CN111815408A - Clothes fitting system under Internet of things - Google Patents
Clothes fitting system under Internet of things Download PDFInfo
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- CN111815408A CN111815408A CN202010628608.4A CN202010628608A CN111815408A CN 111815408 A CN111815408 A CN 111815408A CN 202010628608 A CN202010628608 A CN 202010628608A CN 111815408 A CN111815408 A CN 111815408A
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Electronic shopping [e-shopping] utilising user interfaces specially adapted for shopping
- G06Q30/0643—Electronic shopping [e-shopping] utilising user interfaces specially adapted for shopping graphically representing goods, e.g. 3D product representation
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Abstract
The invention provides a garment fitting system under the Internet of things, and relates to the technical field of garment fitting. The clothes fitting system under the Internet of things comprises a data acquisition module, a wireless transmission module, a data analysis module, a parameter setting module, a dynamic acquisition module, a characteristic decomposition module, a shaping recombination module, a virtual fitting module, a central processing module, a data storage module, a form display module, a result generation module and an opinion feedback module. According to the invention, the whole clothes fitting system is based on the Internet of things, not only can be used for fitting off-line clothes, but also can be used for fitting on-line clothes, the on-line clothes and the off-line clothes can be simultaneously carried out, the fitting selectivity is more diversified, different customer requirements can be met, meanwhile, the whole fitting system has more reasonable functions, the size of the clothes required by a user can be analyzed, the color and the type of the clothes suitable for the user can be analyzed according to the form of the user, and the clothes fitting system can be different from person to person.
Description
Technical Field
The invention relates to the technical field of clothes trying-on, in particular to a clothes trying-on system under the Internet of things.
Background
With the popularization of computers and smart phones, online shopping has been developed as one of important shopping channels of people, but for non-standardized commodities such as clothes, shoes and bags, and the like, the commodities with strong personal experience feeling are provided, the problems of 'pictures have color difference, sizes have errors and the quality is not visual' exist in online shopping, customers cannot try on themselves before ordering, and the real objects have larger deviation from expectations, so that the continuous expansion of the online shopping market of clothes, shoes and bags is restricted.
At present, some dress brands adopt the mode of online store and off-line entity shop, online money selection, off-line fitting, solve the online shopping dress and can not try on the problem of experience in person, however, generally can only either try on the line among the prior art, or try on off the line, the alternative ratio of trying on is more single, can't satisfy different customer demands, and simultaneously, current try on system function is comparatively simple, generally can only simple analysis user need wear the clothing of big size, can not be from person to person, there is certain limitation.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a garment fitting system under the Internet of things, which solves the defects and shortcomings in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a clothes fitting system under the Internet of things comprises a data acquisition module, a wireless transmission module, a data analysis module, a parameter setting module, a dynamic acquisition module, a characteristic decomposition module, a sizing recombination module, a virtual fitting module, a central processing module, a data storage module, a form display module, a result generation module and an opinion feedback module, wherein the data analysis module, the sizing recombination module, the data storage module and the result generation module are all connected with the central processing module, the data acquisition module is connected with the data analysis module, the wireless transmission module is connected with the data acquisition module, the parameter setting module is connected with the data analysis module, the dynamic acquisition module is connected with the characteristic decomposition module, the characteristic decomposition module is connected with the sizing recombination module, the virtual fitting module is connected with the sizing recombination module, the opinion feedback module is connected with the result generation module, and the form display module is connected with the data storage module.
Preferably, the data acquisition module is used for acquiring data such as the body temperature, the height and the three-dimensional circumference of the try-on person, the wireless transmission module is used for sending the data acquired by the data acquisition module to the data analysis module, and the transmission mode of the wireless transmission module includes but is not limited to Wifi, GPRS, Bluetooth and the like.
Preferably, the data analysis module is configured to analyze the received data, determine whether the size of the try-on person is appropriate, and give a corresponding suggestion, and the parameter setting module is configured to set and adjust corresponding parameters, where the parameters include a garment size, a color, a category, and the like.
Preferably, the dynamic acquisition module is configured to acquire a plurality of dynamic images of the try-on person and generate a planar model, the feature decomposition module decomposes the plurality of acquired planar models and extracts key feature points in each planar model, the sizing recombination module recombines all the extracted key feature points to acquire a three-dimensional dynamic model of the try-on person, and the virtual try-on module is configured to load different garments according to the three-dimensional dynamic model and visually display the garments in front of the try-on person.
Preferably, the result generating module is configured to generate fitting data of the fitting wearer, and generate a proper garment size, a proper garment color, and a proper garment type of the fitting wearer according to the fitting data, and the opinion feedback module is configured to enable the fitting wearer to feed back an opinion and to feed back whether a result generated by the result generating module is satisfactory.
Preferably, the data storage module is configured to store fitting information of each user and create an individual folder for each user, and the form display module is configured to display a fitting form of the fitting user in real time and scale the fitting form according to an actual time state according to a certain proportion.
Preferably, the system comprises the following usage:
1) trying on under the line: the method comprises the steps that detection equipment is additionally arranged in a try-on garment, a data acquisition module acquires data such as the body temperature, the height and the three-dimensional circumference of a try-on person through the detection equipment, the data acquired through a wireless transmission module are sent to a data analysis module, the data analysis module analyzes the received data, judges whether the size of the try-on person is proper or not and gives corresponding suggestions, a result generation module generates the try-on data of the try-on person, and meanwhile the proper garment size, garment color and garment type of the try-on person are generated according to the try-on data;
2) trying on the line: the dynamic acquisition module acquires a plurality of dynamic images of a try-on person, wherein the dynamic images at least comprise images of the front side, the back side and two side surfaces, the acquired dynamic images are generated into a plane model, the acquired plane models are decomposed, key feature points in each plane model are extracted, all the key feature points are recombined to obtain a three-dimensional dynamic model of the try-on person, finally, different clothes are tried on by using the virtual try-on module, the result generation module generates try-on data of the try-on person, and meanwhile, the proper clothes size, clothes color and clothes type of the try-on person are generated according to the try-on data.
(III) advantageous effects
The invention provides a clothes fitting system under the Internet of things. The method has the following beneficial effects:
according to the invention, the whole clothes fitting system is based on the Internet of things, not only can be used for fitting off-line clothes, but also can be used for fitting on-line clothes, the on-line clothes and the off-line clothes can be simultaneously carried out, the fitting selectivity is more diversified, different customer requirements can be met, meanwhile, the whole fitting system has more reasonable functions, the size of the clothes required by a user can be analyzed, the color and the type of the clothes suitable for the user can be analyzed according to the form of the user, and the clothes fitting system can be different from person to person.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
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.
Example (b):
as shown in fig. 1, an embodiment of the present invention provides a clothing fitting system under internet of things, which includes a data acquisition module, a wireless transmission module, a data analysis module, a parameter setting module, a dynamic acquisition module, a feature decomposition module, a shaping recombination module, a virtual fitting module, a central processing module, a data storage module, a form display module, a result generation module and an opinion feedback module, wherein the data analysis module, the shaping recombination module, the data storage module and the result generation module are all connected with the central processing module, the data acquisition module is connected with the data analysis module, the wireless transmission module is connected with the data acquisition module, the parameter setting module is connected with the data analysis module, the dynamic acquisition module is connected with the feature decomposition module, the feature decomposition module is connected with the shaping recombination module, the virtual fitting module is connected with the shaping recombination module, the opinion feedback module is connected with the result generation module, and the form display module is connected with the data storage module.
The data acquisition module is used for acquiring data of the body temperature, the height, the three-dimensional circumference and the like of the try-on person, the wireless transmission module is used for sending the data acquired by the data acquisition module to the data analysis module, and the transmission mode of the wireless transmission module comprises but is not limited to Wifi, GPRS, Bluetooth and the like; the data analysis module is used for analyzing the received data, judging whether the size of the try-on person is proper or not and giving corresponding suggestions, and the parameter setting module is used for setting and adjusting corresponding parameters, wherein the parameters comprise clothing size, color, type and the like; the dynamic acquisition module is used for acquiring a plurality of dynamic images of a try-on person and generating a plane model, the characteristic decomposition module is used for decomposing the plurality of acquired plane models, extracting key characteristic points in each plane model, the shaping recombination module is used for recombining all the extracted key characteristic points to acquire a three-dimensional dynamic model of the try-on person, and the virtual try-on module is used for loading different clothes according to the three-dimensional dynamic model and visually displaying the clothes in front of the try-on person; the result generation module is used for generating fitting data of the fitting person, and meanwhile, the proper clothing size, clothing color and clothing type of the fitting person are generated according to the fitting data; the data storage module is used for storing the fitting information of each user and establishing an independent folder for each user, and the form display module is used for displaying the fitting form of the fitting person in real time and scaling the fitting form according to the actual time state according to a certain proportion.
In the invention, the system comprises the following contents:
1) trying on under the line: the method comprises the steps that detection equipment is additionally arranged in a try-on garment, a data acquisition module acquires data such as the body temperature, the height and the three-dimensional circumference of a try-on person through the detection equipment, the data acquired through a wireless transmission module are sent to a data analysis module, the data analysis module analyzes the received data, judges whether the size of the try-on person is proper or not and gives corresponding suggestions, a result generation module generates the try-on data of the try-on person, and meanwhile the proper garment size, garment color and garment type of the try-on person are generated according to the try-on data;
2) trying on the line: the dynamic acquisition module acquires a plurality of dynamic images of a try-on person, wherein the dynamic images at least comprise images of the front side, the back side and two side surfaces, the acquired dynamic images are generated into a plane model, the acquired plane models are decomposed, key feature points in each plane model are extracted, all the key feature points are recombined to obtain a three-dimensional dynamic model of the try-on person, finally, different clothes are tried on by using the virtual try-on module, the result generation module generates try-on data of the try-on person, and meanwhile, the proper clothes size, clothes color and clothes type of the try-on person are generated according to the try-on data.
According to the invention, the whole clothes fitting system is based on the Internet of things, not only can be used for fitting off-line clothes, but also can be used for fitting on-line clothes, the on-line clothes and the off-line clothes can be simultaneously carried out, the fitting selectivity is more diversified, different customer requirements can be met, meanwhile, the whole fitting system has more reasonable functions, the size of the clothes required by a user can be analyzed, the color and the type of the clothes suitable for the user can be analyzed according to the form of the user, and the clothes fitting system can be different from person to person.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a reference structure" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a clothing try-on system under thing networking which characterized in that: the system comprises a data acquisition module, a wireless transmission module, a data analysis module, a parameter setting module, a dynamic acquisition module, a characteristic decomposition module, a shaping recombination module, a virtual try-on module, a central processing module, a data storage module, a form display module, a result generation module and an opinion feedback module, wherein the data analysis module, the shaping recombination module, the data storage module and the result generation module are all connected with the central processing module, the data acquisition module is connected with the data analysis module, the wireless transmission module is connected with the data acquisition module, the parameter setting module is connected with the data analysis module, the dynamic acquisition module is connected with the characteristic decomposition module, the characteristic decomposition module is connected with the shaping recombination module, the virtual try-on module is connected with the shaping recombination module, and the opinion feedback module is connected with the result generation module, the form display module is connected with the data storage module.
2. The system of claim 1, wherein the system comprises: the data acquisition module is used for acquiring data such as the body temperature, the height and the three-dimensional circumference of the try-on person, the wireless transmission module is used for sending the data acquired by the data acquisition module to the data analysis module, and the transmission mode of the wireless transmission module comprises but is not limited to the modes such as Wifi, GPRS and Bluetooth.
3. The system of claim 1, wherein the system comprises: the data analysis module is used for analyzing the received data, judging whether the size of the try-on person is proper or not and giving corresponding suggestions, and the parameter setting module is used for setting and adjusting corresponding parameters, wherein the parameters comprise clothing size, color, type and the like.
4. The system of claim 1, wherein the system comprises: the dynamic acquisition module is used for acquiring a plurality of dynamic images of the try-on person and generating a plane model, the characteristic decomposition module is used for decomposing the plurality of acquired plane models and extracting key characteristic points in each plane model, the sizing recombination module is used for recombining all the extracted key characteristic points to acquire a three-dimensional dynamic model of the try-on person, and the virtual try-on module is used for loading different clothes according to the three-dimensional dynamic model and visually displaying the clothes in front of the try-on person.
5. The system of claim 1, wherein the system comprises: the result generation module is used for generating fitting data of the fitting person, meanwhile, the proper clothing size, clothing color and clothing type of the fitting person are generated according to the fitting data, and the opinion feedback module is used for enabling the fitting person to feed back the fitting opinions and whether the result generated by the result generation module is satisfied or not.
6. The system of claim 1, wherein the system comprises: the data storage module is used for storing the fitting information of each user and establishing an independent folder for each user, and the form display module is used for displaying the fitting form of the fitting person in real time and scaling the fitting form according to the actual time state according to a certain proportion.
7. The system of any one of claims 1 to 6, wherein the system comprises: the system comprises the following contents:
1) trying on under the line: the method comprises the steps that detection equipment is additionally arranged in a try-on garment, a data acquisition module acquires data such as the body temperature, the height and the three-dimensional circumference of a try-on person through the detection equipment, the data acquired through a wireless transmission module are sent to a data analysis module, the data analysis module analyzes the received data, judges whether the size of the try-on person is proper or not and gives corresponding suggestions, a result generation module generates the try-on data of the try-on person, and meanwhile the proper garment size, garment color and garment type of the try-on person are generated according to the try-on data;
2) trying on the line: the dynamic acquisition module acquires a plurality of dynamic images of a try-on person, wherein the dynamic images at least comprise images of the front side, the back side and two side surfaces, the acquired dynamic images are generated into a plane model, the acquired plane models are decomposed, key feature points in each plane model are extracted, all the key feature points are recombined to obtain a three-dimensional dynamic model of the try-on person, finally, different clothes are tried on by using the virtual try-on module, the result generation module generates try-on data of the try-on person, and meanwhile, the proper clothes size, clothes color and clothes type of the try-on person are generated according to the try-on data.
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| CN202010628608.4A CN111815408A (en) | 2020-07-02 | 2020-07-02 | Clothes fitting system under Internet of things |
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| CN202010628608.4A CN111815408A (en) | 2020-07-02 | 2020-07-02 | Clothes fitting system under Internet of things |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104517219A (en) * | 2013-09-28 | 2015-04-15 | 南京专创知识产权服务有限公司 | Taobao virtual fitting system |
| CN109003168A (en) * | 2018-08-16 | 2018-12-14 | 深圳Tcl数字技术有限公司 | Virtual fit method, smart television and computer readable storage medium |
| CN109934636A (en) * | 2019-03-19 | 2019-06-25 | 江苏皓之睿数字科技有限公司 | A kind of intelligent three-dimensional clothes tries collocation system and method on |
| CN110946350A (en) * | 2019-12-26 | 2020-04-03 | 江西服装学院 | Intelligent garment with human body sign monitoring function |
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2020
- 2020-07-02 CN CN202010628608.4A patent/CN111815408A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104517219A (en) * | 2013-09-28 | 2015-04-15 | 南京专创知识产权服务有限公司 | Taobao virtual fitting system |
| CN109003168A (en) * | 2018-08-16 | 2018-12-14 | 深圳Tcl数字技术有限公司 | Virtual fit method, smart television and computer readable storage medium |
| CN109934636A (en) * | 2019-03-19 | 2019-06-25 | 江苏皓之睿数字科技有限公司 | A kind of intelligent three-dimensional clothes tries collocation system and method on |
| CN110946350A (en) * | 2019-12-26 | 2020-04-03 | 江西服装学院 | Intelligent garment with human body sign monitoring function |
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Application publication date: 20201023 |