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CN112561009A - Intelligent shoe cabinet and shoe management method and system thereof - Google Patents

Intelligent shoe cabinet and shoe management method and system thereof Download PDF

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Publication number
CN112561009A
CN112561009A CN202011521000.8A CN202011521000A CN112561009A CN 112561009 A CN112561009 A CN 112561009A CN 202011521000 A CN202011521000 A CN 202011521000A CN 112561009 A CN112561009 A CN 112561009A
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shoe
information
user
shoes
basic
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涂晋熙
涂勇
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Shenzhen Jinbo Ao Technology Co ltd
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Shenzhen Jinbo Ao Technology Co ltd
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Abstract

The invention discloses an intelligent shoe cabinet and a shoe management method and system thereof. The shoe management method of the intelligent shoe cabinet comprises the following steps: acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and related environment information of the shoes; acquiring user image information and shoe image information; executing a first preset operation on the shoe according to the shoe image information; executing second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet; recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the relevant environment information of the shoes; and providing comprehensive information service for the user according to the basic preset information of the user, the basic preset information of the shoe, the user image information and the shoe image information. The shoe management method of the intelligent shoe cabinet can manage shoes according to the user data information and the shoe data information, so that automatic recommendation of the shoes, automatic access of the shoes and other operations are achieved.

Description

Intelligent shoe cabinet and shoe management method and system thereof
Technical Field
The invention relates to the technical field of intelligent furniture, in particular to an intelligent shoe cabinet, a shoe management method of the intelligent shoe cabinet and a shoe management system of the intelligent shoe cabinet.
Background
At present, many products are produced in the field of intelligent furniture, wherein products related to an intelligent shoe cabinet are also produced, however, most of the intelligent shoe cabinets seen in the market still store shoes manually, and the shoe cabinets can only perform mechanical heating, drying and sterilizing functions.
Therefore, how to avoid the problem that the shoe cabinet cannot intelligently manage shoes is a technical problem which needs to be solved by technical personnel in the field at present.
Disclosure of Invention
The invention aims to provide an intelligent shoe cabinet, a shoe management method of the intelligent shoe cabinet and a shoe management system of the intelligent shoe cabinet, which can manage shoes according to user data information and shoe data information, thereby realizing automatic recommendation of the shoes, automatic access of the shoes and other operations.
In order to achieve the above object, the present invention provides a shoe management method for an intelligent shoe cabinet, comprising:
acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and related environment information of the shoes;
acquiring user image information and shoe image information;
executing corresponding first preset operation on the shoe according to the shoe image information;
executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet;
recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the relevant environment information of the shoes;
and providing comprehensive information service for the user according to the basic user preset information, the basic shoe preset information, the user image information and the shoe image information.
Optionally, the step of acquiring the basic preset information of the user, the basic preset information of the shoes, the internal and external environment information of the shoe cabinet and the environment information related to the shoes includes:
collecting and storing the name, birth date, age, sex, identity, height, weight, wearing, dressing, address of a permanent residence, current geographical position, number of shoes, current state, shoe size, life habit, life hobbies, social activities, occupation, driving habit, shoe correcting mode state and schedule of a user;
collecting and storing the name, size, material, type, identity, attribution, color, specification, applicable season, applicable scene, popularity and usage record of the shoe;
collecting and storing the temperature and humidity inside and outside the shoe cabinet;
weather information and traffic information are collected and stored.
Optionally, the step of acquiring the user image information and the shoe image information includes:
detecting and identifying a user and obtaining a user image;
detecting and identifying shoes and obtaining shoe images;
processing the user image and the shoe image and respectively obtaining user image information and shoe image information;
and saving the user image information and the shoe image information.
Optionally, the step of performing a corresponding first preset operation on the shoe according to the shoe image information includes:
and cleaning, oiling, maintaining, storing, heating, drying and taking out the shoes according to the shoe image information.
Optionally, the step of performing a second preset operation corresponding to the shoe cabinet interior according to the basic preset information of the shoes and the information of the inside and outside environment of the shoe cabinet includes:
and ventilating the inside of the shoe cabinet, heating the areas, drying the areas, and sterilizing according to the basic preset information of the shoes and the information of the inside and outside environment of the shoe cabinet.
Optionally, the step of recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user, and the environment information related to shoes includes:
performing data analysis on the user basic preset information, the shoe basic preset information, the user image information and the shoe related environment information to obtain an optimal recommendation result;
and displaying the optimal recommendation result to an operation interface for a user to select, and when the user is not satisfied with the optimal recommendation result, the user can independently select the shoes to be taken out.
Optionally, the step of providing a comprehensive information service to the user according to the user basic preset information, the shoe basic preset information, the user image information, and the shoe image information includes:
and providing life suggestions, travel suggestions, shoe maintenance suggestions, use suggestions, purchase link recommendations and intelligent interactive services for the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the image information of the shoes.
The invention also provides a shoe management system of the intelligent shoe cabinet, which comprises:
the preset information acquisition module is used for acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and shoe-using related environment information;
the image information acquisition module is used for acquiring user image information and shoe image information;
the shoe operation module is used for executing corresponding first preset operation on the shoe according to the shoe image information;
the shoe cabinet operation module is used for executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet;
the shoe recommending module is used for recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the environment information related to the shoes;
and the comprehensive information service module is used for providing comprehensive information service for the user according to the basic user preset information, the basic shoe preset information, the user image information and the shoe image information.
Optionally, the preset information obtaining module includes:
the basic preset information acquisition unit of the user is used for acquiring and storing the name, birth date, age, sex, identity, height, weight, wearing, dressing, address of permanent residence, current geographical position, quantity of owned shoes, current state, shoe size, living habits, living hobbies, social activities, occupation, driving habits, shoe use correction mode state and schedule of the user;
the shoe basic preset information acquisition unit is used for acquiring and storing the name, size, material, type, identity, attribution, color, specification, applicable season, applicable scene, popularity and use record of the shoe;
the shoe cabinet internal and external environment information acquisition unit is used for acquiring and storing the temperature and humidity inside and outside the shoe cabinet;
and the shoe-using related environment information acquisition unit is used for acquiring and storing weather information and traffic information.
The invention also provides an intelligent shoe cabinet, which comprises the shoe management system of the intelligent shoe cabinet.
Compared with the background art, the shoe management method for the intelligent shoe cabinet provided by the embodiment of the invention comprises the following steps: the method comprises the steps of obtaining basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and related environment information of shoes, obtaining image information of the user and image information of the shoes, executing corresponding first preset operation on the shoes according to the image information of the shoes, executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet, recommending the shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the related environment information of the shoes, and providing comprehensive information service for the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the image information of the. Therefore, the shoes are subjected to series of operations aiming at the specific image information reflected by the shoes, so that the automatic cleaning, storing and taking operations of the shoes are realized; corresponding operation is carried out on the inside of the shoe cabinet according to the basic information of the shoes and the information reflected by the inside and outside environment of the shoe cabinet, so that the operations of ventilation, sterilization, disinfection and the like in the shoe cabinet are conveniently realized, and the improvement of the inside environment of the shoe cabinet is facilitated; different shoes can be recommended to the user aiming at different users, different shoes and environment information related to the shoes, so that the user can obtain shoes which are most suitable for being worn and taken at the present day; in addition, comprehensive information service can be intelligently provided for the user through the acquired basic preset information of the user and the shoes and the image information of the user and the shoes. Obviously, compared with the prior art that the shoes are still stored manually, the shoes cannot be automatically recommended to the user and the comprehensive information service cannot be provided for the user, the shoe management method provided by the embodiment of the invention can establish the relation between the shoes and the user, and can solve the problem that the shoe cabinet and the user are independent from each other, so that the shoe cabinet can realize the operations of automatically storing and taking the shoes and the like according to the image information of the shoes, and execute the operations of cleaning and maintaining the inside of the shoe cabinet and the like according to the related information; in addition, the shoe cabinet can also automatically recommend shoes which best meet the current state to the user according to the user, basic data information of the shoes, image information of the user when going out and related environment information of the shoes, so that the shoes which are most suitable for wearing of each person can be recommended to the user, the problem that a lot of precious time is wasted in shoe selection is solved, the intelligence of the shoe cabinet can be greatly improved, and the use experience of the user is improved.
The invention further provides a shoe management system of the intelligent shoe cabinet and the intelligent shoe cabinet, and the beneficial effects are as above, and the details are not repeated here.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a shoe management method for an intelligent shoe cabinet according to an embodiment of the present invention;
fig. 2 is a block diagram of a shoe management system of an intelligent shoe cabinet according to an embodiment of the present invention.
Wherein:
101-a preset information acquisition module, 102-an image information acquisition module, 103-a shoe operation module, 104-a shoe cabinet operation module, 105-a shoe recommendation module and 106-a comprehensive information service module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The core of the invention is to provide an intelligent shoe cabinet, a shoe management method of the intelligent shoe cabinet and a shoe management system of the intelligent shoe cabinet, which can manage shoes according to user data information and shoe data information, thereby realizing automatic recommendation of the shoes, automatic access of the shoes and other operations.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1 and 2, fig. 1 is a flowchart illustrating a shoe management method for an intelligent shoe cabinet according to an embodiment of the present invention; fig. 2 is a block diagram of a shoe management system of an intelligent shoe cabinet according to an embodiment of the present invention.
The shoe management method of the intelligent shoe cabinet provided by the embodiment of the invention is shown in the attached figure 1 of the specification and comprises the following steps:
s1, acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and related environment information of the shoes;
s2, acquiring user image information and shoe image information;
s3, executing a corresponding first preset operation on the shoe according to the shoe image information;
s4, executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the information of the interior and exterior environment of the shoe cabinet;
s5, recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the environment information related to the shoes;
and S6, providing comprehensive information service for the user according to the basic preset information of the user, the basic preset information of the shoe, the user image information and the shoe image information.
Therefore, the shoes are subjected to series of operations aiming at the specific image information reflected by the shoes, so that the automatic cleaning, storing and taking operations of the shoes are realized; corresponding operation is carried out on the inside of the shoe cabinet according to the basic information of the shoes and the information reflected by the inside and outside environment of the shoe cabinet, so that the operations of cleaning, disinfecting and the like of the shoe cabinet are realized, and the improvement of the environment inside the shoe cabinet is facilitated; different shoes can be recommended to the user aiming at different users, different shoes and environment information related to the shoes, so that the user can obtain shoes which are most suitable for being worn and taken at the present day; in addition, comprehensive information service can be intelligently provided for the user through the acquired basic preset information of the user and the shoes and the image information of the user and the shoes.
Compared with the prior art that the shoes are still stored manually, the automatic recommendation of the shoes to the user cannot be realized, and the comprehensive information service cannot be provided for the user, the shoe management method provided by the embodiment of the invention can establish the relation between the shoes and the user, and can solve the problem that the shoe cabinet and the user are independent from each other, so that the shoe cabinet can realize the automatic storing and taking operations of the shoes and the like according to the image information of the shoes, and can execute the cleaning and maintenance operations and the like inside the shoe cabinet according to the related information; in addition, the shoe cabinet can also automatically recommend shoes which best meet the current state to the user according to the user, basic data information of the shoes, image information of the user when going out and related environment information of the shoes, so that the shoes which are most suitable for wearing of each person can be recommended to the user, the problem that a lot of precious time is wasted in shoe selection is solved, the intelligence of the shoe cabinet can be greatly improved, and the use experience of the user is improved.
With respect to step S1, acquiring user basic preset information, shoe cabinet inside and outside environment information, and shoe usage related environment information, generally speaking, includes:
collecting and storing a user's name, date of birth, age, gender, user identity (owner or guest), height, weight, wear, makeup, address of staying at home, current geographic location, number of shoes owned, current status (home or away), shoe size, lifestyle (time to go out and home), hobbies, social activities, shoe size, occupation, driving habits (whether to drive by oneself), shoe correction mode status (whether to turn on shoe correction mode), schedule of the user;
collecting and storing the name, size, material, type, identity (owner shoes or guest shoes), attribution, color, specification (length, width and height), applicable season, applicable scene, user's preference and usage record of shoes;
collecting and storing the temperature and humidity inside and outside the shoe cabinet;
weather information and traffic information are collected and stored.
Of course, the basic preset information of the user, the basic preset information of the shoes, the internal and external environment information of the shoe cabinet and the related environment information of the shoes include but are not limited to the above information, and other related information can be added according to the actual application requirements.
For step S2, acquiring user image information and shoe image information to acquire the current states of the user and the shoe in real time, mainly including the processes of detection, identification, processing and storage, specifically: detecting and identifying a user and obtaining a user image, detecting and identifying a shoe and obtaining a shoe image, processing the user image and the shoe image, respectively obtaining user image information and shoe image information, and storing the user image information and the shoe image information.
According to actual needs, an image acquisition device (such as a camera) can be adopted to detect and identify the user/shoe, and the camera for detecting and identifying the user is arranged on the shoe cabinet body or outside the door and is used for detecting the user in front of the camera and effectively identifying the identity information of the current user; the two cameras for detecting and identifying shoes are arranged, one camera is arranged on the cabinet body of the shoe cabinet and used for detecting shoes at the entrance and the exit of the shoe cabinet and identifying the current information of the shoes, and the other camera is arranged inside the shoe cabinet and used for detecting the shoes in the shoe cabinet, identifying the information of the shoes in the shoe cabinet and judging the states of the shoes.
In order to realize the management of the shoe cabinet to the basic preset information and the user image information of the user, the shoe cabinet further comprises:
generating a face detection model;
establishing and generating a face model library (recognition model) of all users;
inputting basic preset information (name, date of birth, age, gender and the like) of a user according to an operation instruction on a touch screen, and acquiring user image information (a face image of the user, predicted age, gender and the like) by using an image processing technology;
the database technology is used for storing user image information (one user corresponds to one face model) and basic identity information.
It should be noted that the information that is entered manually and entered in a manner that the image acquisition is entered in the user information coincides includes: gender of the user, wear of the user, age of the user, height of the user, and makeup of the user. Meanwhile, the image information of the user includes, but is not limited to, sex, wear, age, height, makeup, and image of the user.
Similarly, in order to manage the basic preset information and the image information of the shoes, the shoe cabinet further comprises:
generating a shoe detection model;
establishing and generating a shoe model library (recognition model) of all shoes;
using image processing technology to classify the styles of shoes (canvas shoes/leather shoes/sports shoes, etc.);
acquiring information (shoe images and types) contained in the shoe images by using an image processing technology according to basic information (name, love degree, size and the like) of the shoes input by an operation instruction on the touch screen;
the database technology is used to store the image information (one pair of shoes corresponds to one shoe model) and the basic identity information of the shoes.
It should be noted that the information recorded manually and recorded in the shoe information in a manner overlapping with the image acquisition and recording mode includes: the image of the shoe, the color of the shoe, the material of the shoe, the size of the shoe, and the style of the shoe. Meanwhile, the image information of the shoe includes, but is not limited to, an image, color, material, size, and style of the shoe.
The method for generating the detection model comprises the following steps:
preparing a picture material for generating a target detection model;
training the prepared picture material;
and waiting for the training to be completed, and generating a target detection model.
It should be noted that the picture materials are divided into two types, namely positive sample materials and negative sample materials, and the ratio is not less than 1: 3, wherein, positive sample material: the method comprises the steps that a picture which meets a target is obtained, and if a shoe detection model is generated, the picture of a shoe is prepared; negative sample materials: the picture which does not accord with the target is prepared if the shoe detection model is generated.
The training of the prepared material comprises the following steps:
i, generating a file description file of a positive sample material and a negative sample file description file (the file description file is in a vec format);
II, setting training layer number, splitting sub-node number, minimum hit rate (accuracy of a training target), maximum false alarm rate (false detection rate) and training feature types (vertical feature BASIC/vertical and 45-degree rotation feature ALL) in training parameters;
and III, operating a cascade classifier to read the training parameters, the positive sample file descriptors and the negative sample file descriptors for training.
Method for creating and generating a model library (recognition model), comprising:
starting a camera to acquire an image in real time;
loading a target detection model;
matching the image acquired in real time with the loaded target detection model;
if the matching is successful, obtaining a target image detected in the image, and if the matching is failed, circularly entering a matching process;
confirming a target, and setting parameters for generating a recognition model;
confirming parameters and starting to train an identification model;
after the recognition model training is finished, adding the recognition model training into a similar target recognition model library;
it should be noted that the contents of the loading target detection model are as follows: if the shoe identification model is generated, loading the shoe detection model; generating parameters of the recognition model, the parameters including:
i, an object label (a character string);
II, a target generation method (principal component analysis (PCA)/Fisher Discriminant (FDA)).
A method of extracting image information using image processing techniques, comprising: (taking shoes only as an example)
Loading a plurality of shoe type detection models;
the camera acquires images in real time, and type matching is carried out on the shoes in the images and the loaded shoe detection models;
and after the shoe is matched with the shoe detection model, processing the shoe image and extracting the parameter information of the shoe from the shoe image.
It should be noted that the above-mentioned loading of various types of shoe detection models includes, but is not limited to, a high-heeled shoe detection model, a canvas shoe detection model, a boot detection model, a leather shoe detection model, a sports shoe detection model, a sandal detection model, a slipper detection model, and the like; the above-mentioned parameter information of the shoes is extracted, and the parameter information includes, but is not limited to, the type of the shoes, the maximum length of the shoes, the maximum width of the shoes, the maximum height of the shoes, the placement position of the shoes (whether the shoes are placed in the lens shooting center of the camera), the deflection angle of the shoes (whether the shoes are placed right), and the like.
The following specifically describes a management method of user data information and shoe data information, and the management method of user data information specifically includes:
firstly, loading a face detection model;
secondly, starting a camera to acquire an image in real time;
thirdly, matching the image acquired in real time with a human face detection model;
step four, if the matching is successful, extracting the face information, and if the matching is failed, circularly entering the step three;
fifthly, after the face information is extracted, a label of the current face image is established, and the current face image, the face image label and the extracted face information are used as image information of a user and are displayed on an operation interface;
sixthly, the user confirms the current user image information on the operation interface, if the user image information needs to be modified, the user image information can also be modified on the current operation page, and then the information allowed to be input is input into the current operation page to serve as the basic information of the user;
seventhly, the user confirms the image information and the basic information of the user and associates the image information and the basic information of the user by using a database technology.
The step of associating the user image with the user basic information by using a database technology specifically comprises the following steps:
i, establishing a user information base table;
II, establishing a user image information field and a user basic information field in a user information base table, wherein the user image field comprises user age, user gender, a user image tag and a user face image, and the user basic information field comprises but is not limited to user name, user hobbies, user occupation, user height and user weight;
and III, adding data into the user image data field and the user basic information data field.
It should be noted that the extracted face information includes, but is not limited to, the age of the user, and the gender of the user; the basic information of the user includes, but is not limited to, the user's name, occupation, hobbies, height, weight.
The management method of the shoe data information specifically comprises the following steps:
firstly, starting a camera to acquire an image in real time;
secondly, loading various types of shoe detection models;
thirdly, matching the loaded shoe detection model with the image acquired in real time;
fourthly, starting to extract the parameter information of the shoes when the matching is successful, and circularly entering the third step when the matching is failed;
fifthly, after the shoe information is extracted, establishing a tag of the current shoe image, and displaying the current shoe image, the shoe tag and the information extracted from the shoe as the image information of the shoe to an operation page;
sixthly, the user confirms the image information of the current shoe on the operation interface, if necessary, the image information is also modified on the current operation page, and then data allowed to be input is input on the current operation interface to serve as the basic information of the shoe;
and seventhly, confirming the image information and the basic information of the shoes by the user, and associating the image information and the basic information of the shoes by utilizing a database technology. The method for associating the shoe image information with the basic information of the shoe by utilizing the database technology comprises the following steps of:
i, establishing a shoe information base table;
and II, establishing a shoe image field and a shoe basic information field in a shoe information base table, wherein the shoe image field comprises but is not limited to an image of a shoe, an image tag of the shoe, the type of the shoe, the length of the shoe, the width of the shoe and the height of the shoe, and the shoe basic information field comprises but is not limited to the name of the shoe, the purchase time of the shoe and the price of the shoe.
The basic information entered into the shoes includes, but is not limited to, names, purposes, applicable occasions, and affiliations (belonging to which user) of the shoes.
On the basis, the invention also provides a method for binding the shoe data information and the user data information, which specifically comprises the following steps:
step one, opening a database;
secondly, establishing a relational table containing user information and shoe information in a database;
thirdly, establishing fields related to the user and fields related to the shoes in the relational table in the second step;
and fourthly, adding data into the user field or the shoe field.
It should be noted that the fields in the database table include two aspects:
the method comprises the following steps of I, a user data information field, wherein the user data information field comprises but is not limited to images of users, image labels of the users, ages, sexes, professions, hobbies, heights, weights and driving habits;
II, a shoe data information field, wherein the shoe data information field comprises but is not limited to an image of a shoe, an image tag of the shoe, a size of the shoe, attribution of the shoe, type of the shoe and material of the shoe;
in addition, the key point for adding data in the user field is to add the name of the shoe in the shoe field owned by the user, and the key point for adding data in the shoe field is to add the name of the user in the home field of the shoe (belonging to that user).
For step S3, a corresponding first preset operation is performed on the shoe according to the shoe image information, which specifically includes: according to the shoe image information, cleaning operation, oiling maintenance operation, storage operation, heating operation, drying operation and taking-out operation are carried out on the shoes. Wherein, clean operation includes removing dust, washing etc. operation to the shoes surface, and heating operation includes carrying out the bulk heating to shoes, and drying operation includes carrying out the bulk drying to shoes, and the maintenance operation of oiling specifically includes the operation of oiling to the shoes surface.
The realization of above-mentioned operation can be through the internal clean module that sets up at the cabinet of intelligence shoe cabinet, deposit the module, lift transmission module and output module, wherein, output module swing joint is in the cabinet body, in order to realize for the cabinet body along horizontal direction concertina movement, clean module, it all sets up in the cabinet internally to deposit module and lift transmission module, clean module is used for supplying to treat that clean shoes are clean and the maintenance, it is used for depositing the shoes after the cleanness to deposit the module, and output module, clean module and deposit the module and all can follow horizontal conveying shoes, vertical motion can be followed to lift transmission module, and supply shoes at clean module, deposit the conveying between module and the output module.
Therefore, shoes taken off by a user can be conveyed into the cabinet body through the output module along the telescopic motion in the horizontal direction, the shoes are conveyed to the cleaning module through the lifting transmission module, the cleaning module can clean and maintain the shoes, and the cleaned shoes are conveyed to the storage module through the lifting transmission module to be stored; when the user needs to wear the shoes, the storage module can convey the corresponding shoes to the lifting transmission module, and the lifting transmission module conveys the shoes to the output module so that the user can wear the shoes.
The following describes a method for calculating an optimal shoe storage location according to the identified shoe image information, which specifically includes:
firstly, loading a shoe identification model library;
secondly, starting a camera to acquire an image in real time;
thirdly, matching shoes in a shoe model library by using the obtained images, and obtaining a matching result in real time;
fourthly, opening a database after a matching result is obtained;
fifthly, inquiring the 'bin position state' field information and the 'shoe bin position type' field information of the shoes in the 'shoe position storage table' in a database;
sixthly, acquiring the current optimal storage position of the shoes;
and seventhly, adding the image label of the current shoe into the 'bin state' field and the 'shoe bin type' field.
It should be noted that the matching result mentioned in the third step relates to three aspects:
i, acquiring shoes in real time, namely the existing shoes in a shoe cabinet, and adopting an existing shoe storage mode;
II, if the shoes obtained in real time are the shoes which do not exist in the shoe cabinet, a new shoe storage mode is adopted;
III, if the shoes are not in the image acquired in real time, circularly entering the third step.
The content of the "bin status" field mentioned in the fifth step is that no shoes are stored/a certain pair of shoes are stored, and the content of the "shoe bin type" field includes, but is not limited to, a high-heeled shoe bin/a canvas shoe bin/a boot shoe bin/a leather shoe bin/a sports shoe bin/a sandal bin/a slipper shoe bin; the method for acquiring the shoe storage positions in the sixth step comprises the steps of storing high-heeled shoes into a high-heeled shoe bin, storing canvas shoes into a canvas shoe bin, storing boots into a boot shoe bin, storing leather shoes into a leather shoe bin, storing sports shoes into a sports shoe bin, storing sandals into a sandal shoe bin and storing slippers into a slipper shoe bin.
The process of performing the maintenance operation on the shoe in step S4 specifically includes:
firstly, acquiring a proportionality coefficient (a ratio of a shoe pixel size to an actual size, namely how much actual distance a pixel size represents) between a shoe and a shoe image;
secondly, calibrating the actual distance represented by the distance between the image pixel point and the pixel point;
thirdly, opening a camera to obtain an image of a certain visual angle of the shoe;
fourthly, processing the shoe image acquired from the current visual angle;
fifthly, extracting information from the processed shoe image;
sixthly, judging the placement state of the shoes (whether the shoes are in the center of the lens and the placement angle theta of the shoes) by using the obtained information, judging whether the shoes are placed correctly, entering the next step if the shoes are placed correctly, and otherwise, adjusting the shooting angle of the camera/the placement angle theta of the shoes;
seventhly, storing all pixel points forming the outline of the shoe, moving the pixel points corresponding to the fixed actual distance according to the direction of the bow-shaped figure, and drawing the pixel positions formed in the outline of the shoe when the pixel positions move;
eighthly, drawing a motion track of the infrared ranging module by using the pixel points;
the ninth step, utilize the infrared distance measuring module to measure the distance to the object in the camera of the present position;
analyzing the variation trend between adjacent pixel points, and starting to segment the shoe image area;
eleventh, screening out the regions needing to be operated, and storing the positions of the pixel points needing to be operated;
a twelfth step of issuing a command to a manipulator unit, wherein the command includes a motion track of the manipulator, and the manipulator unit belongs to a part of a maintenance module in the shoe cabinet (the moving direction and the actual moving distance from a pixel point to the pixel point, and the longitudinal actual ascending distance/descending distance);
the steps for obtaining the proportionality coefficient between the shoe and the shoe image in the first step are as follows:
i, accurately acquiring the actual size of the shoe through a measuring instrument;
II, shooting the shoe by using a camera to obtain the pixel size of the shoe;
III, solving the proportion coefficient of the shoe and the shoe image, wherein the formula is as follows: the scaling factor is the shoe actual size/shoe image pixel size.
The following is specifically demonstrated by table 1:
TABLE 1
Actual length of shoes Shoe length pixel size Coefficient of length scale
10CM 98PX ≈0.1
Actual width of shoe Shoe width pixel size Coefficient of width proportionality
5CM 42PX ≈0.12
Actual height of shoes Shoe height pixel size Coefficient of height ratio
4CM 45PX ≈0.09
The formula for the actual distance content represented by the pixel distance between the calibration pixel point and the pixel point in the second step is as follows:
the actual separation distance is the distance between two pixels, i.e. the proportionality coefficient, and the demonstration is shown in table 2;
TABLE 2
Distance between two pixels Coefficient of proportionality Actual separation distance
1PX 0.1 0.1CM
70PX 0.1 0.7CM
324PX 0.1 3.24CM
The steps of processing the shoe image acquired at the current visual angle in the fourth step are as follows in sequence:
1. image filtering, which eliminates noise in the image while preserving the details of the shoe;
2. the image color space conversion, RGB color- > gray level image, realizes the equal RGB three-channel value, simplifies the image information;
3. image gray scale conversion, gray scale image- > black and white binary image, which is convenient for analyzing connectivity in the image, identifying object and matching template;
4. searching for a contour, and searching for a contour existing in the image;
5. screening the contours, namely removing the contours which do not conform to the size, and only keeping the contours of the shoes;
6. drawing a contour, namely drawing a minimum external rectangle of the shoe, a minimum external right rectangle of the shoe and the gravity center position of the shoe;
aiming at the information extraction from the processed shoe image in the fifth step, the extracted information comprises: the center of gravity position coordinates of the shoes, the length, width and height pixel sizes of the shoes, the offset angle theta of the shoes and the position coordinates of the lens center (the central point of the camera lens image) of the current image.
Aiming at the placement positions in the shoe placement state in the sixth step, the following four categories are arranged:
i, moving the shoe placement position to the left, and moving the camera to the right;
II, moving the camera to the left when the shoe is placed to the right;
III, the shoe placing position is leaned on the upper side, and the camera needs to move downwards;
IV, the shoe placement position is leaned on the lower side, and the camera needs to move upwards.
In addition, there are the following two types for the placement angle in the shoe placement state in the sixth step:
i, when the shoes are placed, the deflection direction is left, and the shoes need to be rotated clockwise;
II, the deflection direction when the shoes are placed is right, and the shoes need to be rotated anticlockwise.
And aiming at the ninth step, the distance from the camera at the current position to the object is measured by using the infrared ranging module, and the distance from the camera at the current position to the object is measured by using mathematical trigonometric function related knowledge and a target calibration mode in image processing except for the distance measurement of the infrared ranging module.
And step S4, performing a second preset operation corresponding to the inside of the shoe cabinet according to the basic preset information of the shoes and the information of the inside and outside environment of the shoe cabinet, wherein the second preset operation includes ventilation, zone heating, zone drying, sterilization, and the like of the inside of the shoe cabinet.
Specifically, when shoes are stored inside the shoe cabinet, in order to ensure the circulation of the shoes with outside air, the inside of the shoe cabinet needs to be properly ventilated to ensure the cleanliness of the air inside the shoe cabinet, and in addition, a local area inside the shoe cabinet can be heated, dried, sterilized and disinfected, thereby facilitating the cleaning and maintenance of the shoes stored inside the shoe cabinet.
In step S5, since the user may tangle with which pair of shoes to wear when going out, so that a lot of valuable time is wasted in shoe selection, in order to improve the user experience, the shoe cabinet may recommend shoes to the current user according to the user basic preset information, the shoe basic preset information, the user image information, and the shoe related environment information, first, data analysis is performed on the user basic preset information, the shoe basic preset information, the user image information, and the shoe related environment information to obtain an optimal recommendation result, then, the optimal recommendation result is displayed to the operation interface for the user to select, and if the user is finally unsatisfied with the recommendation result, the user can autonomously select the shoes that need to be taken out. Of course, the above-mentioned environment information related to the shoes includes, but is not limited to, weather information, traffic information, etc.
Thus, the process of recommending shoes is as follows: obtaining basic data information required by recommending shoes, performing data analysis on the obtained data to obtain the relationship between the data, matching to obtain the optimal recommendation result, displaying the optimal recommendation result to an operation interface for a user to select, and confirming the optimal recommendation result by the user. Of course, if the user is not satisfied with the current recommendation, the process of data analysis may be looped in to derive other recommendations, or the user manually selects a shoe.
The basic data information includes:
firstly, basic preset information of a user includes but is not limited to the state (ready to go out/go home), name, age, gender, occupation and hobby of the user;
secondly, the user image information is worn currently, wherein the current wearing style of the user includes but is not limited to leisure style, sports style, business style, gentlewoman style and sweet style;
thirdly, basic preset information of the shoes, including but not limited to the size, type, material, use record and applicable occasion of the shoes;
fourthly, information in the memorandum of the user, including but not limited to the departure time, the departure place, the stopover time and the final destination of the user;
information of weather, including but not limited to type of weather (such as cloudy day, rainy day, sunny day), air quality index (such as air quality is excellent, good, light pollution, moderate pollution), temperature;
the user status refers to the current status of the user, and the system pushes the outdoor shoes when the user status is ready for going out, and prepares the indoor shoes when the user status is going out and going home.
Several recommended shoe scenarios are demonstrated below:
combining preset conditions into a whole:
for a male user a;
starting a shoe correcting mode;
going out;
daily life;
outdoor low temperature weather;
going out in sunny days;
self-driving travel;
the recommendation result meeting the conditions is to recommend a pair of shoes which belong to the user A and can be suitable for low-temperature weather, sunny trip and formal occasions;
and a second preset condition combination:
a female user B;
starting a shoe correcting mode;
going out;
daily life;
outdoor normal temperature weather;
going out in sunny days;
non-self-driving travel;
the recommendation result meeting the conditions is to recommend a pair of shoes which belong to the user B and can be suitable for normal-temperature weather, sunny trip and formal occasions;
combining preset conditions:
a male user C;
starting a shoe correcting mode;
going out;
going out;
outdoor normal temperature weather;
going out in sunny days;
non-self-driving travel;
the recommendation result meeting the conditions is that a pair of shoes which belong to the user C and can be suitable for the user in normal temperature weather, sunny trip and sports occasions are recommended;
and the preset condition combination is four:
a male user D;
returning home;
indoor normal temperature weather;
the recommendation result meeting the conditions is that a pair of indoor shoes which belong to the user D and can be suitable for normal temperature weather is recommended.
With respect to step S6, providing a general information service to the user according to the user basic preset information, the shoe basic preset information, the user image information, and the shoe image information, the general information service including: user advice (user's life advice, travel advice); shoe recommendations (shoe care recommendations, use recommendations); recommending a third-party e-commerce platform purchasing link; and (4) intelligent interactive service.
It should be noted that the intelligent interactive service mainly realizes the following two points:
1. remote control (using desktop programs or various remote control modes such as mobile phone APP or WeChat small programs);
2. the shoe cabinet can be controlled by voice, and the shoe cabinet can also feed back information to the user in a voice broadcasting mode.
In order to optimize the above embodiment, the above shoe suggestion is provided to the user by the following specific processes: connecting a database to acquire required data information; analyzing the obtained data information to obtain an analysis result; and displaying the obtained analysis result to an operation interface for reference of a user.
The required data information for acquiring the connection data comprises two parts of contents:
the shoe data part comprises but is not limited to the receiving and recording time, the taking time, the using times, the storage time, the using time and the cleaning degree of the shoes;
other data parts including but not limited to shoe release meetings, public numbers and microblogs which are concerned by the user;
the process of analyzing the data information to obtain the analysis result includes, but is not limited to, the following:
when a user goes home in rainy days, suggesting the user to perform cleaning and drying operations for the current shoes;
when a user leaves a pair of shoes for a certain period of time, suggesting the user to implement a leaving treatment scheme on the pair of shoes;
the obtained result comprises two aspects:
shoe care recommendations, including but not limited to recommendations for cleaning and oiling the shoe;
shoe use recommendations, including but not limited to, recommendations to treat shoes that are not used for long periods of time, and recommendations to reduce frequency of use for shoes that are used at high frequencies.
Of course, according to actual needs, reference suggestions (such as life, travel, and the like) can be provided for the user by analyzing the data, and specifically include: connecting a database to acquire required data information; analyzing the obtained data information to obtain an analysis result; and displaying the obtained analysis result to an operation interface for reference of a user.
The required data information for acquiring the connection data comprises two parts of contents:
a user data part, wherein the user data comprises but is not limited to occupation, hobbies, daily trip frequency, daily trip time period distribution and daily trip purposes of the user;
other data portions including, but not limited to, the total number of shoes owned by the user, the number of athletic shoes owned by the user, the number of uses of the athletic shoes, the length of time the athletic shoes are stored.
The process of analyzing the data to obtain the analysis result includes, but is not limited to, the following:
according to the hobbies of the user, the user is recommended to go out to do the favorite things of the user in weekends and free time;
pushing the latest local ambient environment change to the user according to the frequently-going places of the user;
according to the destination where the user frequently goes on a business trip, drawing the recent traffic cost change trend of going to the destination;
the analysis results include two parts:
the user life suggestion comprises but is not limited to pushing shoe brand information liked by the user to the user and pushing information of shoe types liked by the user to the user;
user travel advice, user life advice including but not limited to advice that the user does a certain physical activity (playing basketball, swimming, etc.) at a certain time, advice that the user does a certain social activity (attending a concert, attending a public welfare activity, etc.).
Similarly, according to actual need, can also pass through third party's E-commerce platform behind the analytic data and push purchase link to the user, specifically include: connecting a database to acquire required data information; analyzing the obtained data information to obtain an analysis result; and displaying the obtained analysis result to an operation interface for reference of a user.
The required data information is acquired by the connection data, and comprises three parts of contents:
a user data part, wherein the user data comprises but is not limited to occupation, hobbies, daily trip frequency, daily trip purpose, shoe public number concerned by the user and shoe brand information concerned by the user;
the shoe data part comprises but not limited to the receiving and recording time, the taking time, the using times, the storage time, the using time, the cleaning degree and the damage degree of the shoes.
The process of analyzing the data to obtain the analysis result includes, but is not limited to, the following:
after the shoe with the best wearing frequency of the user is damaged, pushing a purchasing link of the same or similar shoe to the user;
when a pair of shoes is added to the user, the purchase link of the related shoe accessories and the purchase link of the shoe clothes matching are pushed to the user.
In summary, the shoe management method of the intelligent shoe cabinet comprises the following steps:
the basic preset information and the image information of the user and the basic preset information and the image information of the shoes can be completely collected by adopting an image identification mode;
data is stored by adopting a data storage technology and is synchronized to a network server, so that convenience is provided for user data migration while data loss is avoided;
the user information and the shoe information are subjected to data binding, so that the user can efficiently manage and operate own shoes;
the shoes are automatically stored and taken out according to the recognition result, so that the trouble that the shoes are stored or taken out manually is solved;
the shoe type identification method has the advantages that the shoe type identification is automatically carried out on the shoes through image identification, so that the information input flow is simplified, and a basis is provided for automatic storage of the shoes;
by intelligently analyzing the user data and the shoe data, valuable reference opinions can be provided for the user;
the method can be applied to any object by generating a general method for target detection, has a very wide application scene, and provides a method for the places needing target detection;
the shoes are heated, dried, sterilized and disinfected through the shoe cabinet function operating area, so that the hidden danger of disease breeding of feet of a user is eliminated to a certain extent;
the shoe cabinet has the advantages that the shoe cabinet is dedusted, cleaned and oiled through the shoe cabinet maintenance operation area, convenience is brought to the trip of a user, and meanwhile the service life of the shoe is prolonged.
The embodiment of the invention also provides a shoe management system of the intelligent shoe cabinet, as shown in the attached figure 2 of the specification, comprising:
the shoe cabinet comprises a preset information acquisition module 101, a shoe management module and a control module, wherein the preset information acquisition module 101 is used for acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and related environment information of shoes;
the image information acquisition module 102 is used for acquiring user image information and shoe image information;
the shoe operation module 103 is used for executing corresponding first preset operation on the shoe according to the shoe image information;
the shoe cabinet operation module 104 is used for executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet;
the shoe recommending module 105 is used for recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the environment information related to the shoes;
and the comprehensive information service module 106 is used for providing comprehensive information service for the user according to the basic preset information of the user, the basic preset information of the shoe, the user image information and the shoe image information.
Further, the preset information obtaining module 101:
the basic preset information acquisition unit of the user is used for acquiring and storing the name, birth date, age, sex, identity, height, weight, wearing, dressing, address of permanent residence, current geographical position, quantity of owned shoes, current state, shoe size, living habits, living hobbies, social activities, occupation, driving habits, shoe use correction mode state and schedule of the user;
the shoe basic preset information acquisition unit is used for acquiring and storing the name, size, material, type, identity, attribution, color, specification, applicable season, applicable scene, popularity and use record of the shoe;
the shoe cabinet internal and external environment information acquisition unit is used for acquiring and storing the temperature and humidity inside and outside the shoe cabinet;
and the shoe-using related environment information acquisition unit is used for acquiring and storing weather information and traffic information.
The image information acquiring module 102 includes:
a first detection unit: the system is used for detecting and identifying a user and obtaining a user image;
a second detection unit: the system is used for detecting and identifying the shoes and obtaining shoe images;
an image processing unit: the shoe management system is used for processing the user image and the shoe image and respectively obtaining user image information and shoe image information;
a storage unit: used for saving the user image information and the shoe image information.
The embodiment of the invention also provides a shoe management device of the intelligent shoe cabinet, which comprises:
a memory for storing a computer program;
and the processor is used for realizing the steps of the shoe management method of the intelligent shoe cabinet when executing the computer program.
The embodiment of the invention also provides an intelligent shoe cabinet, which comprises the shoe management system and the device, and further comprises a cleaning module, a storage module, a lifting transmission module, an output module and the like which are arranged in the cabinet body, wherein the output module is movably connected with the cabinet body to realize telescopic motion along the horizontal direction relative to the cabinet body, the cleaning module, the storage module and the lifting transmission module are all arranged in the cabinet body, the cleaning module is used for cleaning and maintaining shoes to be cleaned, the storage module is used for storing cleaned shoes, the output module, the cleaning module and the storage module can transversely transmit the shoes, and the lifting transmission module can vertically move and transmit the shoes among the cleaning module, the storage module and the output module.
It is noted that, in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity from another entity without necessarily requiring or implying any actual such relationship or order between such entities.
The intelligent shoe cabinet, the shoe management method of the intelligent shoe cabinet, the shoe management system of the intelligent shoe cabinet and the shoe management device of the intelligent shoe cabinet provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are provided only to help understand the concepts of the present invention and the core concepts thereof. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

Claims (10)

1. A shoe management method of an intelligent shoe cabinet is characterized by comprising the following steps:
acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of a shoe cabinet and related environment information of the shoes;
acquiring user image information and shoe image information;
executing corresponding first preset operation on the shoe according to the shoe image information;
executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet;
recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the relevant environment information of the shoes;
and providing comprehensive information service for the user according to the basic user preset information, the basic shoe preset information, the user image information and the shoe image information.
2. The shoe management method of the intelligent shoe chest according to claim 1, wherein the step of acquiring the user basic preset information, the shoe inside and outside environment information and the shoe using related environment information comprises:
collecting and storing the name, birth date, age, sex, identity, height, weight, wearing, dressing, address of a permanent residence, current geographical position, number of shoes, current state, shoe size, life habit, life hobbies, social activities, occupation, driving habit, shoe correcting mode state and schedule of a user;
collecting and storing the name, size, material, type, identity, attribution, color, specification, applicable season, applicable scene, popularity and usage record of the shoe;
collecting and storing the temperature and humidity inside and outside the shoe cabinet;
weather information and traffic information are collected and stored.
3. The shoe management method of the intelligent shoe chest according to claim 1, wherein the step of acquiring the user image information and the shoe image information comprises:
detecting and identifying a user and obtaining a user image;
detecting and identifying shoes and obtaining shoe images;
processing the user image and the shoe image and respectively obtaining user image information and shoe image information;
and saving the user image information and the shoe image information.
4. The shoe management method of the intelligent shoe chest according to any one of claims 1 to 3, wherein the step of performing the corresponding first preset operation on the shoes according to the shoe image information comprises:
and cleaning, oiling, maintaining, storing, heating, drying and taking out the shoes according to the shoe image information.
5. The shoe management method of the intelligent shoe chest according to any one of claims 1 to 3, wherein the step of performing a corresponding second preset operation on the inside of the shoe chest according to the basic preset information of the shoes and the internal and external environment information of the shoe chest comprises:
and ventilating the inside of the shoe cabinet, heating the areas, drying the areas, and sterilizing according to the basic preset information of the shoes and the information of the inside and outside environment of the shoe cabinet.
6. The shoe management method of the intelligent shoe chest according to any one of claims 1 to 3, wherein the step of recommending shoes to the user based on the user basic preset information, the shoe basic preset information, the user image information and the shoe using related environment information comprises:
performing data analysis on the user basic preset information, the shoe basic preset information, the user image information and the shoe related environment information to obtain an optimal recommendation result;
and displaying the optimal recommendation result to an operation interface for a user to select, and when the user is not satisfied with the optimal recommendation result, the user can independently select the shoes to be taken out.
7. The shoe management method of the intelligent shoe chest according to any one of claims 1 to 3, wherein the step of providing the user with the integrated information service based on the user basic preset information, the shoe basic preset information, the user image information and the shoe image information comprises:
and providing life suggestions, travel suggestions, shoe maintenance suggestions, use suggestions, purchase link recommendations and intelligent interactive services for the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the image information of the shoes.
8. A shoe management system of an intelligent shoe cabinet is characterized by comprising:
the shoe cabinet comprises a preset information acquisition module (101) for acquiring basic preset information of a user, basic preset information of shoes, internal and external environment information of the shoe cabinet and shoe-using related environment information;
the image information acquisition module (102) is used for acquiring user image information and shoe image information;
the shoe operation module (103) is used for executing corresponding first preset operation on the shoe according to the shoe image information;
the shoe cabinet operation module (104) is used for executing corresponding second preset operation on the interior of the shoe cabinet according to the basic preset information of the shoes and the internal and external environment information of the shoe cabinet;
the shoe recommending module (105) is used for recommending shoes to the user according to the basic preset information of the user, the basic preset information of the shoes, the image information of the user and the environment information related to the shoes;
and the comprehensive information service module (106) is used for providing comprehensive information service for the user according to the basic user preset information, the basic shoe preset information, the user image information and the shoe image information.
9. The shoe management system of the intelligent shoe chest according to claim 8, wherein the preset information acquiring module (101) comprises:
the basic preset information acquisition unit of the user is used for acquiring and storing the name, birth date, age, sex, identity, height, weight, wearing, dressing, address of permanent residence, current geographical position, quantity of owned shoes, current state, shoe size, living habits, living hobbies, social activities, occupation, driving habits, shoe use correction mode state and schedule of the user;
the shoe basic preset information acquisition unit is used for acquiring and storing the name, size, material, type, identity, attribution, color, specification, applicable season, applicable scene, popularity and use record of the shoe;
the shoe cabinet internal and external environment information acquisition unit is used for acquiring and storing the temperature and humidity inside and outside the shoe cabinet;
and the shoe-using related environment information acquisition unit is used for acquiring and storing weather information and traffic information.
10. An intelligent shoe chest, characterized by comprising the shoe management system of the intelligent shoe chest as claimed in any one of claims 8 to 9.
CN202011521000.8A 2020-12-21 2020-12-21 Intelligent shoe cabinet and shoe management method and system thereof Pending CN112561009A (en)

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