CN107993599A - A kind of clothes recommend method and advertisement machine - Google Patents
A kind of clothes recommend method and advertisement machine Download PDFInfo
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- CN107993599A CN107993599A CN201711477941.4A CN201711477941A CN107993599A CN 107993599 A CN107993599 A CN 107993599A CN 201711477941 A CN201711477941 A CN 201711477941A CN 107993599 A CN107993599 A CN 107993599A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
- G09F19/00—Advertising or display means not otherwise provided for
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G06Q30/0251—Targeted advertisements
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Abstract
The invention discloses a kind of clothes to recommend method and advertisement machine, is related to advertisement machine field.The advertisement machine includes：Advertisement machine shell and pressure sensor, the one side of advertisement machine shell is provided with display screen and camera group, display screen is used to show clothes recommendation results, camera group is used for the realtime graphic for obtaining user, pressure sensor is arranged on the ground at advertisement machine shell pre-determined distance, pressure sensor is used for the weight data for gathering user, advertisement machine shell is internally provided with processor, processor is used to obtain the height data of user according to realtime graphic, age data and gender data, and according to height data, weight data, age data and gender data obtain the clothes recommendation results recommended for user.A kind of clothes provided by the invention recommend method and advertisement machine, can be that user customizes ground recommendation clothes, improve the using experience degree of user.
Description
Technical field
The present invention relates to advertisement machine field, more particularly to a kind of clothes to recommend method and advertisement machine.
Background technology
At present, existing advertisement machine only possesses advertisement putting function, it is impossible to is adapted to according to the demand of user for lead referral
The clothes of client, have the shortcomings that interactivity is poor, user experience is poor.
The content of the invention
The technical problems to be solved by the invention are in view of the deficiencies of the prior art, there is provided a kind of clothes recommend method and wide
Announcement machine.
The technical solution that the present invention solves above-mentioned technical problem is as follows：
A kind of clothes recommended advertisements machine, the advertisement machine include：Advertisement machine shell and pressure sensor, in the advertisement machine
The one side of shell is provided with display screen and camera group, and the display screen is used to show clothes recommendation results, the camera group
For obtaining the realtime graphic of user, the pressure sensor is arranged on the ground at the advertisement machine shell pre-determined distance
On, the pressure sensor is used for the weight data for gathering the user, and the advertisement machine shell is internally provided with processor,
The processor is used to obtain height data, age data and the gender data of the user, and root according to the realtime graphic
Obtain being recommended for the user according to the height data, the weight data, the age data and the gender data
The clothes recommendation results.
The beneficial effects of the invention are as follows：A kind of clothes recommended advertisements machine provided by the invention, by being arranged on outside advertisement machine
Camera group on shell obtains the realtime graphic of user, and obtains user's by being arranged on the pressure sensor in front of advertisement machine
Weight data, and height data, weight data, age data and the gender data of user are obtained accordingly, can be that user customizes
Change ground and recommend clothes, improve the using experience degree of user.
Based on the above technical solutions, the present invention can also be improved as follows.
Further, the inside of the advertisement machine shell is additionally provided with memory, and the memory memory contains a variety of clothes
Die-filling type, every kind of dress form have a variety of attribute informations, and the attribute information includes：Height information, weight information, year
Age information and gender information；
The processor is specifically used for the height data of the user, the weight data, the age data
With the gender data as querying condition, inquire about and obtain and the matched clothes of the attribute information from the memory
Model is as the clothes recommendation results.
It is using the above-mentioned further beneficial effect of scheme：By setting memory in advertisement machine, prestore a variety of
Dress form, can be quickly obtained the clothes recommendation results recommended to user according to obtained querying condition, it is possible to increase clothes
Dress recommends efficiency.
Further, the inside of the advertisement machine shell is additionally provided with communicator, and the communicator is used for by described in
Height data, the weight data, the age data and the gender data are sent to server；
And the server is received according to the height data, the weight data, the age data and the gender
The clothes recommendation results that data obtain.
It is using the above-mentioned further beneficial effect of scheme：By the way that querying condition is sent to server, pass through server
Powerful computing capability be calculated as user carry out clothes recommendation as a result, it is possible to increase the species of recommendation, be more in line with user
Actual demand.
Further, the display screen is touch-screen.
It is using the above-mentioned further beneficial effect of scheme：By the way that into touch-screen, design of LED can be easy to user
Operation, improves interactive convenience.
Further, the camera group includes：Depth camera and multiple wide-angle cameras, multiple wide-angle imagings
By predetermined interval vertical arrangement in the front of the advertisement machine shell, multiple wide-angle cameras are used to obtain the user head
The plane realtime graphic of different body parts, the depth camera are used for the depth realtime graphic for obtaining the user；
The processor is specifically used for the age number that the user is determined according to the plane realtime graphic of the user's face
According to and gender data, and according to the depth realtime graphic and all the plane realtime graphics determine the height number of the user
According to, and according to the age data, gender data, height data and weight data obtain being recommended for the user
Clothes recommendation results.
It is using the above-mentioned further beneficial effect of scheme：User's difference body is gathered respectively by multiple wide-angle cameras
The plane realtime graphic at position, and depth realtime graphic and the weight data of user are combined, the accurate body of user can be obtained
Shape information and facial information, can be easy to improve the clothes recommendation results customized for user, the clothes of recommendation is more met use
The stature at family.
Further, the processor is additionally operable to obtain the colour of skin of the user according to the realtime graphic of the user's face
Data, and the clothes of different colours in the clothes recommendation results are screened according to the colour of skin data, preferably taken
Fill recommendation results.
It is using the above-mentioned further beneficial effect of scheme：By analyzing the colour of skin of user, it can obtain and use
Family colour of skin matching or the clothes of suitable respective color, improve the Experience Degree of user.
Further, the processor is additionally operable to be built according to the depth realtime graphic and whole plane realtime graphics
The threedimensional model of the user is found, and the dress form in the obtained clothes recommendation results is worn on the three of the user
On dimension module；
The display screen, which is additionally operable to display wearing, the threedimensional model of the dress form.
It is using the above-mentioned further beneficial effect of scheme：By the way that clothes recommendation results are worn on threedimensional model, energy
User is enough set to be intuitive to see wearing as a result, making user more easily select satisfied clothes.
The another technical solution that the present invention solves above-mentioned technical problem is as follows：
A kind of clothes recommend method, including：
The realtime graphic of user is obtained, gathers the weight data of the user；
Height data, age data and the gender data of the user is obtained according to the realtime graphic；
Obtained according to the height data, the weight data, the age data and the gender data as the use
The clothes recommendation results that family is recommended.
The beneficial effects of the invention are as follows：A kind of clothes provided by the invention recommend method, by being arranged on advertisement machine shell
On camera group obtain the realtime graphic of user, and the body of user is obtained by being arranged on pressure sensor in front of advertisement machine
Tuple evidence, and height data, weight data, age data and the gender data of user are obtained accordingly, can be that user customizes
Clothes are recommended on ground, improve the using experience degree of user.
Further, it is described according to the height data, the weight data, the age data and the gender data
The clothes recommendation results recommended for the user are obtained, are specifically included：
Using the height data of the user, the weight data, the age data and the gender data as
Querying condition, inquires about from the memory built in advertisement machine and obtains the dress form with preset attribute information matches as institute
Clothes recommendation results are stated, the attribute information includes：Height information, weight information, age information and gender information.
Further, it is described according to the height data, the weight data, the age data and the gender data
The clothes recommendation results recommended for the user are obtained, are specifically included：
The height data, the weight data, the age data and the gender data are sent to server；
Receive that the server returns to the height data, the weight data, the age data and the property
The clothes recommendation results that other data obtain after being analyzed.
The advantages of aspect that the present invention adds, will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by present invention practice.
Brief description of the drawings
Fig. 1 is the structure diagram that a kind of one embodiment of clothes recommended advertisements machine of the present invention provides；
Fig. 2 is the structural framing figure that a kind of another embodiment of clothes recommended advertisements machine of the present invention provides；
Fig. 3 is the flow diagram that a kind of clothes of the present invention recommend one embodiment of method to provide.
Embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in Figure 1, the structure diagram provided for a kind of one embodiment of clothes recommended advertisements machine of the present invention, this is wide
Announcement machine includes：Advertisement machine shell 1 and pressure sensor 2, display screen 3 and camera group are provided with the one side of advertisement machine shell 1
4, display screen 3 is used to show clothes recommendation results, and camera group 4 is used for the realtime graphic for obtaining user.
It should be noted that for the ease of shooting the realtime graphic of user, it is identical that camera group 4 is provided in display screen 3
Simultaneously.
Pressure sensor 2 is arranged on the ground at 1 pre-determined distance of advertisement machine shell, and pressure sensor 2 is used to adopt
Collect the weight data of user, for example, the position at 0.5 meter in front of advertisement machine shell 1 can be arranged on, easy to make as user
During with advertisement machine, the weight data of user is gathered.
Advertisement machine shell 1 is internally provided with processor 5, and processor 5 is used to obtain the height of user according to realtime graphic
Data, age data and gender data, and obtained according to height data, weight data, age data and gender data as user
The clothes recommendation results recommended.
For example, processor 5 can be by calling the face recognition algorithm that prestore, to the facial real-time of the user that collects
Image is identified, and obtains the age data and gender data of user, and by default apart from computational algorithm, captured by calculating
The height data of the user arrived.
Preferably, the distance between foot and advertisement machine of user can be judged by realtime graphic, then to figure in real time
The height of user measures as in, according to the distance between default proportionality coefficient, the foot of user and advertisement machine and measurement
Obtained user images height obtains the height of user.For example, when subscriber station is closer from advertisement machine, then in image
User images height will be bigger, when subscriber station is distant from advertisement machine, then the user images height in image is just
Can be smaller, by judging the length between the foot of user and advertisement machine, the distance between user and advertisement machine can be obtained
Information, then the error caused by the position that user is stood can be compensated, obtain accurate user's height.
For example, the height of user can be calculated by the following formula：
H=[(a*l2)/b]*a*l1；
Wherein, h is the actual height of user, and a is default proportionality coefficient, l1For the height number of user in realtime graphic
According to l2For the distance between the foot of user in realtime graphic and advertisement machine data, b is default distance parameter.
In another example processor 5 can using height data, weight data, age data and gender data as querying condition,
Qualified clothes are inquired about from database as clothes recommendation results.
For another example height data, weight data, age data and gender data can also be sent to service by processor 5
In device, by the powerful calculating ability of server, the clothes that sales volume in internet reaches threshold value or newest sale are obtained in real time,
Therefrom match with each item data of user to the clothes met as clothes recommendation results.
A kind of clothes recommended advertisements machine provided in this embodiment, is obtained by the camera group 4 being arranged on advertisement machine shell 1
The realtime graphic at family is taken, and the weight data of user is obtained by being arranged on the pressure sensor 2 in front of advertisement machine, and accordingly
Height data, weight data, age data and the gender data of user is obtained, can be that user customizes ground recommendation clothes, carry
The using experience degree of high user.
As shown in Fig. 2, the structural framing figure provided for a kind of another embodiment of clothes recommended advertisements machine of the present invention, this is wide
Announcement machine includes：Advertisement machine shell 1 and pressure sensor 2, display screen 3 and camera group are provided with the one side of advertisement machine shell 1
4, display screen 3 is used to show clothes recommendation results, and camera group 4 is used for the realtime graphic for obtaining user.
It should be noted that for the ease of shooting the realtime graphic of user, it is identical that camera group 4 is provided in display screen 3
Simultaneously.
Pressure sensor 2 is arranged on the ground at 1 pre-determined distance of advertisement machine shell, and pressure sensor 2 is used to adopt
Collect the weight data of user, for example, the position at 0.5 meter in front of advertisement machine shell 1 can be arranged on, easy to make as user
During with advertisement machine, the weight data of user is gathered.
Advertisement machine shell 1 is internally provided with processor 5, and processor 5 is used to obtain the height of user according to realtime graphic
Data, age data and gender data, and obtained according to height data, weight data, age data and gender data as user
The clothes recommendation results recommended.
For example, processor 5 can be by calling the face recognition algorithm that prestore, to the facial real-time of the user that collects
Image is identified, and obtains the age data and gender data of user, and by default apart from computational algorithm, captured by calculating
The height data of the user arrived.
Preferably, the distance between foot and advertisement machine of user can be judged by realtime graphic, then to figure in real time
The height of user measures as in, according to the distance between default proportionality coefficient, the foot of user and advertisement machine and measurement
Obtained user images height obtains the height of user.For example, when subscriber station is closer from advertisement machine, then in image
User images height will be bigger, when subscriber station is distant from advertisement machine, then the user images height in image is just
Can be smaller, by judging the length between the foot of user and advertisement machine, the distance between user and advertisement machine can be obtained
Information, then the error caused by the position that user is stood can be compensated, obtain accurate user's height.
For example, the height of user can be calculated by the following formula：
H=[(a*l2)/b]*a*l1；
Wherein, h is the actual height of user, and a is default proportionality coefficient, l1For the height number of user in realtime graphic
According to l2For the distance between the foot of user in realtime graphic and advertisement machine data, b is default distance parameter.
In another example processor 5 can using height data, weight data, age data and gender data as querying condition,
Qualified clothes are inquired about from database as clothes recommendation results.
Preferably, the inside of advertisement machine shell 1 is additionally provided with memory 6, and 6 memory of memory contains a variety of dress forms,
Every kind of dress form has a variety of attribute informations, and attribute information includes：Height information, weight information, age information and gender letter
Breath；
Processor 5 is specifically used for using the height data of user, weight data, age data and gender data as inquiry bar
Part, inquires about from memory 6 and obtains with the matched dress form of attribute information as clothes recommendation results.
For example, SQL database can be set in memory 6, to realize the inquiry to dress form.
By setting memory 6 in advertisement machine, a variety of dress forms are prestored, can be according to obtained querying condition
It is quickly obtained the clothes recommendation results recommended to user, it is possible to increase clothes recommend efficiency.
For another example height data, weight data, age data and gender data can also be sent to service by processor 5
In device, by the powerful calculating ability of server, the clothes that sales volume in internet reaches threshold value or newest sale are obtained in real time,
Therefrom match with each item data of user to the clothes met as clothes recommendation results.
Preferably, the inside of advertisement machine shell 1 is additionally provided with communicator 7, and communicator 7 is used for height data, body
Tuple evidence, age data and gender data are sent to server；
And receive the clothes that server is obtained according to height data, weight data, age data and gender data and recommend knot
Fruit.
For example, server is after height data, weight data, age data and gender data is received, can be by these
Data are inquired about from internet or database as querying condition, obtain the result for meeting querying condition.
By the way that querying condition is sent to server, user is calculated as by the powerful computing capability of server and carries out clothes
Recommend as a result, it is possible to increase the species of recommendation, be more in line with the actual demand of user.
Preferably, display screen 3 is touch-screen.
, can be convenient for the user to operate by the way that display screen 3 is designed to touch-screen, improve interactive convenience.
Preferably, camera group 4 includes：Depth camera 41 and multiple wide-angle cameras 42, multiple wide-angle cameras 42
By predetermined interval vertical arrangement in the front of advertisement machine shell 1, multiple wide-angle cameras 42 are used to obtain user's difference body
The plane realtime graphic of position, depth camera 41 are used for the depth realtime graphic for obtaining user；
It should be noted that the quantity and predetermined interval of wide-angle camera 42 can be set according to the actual requirements.
For example, multiple wide-angle cameras 42 could be provided as 4, one is set every 0.4 meter, is once arranged from top to bottom
On the side of display screen 3, so when user is close to advertisement machine, the head of user can be obtained to the realtime graphic of chest, chest
Portion is to the realtime graphic of belly, the realtime graphic of belly to leg, and the realtime graphic of leg to foot.It is multiple by setting
Wide-angle camera 42, can obtain the body information of user exactly, easy to preferably recommend clothes for user.Depth camera
41 can be arranged on the top of display screen 3, easy to obtain accurate user's depth image.
For example, by adjusting the shooting angle of wide-angle camera 42 each plane that camera is shot can be made to scheme in real time
Complete image as a user can be synthesized.
Processor 5 is specifically used for the age data and gender number that user is determined according to the plane realtime graphic of user's face
According to, and determine according to depth realtime graphic and whole plane realtime graphics the height data of user, and according to age data, gender
Data, height data and weight data obtain the clothes recommendation results recommended for user.
It should be noted that after depth realtime graphic is obtained by depth camera 41, can be directly according to depth number
The actual height of user is calculated according to the image height with the user in image.
Gather the plane realtime graphic of user's difference body part respectively by multiple wide-angle cameras 42, and combine depth
Realtime graphic and the weight data of user, can obtain the accurate bodily form information and facial information of user, can be easy to use
The clothes recommendation results customized are improved at family, the clothes of recommendation is more met the stature of user.
Preferably, the accurate of each body part of user can also be obtained according to plane realtime graphic and depth realtime graphic
Stature characteristic information, can obtain more accurate query result using stature characteristic information as querying condition.
Its stature ratio of different users is also not quite similar, for example, longer, some user's lower parts of the body of some users upper part of the body
Longer, some users are apple shapes, and some users are pyriform statures, and there is presently no be directed to the accurate of user's stature to push away
Recommend method.
By obtaining the plane realtime graphic of user's difference body part, and depth realtime graphic is combined, standard can be obtained
True user's stature data, can be that user recommends to meet user exactly using these user's stature data as querying condition
The clothes of demand.
Preferably, processor 5 is additionally operable to obtain the colour of skin data of user according to the realtime graphic of user's face, and according to skin
Chromatic number is screened according to the clothes to different colours in clothes recommendation results, obtains preferred garment recommendation results.
For example, when the colour of skin of user is partially dim, can be with clothes of recommended user's plain color system etc..
By analyzing the colour of skin of user, can obtain matching with user colour or the clothes of suitable respective color
Dress, improves the Experience Degree of user.
Preferably, processor 5 is additionally operable to establish the three-dimensional of user according to depth realtime graphic and whole plane realtime graphics
Model, and the dress form in obtained clothes recommendation results is worn on the threedimensional model of user；
Display screen 3, which is additionally operable to display wearing, the threedimensional model of dress form.
For example, the textures of dress form can be attached on threedimensional model, show that wearing recommends the solid after clothes
Effect.
By the way that clothes recommendation results are worn on threedimensional model, user can be made to be intuitive to see wearing as a result, using
More easily select satisfied clothes in family.
A kind of clothes recommended advertisements machine provided in this embodiment, is obtained by the camera group 4 being arranged on advertisement machine shell 1
The realtime graphic at family is taken, and the weight data of user is obtained by being arranged on the pressure sensor 2 in front of advertisement machine, and accordingly
Height data, weight data, age data and the gender data of user is obtained, can be that user customizes ground recommendation clothes, carry
The using experience degree of high user.
And by inquiring about clothes recommendation results in the local database, it is possible to increase clothes advisory speed and efficiency, or
By means of server lookup clothes recommendation results, the clothes of more multiple coincidence user demand can be recommended, and by user's
The colour of skin is analyzed, and can be that the result recommended is more in line with user demand.
As shown in figure 3, recommend the flow diagram of one embodiment offer of method, this method for a kind of clothes of the present invention
Including：
S1, obtains the realtime graphic of user, gathers the weight data of user；
S2, height data, age data and the gender data of user is obtained according to realtime graphic；
S3, obtains pushing away for the clothes that user is recommended according to height data, weight data, age data and gender data
Recommend result.
Preferably, the clothes recommended for user are obtained according to height data, weight data, age data and gender data
Recommendation results are filled, are specifically included：
Using the height data of user, weight data, age data and gender data as querying condition, from built in advertisement machine
Memory in inquiry obtain as clothes recommendation results, attribute information including with the dress form of preset attribute information matches：
Height information, weight information, age information and gender information.
Preferably, the clothes recommended for user are obtained according to height data, weight data, age data and gender data
Recommendation results are filled, are specifically included：
Height data, weight data, age data and gender data are sent to server；
Receive server return height data, weight data, age data and gender data are analyzed after obtain
Clothes recommendation results.
A kind of clothes provided in this embodiment recommend method, are obtained and used by the camera group being arranged on advertisement machine shell
The realtime graphic at family, and the weight data of user is obtained by being arranged on the pressure sensor in front of advertisement machine, and obtain accordingly
Height data, weight data, age data and the gender data of user, can be that user customizes ground recommendation clothes, improve and use
The using experience degree at family.
Reader should be understood that in the description of this specification, reference term " one embodiment ", " some embodiments ", " show
The description of example ", " specific example " or " some examples " etc. mean to combine the specific features of the embodiment or example description, structure,
Material or feature are contained at least one embodiment of the present invention or example.In the present specification, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the different embodiments or example described in this specification and different embodiments or exemplary spy
Sign is combined and combines.
It is apparent to those skilled in the art that for convenience of description and succinctly, the side of foregoing description
The idiographic flow of method, may be referred to the correspondence course of work in aforementioned means and unit embodiment, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, can pass through it
Its mode is realized.For example, device embodiment described above is only schematical, for example, the division of unit, is only
A kind of division of logic function, can there is an other dividing mode when actually realizing, for example, multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
Component may or may not be physical location, you can with positioned at a place, or can also be distributed to multiple networks
On unit.Some or all of unit therein can be selected to realize the mesh of the embodiment of the present invention according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
It is that unit is individually physically present or two or more units integrate in a unit.It is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme substantially or
Say that the part to contribute to the prior art, or all or part of the technical solution can be embodied in the form of software product
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, server, or network equipment etc.) performs all or part of each embodiment method of the present invention
Step.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-OnlyMemory), deposit at random
Access to memory (RAM, RandomAccessMemory), magnetic disc or CD etc. are various can be with the medium of store program codes.
More than, it is only embodiment of the invention, but protection scope of the present invention is not limited thereto, and it is any to be familiar with
Those skilled in the art the invention discloses technical scope in, various equivalent modifications or substitutions can be readily occurred in,
These modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be wanted with right
Subject to the protection domain asked.
Claims (10)
1. a kind of clothes recommended advertisements machine, it is characterised in that the advertisement machine includes：Advertisement machine shell and pressure sensor,
The one side of the advertisement machine shell is provided with display screen and camera group, and the display screen is used to show clothes recommendation results, institute
State camera group and be used to obtaining the realtime graphic of user, the pressure sensor be arranged on apart from the advertisement machine shell preset away from
From on the ground at place, the pressure sensor is used for the weight data for gathering the user, and the inside of the advertisement machine shell is set
Processor is equipped with, the processor is used to obtain height data, age data and the property of the user according to the realtime graphic
Other data, and obtained according to the height data, the weight data, the age data and the gender data as the use
The clothes recommendation results that family is recommended.
2. clothes recommended advertisements machine according to claim 1, it is characterised in that the inside of the advertisement machine shell is also set up
There is memory, the memory memory contains a variety of dress forms, and every kind of dress form has a variety of attribute informations, described
Attribute information includes：Height information, weight information, age information and gender information；
The processor is specifically used for the height data of the user, the weight data, the age data and institute
Gender data is stated as querying condition, inquires about and obtains and the matched dress form of the attribute information from the memory
As the clothes recommendation results.
3. clothes recommended advertisements machine according to claim 1, it is characterised in that the inside of the advertisement machine shell is also set up
There is communicator, the communicator is used for the height data, the weight data, the age data and the gender
Data sending is to server；
And the server is received according to the height data, the weight data, the age data and the gender data
The obtained clothes recommendation results.
4. clothes recommended advertisements machine according to claim 1, it is characterised in that the display screen is touch-screen.
5. clothes recommended advertisements machine according to any one of claim 1 to 4, it is characterised in that the camera group bag
Include：Depth camera and multiple wide-angle cameras, multiple wide-angle cameras are by predetermined interval vertical arrangement in the advertisement
The front of machine shell, multiple wide-angle cameras are used for the plane realtime graphic for obtaining user's difference body part, institute
State the depth realtime graphic that depth camera is used to obtain the user；
The processor be specifically used for according to the plane realtime graphic of the user's face determine the user age data and
Gender data, and according to the depth realtime graphic and all the plane realtime graphics determine the height data of the user,
And the clothes recommended for the user are obtained according to the age data, gender data, height data and weight data
Fill recommendation results.
6. clothes recommended advertisements machine according to claim 5, it is characterised in that the processor is additionally operable to according to the use
The realtime graphic of family face obtains the colour of skin data of the user, and according to the colour of skin data in the clothes recommendation results
The clothes of different colours are screened, and obtain preferred garment recommendation results.
7. clothes recommended advertisements machine according to claim 5, it is characterised in that the processor is additionally operable to according to the depth
Degree realtime graphic and all the plane realtime graphic establish the threedimensional model of the user, and the obtained clothes are recommended
As a result the dress form in is worn on the threedimensional model of the user；
The display screen, which is additionally operable to display wearing, the threedimensional model of the dress form.
8. a kind of clothes recommend method, it is characterised in that including：
The realtime graphic of user is obtained, gathers the weight data of the user；
Height data, age data and the gender data of the user is obtained according to the realtime graphic；
According to the height data, the weight data, the age data and the gender data obtain for the user into
The clothes recommendation results that row is recommended.
9. clothes according to claim 8 recommend method, it is characterised in that described according to the height data, the body
Tuple evidence, the age data and the gender data obtain the clothes recommendation results recommended for the user, have
Body includes：
Using the height data of the user, the weight data, the age data and the gender data as inquiry
Condition, inquires about from the memory built in advertisement machine and obtains the dress form with preset attribute information matches as the clothes
Recommendation results are filled, the attribute information includes：Height information, weight information, age information and gender information.
10. clothes according to claim 8 recommend method, it is characterised in that described according to the height data, the body
Tuple evidence, the age data and the gender data obtain the clothes recommendation results recommended for the user, have
Body includes：
The height data, the weight data, the age data and the gender data are sent to server；
Receive that the server returns to the height data, the weight data, the age data and the gender number
According to the clothes recommendation results obtained after being analyzed.
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| CN201711477941.4A CN107993599A (en) | 2017-12-29 | 2017-12-29 | A kind of clothes recommend method and advertisement machine |
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| CN201711477941.4A CN107993599A (en) | 2017-12-29 | 2017-12-29 | A kind of clothes recommend method and advertisement machine |
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| CN201711477941.4A Pending CN107993599A (en) | 2017-12-29 | 2017-12-29 | A kind of clothes recommend method and advertisement machine |
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