KR102329641B1 - Method of analyzing hair condition and apparatus and system of providing hair information - Google Patents

Abstract

The present invention discloses a hair condition analysis method and a hair information providing apparatus and system using the same. According to the present invention, a hair condition analysis method includes: obtaining a hair image; classifying the type of hair root into a single hair root or n-fold (n is an integer greater than or equal to 2) hair root by analyzing the hair image; and calculating the number of each type of hair root.
According to the present invention, by analyzing the hair image in real time using artificial intelligence, the user can quickly and accurately check the condition of his/her hair without visiting a hospital. In addition, by providing information on the number or density of hair, as well as the type of hair root, the number of multiple hair roots, the rate of hair loss, and a time series graph, the user can more accurately check the condition of their hair.

Description

Method of analyzing hair condition and apparatus and system of providing hair information using same

The present invention relates to a method of analyzing a hair condition, and more specifically, a method and apparatus capable of analyzing a camera image to collect and analyze information about the number and density of hair as well as information about the hair root and provide it to a user in real time is about

In general, hair loss is divided into male pattern hair loss and female pattern hair loss, which progress slowly due to genetic causes, and alopecia areata due to abnormalities in the autoimmune system, telogen hair loss due to stress, side effects of drugs, and the like.

Since the causes of hair loss are very diverse as described above, for effective hair loss treatment, it is desirable for the patient to accurately check his/her own hair condition and to actively treat it from the beginning.

Recently, small scalp cameras are widely available, so anyone can easily check the state of hair loss by photographing their own hair at home without visiting a hospital.

However, even if a high magnification image is taken using a scalp camera, users without professional knowledge have no choice but to simply check the density of hair on the screen. Therefore, there is a limit to the user's ability to accurately check his/her hair condition in real time.

On the other hand, the part of the hair that grows in the hair follicle inside the scalp is called a hair root.

In general, in the case of Westerners, the ratio of multiple hair roots growing from one follicle to two or three hair follicles reaches about 95%, whereas in Asians, it is known that the ratio of multiple hair roots is less than 50%.

When the ratio of multiple hair roots is high, the hair is not only abundant compared to the number of hair follicles, but also the rest of the hair continues to grow even if one hair is lost.

However, conventionally, only a technique for checking the number or density of hair using a camera image is known, and a method for analyzing the type and number of hair roots is not known at all. There was a problem that was difficult to do.

Registered Patent No. 10-1539267 (published on July 24, 2015)

The present invention was devised against this background, and it is an object of the present invention to enable a user to quickly and accurately check his/her hair condition without visiting a hospital by analyzing a hair image with artificial intelligence.

In addition, the purpose is to provide users with more diverse information about the hair condition by checking the type and number of hair roots through hair root analysis and analyzing the rate of hair loss, etc.

In addition, the purpose is to provide a fun factor to reduce the user's stress even a little during the hair loss treatment process.

In order to achieve this object, a first aspect of the present invention comprises the steps of: acquiring a hair image; classifying the type of hair root into a single hair root or n-fold (n is an integer greater than or equal to 2) hair root by analyzing the hair image; It provides a hair condition analysis method comprising the step of calculating the number of each type of hair root.

In the hair condition analysis method according to the first aspect of the present invention, in the step of classifying the type of hair root, a hair image may be input to an input terminal of a pre-trained AI-based hair root analysis model.

In addition, in the hair condition analysis method according to the first aspect of the present invention, in the step of classifying the type of hair root, the end points of each hair are extracted from the hair image, and then the distance between the end points is calculated, and the distance between the end points is adjacent within a set value. When the number of hairs is n (n is an integer greater than or equal to 2), the corresponding hair bundle can be classified as an n-fold hair root.

Also, the hair condition analysis method according to the first aspect of the present invention may further include calculating at least one of the number of hairs and the density of hairs by using the number of each type of hair root.

A second aspect of the present invention provides a computer-readable recording medium in which a program for implementing the hair condition analysis method is recorded.

A third aspect of the present invention is a hair root analyzer that analyzes a hair image to classify the type of hair root into a single hair root or n-of-n (n is an integer of 2 or more) hair root and calculates the number of each type; a hair density analyzer for calculating at least one of the number of hairs and the density of hairs by using the number of each type of hair root; Provided is a hair information providing device including a communication unit that communicates with an external device through a communication network.

In the hair information providing apparatus according to the third aspect of the present invention, the hair root analysis unit includes a pre-trained artificial intelligence-based hair root analysis model, and inputs a hair image to the input terminal of the hair root analysis model to classify the type of hair root. can

In addition, in the hair information providing device according to the third aspect of the present invention, the hair root analysis unit extracts the end points of each hair from the hair image, and then calculates the distance between each end point, and the number of adjacent hairs with a distance between the end points within a set value If there are n (n is an integer greater than or equal to 2), the corresponding hair bundle can be classified as an n-fold hair root.

In addition, the hair information providing apparatus according to the third aspect of the present invention may further include a hair loss progress analysis unit for calculating the fluctuation range for each type of hair root.

In addition, the hair information providing device according to the third aspect of the present invention is a game in which at least one item from among the number of hairs, the density of the hair, the increase/decrease of the number or density of hairs, the number of multiple hair roots, and the increase/decrease width of multiple hair roots, is competed with another person. It may include a game execution unit that provides an interface.

A fourth aspect of the present invention is a hair root analyzer that analyzes a hair image to classify the type of hair root into a single hair root or n-of-n (n is an integer greater than or equal to 2) hair root and calculates the number of each type, and the number of each type of hair root using a hair information providing device having a hair density analyzer that calculates at least one of the number of hairs and the hair density; Provide a hair information providing system comprising a server having a database for storing hair condition analysis results received from a plurality of the hair information providing devices for each user, and a game support unit supporting a game in which users compete for the number of multiple hair roots. do.

In the system according to the fourth aspect of the present invention, the server includes a statistical analysis unit for statistically processing the hair analysis results received from a plurality of the hair information providing devices, and a hair loss progress analysis unit for calculating the fluctuation range of each type of hair root for each user. It may include at least one of

According to the present invention, by analyzing the hair image in real time using artificial intelligence, the user can quickly and accurately check the condition of his/her hair without visiting a hospital.

In addition, by providing information on the number or density of hair, as well as the type of hair root, the number of multiple hair roots, the rate of hair loss, a time series graph, etc., the user can more accurately check the condition of their hair.

In addition, by providing various statistical indicators and game functions, it is possible to motivate users for hair loss treatment, and to reduce stress caused by hair analysis by providing fun elements such as games.

1 is a schematic configuration diagram of a hair information providing system according to an embodiment of the present invention;
2 is a block diagram of an apparatus for providing hair information according to an embodiment of the present invention;
3 is a functional block diagram of the hair condition analysis unit
4 is a block diagram of artificial intelligence for analyzing hair roots
5 is a diagram illustrating the architecture of a deep learning analysis model
6 is a diagram illustrating an example of a hair root classification screen using artificial intelligence
7 is a view showing another embodiment of a method for classifying hair roots
8 is a diagram illustrating a screen for visualizing hair density
9 is a block diagram of a server according to an embodiment of the present invention;
10 is a functional block diagram of the hair condition analysis unit of the server
11 is a flowchart illustrating a hair analysis method according to an embodiment of the present invention;
12 is a flowchart illustrating a game method using hair information

Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the drawings.

For reference, in the present specification, if a part includes or includes any component, it means that other components may be further included or provided without excluding other components unless otherwise stated. In addition, when one element is connected, combined, or communicated with another element, it is not only directly connected, combined, or communicated with another element, but also indirectly through another element in the middle. It also includes connecting, combining, or communicating. In addition, when one component is directly connected or directly coupled to another component, it means that another element is not interposed therebetween. In addition, since the accompanying drawings in the present specification are merely illustrative for easy understanding of the gist of the present invention, it is clarified in advance that the scope of the present invention is not limited thereto.

As shown in the schematic configuration diagram of FIG. 1 , the hair information providing system according to an embodiment of the present invention provides a hair information providing device 200 through a camera 100 , a hair information providing device 200 , and a communication network 300 . ) and may include a server 400 that communicates with it.

The camera 100 is for photographing hair and is preferably a high-magnification camera capable of confirming the number of hair roots and hairs. The camera 100 may be a hair-only camera, or a camera mounted on a smartphone or the like.

The camera 100 may include wired and/or wireless communication means for transmitting the captured image to the hair information providing device 200 .

The hair information providing device 200 is a device that analyzes the number of hair roots, the number of hairs, the density of hair, etc. based on the hair image received from the camera 100 and provides it to the user.

The hair information providing device 200 may be a portable device such as a smart phone, a tablet, a handheld PC, a PDA, or a PMP personally used, or a desktop computer or a notebook computer. The hair information providing device 200 may be a computer device installed in a hair loss treatment hospital or a portable device of a doctor or nurse.

As illustrated in the block diagram of FIG. 2 , the hair information providing device 200 includes a processor 210 , a memory 220 , a hair condition analysis unit 230 , a statistical analysis unit 240 , and a game execution unit 250 . ), an input unit 260 , a display 270 , a communication unit 280 , a bus 202 , and the like.

The processor 210 executes a computer program stored in the memory 220 to perform a predetermined operation.

The memory 220 may store a computer program for the operation of the hair information providing device 200 , various parameters, data, and the like. The memory 220 may include a non-volatile memory such as a flash memory and a volatile memory such as a RAM. The memory 220 may include a mass storage device such as HDD, ODD, or SDD.

Some or all of the hair condition analysis unit 230 , the statistical analysis unit 240 , and the game execution unit 250 may be provided in the form of a computer program stored in the memory 220 and executed by the processor 210 . Also, it may be provided in the form of hardware such as an Application Specific Integrated Circuit (ASIC), or may be provided in an integrated form of hardware and software.

The input unit 260 is an input device for a user of the hair information providing device 200 and may include at least one of a keyboard, a button, a touch pad, a touch screen, and a mouse.

The display 270 may output the operation state of the hair information providing device 200 or the analysis result of the hair condition analysis unit 230 , the analysis result of the statistical analysis unit 240 , the execution screen of the game execution unit 250 , and the like. can

The communication unit 280 may include short-range wireless communication means such as Wi-Fi and Bluetooth for communicating with the camera 100 and wired or wireless communication means for communicating with the server 400 via the communication network 300 . .

The bus 202 is a data or electrical signal transmission path between each component of the hair information providing device 200, and may be provided in the form of a circuit pattern or a cable.

Meanwhile, as shown in the functional block diagram of FIG. 3 , the hair condition analysis unit 230 may include a hair root analysis unit 232 , a hair density analysis unit 234 , a hair loss progress analysis unit 236 , and the like. .

The hair root analysis unit 232 analyzes the hair image captured by the camera 100 to classify the type of hair root and calculate the number.

In the present specification, the types of hair roots are classified into single hair root, double hair root, triple hair root, quadruple hair root, etc., 'single hair root' means a case in which one hair grows in one hair follicle, and 'n hair root' is one It means that n hairs (n is an integer greater than or equal to 2) grow in the hair follicles of

A method of classifying the type of hair root in the hair root analysis unit 232 includes a method of utilizing the artificial intelligence for hair root analysis 500 and a method of using an image analysis technology such as OpenCV.

First, as illustrated in the schematic diagram of FIG. 4 , the hair root analysis artificial intelligence 500 includes a model generator 510 , a hair root analysis model 520 , an image preprocessor 530 , and an analysis result output unit 540 . ) and the like. Some or all of these functions may be provided in the form of a computer program stored in the memory 220 and executed by the processor 210, may be provided in the form of hardware, or may be provided in the form of a combination of hardware and software. may be provided.

In addition, at least one of the model generating unit 510 and the hair root analysis model 520 may be installed only in the server 400 .

The model generator 510 may generate the hair root analysis model 520 by, for example, learning a deep learning-based model architecture to which arbitrary weights are set.

The deep learning-based model architecture has one or more hidden layers between the input layer and the output layer as illustrated in FIG. By updating the weight ([W]1,,,,,[W]n) given between nodes (neurons) of the layer to an optimal value, the accuracy of the output value can be improved.

However, the hair root analysis model 520 does not necessarily have to be a deep learning model, and may be designed based on other types of machine learning models.

Meanwhile, the model generating unit 510 may include a data amplifying unit 512 and a model learning unit 514 . The data amplifier 512 serves to generate a plurality of modified images for learning from one image by applying various filtering elements.

In addition, the model learning unit 514 inputs a hair image labeled with a hair root type as shown in the right photo of FIG. 6 as an input terminal of the model architecture, calculates an output value (eg, hair root type, number of each type), and uses a back propagation algorithm The hair root analysis model 520 may be generated by repeating the task of updating the weight based on the output value.

The hair root analysis model 520 may classify the types of hair roots included in the input image by performing an artificial intelligence algorithm when the user inputs an actual hair image to check the state of his/her hair while calculating the number of each type.

The image pre-processing unit 530 may serve to extract a region of interest (ROI) from the hair image received from the camera 100 while scaling the image size to a set size. However, when the magnification and/or size of the hair image acquired by the camera 100 is constant, the image pre-processing unit 530 may be omitted.

The analysis result output unit 540 may output the analysis result of the hair root analysis model 520 to the display 270 under the control of the processor 210 or transmit it to the server 280 through the communication unit 280 . The analysis result output unit 540 may output, for example, a hair root type classification screen such as the right photo of FIG. 6 through the display 270 .

Next, a method of classifying hair root types using an image analysis technology such as OpenCV will be described with reference to FIG. 7 .

First, a simplified hair pattern is extracted from the hair image captured by the camera 100 . By applying a known image analysis technique, it is possible to extract such a simplified hair pattern from the hair image. (See Fig. 7(a))

Then, the endpoints of each pattern are extracted from the simplified hair pattern, and the distance between the endpoints is calculated using the coordinates of each endpoint. Calculation of the coordinates and distance of each end point can be calculated using information such as the magnification of the hair image and the pixels of the image sensor. (See Fig. 7(b), Fig. 7(c))

When all the distances between the end points are calculated through the above process, hair whose calculated distance is less than or equal to a set value (eg, 1 mm) is determined as multiple hair roots.

Specifically, if the distance between each end point of the two hairs is within the set value, the hair bundle is classified as a double root root. classify In other words, if the distance between the end points is within the set value and the number of adjacent hairs is n (n is an integer greater than or equal to 2), the corresponding hair bundle is classified as an n-fold hair root.

Through this method, the type of hair root included in the hair image and the number of each type can be calculated. (See Fig. 7(d))

Referring back to FIG. 3 , the hair density analysis unit 234 of the hair condition analysis unit 230 calculates the number of hairs and the hair density in the corresponding hair image by using the analysis result of the hair root analysis unit 232 .

For example, if the analysis result of the hair root analysis unit is 20 single hair roots, 5 double hair roots, and 3 triple hair roots, it is easy to find that the total number of hairs in the hair image is 39 (20 + 2*5 + 3*3). Able to know. In addition, when the number of hairs is calculated, the hair density of the corresponding region can be easily calculated.

On the other hand, it is of course possible to calculate the number and density of hairs without using the results of hair root analysis by using a known image analysis technique.

Meanwhile, as illustrated in FIG. 8 , the hair density analyzer 234 may visualize the hair density of the photographed area in various colors and then output it through the display 270 .

The hair loss progress analysis unit 236 compares the analysis results of the hair root analysis unit 232 and/or the hair density analysis unit 234 with past results to analyze the user's hair loss progress.

In particular, in an embodiment of the present invention, the hair loss trend and/or hair loss rate can be more accurately determined compared to a method of simply comparing only the number of hairs by calculating variation information for each type of hair root.

As an example, if the number of single hair roots increases and the number of double hair roots decreases, the single hair root remains the same, but it can be seen that the double hair root is lost and converted to a single hair root. As another example, if the number of multiple hair roots is increased, it can be seen that a new hair root that has been hidden from a single or double hair root has grown.

In this way, by comprehensively grasping the fluctuations of each type of hair root, the progress of hair loss, etc. can be more accurately determined.

The hair loss progress analysis unit 236 may determine the degree of hair loss and output the images of the front, middle, crown, back, etc. of the user's head in comparison with the known Ludwig Scale or Savin scale.

Referring again to FIG. 2 , the statistical analysis unit 240 of the hair information providing apparatus 200 according to an embodiment of the present invention stores the result value of the hair condition analysis unit 230 and calculates statistics in various ways. do. Statistical information may be provided in the form of a time series graph so that the user can easily check the hair loss trend.

The information provided from the statistical analysis unit 240 includes the number of single hair roots, the number of double hair roots, the number of triple hair roots, the number of hairs, the density of hair, the change trend of single hair roots, the change trend of multiple hair roots, and the progress of hair loss by imaging area. It may include information about the degree, etc.

However, the statistical analysis unit 240 may be installed only in the server 400 rather than the hair information providing device 200 .

The game execution unit 250 is to provide a fun element to the user, and provides a game interface that can compete with other users in various ways. The type of the game is not particularly limited, and the game can be played in various ways, for example, a contest for the number of hairs, a contest for the number of multiple hair roots, a contest for the rate of change of the number of hairs, a contest for the rate of change of multiple hair roots, and the like.

As shown in the block diagram of FIG. 9 , the server 400 includes a processor 410 , a memory 420 , a hair condition analysis unit 430 , a statistical analysis unit 440 , a game support unit 450 , and a communication unit 460 . ), an input/output unit 470 , a database 480 , a bus 402 , and the like.

The processor 410 executes a computer program stored in the memory 420 to perform a predetermined operation.

The memory 420 may store a computer program for the operation of the server 400 , various parameters, data, and the like. The memory 420 may include a non-volatile memory such as a flash memory and a volatile memory such as a RAM. The memory 420 may include a mass storage device such as HDD, ODD, or SDD.

Some or all of the hair condition analysis unit 430 , the statistical analysis unit 440 , and the game support unit 450 may be provided in the form of a computer program stored in the memory 420 and executed by the processor 410 . , ASIC, etc. may be provided in the form of hardware, or may be provided in an integrated form of hardware and software.

The communication unit 460 may include a wired or wireless communication means for communicating with the hair information providing device 200 .

The input/output unit 470 may include an input means for an administrator and an output means such as a display.

The database 480 stores information such as identification information such as ID of a user possessing the hair information providing device 200, hair condition information for each user, statistical information for each user, and game performance history for each user.

The bus 402 is a transmission path of data or electrical signals between each component of the server 400 and may be provided in the form of a circuit pattern or a cable.

As illustrated in FIG. 10 , the hair condition analysis unit 430 includes a hair root analysis unit 432 , a hair density analysis unit 434 , and a hair loss progress rate determination unit 436 , and each of these functions provides hair information. Since it is the same as the hair root analysis unit 232 , the hair density analysis unit 234 , and the hair loss progress rate determination unit 236 of the device 200 , a description thereof will be omitted.

Some or all of the hair root analysis unit 432 , the hair density analysis unit 434 , and the hair loss progress rate determination unit 436 may be installed only in the hair information providing device 200 without being installed in the server 400 .

Hereinafter, a method for providing hair condition information according to an embodiment of the present invention will be described with reference to FIG. 11 .

First, a user can use his/her smart phone as the hair information providing apparatus 200 by downloading a dedicated application for applying an embodiment of the present invention, installing it on his/her smartphone, and executing it.

In this state, the hair in the area to be inspected is photographed using the camera of the smartphone or the camera 200 connected to the smartphone by wire or wirelessly. (ST11)

When the hair root analysis unit 232 of the hair information providing device 200 includes the hair root analysis model 520 using artificial intelligence, a pre-processing operation such as scaling the photographed image to a set size is performed, If the size of the image is within the set range, pre-processing is omitted. (ST12)

When the hair image that has undergone the above process is input to the hair root analysis model 520 , the hair root analysis model 520 executes the learned algorithm to output the type of each hair root included in the hair image and the number of each type. (ST13)

When the type and number of hair roots are output from the hair root analysis model 520 , the hair density analyzer 234 may calculate the number and density of hairs in the photographed area using the output. (ST14)

Next, the hair loss progress analysis unit 236 compares the information such as the number of hair root types, the hair density, the number of hairs, etc. with the analysis results of the past to calculate the rate of change, and determines the hair loss progress status based on this. In addition, the calculated information is stored in the hair information providing device 200 or transmitted to the server 400 and stored in the database 480 , and is utilized for statistical processing in the statistical analysis units 240 and 440 . (ST15, ST16)

Meanwhile, in ST13, it has been described that the hair root analysis unit 232 analyzes the type of hair root using the hair root analysis model 520 using artificial intelligence, but as illustrated in FIG. 7 , the distance between the endpoints of the hair pattern As described above, it is also possible to check the type of hair root by calculating .

Next, a game method according to an embodiment of the present invention will be described with reference to FIG. 12 .

First, a user who wants to play a game requests a battle game to the server 400 after executing the game interface through the game execution unit 250 . The match-up game may be a one-on-one method, may be a method in which multiple players compete for ranking, or may be a one-on-one or multi-person competition by designating the age or gender of the game opponent.

Contest items, for example, the number of hair, hair density, increase/decrease in the number/density of hair, the number of double hair roots, the number of triple hair roots, the increase/decrease width of double hair roots, the increase/decrease width of triple hair roots, all items can be selected. . (ST21)

The game support unit 450 of the server 400, when there is a request for a game designating the opponent from the user, inquires about the participation intention to the designated opponent's hair information providing device 200, and if the opponent approves, game matching with the game applicant's device 200 Request hair imaging and analysis with notice.

On the other hand, when the game support unit 450 of the server 400 receives a game request of a multiple participation method from the user's device 200, it selects a plurality of people according to a set criterion from among unspecified people waiting after a game application, or the user After selecting a plurality of people according to a set criterion among people of a specified age group and/or gender, a game is matched, and a hair photographing and analysis is requested along with a game matching notification to each device 200 . (ST22, ST23)

Users who have received such a request use their respective cameras 200 to photograph hair in an arbitrary area or a designated area on the game screen, and use the hair condition analysis unit ( 230) to analyze it. At this time, it is possible to calculate the number of each hair root type, the number of hairs, the hair density, and the like.

Meanwhile, the captured image may be transmitted from the respective device 200 to the server 400 to request analysis. However, since the load is concentrated on the server 400 in this way, it may take too much time to determine the ranking if there are many game participants. Therefore, it is much preferable in terms of the speed of the game to perform hair analysis on the user's device 200 as there are more participants. something to do. (ST24)

Subsequently, the game execution unit 250 of each device 200 transmits the analysis result to the server 400 , and the server 400 determines the ranking for each item in comparison with the analysis result received from the device 200 of each participant. and transmits the result to each device 200 .

In this case, the rate of change of each item may be calculated using the past data for each participant stored in the database 480 , and the ranking of the rate of change for each item may be calculated and transmitted to each device 200 . (ST25, ST26)

The hair analysis method and the game method according to the embodiment of the present invention described above may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable recording medium.

In this case, the computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the recording medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art related to computer software.

The computer-readable recording medium includes magnetic media such as hard disks, SSDs, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and optical disks such as optical disks. It may include at least one of a magneto-optical medium, a ROM, a RAM, a flash memory, and the like.

In addition, the program instructions may include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

In addition, although preferred embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments and may be variously modified or modified in a specific application process, and the modified or modified embodiments are also described in the claims below. If it includes the technical spirit of the present invention disclosed in it will be natural to fall within the scope of the present invention.

100: camera 200: hair information providing device 210: processor
220: memory 230: hair condition analysis unit 232: hair root analysis unit
234: hair density analysis unit 236: hair loss progress analysis unit 240: statistical analysis unit
250: game execution unit 260: input unit 270: display
280: communication unit 300: communication network 400: server
410: processor 420: memory 430: hair condition analysis unit
440: statistical analysis department 450: game support department 460: communication department
470: input/output unit 480: database 500: artificial intelligence for hair root analysis
510: model generation unit 512: data amplification unit 514: model learning unit
520: hair root analysis model 530: image preprocessor 540: analysis result output unit

Claims (12)

obtaining an image of the user's hair using a camera;
inputting the user's hair image obtained from the camera into a pre-trained AI-based hair root analysis model;
The hair root analysis model analyzes the hair image to classify the type of hair root into a single hair root or n-fold (n is an integer of 2 or more) hair root, and calculating the number of each type;
Calculating at least one of the number of hairs and the density of hairs by using the number of each type of hair root
Hair condition analysis method comprising a. delete delete delete A computer-readable recording medium in which a program for implementing the hair condition analysis method of claim 1 is recorded. a camera for acquiring hair images;
An artificial intelligence-based hair root analysis model that analyzes a user's hair image acquired through a camera to classify the type of hair root into a single hair root or n-fold (n is an integer greater than or equal to 2) hair root and calculate the number of each type;
a hair density analyzer for calculating at least one of the number of hairs and the density of hairs by using the number of each type of hair root;
A communication unit that communicates with an external device through a communication network
Hair information providing device comprising a. delete delete 7. The method of claim 6,
Hair information providing device, characterized in that it further comprises a hair loss progress analysis unit for calculating the fluctuation range for each type of hair root 7. The method of claim 6,
Hair information comprising a game execution unit that provides a game interface that competes with another person for at least one item among the number of hairs, hair density, increase/decrease in the number or density of hairs, the number of multiple hair roots, and the increase/decrease in multiple hair roots provided device. A camera for acquiring a hair image, and an AI-based hair root analysis that analyzes the hair image acquired through the camera to classify the type of hair root into a single root or n-of-n (n is an integer greater than or equal to 2) hair root and calculates the number of each type a hair information providing device including a model and a hair density analyzer for calculating at least one of the number of hairs and the density of hairs by using the number of each type of hair root;
A database for storing the hair condition analysis results received from the plurality of hair information providing devices for each user; a statistical analysis unit for statistically processing the hair analysis results received from the plurality of hair information providing devices; Server having at least one of the hair loss progress analysis unit that calculates the fluctuation range for each type
includes,
The hair information providing device or the server, hair information providing system, characterized in that it comprises a model generator for generating the hair root analysis model by performing the learning of the artificial intelligence model using the training hair image labeled with the type of hair root. 12. The method of claim 11,
The server includes a game support unit for supporting a game in which users compete at least one of the number of multiple hair roots, the number of hairs, the rate of change of the number of hairs, and the rate of change of the number of multiple hair roots.

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