WO2024080939A2

WO2024080939A2 - This algorithm system explains a dress that is sold online or in-store, whether this dress is fit a person's body based on body measurements captured from the 3d body scanner

Info

Publication number: WO2024080939A2
Application number: PCT/TR2022/051119
Authority: WO
Inventors: Semih DONMEZER
Original assignee: Donmezer Semih
Priority date: 2022-10-12
Filing date: 2022-10-12
Publication date: 2024-04-18

Description

This algorithm system explains a dress that is sold online or in-store, whether this dress is fit a person's body based on body measurements captured from the 3D Body scanner

Our invention will be broadly used in the textile industry, clothing industry and ergonomics as well as health research. It defines a system that serves the customer for learning, whether the selected dress is tight or loose, short or long for the body, before purchasing the product during online sales and in-store purchases. In addition, it is managed to order the dress that the customer likes to fit him/her perfectly, it will also give the opportunity to order a personalized dress, and there will also be an algorithm where different customers can meet desired options that may be desired by the type of dress (modern, classical or casual), fabric colour and dress model. The customer's detailed body measurements will be captured through a 3D body scanner and these data will be stored in a body measurements library, and these measurements will be automatically uploaded to the system when the customer wants to buy a dress.

On the other hand, there will be an algorithm system that will check whether the dress will be suitable for the customer by comparing the measurements used by the dress manufacturers while designing the product (mock-up) with these body measurements.

THE CURRENT SITUATION

In current systems, consumers buy her/ his favourite dress after being dressed in the trial rooms, if it fits their body or over the internet according to their own sizing code by the traditional method. The codes which are used in dress sizes, are generally based on anthropometric measurements (such as size Germany, sizeUK) carried out between 12-15 thousand people, which are created according to the measurements of each country and these measurements are obtained by averaging according to statistical methods (codes such as XXL, XL, L and S). The design of a dress is made over the avatar setting on these acquired measurements. As a result, each country creates its own pattern dimensions according to this sizing code data, and these patterns are produced by the manufacturers with reference to their measurements.

There are no worldwide sizes in women’s clothes, and this applies to men as well. This difference in size and the cross-brand inconsistency leads to different size tables that confuse customers when shopping online. Customers are still disappointed with their deliveries of dresses, and it can have caused them to buy fewer clothes online. Contentiously increased returns and decreased customer loyalty will have negative effects on profit margins. With an increasing share of online sales and the resulting return rates, it seems that retailers have to offer higher quality shopping opportunities for selling products. Fashion stores need a seamless solution that focuses on customization and smart data that is necessary to create a connection between fashion brands and consumers. A solution to this problem should be attempted to establish a worldwide standard due to the great variety of body shapes and sizes according to brands. Nevertheless, the problem of the deficiency of trust connected with shopping for clothes now needs to be resolved. A brand's reputation certainly depends on its reliability, and the lower the number of returns, the lower the shipping costs bring about the less carbon footprint for processing. The continuously increasing share of online sales and the resulting returns make it understandable that fashion sellers should offer a more reliable shopping experience.

Confusion about clothing sizes; Body sizes are a major challenge for the global fashion industry. Unsuitable orders for the fashion industry are often caused dissatisfaction among customers and return according to the Financial Times (“Clear Returns”, 2016). The fashion industry is in the first rank among consumer goods for online returns. A common trend has emerged: Today, approximately millions of customers have purchased various products of different sizes and they have returned inconvenient ones. In the Barclaycard study, it is commented on the "serial returns" phenomenon and according to returns management has reportedly affected a negative influence on the ready-to-wear business, with one in five retailers reporting that they have to increase their prices to cover the cost of returns. According to the same report, customers feel more confident while buying more than one size and returning unsuitable ones. Besides, the report also refers that buyers are expecting to be consistency within the ready-wear size standardization along with the different producers and retailer’s need to offer smart technology to better visualize online clothing purchases. BBC News reported that consumers reached the return rate of their online clothing purchases at 63%, which in return rates clearly indicates that there is a lack of a global standard for the fashion industry. Online dress sales have still not reached the desired rate, and dress shopping between countries is still problematic due to the size difference. In this case, sales measures may take shape due to loss of market share, new legal situations or demographic change.

BRIEF DESCRIPTION OF THE INVENTION

Our invention will be used in the fashion store and clothing industry. This system has three pillars, the first pillar is that all customers' bodies are scanned by three-dimensional scanners in order to measure body size, afterwards, an ID number is given to each customer and then to create a digital avatar (digital twin), hence, the customer's own body size is loaded in the application on the computer and smartphone in order to compare between the body size of the customers and CAD the design dimensions of the selected dress in each purchasing activity is made through this ID. The second pillar is to put use the digital body size library to save the advantages of each customer, to use these measurements later in anthropometric and demographic evaluations and to create the Body Mass Index (BPI). At the same time, these data are used in the field of public health, nutrition, asymmetric disorders and ergonomics. In the third pillar of this system, the measurement data of the dresses offered for sale are used. All body sizes and sizes of dress design will be compared through a unique algorithm and information will be given to the customers about whether the dress is suitable for body measurements.

The purpose of this algorithm is focused on reducing the return rates ranging from 30-50% in online sales, and in online or instore shopping the customer has the opportunity to learn before buying whether the dress he chooses fits his body, or where it is short or long, narrow or wide, and as a result, the customer has the opportunity to learn. If the dress he chooses does not fit his/her body, it will be possible to order the dress that will fit him perfectly online, and he will be able to use the colour, collar shape, jacket slit or button options on the dress he ordered. Moreover, customers will be able to find suitable clothes across borders.

The purpose of the inventive configuration and algorithm is to collect the body measurements of the customers with a 3D body scanner to be placed in fashion stores, then, give each customer an ID number, and compare by acquired body measurements with the design measurements (CAD) of a dress and the previously determined body measurements according to the given ID numbers. is to make a comparison. With the use of the algorithm and configuration that is the subject of the invention, the consumer may have access to the knowledge of how to stand on the product before purchasing the product, and make dress modifications or bespoke dress in compliance with the customer's request. With the use of the algorithm and configuration that is the subject of the invention, the consumer may have known how to stand on the product before purchasing the product, as well, they will be able to order their own special dress with modifications and special configurations and options and changes. In the current system, the products selected and purchased over the internet do not fully match the customer's body, and the return processes are experienced as a result of this situation. Returned products cost a lot of labour for the seller company. Manufacturers and sellers persuade their customers and undertake the cost of the cargo and, the exchange process in order to eliminate this main problem on the customer's side and to encourage sales. Although this situation creates a serious incentive for the customer, it creates additional costs for the seller and the manufacturer. Considering the current statistics, it is observed in the statistics that the rate of product return and exchange is up to 50%, especially in clothes shopping made over the internet. In addition, it has been determined that the products returned and exchanged, and sent back to the manufacturer have become unsold at a rate of 5%, according to statistics. This situation is again calculated as a risk factor by the manufacturers and these costs are reflected in the cost of the products sold. Therefore, it has been observed that especially female customers order three different sizes of the same product in online sales, buy one of them and send them back because they are free. Especially in the United States, customers agree to pay extra costs for a dress that fits their body.

OBJECTIVE AND BENEFITS OF THE INVENTION

The purpose of the inventive configuration and algorithm is to collect the body measurements of the customers with a 3D body scanner to be placed in fashion stores, to give each customer an ID number, and to compare these body measurements with the design measurements (CAD) of a dress and the previously determined body measurements according to the given ID numbers. to reduce the return rates ranging from 30-50% in online sales, and to have the opportunity to learn before purchasing whether the dress that the customer chooses fits his body, or where it is short or long, narrow or wide, and as a result, the customer chooses. In case the dress does not fit the body, it is possible to order the dress that will fit her perfectly online, and enable her to make changes such as colour, collar shape, jacket slit or button, etc. on the dress she ordered.

With the use of the algorithm and configuration that is the subject of the invention, before purchasing the product, the consumer will know whether the dress fits the body exactly, and will even be able to make the product suitable for himself with the manufacturers that support product modification and custom configuration and purchase it with the option and changes he wants.

In the current system, the products selected and purchased over the internet do not fully match the customer's body and the return processes are experienced as a result of this situation. Free shipping also strains companies financially. Considering the current statistics, the rate of product return and exchange is up to 50%, especially in clothes shopping made over the internet. In addition, it has been determined that the products returned and exchanged and sent back to the manufacturer have become unsold at a rate of 5% according to the statistics. This situation is again calculated as a risk factor by the manufacturers and these costs are reflected in the cost of the products sold. Therefore, it has been investigated that especially female customers order three different sizes of the same product in online sales, but only buy one of them and send two dresses back because the cargo fee always is free. Besides, especially in the United States, customers are welcome to agree to pay extra costs for a bespoke dress that fits their body.

Contents of the subject of the invention

Customer; Every person who wants to buy fit clothes online should have a digital body avatar -a digital twin. Considering the changes in the body, everyone who wishes should renew their body size every 6 months, and it is possible to see historical data so that they can observe the change in their own body size. In addition, the customer will be able to see all the dresses he has purchased before. The other purpose here is to collect valuable statistical information about the customer which will be available and integrated for the statistical data and another subject.

ID reference number; Each customer must have an identification number. The system service will be the body sizing interaction between the buyer of a product and the company that sells the clothing.

The cloud storage will enable the client's body size data to be transmitted over the required dress sales data to provide a matching service.

Q-Code; The customer will be able to use this code both in online sales and in the store. Thus, there will no longer be a dressing room. With the ID number code, she will be able to easily find which dress will suit her/him.

3D body scanner; It is described as equipment that scans the consumer's body and transforms it into body measurement data as a result of this scanning process.

CAD data for dressing design; are described as apparel-related size data provided by manufacturers’ capabilities and suitable for commercial use.

3D body scanner; body measurement data captured; The body size library is defined as the environment where the data converted to body size data is stored by scanning the consumer's body with a 3d body scanner and as a result of this scanning process. It will be a programming library with real-time computer vision capabilities and suitable for commercial use.

The body size library will be the computer vision and machine learning software library. The library can be widely used in companies, for ergonomic purposes, for average clothing and body measurements, and for common use areas for public health, rehabilitation engineering, and body asymmetries.

This digital human body measurements library data will be acquired by a 3D body scanner. Physical storage provides multiple servers and multiple locations and is then typically used and managed by a body sizing library system. These cloud storage system providers are responsible for keeping data available and accessible and for securing, protecting, and operating the physical environment. Clothing manufacturers or fashion companies can rent pattern customer body sizes to use from providers and use it in a convenient dress finder app.

Cloud storage services include a cloud computing service, a web service application programming interface (API), or API, such as cloud desktop storage, cloud storage gateway, or Web-based content management systems, co-embedded by a digital body size library member of fashion companies or clothing manufacturers. It will be accessed through applications that use the

Clothing model database; It is a database that contains measurement data about clothing provided by manufacturers and clothing models created based on them.

Matching algorithm; the body measurement data and/or body model captured by the 3D body scanner, which is drawn from the Body Size Library running on at least 1 processor, and the clothing measurement data taken from the clothing model database and the clothing models created based on these, as a result of this matching. It is the algorithm that prepares the report of which parts of the clothing match the matching parts of the body and enables the report to be presented visually on the multimedia device.

The method that is the subject of the invention;

Taking the customer's body measurements with a three-dimensional body scanner,

Transferring the taken body measurements to the Body size library,

Producing ID reference number, Q-Code, and 2-dimensional or 3-length model for the customer with the body measurements taken,

Taking clothing measurements by manufacturers or sellers,

Transferring the taken clothing measurements to the Clothing model database,

Production of a reference number, 2-dimensional or 3-dimensional model for the clothing with the clothing measurements taken,

Calling the information from the Clothing model database and the Body size library in order to compare the customer's body information with the product to be purchased in line with the customer's request,

Matching body size data and clothing size data with a matching algorithm running on at least 1 processor or more, and the information of which parts of the clothing match with which parts of the body or do not match, which part is outside the reference size by how much, in a report table and/or 2-dimensional or 3-dimensional displaying it to the customer on the multimedia device on the clothing model on the body model.

If the customer makes a purchase decision as a result of the conformity assessment or does not place an order,

Delivery of the order to the customer

CONSISTS OF STEPS

In a different embodiment of the method that is the subject of the invention;

Acquiring the customer's body measurements with a three-dimensional body scanner,

Transferring the captured body measurements to the Body size library,

Taking clothing measurements by manufacturers or sellers,

Transferring the taken clothing measurements to the Clothing model database,

Getting the information that modifications, additions, and option changes can be made according to the customer's request on the products that have been transferred to the Clothing model database in a 2D or 3D model produced, with the clothing measurements taken by the manufacturers according to the customer's request and a reference number,

Calling back the information from the Clothing model database and the Body size library in order to compare the customer's body information with the product to be purchased in line with the customer's request,

Matching body size data and clothing size data with a matching algorithm running on at least 1 processor, and the information of which parts of the clothing match with which parts of the body or do not match, which part is outside the reference size by how much, in a report table and/or 2-dimensional or 3-dimensional displaying it to the customer on the multimedia device on the clothing model on the body model.

The delivery of the order to the customer consists of the steps, important steps of the method that is the subject of the invention;

Taking the customer's body measurements with a three-dimensional body scanner,

Transferring the taken body measurements to the Body size library,

Taking clothing measurements by manufacturers or sellers,

Transferring the taken clothing measurements to the Clothing model database,

Production of a reference number, 2-dimensional or 3-dimensional model for the clothing with the clothing measurements taken.

If the customer makes a purchase decision as a result of the conformity assessment, does not place an order, or places an order by requesting modification, add-on, and options change on the product at the points where the manufacturer accepts, and the order is defined as a special order,

Optional manufacturer feedback and manufacturer final Acceptance,

The delivery of the order to the customer after reproduction consists of processing steps.

It is the configuration for the algorithm that is the subject of the invention, and its feature is; the customer in the request to buy at least 1 piece of clothing, the three-dimensional body scanner, which is described as equipment that scans the customer's body and transforms it into body measurement data as a result of this scanning process, body measurement data captured by the three-dimensional body scanner, CAD data of design, which is described as clothing-related measurement data provided by manufacturers, Body size library, ID reference number generated for each customer, Q-code generated for each customer, clothing-related measurement data provided by manufacturers and clothing models created based on them.

The clothing model database consists of the reference number created for each product, the matching algorithm and the processor that can run the matching algorithm, and the multimedia device elements connected to the data network with the ability to display the results and reports to the consumer.

The Algorithm Features of The Invention

To make it equivalent to body size; From body size data body, the body size is requested as much as the product required to be purchased. For example, in a jacket, only the necessary dimensions

Critical dimensions should be determined by the designer. For example, for a jacket, the shoulder width must be matched to the data by the body scanner, and if necessary, if the jacket's shoulder width decreases by -1.5 cm from the design data, it will be fully compatible with the scanner data.

The clothing pattern data will be compared with the matching ID data in the whole-body data table. Only relevant data will enter the calculations. For example, there would be no need to use lower body data in jacket design data.

Body measurements Printout and Comparison Chart on CAD Clothing Model Printout.

Matching System

∀x and ∈ A, B : xRy ⇒ yRx

Body size output - "A" subgroup of A is "x", each subgroup "X" ≥ 0"

CAD modelling output "B" - subgroup of B is "y". each subgroup "Y" ≥ 0"

Both subgroups must be integers or decimals" body data,

The number of count dimensions should consist of at least the landmark that can form the body size, and the clothing model sizes should cover the same characteristics.

• Means "less than or equal to". That is, whatever X and Y are, X ≤ Y is equivalent to X < Y.

• Means "greater than or equal to". That is, whatever X and Y are, X ≥ Y is equivalent to X > Y.

• Means "Equals". That is, whatever X and Y are, X = Y is equivalent to X = Y.

• Body data and CAD clothing model output data between the two groups

Results

As a result of the use of this system, a very large body size 'avatar' library will be created by providing a significant increase in the number of body size data of customers.

Bespoke and return rates are a killer combination for dress vendors. Thanks to this system, return rates will decrease to a large extent, this will reduce clothing costs, shipping costs will decrease at the same rate, and the carbon footprints of the products will be lower.

"Virtual Human" is the future for many areas such as clothing, public health, asymmetric disorders, and ergonomics

First, a 3D body scanner will be installed in all fashion stores instead of changing rooms

Trial rooms, which are sometimes a nightmare for customers, will be removed and a body scanner will be available.

A body size library will be developed, and it will be the only one in the world.

Calculation of current sizes and average proportions of female, male, and child bodies.

It will be possible to determine the current market shares of size and shape types for the examined target groups.

Researching issues to identify socio-economic data, customer preferences and compliance issues, and purchasing behaviour

Evaluation of body data according to international standards and special clothing requirements

Development of individual existing body measurement charts using 3D body shape information

Creation of virtual, three-dimensional individual bodies avatar-digital twin

Provide of all results on the SizeEurope portal for individual use for clothing and ergonomics

Evaluation of the recorded data on the basis of the new European standard EN 13402 and determination of body size data of the European population first in the new body system.

The body library will be created for the first time in the world, that is, it will be the only one in the world,

If each firm knows the size of its customer, it can easily sell fit clothes, and it will be possible to custom dress according to customers.

Likewise, the customer can find a suitable dress from different companies. Because which dresses are suitable for the body will be selected according to the preference list and presented to the customer.

It can be owned according to the body size in the world.

Depending on the support of partner companies, it is estimated that the number of people scanned or measured will be very high in the coming years.

Technical Problem

Solution to Problem

Advantageous Effects of Invention

Fig.1

sample system flow chart

Customer
Captured body size through 3D Body Scanner
Output of body size of customer with ID customer number
Data Storge Body size Library
Apparel Manufacturer
dress for sale online or instore
Output of the design dimensions (size) of the dress offered for sale
Matching algorithm
Does the dress fit the body?
Buy
Do you want a bespoke apparel
Glance through the other models

13a. Request tailor made suit from manufacturer

Slim fit
Modern fit
Classic fit

13b. Choose the fabric color

Black
Dark blue
etc.

13c. What kind of fabric is for suits?

wool woven
Herringbone
twill, etc..

13d. Select types of Jacket’s collars

Peak
Std. Notch
etc..

13e. Select types of Jackets vent

no vent
Single vent
Double vent

13f. Select types of trouser cuff

no break
quarter
break, etc..

13g. The desired dress is produced by the manufacturer

1- The customer is the person who first wants to buy a dress on the internet or who wants to find a suitable dress for himself without going to the dressing room in a store.

2- Body measurements will be measured from at least 40 or more points by using 3D scanners in fashion stores or shopping malls so that the customer knows whether the dress they will buy fits or not.

3-After the body scan is done, an ID number will be given to the customer and the measurements will be downloaded to the computer or smartphone as an application. Thus, all searches will be made according to the body measurements in question.

4-The person's digital body shape and measurements will be stored in the body measurements library as an avatar. In this library, the bogeymen of all customers will be kept, and then the average textile sizes (such as XL, L, M, and S) will be found using statistical methods.

5- Manufacturers included in the system will be able to use the body measurements library

6- Each dress offered for sale will have a CAD standard printout in a QR code on the label, the customer will be able to find out whether the dress he wants to buy in the store fits him with the help of the QR code reader,

7-The size of each dress produced by the manufacturer will be the same as the body size ID number and there will be size data of the dress in addition to the image of the dress. This data will be used for measure comparison.

8-Each customer will have their own ID on their smartphone and will compare the CAD output data using the same size ID with the help of the body measurements, which are introduced with the ID number that will be used for the measurements in the system, which is loaded on their phone, whether the dress that the customer chooses fits them or not, and will compare the measurements to each other. It will notify the customer whether it is compatible or not.

9- If the dress is fit as a result of the comparison, the dress will be purchased, if not, the custom-made dress or other models will be considered.

10- If the dress is suitable for body measurements, the dress will be purchased.

11- If the dress is not suitable, there will be two options, either asking the manufacturer for a dress that fits their size or looking at other models.

13- If the customer wants a “Tailor Made” dress suitable for him, he will be able to order a personal dress from the company by marking the options such as the type of dress, collar shape, fabric colour and type, slit or straight, trouser leg shape.

Examples

PTL1:

NPL1:

Claims

The method by which the caller and the texter are known by the person who is called and texted on the mobile phone whose feature is that;
- The information, images and telephone numbers of the verified institution or person who wants to reach the multimedia device through MMS (multimedia messages) and SMS (short messages) or telephone calls are managed by the GSM operator (notifying body),
- The confirmed information, images and phone numbers of the verified institution or person are entered into the verification and query server by the GSM operator (notifying body),
- Sending MMS (multimedia messages) and SMS (short messages) or calls to multimedia devices through telephone and data networks by registered organization or person to multimedia devices,
- When the verified organization or person sends MMS (multimedia messages) and SMS (short messages) or calls to the multimedia devices through the phone and data network, the verification and query server immediately recognizes to which verified institution or person any of these processes belong,
- When the verification and query server recognizes to which verified instituiton or person any of these transactions belong, it accesses the stored information and images of the verified institution or person and sends the preferred image as data to the desired multimedia device by means of the telephone and data network,
- Displaying visuals or information in the data package on the screen of the multimedia device are received simultaneously with calls, mms (multimedia messages) and sms (short messages).
It is the invention in claim 1 that enables the mobile telephone users who receive a call and message to see the caller and texter, and that consists of at least 1 multimedia device, at least 1 verified organisation or person, at least 1 telephone and data network, at least 1 verification and query server, and a GSM operator (notifying body).
It is the invention to execute the method in claim 2 that enables the mobile telephone users who receive a call and message to see the caller and texter, and its feature is that the verfied institution or person of the invention are those who want to reach multimedia devices through MMS and SMS or calls and whose official information, such as identification and/or tax and/or registration numbers are registered in the verification server and who have the permission to the send MMS (multimedia messages) and SMS (short messages) or calls.
It is the invention to execute the method in claim 2 that enables the mobile telephone users who receive a call and message to see the caller and texter, and its feature is that the multimedia device of the invention has at least 1 display screen and an operating system which can receive calls, MMS (multimedia messages) and SMS (short message), can operate the directory and short message applications, and can display the data on the screen.
It is the invention to execute the method in claim 2 that enables the mobile telephone users who receive a call and message to see the caller and texter, and its feature is that the telephone and data network of the invention provides the verified institution or person to sent MMS (multimedia messages) and SMS (short messages) or calls to multimedia devices and enables devices to accept MMS (multimedia messages) and SMS (short messages) or calls, and send data to the phone simultaneously.
It is the invention to execute the method in claim 2 that enables the mobile telephone users who receive a call and message to see the caller and texter, and its feature is that the verification and query server of the invention is the server in which the information and images of the verified institution or person are loaded and stored, all phone numbers to which the verified institution sends messages and calls are stored, and which can send the information and/or images of the verified institution or person from the stored section to the multimedia devices the moment the verified institution or person makes a call or sends a SMS.
It is the invention to execute the method in claim 2 that enables the mobile telephone users who receive a call and message to see the caller and texter, and its feature is that the GSM operator (notifying body) of the invention enters the information, images and phone numbers of the verified institution or person as data into the verification and query server by checking this information.