorded, as well as information on procedures such as body restoration, Botox treatment (botulinum toxin injection), laser hair removal and other procedures for beauty, cosmetics, and / or medical procedures related to improving the appearance, improving or maintaining the condition of the skin 158, etc. Manufacturers can register product information 190, provide information about procedures, products through information channels, products in clinical trials, etc. Users can classify and rate 138 products. An improved utility database can modify the database with new product information 190, an assortment stored, and the like.

In an embodiment, prophylaxis information 192 may be input 112 to system 104 and user interface 102. Health and prophylaxis information 192 may be captured, such as exposure to various products, primary but unlimited prescription of medications, nutritional supplements, and other consumer information, which can help and support health and provide prevention (such as vitamins, a range of proteins, nutritional supplements, etc.). Additionally, information on lifestyle recommendations (such as sleep, rest, diet, and exercise recommendations for specific age groups / ethnicity groups, etc.) can be collected and correlated with the preferences and characteristics of the user in order to be able to and provide comprehensive health, prevention and the best personalized solution and beauty / cosmetics service.

In an embodiment, the web-based recording plug-in 194 can be input 112 to the system 104 and user interface 102. The plug-in program for the Internet web browser and the basket or repository can recognize graphic objects on any browser web page and allow the user to select and slowly move / delete a graphic in the basket or a repository on a web browser page, such as a page containing skin care paths 114. Graphic objects can be recognized through a standard link table that can be accessed by dist ntsionno or while on the user's computer as part of a plug-in module 194, or as part of existing software resources on the computer platform. Graphic objects may include images of commercial products, such as skin care products or creams, or other objects that are part of any commercial website. When the objects are recognized, the plug-in 194 can highlight on the screen a picture notifying the user that he is recognized, or provide additional information or a link. Plug-in 194 can also recognize the brand name, sales name, generic pharmaceutical name, trademarks, etc.

In an embodiment, barcode scanner 198 may be an input 112 to system 104 and user interface 102. Barcode information for various products may be captured to help track, identify, price, and correlate with other product information 190 for the identity of such replaceable products, or with other similar information about products, recommendations for use, other experience with use, information about the cost and delivery of other relevant data sets. Barcode scanner 198 may be part of a user’s handheld device 108, an autonomous system, a manual input mechanism, and the like.

In an embodiment, the routine information / questionnaire 101 may be an input 112 to the system 104 and user interface 102. Information 101 on users and products can be captured through dynamic and static questions. Information such as age, gender, location, personal lifestyle choices, smoking habits, type of sleep, skin dryness / fat content and moisture level, food cravings and dislikes, experience of taking other products with parameters such as smell, taste, consumption, the tendency to stains, etc., can be fixed in a game manner, using questions and answers, games and other interactive tools inserted at different points in the interaction of users with the product service, system 104 or interface p ELSE 101 102. Information can be written directly by the user or through an intermediary, and automatically extended through the dissemination of computer data as output information 150 or algorithm experts, based on their assessment. Information 101 can be obtained by asking, in the form of a badge, widget, on the fly, through adaptive, inquiring questions, etc. Information 101 can be obtained through questionnaires, such as “How often do you go shopping ?, When did you go to the cosmetics store ?, Where do you usually go ?, Where does this spot come from ?, Who goes shopping with you ?, Why? What do you ask friends when you ask about the news ?, Where do you go for new products / information about cosmetics? When should you keep a secret online purchase ?, When would you like to know something immediately from your friends ?, What do you ask your friends ?, How do you choose a mobile phone ?, What do you keep e in your cell phone menu ?, When you get a new cell phone ?, etc.

In an embodiment, third-party experts 105 may be input 112 to system 104 and user interface 102. System 104 may connect various experts, such as a practitioner, therapist, medical experts, aesthetics, planners, food ingredient experts, cosmetologists, herbalists, Ayurvedic experts and homeopaths, experts in healthy condition and health prevention, media experts, experts in improving the quality of photographs, etc., with users and with each other. Users may be able to send questions to experts 105 who may be located in different geographic locations regarding the system to receive a personalized message. Experts 105 may be provided with collected data and user characteristics, and a record of expert evaluations may be maintained in a record 121. Recommendations provided by experts may be offered to the user by appointment / request example, etc. Experts may also be able to provide indications of specific cases or datasets for discussion or links within an expert association or with users.

In an embodiment, the hardware of third parties 109 may be input 112 to system 104 and user interface 102. The system may connect to various third-party hardware equipment 109, such as existing image solutions, camera devices, computers, lighting systems, sports devices, such as pedometer, etc.

In an embodiment, third party service providers 111 may be input 112 to system 104 and user interface 102. Third party service providers 111 may be integrated into system 104 to enable users to purchase the best personalized product or make a service choice for their hair, skin , nails, etc., for medical or cosmetic / beauty requirements, etc. Third Party Service Providers 111 may include hospitals, therapists, spa facilities, salons, aesthetics, cosmetologists, cosmetic stands, pharmacies, cosmetics and website sales representatives, classification and rating services, product information databases, research laboratories , magazines and information providers, insurance companies, social networking sites, health and prevention services, an improved photography service, etc. For example, based on skin complaints, the GP's planning system can be integrated and a planning option offered to online users is offered, while also connecting with insurance providers to confirm user coverage. Additionally, a preliminary assessment of the conditions, availability of used medical and / or cosmetic products prescribed either in a pharmacy or medical prescription and / or recommended by services can be fixed to make the selection process convenient and easy for the user.

Referring to Fig. 7, it can be seen that a system for providing skin care recommendations based on skin condition 158, skin care goals and environmental factors affecting the skin, may include obtaining a skin condition 158 of an individual, determining the category of an individual skin 158 and recommending products and regimens that can be effective in achieving the goal of skin care. The system can be based on a computer, the Internet, a network, etc. In an embodiment, recommendations can be made based on identifying other users with similar skin conditions and identifying a product or regimen that is effective for them. In an embodiment, recommendations can be made based on product information 190, prevention information 192, third party databases 115, experts 105, service provider 111, and the like. As can be seen from FIG. 7, a user can acquire an initial image and perform an analysis for a specific expected result, such as, in this case, humidity. The system can automatically recommend certain products based on the level of humidity, which can be effective taking into account the level of humidity, skin condition, etc. Additionally, the system can execute a skin condition project 158 based on various skin care modes 118, such as maximum care, normal care, or less care. In an embodiment, images may be captured (recorded) using a device 108 or third party hardware 109. Images may be captured (recorded) using any recording device or any technique that exploits any type of incident light, such as non-polarized light, polarized light, monochromatic light, diffusion light, white light, light of many individual wavelengths, etc. Any captured image can be used to obtain the skin condition 158.

In an embodiment, the skin care recommendations page of the skin care system may include a report on the products that the user is currently using, user input for the skin condition 158, requests for recommendations, and the like. A report on the products that the user is currently using may include classification or ratings 138. For example, when the user has access to the user interface 102, he may have access to an adaptive questionnaire to determine the experience with the currently used mode 118. products or therapies, or any 118 products or regimens used in the past. Users may be asked to answer questions such as: What is their effectiveness ?, How do they smell ?, How are they absorbed ?, Do they cause a sudden negative manifestation ?, How does it feel ?, Do you think this product is good ?, and etc. Of course, classification and ratings do not have to be prompted by questions, but simply can be random, not deployed in a question format, used in a drop-down menu, etc. In order to obtain a skin condition 158, a user may enter data related to aspects such as gender, age, ethnicity, location, skin color, environmental factors, and the like. In an embodiment, the analysis of 154 images received from the device 108 or from third party hardware 109 can also be used to determine the condition of the skin 158. Based on the condition of the skin 158, or based on an analysis of the images or combinations thereof, from user input, users may be able to identify products and modes 118 that can best affect their skin condition 158 by connecting to a database containing information on prevention 192, mode 118, from expert 105, service about provider 111 and product information 190, where the information may include product ingredients, product applications, product directions, product pairs, product usage protocol, product classifications and ratings 138, and the like. By incorporating classifications and ratings 138, recommendations can be made for skin products adapted to age, skin color, location, ethnicity, environmental factors, etc. In an embodiment, the user can fulfill recommendations requests that may involve choosing a skin care goal, such as moisture, protection, cleanliness, tint, beauty, aging retardation, anti-wrinkle protection, skin density, cleaning depth, pore reduction, treatment of redheads, peeling, skin brightness, sun tanning, sun protection, self-tanning, acne treatment, elimination of tuberosity, improvement in lightness, skin rejuvenation, stain treatment, cracking, hair removal, scar treatment, etc. In an embodiment, the skin assignment can be automatically selected by system 104. Automatic selection can be based on an aspect of skin condition 158. For example, if analysis 154 finds that the skin is significantly dry, the system may recommend moisturizing products for significantly dry skin, or the system may recommend ingredients for viewing in the product. The user may be able to purchase products directly from the recommendation page, in such a way as by placing the product in the electronic shopping card 113, or may refer to another website for the purchase. In an embodiment, the user may be able to obtain samples of recommended or non-recommended products directly from the recommendations page. Shopping card 113 may have functionality that integrates with a skin care period of 114. Users may be able to use personalized recommendations and choose products for either purchase or sample delivery. The user may be prompted for personal information, such as address, delivery method, credit card number, etc., while the information may be stored by the purchase card 113.

Referring to FIG. 8, you can see that it shows the home page 800 of the user interface 102 of the skin care system 104. The user can be prompted to enter demographic information, such as name, gender, age, profession, identification code, address, phone number, email address , billing information, new family relationships, etc., which may be stored as user data or as part of a skin record 121. The home page may show a skin record 121, or a list of areas depicted, image dates and status Isa. When the task is completed in the medical history / skin record 121, the icon can be reproduced near the status. The user may be able to launch a new skin health test from the 800 home page or submit new skin complaints. The user may be able to direct analysis 154 to the person concerned; ask the expert a question regarding the skin aspect, medical history / record 121, image analysis, etc .; type of payment information and medical history, etc.

Referring to FIG. 9, it can be seen that it presents a welcome page 900 for a skin health test. The welcome page can provide information about the skin health test, which critical points will be tested, such as elasticity, wrinkles / small, fine wrinkles, sun damage, blush / brightness, etc. Using the analysis of the skin health test, the system can provide a personal assessment of the skin regimen of 118 users. The user can initiate a skin health test from the welcome page 900.

Referring to FIG. 10, it can be seen that a page of a skin care system questionnaire 1000 is presented therein. The questionnaire can record a relevant history of skin disease, which may be useful for subsequent image analysis. Questions can be asked in multiple choice form or as complementary questions. For example, the question may be: Where do you use your product ?, with answers that include the face, arms, neck, legs, torso, etc. Another question may be: Why are you using your product ?, with answers that include protection, restoration, moisture and other skin care goals. Another question may be: Why do you use / will you use your product ?, with answers that include reducing wrinkles / fine, fine wrinkles, increasing lightness / brightness, increasing softness / elasticity, and any other skin care application. Other questions may include: How long have you been using your product ?, How often do you use your product ?, When do you use your product ?, etc., with answers that include set time intervals. Other information gathered may be how the user prefers to notify where the products were assigned, if the user uses seasonal use of the products, etc. From the page of the questionnaire 1000, the user can run a skin health test.

Referring to FIG. 11, it can be seen that it shows a capture page 1100 of a skin care system. In the example, the user interface 102 may have access to the device 108 in order to capture photographs, however, it should be understood that other devices 109 can be used in the usual way in the system. Page 1100 may show a real-time view of the displayed area. The user may be able to use positioning means to take an accurate image of the area depicted previously. When the image is captured and presented, the algorithm 150 can verify the integrity of the image. When an image suitable for analysis is recorded, the user can proceed to analyze the page 1200.

Referring to FIG. 12, it can be seen that it presents a histogram skin care results page. Algorithms 150 may be used to analyze the image and provide measurements of wrinkles, elasticity, brightness, strength, density, and the like, as previously described herein. In an embodiment, the measurements may be quantitative measurements. The first analysis can be considered as a baseline (starting point) to track the analysis. For each measurement, the user can compare it with the baseline by age, skin condition, gender, ethnicity or any other category. For example, a graph represents a reading for the user in the first column on each graph and an average baseline for people of the same age in the second column. From visual viewing it is clear that the user testimony is better than the average value in this case. These results can be color coded for easy interpretation. The results page 1400 may include a description of each measurement. The user may be able to request more information for each measurement, such as what caused certain conditions, advice, and brief instructions on how to improve skin conditions. The user can be instructed in case of rescan area, which products to use, which modes 118 to apply, etc. Desired improvements can be calculated and the ingredients and the most effective products for the skin of the user can be recommended. The user may have access to and / or edit the skin record 121, which may contain information regarding the user, images, image history, information derived from images, recommendations, products, mode 118, and the like. The user can have access to the report tools to receive the report.

Referring to FIG. 13, it can be seen that it presents a results page of a skin care system with a trend of analysis. A method for searching for the effectiveness of a skin care product or regimen may comprise obtaining an assessment of a baseline of skin health, recommendations for a monitoring interval based on at least one of: a skin care goal, product and regimen; obtaining a second assessment of skin health; comparing the second assessment and the baseline assessment to determine the direction of progress towards the goal of skin care; and, if desired, optimizing regimen 118 or the product in order to improve the assessment of skin health. When a subsequent image is obtained and presented to the system 104, an analysis trend may be fulfilled. The following images can be used to find the effectiveness path of products and / or modes 118 and, ultimately, and to inform the user about the optimization of skin care 118, product and / or conditions. An analysis trend may be useful in determining the intermediate state of the skin 158 during application of regime 118. Progress can be shown in time. Temporary series of images, such as a twenty-eight day skin cycle, treatment time frame, seasonality, periodicity per year, etc., can be captured in order to find a way for the progress of the skin condition 158. Data can be presented in illustrative form with data in the picture, in graphical form, in the form of trends, in quantitative form, in text form, etc. Progress can be sorted by complaints / skin care goals that the user can indicate at the start of testing. The user can tell when to take the next image, how long to continue the mode, how to modify mode 118, be satisfied with the effectiveness of the product or mode 118, can get useful directions, etc. The user can see and / or edit the skin record 121. The user may be able to see past images and perform simulation 132 of future progress. The user can have access to the report tools to receive the report.

Referring to FIG. 14, it can be seen that a summary screen of a skin care system is presented therein. Widespread time interval analyzes, actual measurements, progress towards the skin care goal, product rating, mode 118, a message about continuing, modifying, or ending mode 118 or using the product, etc. may be shown. The user can see the analysis step by step, or get a complete report. For an interval, such as the end of the presented mode 118, the report may include information on how the skin condition of the user 158 changed in time if the skin of the user became healthier than when they started using mode 118 if the product or mode 118 found their initial goals, feedback on the effectiveness of regime 118 / product, etc. Given the current state of the skin 158, a new product or regimen 118 may be recommended. For example, the system may recommend specific ingredients to find them to increase the brightness of the user's skin, given the current state of the skin 158. Reports can be presented on screen, printed, made to order etc. Reports can be used in conjunction with a practitioner for ongoing treatment and counseling.

Referring to FIG. 15, it can be seen that there is presented a page of total elasticity 1500 of a skin care system. An analysis of each indicator can be performed step by step. For example, FIG. 15 shows a step-by-step analysis of an elasticity measurement. The summary page 1500 may represent all the data captured in the interval, such as a histogram, for each indicator on separate summary pages 1500. Progress towards meeting the goal of skin care can be indicated by data and analysis or from user input. Evaluation of a product or user regimen 118 may be made in accordance with a skin care purpose. Products or modes 118 that may meet future requirements may also be indicated. The system may also indicate products used or modes 118 used by other users to meet the stated skin care purpose.

In an embodiment, a system for providing skin care recommendations based on skin condition 158, skin care goals, environmental factors affecting the skin, may comprise interacting with tools and algorithms 150 on online platform 120, on mobile platform 124, an interface social network and the like, in order to get a product and recommendations on the mode and ways of finding the effectiveness of the product and mode 118. The user interface 102 can be on the online platform 120, on the mobile platform 124 or the social interface th network and guide the user, and, in addition, also serve as a data repository to maintain a record of the skin 121, ways of using the tool, and can help the user to collect information relevant to the conditions in a logical form.

Claims (17)

1. A non-invasive device for acquiring an image, comprising: a lighting source including an incident light source to direct light to the skin or other material surface, where the incident light source is configured to emit unpolarized and / or polarized light;
optical means for detecting light reflected from the skin or from another material surface;
a detector for detecting the degree of polarization of light reflected from the skin or from another material surface, and
a sensor that processes the light detected by the optical means to obtain an image of the skin or other material surface.
2. The device according to claim 1, where the light source is positioned so as to direct light at a selected angle alpha.
3. The device according to claim 2, where a different angle alpha varies the depth of measurement of the layers of the skin or other material surface.
4. The device according to claim 3, where each depth has a specific angle at which the light reflected from the skin or other material surface is completely polarized.
5. The device according to claim 1, adapted to interact with the physical interface to load at least one of the detected light and the detected degree of polarization to improve the recording of at least one of the practitioner, sanatorium, health resort, salon, cosmetic sales, cosmetics manufacturer, clinical trial database and third party database.
6. The device according to claim 1, additionally containing communication means that transmits at least one of the detected light and the detected degree of polarization, where the transmission is via a network, such as a local area network or a network with Internet access.
7. The device according to claim 1, additionally containing storage means that stores information collected by the device.
8. The device according to claim 1, additionally containing a main system connected to a detector and capable of generating an assessment of skin conditions based, at least in part, on the degree of polarization.
9. The device of claim 8, where the main system contains a tool for recommendations, which provides recommendations for the product and skin care regimen based at least in part on the degree of polarization.
10. A method for determining the condition of the skin, comprising:
illuminating the skin with an incident light source that emits unpolarized and / or polarized light;
filtering the light reflected from the skin to obtain polarized light with a wavelength determined by the output filter;
detecting the degree of polarization of light reflected from the skin; and
determination of skin condition based on the polarization aspect of reflected light.
11. The method according to claim 10, in which the incident light is directed at a selected angle alpha.
12. The method according to claim 11, in which a different angle alpha varies the measurement depth in the skin, where the measurement depth is correlated with one or more layers of the skin.
13. The method according to item 12, in which each depth has a specific angle at which the light reflected from the skin is completely polarized.
14. The method of claim 10, wherein the polarization aspect is at least one of orientation, amplitude, phase, angle, shape, degree and amount of reflected light.
15. The method according to item 12, in which the determination of the skin condition is performed using the algorithm.
16. The method according to clause 15, in which the algorithm involves at least one of an artificial neural network, fuzzy logic, fractal and multifractal analysis.
17. The method according to claim 10, in which the determination of the skin condition further comprises examining at least one of a user input and visual analysis of the obtained skin image.
RU2009124425/14A 2007-01-05 2008-01-07 System, device and method of skin image RU2422081C2 (en)

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