TWI737333B - Method for monitoring scalp, smart hair dryer and storage medium - Google Patents

Abstract

The present invention provides a method for monitoring scalp, which is applied to a smart hair dryer including a photographing device. The method includes: obtaining a plurality of head photos using the photographing device when the smart hair dryer is running; identifying a head region corresponding to each of the plurality of head photos; identifying relevant parameters of each head region based on the head photos corresponding to each head region; and analyzing a scalp condition of each head region based on the relevant parameters of each head region and historical parameters of each head region. The present invention can effectively monitor the scalp. The present invention also provides a smart hair dryer and a storage medium.

Description

Method of monitoring scalp, smart hair dryer and storage medium

The invention relates to the technical field of image processing, in particular to a method for monitoring the scalp, a smart hair dryer and a storage medium.

We often use mirrors to organize our faces, but we rarely use mirrors to observe the condition of our scalp. When there is a problem with the scalp, such as scalp redness or thinning of hair volume, it is often a step too late to start salvation.

In view of the above, it is necessary to propose a method for monitoring the scalp, a smart hair dryer and a storage medium, which can effectively monitor the scalp.

The first aspect of the present invention provides a method for monitoring the scalp, which is applied to a smart hair dryer including a photographing device, and the method includes: when the smart hair dryer is running, using the photographing device to photograph a user's head to obtain multiple images Head photos; identify the head regions corresponding to each of the multiple head photos; identify the relevant parameters of each head region based on the head photos corresponding to each head region; and based on each The related parameters of the head region and the historical related parameters corresponding to each head region are used to analyze the scalp condition of each head region.

Preferably, the method further includes: when it is found that the scalp of any head area is abnormal, sending out a corresponding prompt on the display screen of the smart hair dryer.

Preferably, the relevant parameters of each head region include: hair color parameters, and the hair color parameters The number includes hair color and white hair ratio; wherein, the step of identifying the hair color parameters of each head region includes: predefining the value range of the RGB value corresponding to each color; according to any head region The RGB value of the pixel point of any corresponding head photo determines the color of each pixel point of any head photo, and the image corresponding to each color in the any head photo is determined. The total number of primitive points and the total number of all primitive points included in any one head photo determine the proportion value of each color included in any one head photo; the color corresponding to the maximum proportion value is taken as The hair color corresponding to the any head photo; and the proportion of the white hair of the any head photo is used as the white hair ratio corresponding to the any head photo, thereby obtaining the corresponding one The hair color and white hair ratio corresponding to each head photo in all head photos in the head area; determine according to the hair color corresponding to each head photo in all head photos corresponding to any one head area The hair color of any head region; and the white hair ratio of any head region is determined according to the white hair ratio corresponding to each of all head photos corresponding to any head region.

Preferably, the determining the hair color of any one head region includes: counting the hair color corresponding to any one head region based on the hair color corresponding to each of all head photos corresponding to any one head region The frequency of each hair color of the, and the hair color corresponding to the maximum frequency is used as the hair color of any one of the head regions.

Preferably, the relevant parameters of each head area include: scalp parameters, the scalp parameters include whether there is dandruff, whether the hair is oily, and the degree of scalp redness; wherein, it is identified whether each head area has The steps of dandruff and whether the hair is oily include: predefining the value range of the RBG value corresponding to the white primitive point; determining the RGB value of the primitive point corresponding to any head area in any head photo The white primitive points in any head photo; the connected areas are determined based on the white primitive points in any head photo; the statistics are calculated for each connected area in the any head photo The total number of white primitive points; the connected area where the total number of white primitive points is less than the preset value is used as the dandruff area in any one of the head photos; the total number of white primitive points is greater than or equal to the predetermined The connected area with a set value is used as the area where the hair is oily in any one of the head photos; And when there is at least one head photo including the dandruff area in all the photos corresponding to the any one head area, it is determined that the any one head area has dandruff; and when all the photos in the any one head area When there is at least one head photo including oily hair areas in the photo, it is determined that any one head area has oily hair; wherein the step of identifying the scalp redness and swelling of each head area includes: Predefine the value range of the RBG value corresponding to the red image element point; determine the red image element in any head photo according to the RGB value of the image element point of any head photo corresponding to any head area Point; calculate the proportion of red pixel points in any one head photo based on the total number of red pixel points in any one head photo and the total number of all red pixel points included in any one head photo ; Determine the redness of any head area according to the proportion of red pixel points corresponding to each head photo in all head photos corresponding to any head area.

Preferably, the relevant parameters of each head region include: hair quality parameters, wherein the step of identifying the hair quality parameters of each head region includes: converting all head photos corresponding to any one head region Is a grayscale image; each grayscale image is binarized into a black and white image, thereby obtaining all black and white images corresponding to any head region; for any black and white image corresponding to any one head region Count the total number of black primitive points; calculate the black primitive points of any black-and-white picture based on the total number of black primitive points of any black-and-white picture and the total number of all primitive points of any black-and-white picture Ratio, thereby obtaining the proportion of black primitive points of each black-and-white picture corresponding to the any one head region; and determining the any one according to the proportion of black primitive points of each black-and-white picture corresponding to the any one head region Hair quality parameters of the head area.

A second aspect of the present invention provides a smart hair dryer. The smart hair dryer includes a storage and a processor. The storage is configured to store at least one computer-readable instruction, and the processor is configured to execute the at least one computer-readable instruction to implement The described method of monitoring the scalp.

Preferably, the photographing device of the smart hair dryer is arranged at the position where the air nozzle on the casing of the smart hair dryer is located.

Preferably, the photographing device is arranged on a three-axis stabilizer, and the three-axis stabilizer is housed in or exposed on the housing of the smart hair dryer.

The third party of the present invention provides a non-volatile readable storage medium, the non-volatile readable storage medium stores at least one computer readable instruction, and when the at least one computer readable instruction is executed by a processor, the The method of monitoring the scalp described above.

The method for monitoring the scalp, the smart hair dryer and the storage medium described in the embodiments of the present invention can realize the monitoring of the scalp condition while the smart hair dryer blows hair.

3: Smart hair dryer

30: The system that monitors the scalp

31: Storage

32: processor

33: Communication bus

34: shooting equipment

35: display

36: Three-axis stabilizer

37: Motor

38: Fan

300: shell

301: Get the module

302: Execution module

In order to more clearly describe the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are merely It is an embodiment of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on the provided drawings without creative work.

Fig. 1 is a diagram of the operating environment of a system for monitoring the scalp provided by a preferred embodiment of the present invention.

Figure 2 illustrates the installation location of the camera on the smart hair dryer.

Fig. 3 is a flowchart of a method for monitoring the scalp provided by a preferred embodiment of the present invention.

The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings.

In order to be able to understand the above objectives, features and advantages of the present invention more clearly, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other if there is no conflict.

In the following description, many specific details are explained in order to fully understand the present invention. The described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments, and are not intended to limit the present invention.

Referring to FIG. 1, it is a diagram of the operating environment of the system for monitoring the scalp provided by the preferred embodiment of the present invention.

In this embodiment, the system 30 for monitoring the scalp runs in the smart hair dryer 3. In this embodiment, the smart hair dryer 3 includes, but is not limited to, a storage 31, a processor 32, at least one communication bus 33, a photographing device 34, a display screen 35, a motor 37, and a fan 38.

Please refer to FIG. 2 at the same time. In one embodiment, the photographing device 34 may be disposed on the housing 300 of the smart hair dryer 3.

In one embodiment, the photographing device 34 is arranged at the position where the air nozzle 301 on the casing 300 of the smart hair dryer 3 is located.

In one embodiment, the photographing device 34 may be set on the three-axis stabilizer 36 to reduce the effect of blurring caused by shaking when the photographing device 34 moves with the smart hair dryer 3 to photograph the user's head.

In one embodiment, the three-axis stabilizer 36 is housed in the casing 300 of the smart hair dryer 3 or exposed on the casing 300 of the smart hair dryer 3.

The photographing device 34 includes an optical lens and a CMOS (Complementary Metal Oxide Semiconductor, complementary metal oxide semiconductor) photosensitive element.

The display screen 35 may be a touch display screen or a non-touch display screen.

Those skilled in the art should understand that the structure of the smart hair dryer shown in FIGS. 1 and 2 does not constitute a limitation of the embodiment of the present invention. The smart hair dryer 3 may also include more or less other hardware or Software, or different component arrangements.

In some embodiments, the smart hair dryer 3 includes a terminal that can automatically perform numerical calculation and/or information processing according to pre-set or stored computer-readable instructions, and its hardware includes but not Limited to microprocessors, dedicated integrated circuits, programmable gate arrays, digital word processors and embedded devices, etc.

It should be noted that the smart hair dryer 3 is only an example. If other existing or future smart hair dryers can be adapted to the present invention, they should also be included in the protection scope of the present invention and included here by reference.

In some embodiments, the storage 31 is used to store program codes and various data, such as the scalp monitoring system 30 installed in the smart hair dryer 3, and realizes high-speed and automatic operation during the operation of the smart hair dryer 3. Complete program or data access. The storage 31 includes a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable Read-Only Memory, PROM), and an erasable programmable read-only memory (Erasable Programmable Read-Only Memory). -Only Memory, EPROM), One-time Programmable Read-Only Memory (OTPROM), Electronically-Erasable Programmable Read-Only Memory (EEPROM) , Compact Disc Read-Only Memory (CD-ROM) or other optical disc storage, magnetic disk storage, tape storage, or any other non-volatile readable storage that can be used to carry or store data medium.

In some embodiments, the at least one processor 32 may be composed of integrated circuits, for example, may be composed of a single package of integrated circuits, or may be composed of multiple packages of the same function or different functions. , Including one or more central processing units (CPU), microprocessors, digital word processing chips, graphics processors, and various control chips. The at least one processor 32 is the control core (Control Unit) of the smart hair dryer 3, which uses various interfaces and lines to connect the various components of the entire smart hair dryer 3, by running or executing programs stored in the storage 31 or Modules and call the data stored in the storage 31 to perform various functions and process data of the smart hair dryer 3, for example, perform the function of monitoring the scalp (see the description of FIG. 3 below for details).

In some embodiments, the at least one communication bus 33 is configured to realize connection and communication among the storage 31, the at least one processor 32, the photographing device 34, the display screen 35, and the like.

Although not shown, the smart hair dryer 3 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 32 through a power management device, so as to be realized through the power management device. Manage functions such as charging, discharging, and power management. The power supply may also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power supply status indicators and other arbitrary components. The smart hair dryer 3 may also include an electric heating element, various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be repeated here.

It should be understood that the embodiments are only for illustrative purposes, and are not limited by this structure in the scope of the patent application.

In some embodiments, the scalp monitoring system 30 may include multiple functional modules composed of code segments. The code of each program segment in the scalp monitoring system 30 can be stored in a memory (for example, the memory 31 of the smart hair dryer 1), and executed by at least one processor (for example, the processor 32) to realize monitoring The function of the scalp (see the description of Figure 3 below for details).

In this embodiment, the system 30 for monitoring the scalp can be divided into multiple functional modules according to the functions it performs. The functional modules may include: an acquisition module 301 and an execution module 302. The module referred to in the present invention refers to a series of computer-readable instruction segments that can be executed by at least one processor (such as the processor 32) and can complete fixed functions, which are stored in a storage (such as the storage of the smart hair dryer 1).器31)中. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

In this embodiment, the integrated unit implemented in the form of a software function module can be stored in a non-volatile readable storage medium. The above-mentioned software function module includes at least one computer-readable instruction, so that a smart hair dryer or a processor (processor) executes the at least one computer-readable instruction to implement part of the method of each embodiment of the present invention, for example, as shown in FIG. 3 Ways to monitor the scalp.

In a further embodiment, in conjunction with FIG. 1, the at least one processor 32 can execute the operating device of the smart hair dryer 3 and various installed applications (such as the scalp monitoring system 30), program codes, etc. , For example, the various modules mentioned above.

Program codes are stored in the storage 31, and the at least one processor 32 can call the program codes stored in the storage 31 to perform related functions. For example, each module of the scalp monitoring system 30 in FIG. 1 is a program code stored in the memory 31 and executed by the at least one processor 32, thereby realizing the functions of the respective modules In order to achieve the purpose of monitoring the scalp (see the description of Figure 3 below for details).

In an embodiment of the present invention, the storage 31 stores one or more computer-readable instructions, and the one or more computer-readable instructions are executed by the at least one processor 32 to achieve the purpose of monitoring the scalp . Specifically, the specific implementation method of the at least one processor 32 to the above-mentioned computer-readable instructions is detailed in the description of FIG. 3 below.

Refer to FIG. 3, which is a flowchart of a method for monitoring the scalp according to a preferred embodiment of the present invention.

In this embodiment, the method for monitoring the scalp can be applied to the smart hair dryer 3. For the smart hair dryer 3 that needs to monitor the scalp, the function for monitoring the scalp provided by the method of the present invention can be directly integrated on the smart hair dryer 3. , Or run on the Smart Hair Dryer 3 in the form of a Software Development Kit (SDK).

As shown in FIG. 3, the method for monitoring the scalp specifically includes the following steps. According to different needs, the order of the steps in the flowchart can be changed, and some steps can be omitted.

Step S1: When the smart hair dryer 3 is running, the acquisition module 301 uses the photographing device 34 to photograph the head of the user to obtain multiple head photographs.

It should be noted that the operation of the smart blower 3 may refer to the operation of the fan 38 driven by the motor 37. Of course, the smart hair dryer 3 can also control the photographing device 34 to take head shots when there is no driving motor 37.

Step S2: The execution module 302 recognizes the head regions corresponding to the multiple head photos respectively.

In one embodiment, the execution module 302 can use an image analysis algorithm such as a template matching method and a machine learning algorithm to distinguish the head region corresponding to each photo.

In one embodiment, the head area is divided into the top of the head, the back of the head, the forehead, and both sides.

For example, the execution module 302 may collect a preset number of sample photos corresponding to each head region; train a head region recognition model based on the preset number of sample photos corresponding to each head region; Therefore, the execution module 302 can use the head region recognition model to recognize the head region corresponding to each photo.

Step S3: The execution module 302 recognizes the relevant parameters of each head region based on the head photo corresponding to each head region.

In one embodiment, the related parameters of each head region include hair color parameters. Wherein, the hair color parameters include hair color and white hair ratio.

In one embodiment, the step of the execution module 302 identifying the hair color parameter of each head region includes (a1)-(a4):

(a1) Predefine the range of RGB values corresponding to each color.

(a2) Determine the color of each pixel point of any head photo according to the RGB value of each pixel point of any head photo corresponding to any head area, and according to the any head photo The total number of pixel points corresponding to each color in a photo, and the total number of all pixel points included in any one head photo determine the proportion of each color included in any one head photo value.

For example, suppose that in photo A corresponding to the top of the head, the total number of pixel points corresponding to black is T1, and the total number of pixel points included in photo A is T, then the proportion of black included in photo A is Is T1/T.

(a3) Among the ratio values of all the colors included in the any one head photo, the color corresponding to the largest ratio value is used as the hair color corresponding to the any one head photo; and the any one The proportion of white hair in a head photo is taken as the proportion of white hair corresponding to any one head photo, thereby obtaining the corresponding head photo in all head photos corresponding to any head area Hair color and gray hair ratio.

For example, assuming that the photo A corresponding to the top of the head includes the proportion of black in 90%, the proportion of white is 5%, and the proportion of gray is 5%, then the maximum proportion is 90%. The color corresponding to% (ie, black) is used as the hair color corresponding to the photo A, and the proportion of white hair in the photo A is 5% as the proportion of white hair corresponding to the photo A. (a4) Determine the hair color of any head region according to the hair color corresponding to each head photo in all head photos corresponding to any head region; and determine the hair color of any head region according to all heads corresponding to any head region The proportion of white hair corresponding to each head photo in the photo determines the proportion of white hair in any one head region.

In one embodiment, the determining the hair color of any head region includes: counting the hair color corresponding to each head photo in all head photos corresponding to any head region. The frequency of each hair color corresponding to the region; and the hair color corresponding to the maximum frequency is used as the hair color of any one head region.

For example, suppose the photo A, photo B, and photo C corresponding to the top of the head; among them, in step (a3), it is determined that the hair color corresponding to photo A is black, the hair color corresponding to photo B is black, and the hair color corresponding to photo C is The corresponding hair color is white, that is, the frequency of black is twice, and the frequency of white is 1, then the color corresponding to the top of the head is black.

In one embodiment, the determining the proportion of white hair in any one head region includes: sorting the proportion of white hair corresponding to each of all the head photos corresponding to any one head region; The proportion of white hair in the middle size is used as the proportion of white hair in any one head region.

For example, suppose that the top position of the head corresponds to three head photos A, photo B, and photo C; the three head photos correspond to 5%, 15%, and 25% of white hair, respectively. The hair ratio (ie 15%) is taken as the ratio of white hair at the top of the head.

What needs to be said is that when the proportion of white hair in the middle size cannot be determined from the proportions of white hair corresponding to each of the multiple head photos, then the average of the proportion of white hair in the middle is taken as the proportion of white hair in the top of the head. .

For example, suppose that the top position of the head corresponds to four head photos, and the proportions of gray hair corresponding to the four head photos are 5%, 15%, 25%, and 45%. The average value (ie, 20%) of (ie 15% and 25%) is used as the proportion of gray hair at the top of the head.

In one embodiment, the related parameters of each head region further include scalp parameters. Wherein, the scalp parameters include whether there is dandruff, whether the hair is oily, and the degree of scalp redness and swelling.

In one embodiment, the step of the execution module 302 identifying whether there is dandruff and whether the hair is oily in each head area includes (b1)-(b6):

(b1) Predefine the value range of the RBG value corresponding to the white image element point.

(b2) Determine the white image element point in any head photo according to the RGB value of each image element point of any head photo corresponding to any head area.

(b3) Determine the connected area based on the white primitive points in any one of the head photos.

In this embodiment, the connected area refers to an area formed by continuous white primitive points.

(b4) Count the total number of white primitive points corresponding to each connected area in any one of the head photos.

(b5) The connected area where the total number of white primitive points is less than the preset value (for example, 2) is used as the dandruff area in any one of the head photos; the total number of white primitive points is greater than or equal to the preset value (for example, 2); The connected area of the set value is used as the oily area of the hair in any one of the head photos.

(b6) When there is at least one head photo including a dandruff area in all photos corresponding to any one head region, it is determined that any one head region has dandruff; and when the any one head region has dandruff; and When there is at least one head photo in all the photos including oily hair area, it is determined that hair oily occurs in any one head area.

In one embodiment, the step of the execution module 302 identifying the degree of redness and swelling of the scalp of each head region includes (c1)-(c4):

(c1) Predefine the value range of the RBG value corresponding to the red image element point.

(c2) Determine the red image element point in any head photo according to the RGB value of each image element point of any head photo corresponding to any head area.

(c3) Calculate the red pixel points of any head photo based on the total number of red pixel points in any one head photo and the total number of all red pixel points included in any one head photo Proportion.

For example, suppose that in the photo A corresponding to the top of the head, the total number of red pixel points is T2, and the total number of pixel points included in the photo A is T, then the proportion value of the red pixel points included in the photo A For T2/T.

(c4) Determine the redness of any head region according to the proportion of red pixel points corresponding to each head photo in all head photos corresponding to any head region.

In this embodiment, the execution module 302 sorts the proportions of the red pixel points corresponding to each of all the head photos corresponding to any one of the head regions; and the red image with the center size The ratio of meta points is used as the degree of redness and swelling of any one head region.

For example, suppose that the top position of the head corresponds to three head photos, and the proportions of red pixel points corresponding to the three head photos are 5%, 15%, and 25% respectively, then the proportion of the red pixel points in the middle size ( That is, 15%) as the degree of redness and swelling at the top of the head.

What needs to be said is that when the top of the head corresponds to multiple head photos, and the ratio of the red pixel points corresponding to the multiple head photos cannot be determined from the ratio of the red pixel points corresponding to the multiple head photos, the two centered red pixel points are selected. The average of the proportions of red pixel points is used as the degree of redness and swelling at the top of the head.

For example, suppose that the top position of the head corresponds to four head photos, and the proportions of red pixel points corresponding to the four head photos are 5%, 15%, 25%, and 45%. The average value (ie 20%) of the ratio of pixel points (ie 15% and 25%) is used as the degree of redness and swelling at the top of the head.

In an implementation, the related parameters of each head region further include hair quality parameters. Wherein, the steps of the execution module 302 identifying the hair quality parameters of each head region include (d1)-(d5):

(d1) Convert all head photos corresponding to any head region into grayscale images.

(d2) Binarize each grayscale image into a black and white image, thereby obtaining all black and white images corresponding to any head region.

(d3) Count the total number of black primitive points for any black and white picture corresponding to any one of the head regions.

(d4) Calculate the proportion of black primitive points of any black-and-white picture based on the total number of black primitive points of any black-and-white picture and the total number of all primitive points of any black-and-white picture, thereby obtaining The proportion of black pixel points of each black-and-white picture corresponding to any one of the head regions.

(d5) Determine the hair quality parameter of any one head region according to the proportion of black pixel points of each black and white picture corresponding to the any one head region.

In one embodiment, the execution module 302 sorts the proportions of black primitives of each black-and-white picture in all black-and-white pictures of any head region; and takes the proportion of black primitives with the middle size as The hair quality parameter of any one of the head regions.

For example, suppose that the top position of the head corresponds to three head photos, and the proportions of black pixel points corresponding to the three head photos are 65%, 75%, and 95%, then the proportion of black pixel points in the middle size ( That is, 75%) as the hair quality parameter at the top of the head.

What needs to be said is that when the top position of the head corresponds to multiple head photos, and the ratio of black pixel points in the middle size cannot be determined from the ratios of black pixel points corresponding to the multiple head photos, then the two centered ones are taken. The average value of the proportion of black pixel points is used as the hair quality parameter of the top position of the head.

For example, suppose that the top position of the head corresponds to four head photos, and the proportions of the red pixel points corresponding to the four head photos are 65%, 75%, 95%, and 99% respectively, then the two black ones in the middle of the size The average value (that is, 85%) of the ratio of pixel points (that is, 75%, 95%) is used as the hair quality parameter at the top of the head.

In one embodiment, the execution module 302 also stores the relevant parameters of each head area and the current system time of the smart hair dryer 3 in the storage 31.

In one embodiment, the execution module 302 also sends the relevant parameters of each head area together with the current system time of the smart hair dryer 3 to an external device such as a computer device.

Step S4: The execution module 302 analyzes the scalp condition of each head region based on the related parameters of each head region and the historical related parameters corresponding to each head region.

In one embodiment, the historical related parameters corresponding to each head region may be stored in the storage 31.

Specifically, the analyzing the scalp condition of each head region based on the related parameters of each head region and the historical related parameters corresponding to each head region is to compare each related parameter, According to the comparison result, it is determined whether the scalp of each head region is abnormal.

In one embodiment, when the analysis shows that the scalp of any head area is abnormal, the execution module 302 sends out a corresponding prompt on the display screen 35 of the smart hair dryer (for example, it may be displayed on the display screen 35). The text message reminds the user that there is an abnormality in the scalp of a certain head area).

For example, suppose that the hair quality parameter at the top of the head corresponding to the time January 1, 2020 is 99%. If the currently calculated hair quality parameter is 75%, the difference between the two is greater than 20%, Corresponding prompts can be issued, for example, it is displayed on the display screen 35 that the hair quality parameters decrease relatively quickly, and maintenance of the scalp is required.

It should be noted that in the several embodiments provided by the present invention, it should be understood that the disclosed non-volatile readable storage medium, device, and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple networks Unit. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional modules in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be realized either in the form of hardware, or in the form of hardware plus software functional modules.

For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, regardless of the point of view, the embodiments should be regarded as exemplary, and It is non-limiting, and the scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended that all changes falling within the meaning and scope of equivalent elements of the claims are included in the present invention. Any reference signs in the request shall not be regarded as the request item involved in the restriction. In addition, it is obvious that the word "including" does not exclude other elements or the singular number does not exclude the plural number. Multiple units or devices stated in the device request item can also be implemented by one unit or device through software or hardware. Words such as first and second are used to denote names, but do not denote any specific order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent replacements are made without departing from the spirit and scope of the technical solution of the present invention.

Claims (8)

A method for monitoring the scalp is applied to a smart hair dryer including a photographing device, wherein the method includes: using the photographing device to photograph a user's head to obtain multiple head photos; and identifying the multiple head photos Respectively corresponding head regions; identifying the relevant parameters of each head region based on the head photos corresponding to each head region, wherein the relevant parameters of each head region include: hair color parameters, The hair color parameters include hair color and white hair ratio; wherein, the step of identifying the hair color parameters of each head region includes: predefining the value range of the RGB value corresponding to each color; The RGB value of the pixel point of any head photo corresponding to a head area determines the color of each pixel point of any head photo, and according to the color and each color in any head photo The total number of corresponding image element points and the total number of all image element points included in any one head photo determine the proportion value of each color included in any one head photo; Among the proportion values of all the colors included in the head photo, the color corresponding to the largest proportion value is used as the hair color corresponding to any one head photo; and the white color of any one head photo occupies As the proportion of white hair corresponding to any one head photo, the hair color and proportion of white hair corresponding to each head photo in all head photos corresponding to any one head area are thus obtained; according to Determine the hair color of any head region according to the hair color of each head photo in all head photos corresponding to any head region; and determine the hair color of any head region according to each head photo The proportion of white hair corresponding to one head photo determines the proportion of white hair in any one head region; and analyzing each head region based on the related parameters of each head region and the historical related parameters corresponding to each head region. The condition of the scalp in each head area. The method for monitoring the scalp according to claim 1, wherein the determining the hair color of any one head region includes: based on the hair corresponding to each head photo among all the head photos corresponding to any one head region The color counts the frequency of each hair color corresponding to any one of the head regions; and will correspond to the most frequent The hair color with high frequency is used as the hair color of any one head region, where the hair color with the highest frequency refers to the hair color corresponding to all head photos corresponding to any one head region, The hair color that appears most frequently; the determining the proportion of white hair in any one head region includes: sorting the proportion of white hair corresponding to each of all head photos corresponding to any one head region. ; The proportion of white hair in the middle size is taken as the proportion of white hair in any one head region, and the proportion of white hair in the middle size refers to the white hair corresponding to all head photos corresponding to any one head region Among the hair proportions, the proportion of gray hair that is arranged in the middle. The method for monitoring the scalp according to claim 1, wherein the relevant parameters of each head region further include: scalp parameters, and the scalp parameters include whether there is dandruff, whether the hair is oily, and the degree of scalp redness; Wherein, the step of identifying whether each head area has dandruff and whether the hair is oily includes: predefining the value range of the RBG value corresponding to the white pixel point; according to any one piece corresponding to any one head area The RGB values of the primitive points of the head photo determine the white primitive points in any one head photo; determine the connected areas based on the white primitive points in the any one head photo; count the any one The total number of white primitive points corresponding to each connected region in the head photo; connect regions with the total number of white primitive points less than the preset value as the dandruff area in any one of the head photos; The connected area whose total number of white primitive points is greater than or equal to the preset value is used as the oily hair area in any one head photo; and when there is at least one of all photos corresponding to any one head area When a photo of the head includes an area of dandruff, it is determined that any one of the head areas has dandruff; and when there is at least one photo of the head in all the photos of any one of the head areas including an area with oily hair, Determining the occurrence of oily hair in any one of the head regions; wherein the step of identifying the degree of redness and swelling of the scalp in each head region includes: predefining the value range of the RBG value corresponding to the red pixel point; Determine the red pixel point in any head photo according to the RGB value of the pixel point of any head photo corresponding to any head area; according to the red pixel point in any head photo Calculate the proportion of red pixel points of any one head photo and the total number of all red pixel points included in any one head photo; according to each head photo corresponding to any one head area The proportion of red pixel points corresponding to a head photo determines the redness of any head area, where the red image corresponding to each head photo in all head photos corresponding to the any head area The proportion of the element point is sorted by size; the proportion of the red element point in the middle size is taken as the degree of redness and swelling of any one of the head regions, wherein the proportion of the red element point in the middle size refers to the proportion of the red element point in the any head Among the proportions of red pixel points corresponding to all the head photos corresponding to the area, the proportion of the red pixel points arranged in the middle. The method for monitoring the scalp according to claim 1, wherein the relevant parameters of each head region further include: hair quality parameters, wherein the step of identifying the hair quality parameters of each head region includes: All head photos corresponding to any head region are converted into grayscale images; each grayscale image is binarized into black and white images, thereby obtaining all black and white images corresponding to any head region; Count the total number of black primitive points in any black-and-white picture corresponding to any head region; calculate based on the total number of black primitive points in any black-and-white picture and the total number of all primitive points in any black-and-white picture The proportion of black primitive points of any one of the black-and-white pictures, thereby obtaining the proportion of black primitive points of each black-and-white picture corresponding to the any one head region; The black pixel point ratio of the black and white picture determines the hair quality parameter of the any head region, wherein the black pixel point ratio of each black and white picture in all black and white pictures in the any head region is sorted by size; The proportion of black graphic element points in the middle size is used as the hair quality parameter of any one head region. A smart hair dryer, wherein the smart hair dryer includes a storage and a processor, the storage is used to store at least one computer-readable instruction, and the processor is used to execute the at least one A computer-readable instruction to implement the method for monitoring the scalp described in any one of request items 1-4. The smart hair dryer according to claim 5, wherein the photographing device of the smart hair dryer is set at the position of the air nozzle on the casing of the smart hair dryer. The smart hair dryer according to claim 6, wherein the photographing device is provided on a three-axis stabilizer, and the three-axis stabilizer is housed in or exposed on the casing of the smart hair dryer. A non-volatile readable storage medium, wherein the non-volatile readable storage medium stores at least one computer readable instruction, and when the at least one computer readable instruction is executed by a processor, the request items 1-4 are realized The method of monitoring the scalp described in any one of.

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