Garment customization smart store system

Abstract

The invention relates to the technical field of clothing customization systems, in particular to a clothing customization intelligent store system, which comprises a reception system, an intelligent measurement system, a 3D selection intelligent recommendation system, an automatic ordering system and a background management system which are arranged in a store, and is characterized in that the reception system comprises a reservation registration module, an identity recognition module and a positioning module; the reservation registration module accesses a smart store system database and calls authentication information of a reservation visitor for registration, and the identity recognition module recognizes user visiting information. The garment customization smart store system provided by the invention has the advantage of enabling the entity store in a digital manner, can perform recommendation and matching according to various data of the body, provides more accurate style recommendation for the user, can greatly improve the efficiency and accuracy of style selection, provides better shopping experience for the user, and has a good market prospect. And meanwhile, stores can be helped to better understand customized clothing market demands and user preferences, and product design and marketing decisions are optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing customization systems, and specifically to a smart store system for clothing customization. Background Art

[0002] Clothing customization is clothing made to measure for a specific wearer according to their personal circumstances, usually made one by one. Most clothing stores operate in this way. The business model of customized clothing is also called personalized clothing design. Usually, the fabric color and pattern are selected and the clothing style is determined according to the wearer's personal body shape, skin color, occupation, temperament, hobbies, etc., and usually charges a higher price. High-end customized clothing has a large gap in the market, mainly because the requirement for the craftsmanship level of the manufacturer is relatively high.

[0003] With the progress of technology, automated stores have attracted more and more attention from peers in the customized suit industry. More and more users tend to carry out clothing customization, and they can make selections according to their own preferences after filling in their body measurements. Currently, customized suits are usually measured manually, and the user experience remains in the primitive stage, unable to reflect the service level and product hierarchy for customers, making it difficult to meet the customized needs of customers and resulting in a decline in industry competitiveness. Therefore, we propose a smart store system for clothing customization to solve this problem. Summary of the Invention

[0004] The purpose of the present invention is to provide a smart store system for clothing customization, which has the advantage of empowering physical stores digitally, and solves the problem that currently customized suits are usually measured manually, and the user experience remains in the primitive stage, unable to reflect the service level and product hierarchy for customers.

[0005] To achieve the above object, the present invention provides the following technical solution: A smart store system for clothing customization, including a reception system, an intelligent measurement system, a 3D style selection and intelligent recommendation system, an automatic order placement system, and a background management system set in the store.

[0006] The reception system includes a reservation registration module, an identity recognition module, and a positioning module. The reservation registration module accesses the database of the smart store system and calls the authentication information of the reserved visitors for registration. The identity recognition module identifies the arrival information of users, accurately identifying staff, ordinary users, and member users. The positioning module integrates GPS positioning functions and is used to locate the smart store and obtain location information;

[0007] The intelligent measurement system includes a measurement module, and the measurement content includes height, weight, chest circumference, waist circumference, hip circumference, shoulder width, clothing length, and sleeve length, measuring the data required for making ready-to-wear clothes;

[0008] The 3D style selection intelligent recommendation system includes a clothing style module, a collar module, a cuff module, a pocket module, a sleeve type module, and a 3D display module;

[0009] The automatic order placement system includes an order acquisition module, an order evaluation module, an order generation module, and an order evaluation module;

[0010] The background management system includes a permission management module, a security authentication module, a marketing promotion module, and a logistics management module.

[0011] Preferably, the data of the intelligent measurement system is uploaded to the cloud server to store user information and match ready-to-wear data for automatic identification.

[0012] Preferably, the 3D style selection intelligent recommendation system realizes intelligent matching through the clothing style module, the collar module, the cuff module, the pocket module, the sleeve type module, and the 3D display module according to data such as height, weight, age, and dressing occasion.

[0013] In the present invention, a clothing customization intelligent store system further includes a clothing style selection intelligent matching method, and the intelligent matching method includes the following steps:

[0014] S1: Obtain the basic characteristic parameters of the user measured by the intelligent measurement system, determine the corresponding human joint points, and perform three-dimensional construction through the user's body data to obtain a human body model;

[0015] S2: The camera in the intelligent store scans the human face features, the system extracts the user's face feature data, and combines the human body model with the user's face feature data to obtain the user's initial human body simulation model;

[0016] S3: The system presets a human body movement model. After importing the initial human body simulation model, it outputs a user's human body simulation model with multiple movement postures, and the dressing appearance of each movement posture can be previewed;

[0017] S4: The clothing style module imports various styles of clothing that fit the size, wears the clothing on the human body simulation model, and uses the 3D display module to comprehensively display the visual effect of trying on clothes at 360°, recommends the products for the user to choose.

[0018] Preferably, the clothing style module generates clothing styles for the user to view through categories, collar types, pockets, cuffs, sleeve types, and 3D displays.

[0019] Preferably, the order acquisition module is used to obtain the user's order placement requirements, the order evaluation module automatically generates an order or transfers it to manual service according to the user's requirements, the order generation module includes the final generation and cancellation functions of the order, and the order evaluation module is used to issue evaluation service information and obtain the user's service score.

[0020] Preferably, the permission management module is used to set the roles and permissions of store management personnel, responsible for various functions within the smart store. The security authentication module is used to identify user login information and prevent non-management personnel from modifying store information. The marketing and promotion module is used to set store marketing activity information and new product category push information. The logistics management module is used to obtain user address information and ship goods according to the clothing styles selected by the user.

[0021] Preferably, the smart store system for clothing customization can comprehensively display and analyze products and fabrics through 3D rendering technology, obtain detailed information and features of products, and use intelligent algorithms and data analysis to provide more accurate style recommendations for users based on personalized factors such as age, skin color, and preferences.

[0022] In the present invention, the smart store system for clothing customization further includes a body photo measurement and sizing system, which includes an image acquisition module, an image processing module, a size calculation module, and a display module.

[0023] Preferably, the image acquisition module is used to obtain photo images. The image processing module analyzes and processes the photo images to identify measurement standards and feature points in the human body images. The size calculation module calculates the human body size using specific algorithms based on the image processing results. The display module displays the calculated size information to the user.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0025] Through the settings of the reception system, intelligent measurement system, 3D style selection and intelligent recommendation system, and automatic order placement system, the present invention has the advantage of digitally empowering physical stores. Without the need for manual measurement of clothing data, it can display product information and recommend combinations based on various body data, provide more accurate style recommendations for users, greatly improve the efficiency and accuracy of style selection, provide a better shopping experience for users, and at the same time help stores better understand the market demand for customized clothing and user preferences, optimize product design and marketing decisions, and solve the problem that currently, custom-made suits are usually measured manually, and the user experience remains at the primitive stage, unable to reflect the service level for customers and the product hierarchy. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a system diagram of the smart store system for clothing customization of the present invention;

[0027] Figure 2 It is a system diagram of the body photo measurement and sizing system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0029] To solve technical problems, such as Figure 1 and 2 as shown, the following preferred technical solutions are provided:

[0030] A smart store system for customized clothing includes a reception system, an intelligent measurement system, a 3D style selection intelligent recommendation system, an automatic order placement system, and a background management system set in the store.

[0031] The reception system includes a reservation registration module, an identity recognition module, and a positioning module. The reservation registration module accesses the database of the smart store system and calls the authentication information of the reserved visitors for registration. The identity recognition module identifies the user's arrival information and accurately identifies staff, ordinary users, and member users. The positioning module integrates GPS positioning function to locate the smart store and obtain location information;

[0032] The intelligent measurement system includes a measurement module, and the measurement content includes height, weight, chest circumference, waist circumference, hip circumference, shoulder width, clothing length, and sleeve length, measuring the data required for making ready-to-wear clothes;

[0033] The 3D style selection intelligent recommendation system includes a clothing style module, a collar module, a cuff module, a pocket module, a sleeve type module, and a 3D display module;

[0034] The automatic order placement system includes an order acquisition module, an order evaluation module, an order generation module, and an order evaluation module;

[0035] The background management system includes a permission management module, a security authentication module, a marketing promotion module, and a logistics management module.

[0036] In this embodiment, the data of the intelligent measurement system is uploaded to the cloud server to store user information and automatically identify by matching the ready-to-wear data.

[0037] In this embodiment, the 3D style selection intelligent recommendation system realizes intelligent matching through the clothing style module, the collar module, the cuff module, the pocket module, the sleeve type module, and the 3D display module according to the data of height, weight, age, and dressing occasion.

[0038] In the present invention, a smart store system for customized clothing further includes a method for intelligent matching of clothing style selection. The intelligent matching method includes the following steps:

[0039] S1: Obtain the basic characteristic parameters of the user measured by the intelligent measurement system, determine the corresponding human joint points, and perform three-dimensional construction through the user's human data to obtain a human body model.

[0040] S2: The camera in the intelligent store scans the human facial features, the system extracts the user's facial feature data, and combines the user's facial feature data with the human body model to obtain the user's initial human body simulation model.

[0041] S3: The system presets a human body movement model. After importing the initial human body simulation model, it outputs a user's human body simulation model with various movement postures, and the dressing appearance of each movement posture can be previewed.

[0042] S4: The clothing style module imports various styles of clothing that fit the size, dresses the clothing on the human body simulation model, and uses the 3D display module to comprehensively display the visual effect of trying on clothes 360°, and recommends products for the user to choose.

[0043] In this embodiment, the clothing style module generates clothing styles for the user to view through categories, collar types, pockets, cuffs, sleeve types, and 3D display.

[0044] In this embodiment, the order acquisition module is used to obtain the user's order placement requirements. The order evaluation module automatically generates an order or transfers it to manual service according to the user's requirements. The order generation module includes the final order generation and order cancellation functions. The order evaluation module is used to issue evaluation service information and obtain the user's service score.

[0045] In this embodiment, the permission management module is used to set the roles and permissions of the store management personnel, and is responsible for various functions within the intelligent store. The security authentication module is used to identify the user's login information and prevent non-management personnel from modifying the store information. The marketing promotion module is used to set the store marketing activity information and new category push information. The logistics management module is used to obtain the user's address information and deliver the goods according to the clothing style selected by the user.

[0046] In this embodiment, the intelligent clothing customization store system can comprehensively display and analyze products and fabrics through 3D rendering technology, obtain detailed information and characteristics of products, and use intelligent algorithms and data analysis to provide more accurate style recommendations for users according to personalized factors such as the user's age, skin color, and preferences.

[0047] Furthermore, in this embodiment, the intelligent measurement system is connected to the display module, and the display module has a body shape display. The data of the measurement system has an adjustment effect on the body shape display.

[0048] Furthermore, in this embodiment, through 3D display technology, products and fabrics can be comprehensively displayed and analyzed, and detailed information and characteristics of products can be obtained.

[0049] In the present invention, the intelligent store system for clothing customization further includes a body size measurement system from photos, which includes an image acquisition module, an image processing module, a size calculation module, and a display module. Using advanced image processing technology, this body size measurement system from photos can quickly and accurately measure the size of the human body in the photo, providing an efficient and convenient measurement solution.

[0050] In this embodiment, the image acquisition module is used to obtain photo images. The image processing module analyzes and processes the photo images, identifies the measurement standards and feature points in the human body images. The size calculation module calculates the size of the human body using specific algorithms based on the results of image processing, and the display module displays the calculated size information to the user.

[0051] In summary, the intelligent store system for clothing customization proposed by the present invention, by setting up a reception system, an intelligent measurement system, a 3D style selection intelligent recommendation system, an automatic order placement system, and a background management system, has the advantage of digitally empowering physical stores. Without the need for manual measurement of clothing data, it can display product information and recommend combinations based on various body data, provide more accurate style recommendations for users, greatly improve the efficiency and accuracy of style selection, provide a better shopping experience for users, and at the same time help the store better understand the market demand for customized clothing and user preferences, optimize product design and marketing decisions, solving the problem that currently, custom-made suits are usually measured manually, and the user experience remains at the primitive stage, unable to reflect the service level for customers and the product hierarchy.

[0052] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0053] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart store system for clothing customization, including a reception system, an intelligent measurement system, a 3D style selection and intelligent recommendation system, an automatic order placement system, and a back-end management system set up in the store, characterized in that: The reception system includes a reservation registration module, an identity recognition module, and a positioning module. The reservation registration module accesses the database of the smart store system, calls the authentication information of the reserved visitors for registration. The identity recognition module identifies the user arrival information, accurately identifying staff, ordinary users, and member users. The positioning module integrates GPS positioning function to locate the smart store and obtain location information; The intelligent measurement system includes a measurement module, and the measurement content includes height, weight, chest circumference, waist circumference, hip circumference, shoulder width, clothing length, and sleeve length, measuring the data required for making ready-to-wear clothes; The 3D style selection and intelligent recommendation system includes a clothing style module, a collar module, a cuff module, a pocket module, a sleeve type module, and a 3D display module; The automatic order placement system includes an order acquisition module, an order evaluation module, an order generation module, and an order evaluation module; The back-end management system includes a permission management module, a security authentication module, a marketing and promotion module, and a logistics management module.

2. The intelligent store system for clothing customization according to claim 1, wherein: The data of the intelligent measurement system is uploaded to the cloud server to store user information and automatically identify by matching the ready-to-wear data.

3. The intelligent store system for clothing customization according to claim 1, wherein: The 3D style selection and intelligent recommendation system realizes intelligent matching through the clothing style module, the collar module, the cuff module, the pocket module, the sleeve type module, and the 3D display module according to the data of height, weight, age, and dressing occasion.

4. A smart store system for customized clothing according to claim 3 further includes an intelligent matching method for clothing selection, characterized in that: The intelligent matching method includes the following steps: S1: Obtain the basic characteristic parameters of the user measured by the intelligent measurement system, determine the corresponding human joint points, and perform three-dimensional construction through the user's human data to obtain a human model; S2: The camera in the smart store scans the human face features, the system extracts the user's face feature data, and combines the user's face feature data with the human model to obtain the user's initial human simulation model; S3: The system presets a human motion model. After importing the initial human simulation model, it outputs a user's human simulation model with various motion postures, and the dressing appearance of each motion posture can be previewed; S4: The clothing style module imports various styles of clothing that fit the size, and dresses the clothing on the human simulation model. The 3D display module comprehensively displays the visual effect of trying on clothes at 360°, recommends the products for the user to choose.

5. The intelligent store system for clothing customization according to claim 1, wherein: The clothing style module generates clothing styles for the user to view through categories, collar types, pockets, cuffs, sleeve types, and 3D display.

6. The intelligent store system for clothing customization according to claim 1, wherein: The order acquisition module is used to obtain the user's order placement requirements. The order evaluation module automatically generates an order or transfers it to manual service according to the user's requirements. The order generation module includes the final generation and cancellation functions of the order. The order evaluation module is used to send out evaluation service information and obtain the user's service score.

7. A smart store system for clothing customization according to claim 1, characterized in that: The permission management module is used to set the roles and permissions of store management personnel and is responsible for various functions within the smart store. The security authentication module is used to identify user login information and prevent non-management personnel from modifying store information. The marketing and promotion module is used to set store marketing activity information and new product category push information. The logistics management module is used to obtain user address information and ship goods according to the clothing styles selected by the user.

8. The intelligent store system for clothing customization according to claim 1, wherein: Through 3D rendering technology, the smart store system for clothing customization can comprehensively display and analyze products and fabrics, obtain detailed information and features of products, and use intelligent algorithms and data analysis to provide users with more accurate style recommendations based on personalized factors such as age, skin color, and preferences.

9. The intelligent store system for clothing customization according to claim 1, wherein: The smart store system for clothing customization also includes a body photo measurement and sizing system, which includes an image acquisition module, an image processing module, a size calculation module, and a display module.

10. The intelligent store system for clothing customization according to claim 9, characterized in that: The image acquisition module is used to obtain photo images. The image processing module analyzes and processes the photo images to identify measurement standards and feature points in the human body image. The size calculation module calculates the human body size using specific algorithms based on the image processing results. The display module displays the calculated size information to the user.

Images