KR102617755B1 - Apparatus, method and program to provide last numerical information suitable for user - Google Patents

Abstract

According to an embodiment of the present invention, a system for providing last numerical information to a user is disclosed. The system includes a scanning device that provides foot dimension information including a plurality of first dimensions for a user's foot to a service providing device; and a service providing device that determines last numerical information for the user using the foot size information.

Description

Apparatus, method and program for providing last NUMERICAL INFORMATION SUITABLE FOR USER}

The present invention relates to an apparatus, method, and program that provides suitable last numerical information to a user.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

Shoes of the same type are mainly handmade, and are produced through a process of covering the upper, which determines the foot shape of the shoe, with the upper and attaching the midsole and bottom. Therefore, the shape of the shoe may be determined depending on the shape of the last.

In order to be mass-produced, identical shoes are produced using lasts of the same shape. However, the shape of the feet is different for each person, so when people whose foot shape does not match the last purchase shoes, they often feel uncomfortable wearing them.

On the other hand, the shape of a specific person's foot is measured and shoes are manufactured according to the measured foot shape. However, in this method, shoes are manufactured after a specific person orders the shoes, which makes it difficult to sell them in large quantities. Additionally, from the perspective of a specific person ordering shoes, there was a problem that the shape of the finished shoes may be different from what the specific person expected because they were not ordering after seeing pre-finished shoes.

One object of the present invention is to provide an apparatus, method, and program for determining the last to be used in manufacturing a user's shoes based on the user's foot size.

Another object of the present invention is to provide an apparatus, method, and program for determining shoes to be recommended to a user based on the user's foot size.

In addition, the present invention is a device that matches shoes with the last to be used in making shoes based on the size of the shoe and the size of the last, and determines shoes made with a last suitable for the user's foot size as shoes to be recommended to the user. Another purpose is to provide methods and programs.

One aspect of the present invention for achieving the above object provides a system for providing last numerical information to a user.

The system includes a scanning device that provides foot dimension information including a plurality of first dimensions for a user's foot to a service providing device; and a service providing device that determines last numerical information for the user using the foot size information.

Additionally, the service providing device includes at least one processor; and a memory storing instructions that instruct the at least one processor to perform at least one operation.

Additionally, the at least one operation may include receiving the foot size information from the scanning device; calculating a plurality of first main ratios and a plurality of first sub-ratios based on the ratio between the first dimensions; Search for last dimension information pre-matched with each of a plurality of lasts in the database, and based on the ratio between the plurality of second dimensions included in the last dimension information, a plurality of second main ratios and a plurality of second sub An operation to calculate ratios; Calculating a plurality of first main difference values, which are difference values between each of the first main ratios and each of the second main ratios, and each of the first sub-ratios and each of the second sub-ratios An operation of calculating a plurality of first sub-difference values, which are difference values between; Using the sum of a first value obtained by adding all of the first main difference values multiplied by a first weight and a second value obtained by adding all of the first sub-difference values multiplied by a second weight greater than the first weight, An operation of determining a first ratio fitness corresponding to each of the lasts; An operation of determining the last with the highest first ratio suitability among the lasts as the user last; Search for product size information previously matched to each of a plurality of products in the database, and create a plurality of third main ratios and a plurality of third sub ratios based on the ratio between the plurality of third dimensions included in the product size information. An operation to calculate ratios; Calculating a plurality of second main difference values, which are difference values between each of the second main ratios and each of the third main ratios, and each of the second sub-ratios and each of the third sub-ratios An operation of calculating a plurality of second sub-difference values, which are difference values between the two sub-difference values; Each of the lasts using the sum of a third value obtained by adding up all of the second main difference values multiplied by the first weight and a fourth value obtained by adding all of the second sub-difference values multiplied by the second weight. An operation of determining a second rate of fitness corresponding to; An operation of calculating an increase volume and a decrease volume corresponding to each of the lasts using the product dimension information and the last dimension information; An operation of determining a matching degree corresponding to each of the lasts using the second proportional fitness, the increased volume, and the decreased volume; An operation of matching the last with the highest matching degree among the lasts with the product and storing it in the database; Selecting the product previously matched with the user's last from the database and determining the selected product as a recommended product; Calculating a plurality of third main difference values, which are difference values between each of the first main ratios and each of the third main ratios, and each of the first sub-ratios and each of the third sub-ratios An operation of calculating a plurality of third sub-difference values, which are difference values between; A third ratio goodness of fit is obtained by using the sum of the fifth value obtained by adding all the third main difference values multiplied by the first weight and the sixth value obtained by adding all the third sub-difference values multiplied by the second weight. The act of deciding; Obtaining expected satisfaction using the third main difference values and the third sub-difference values; An operation of determining a recommendation level corresponding to each of the products using the third proportional fitness and the expected satisfaction; And an operation of determining the products whose recommendation level is higher than a preset standard as recommended products, wherein the sum of the first value and the second value and the first proportional suitability are inversely proportional, and the third value and the The sum of the fourth value and the second ratio suitability are inversely proportional, the sum of the fifth value and the sixth value and the third ratio suitability are inversely proportional, the second ratio suitability and the matching degree are proportional, and The degree of matching is inversely proportional to the sum of a seventh value obtained by multiplying the increased volume by the first weight and an eighth value obtained by multiplying the decreased volume by the second weight, and at least one of the third proportional suitability and the expected satisfaction and the Recommendations are proportional.

According to one embodiment of the present invention, a last suitable for the shape of the user's foot is determined, and a shoe suitable for the shape of the user's foot can be manufactured using the determined last.

According to another embodiment of the present invention, the basic shape of the shoe is suitable for the shape of the user's foot, so shoes that have little change in appearance and have high expected satisfaction of the user when manufactured to the user's foot shape can be recommended to the user.

According to another embodiment of the present invention, shoes that can be manufactured with a last suitable for the shape of the user's feet may be recommended to the user.

1 is a schematic diagram of a system that provides numerical information about lasts or shoes to a user according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating functional modules of the scanning device and analysis server according to FIG. 1.
FIG. 3 is an exemplary coordinate showing a point cloud included in scan information of the scanning device according to FIG. 1.
FIG. 4 is coordinates exemplarily showing a corrected state of the point cloud of FIG. 3.
FIG. 5 is a diagram illustrating foot size information generated by the size information generation unit according to FIG. 2.
FIG. 6 is a flowchart showing a process in which the recommended product determination unit according to FIG. 2 determines a recommended product based on the user's foot size information.
FIG. 7 is a flowchart showing a process in which the last matching unit according to FIG. 2 determines the most suitable last for creating a product based on product dimension information and last dimension information of the product.
FIG. 8 is a flowchart showing a process in which the last matching unit and the recommended product determining unit according to FIG. 2 determine a recommended product based on the user's foot size information.
FIG. 9 is a diagram illustrating the hardware configuration of the analysis server according to FIG. 1.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component, and similarly, the second component may also be named a first component without departing from the scope of the present invention. The term and/or includes any of a plurality of related stated items or a combination of a plurality of related stated items.

For example, “first main ratio, second main ratio, third main ratio”, “first sub-ratio, second sub-ratio, third sub-ratio”, “first main difference value, third main ratio” used below. 2 Main difference value, 3rd main difference value”, “1st sub-difference value, 2nd sub-difference value, 3rd sub-difference value”, “1st proportional goodness-of-fit, 2nd proportional goodness-of-fit, 3rd proportional goodness-of-fit” The terms 1st, 2nd and 3rd are used only to distinguish one from the other.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

1 is a schematic diagram of a system that provides numerical information about lasts or shoes to a user according to an embodiment of the present invention.

Referring to FIG. 1, a system that provides numerical information about lasts or shoes to a user includes an analysis server 100 (or analysis device), a scanning device 200, and a workshop terminal 300.

The scanning device 200 includes a pair of foot supports that protrude upward from the rotating plate to support both feet of the user. A pair of foot supports are arranged spaced apart from each other.

Additionally, the scanning device 200 includes a base portion and a rotating plate disposed above the base portion and coupled to the base portion so as to be able to rotate 360° with respect to the base portion. A pair of foot supports protrude from the upper side of the rotating plate.

Additionally, the prosthesis may be detachably coupled to the upper side of the pair of foot supports. When a user scans the foot to purchase high-heeled shoes, an implant corresponding to the height of the heel may be coupled to the upper side of the pair of foot supports.

Additionally, the scanning device 200 includes a scanning portion that is connected to the outer peripheral surface of the base portion and extends upward from the outer peripheral surface of the base portion. The scanning unit is configured to scan a pair of feet of a user standing while stepping on a pair of foot supports. As the rotating unit rotates, the scanning unit can scan the user's pair of feet in all directions. At least one of a laser projector and a camera for scanning the user's feet may be provided on one side of the scanning unit facing the rotating plate. Additionally, the scanning unit may include an output interface device that provides the user with the user's foot size information and the user's 3D foot shape generated based on scan information detected by the scanning device 200. The scan information may include point cloud coordinates, which are a plurality of coordinates constituting a shape corresponding to the shape of the user's foot.

In one embodiment, a plurality of marks for setting three-dimensional reference coordinates of scan information may be provided on the upper side of the rotating plate.

In one embodiment, the scanning device 200 corrects the point cloud coordinates included in the scan information based on 3D reference coordinates to generate information about the degree of distortion, and calculates the user's point cloud coordinates based on the degree of distortion. It can be corrected.

In one embodiment, the scanning device 200 converts the scan information into a 3D format through a registration process for the scan information to obtain point cloud coordinates and 3D reference coordinates from the scan information, and performs a scan in 3D format. Information can be cropped into a preset format.

The workshop terminal 300 is a terminal of a technician who receives a shoe manufacturing order from the analysis server 100 or the scanning device 200 and makes shoes, and receives the technician's technician information from the analysis server 100 or the scanning device 200. You can register at .

In one embodiment, the workshop terminal 300 may receive the user's foot size information and the last size information of the last that matches the user's foot size information from the analysis server 100 or the scanning device 200. Additionally, the workshop terminal 300 may receive information about the product selected by the user from the analysis server 100 or the scanning device 200. Information about a product may include an image of the product and materials used in the product.

In one embodiment, the workshop terminal 300 receives the user's foot size information from the analysis server 100 or the scanning device 200, the last size information of the last matching the user's foot size information, and the product of the product selected by the user. Dimension information can be received. Additionally, the workshop terminal 300 may receive an image of the product selected by the user and information about the materials used in the product from the analysis server 100 or the scanning device 200.

Examples of the workshop terminal 300 include a communication capable desktop computer, a laptop computer, a laptop, a smart phone, a tablet PC, and a mobile phone. ), smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) It may be a player, a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, a PDA (Personal Digital Assistant), etc.

Specifically, the analysis server 100 may receive at least one of the user's foot size information, the last size information, and the product size information from the scanning device 200. Additionally, the analysis server 100 may receive at least one of the user's foot size information, the last size information, and the product size information through an input interface device provided in the analysis server 100.

Additionally, the analysis server 100 may compare the user's foot size information with the product size information of each of the plurality of products and determine a product to recommend to the user based on the comparison result.

Additionally, the analysis server 100 may compare product dimension information of the product with last dimension information of each of the plurality of lasts, and determine the last to be used in manufacturing the product based on the comparison result.

Additionally, the analysis server 100 may compare the user's foot size information with the last size information of each of the plurality of lasts, and determine the last to be used in making the user's shoes based on the comparison result. Additionally, the analysis server 100 may determine products that match the determined last as products to be recommended to the user.

FIG. 2 is a block diagram illustrating functional modules of the scanning device 200 and the analysis server 100 according to FIG. 1 .

Referring to FIG. 2, the scanning device 200 includes a dimension information generating unit 201.

The dimension information generation unit 201 corrects the point cloud coordinates.

FIG. 3 is an exemplary coordinate showing a point cloud included in scan information of the scanning device 200 according to FIG. 1 . FIG. 4 is coordinates exemplarily showing a corrected state of the point cloud of FIG. 3.

The dimension information generator 201 converts the point cloud coordinates (P1) before correction into the corrected cloud coordinates (P).

Referring to FIG. 3, a first plane including a0, b0, c0, and d0 coordinates is set, and an axis perpendicular to the first plane is set as the z-axis. Also, establish a second plane containing points a, b, c, and d. The coordinate where P1P3, which is an imaginary line heading from P1 to the first plane along the z-axis, and the second plane meet is set to P2. In addition, in P2, set Py, which is the coordinate that reaches the line ab or line cd in the shortest distance, and Px, which is the coordinate that reaches the line ad or line bc in the shortest distance.

Coordinate correction can be performed by Equations 1, 2, and 3 below.

The dimensional information generator 201 converts the point cloud coordinates (P1) before correction into point cloud coordinates (P) after correction based on the x, y, and z values calculated by Equations 1, 2, and 3. You can.

Through this, the dimension information generator 201 can correct each of the coordinates included in the point cloud.

In addition, the dimensional information generator 201 can generate a 3D image of the user's foot based on the corrected point cloud, and output the generated 3D image to the output interface device included in the scanning device 200. It can be provided to users through

Additionally, the size information generator 201 may generate the user's foot size information based on the corrected point cloud.

FIG. 5 is a diagram illustrating foot size information generated by the size information generating unit 201 according to FIG. 2 .

The dimension information generator 201 may calculate a plurality of preset numerical values using coordinates included in the corrected point cloud.

Referring to FIG. 5, the dimensional information generator 201 includes foot length, foot width, ball of foot distance, ball of foot height, ball of foot circumference, instep height, instep circumference, thumb height, heel height, heel width, inner malleolus height, and outer Height of ankle, ankle height, horizontal ankle circumference, front and back thickness of ankle, left and right ankle thickness, distance between heel and inner ball of foot, distance between heel and outer ball of foot, distance between heel and ankle, circumference between heel and ankle, circumference between heel and instep, You can create dimensions such as big toe angle and arch height.

In one embodiment, the dimension information generator 201 determines two coordinates that can determine the length of the foot in the corrected point cloud, and then determines the distance between the two determined coordinates as the length of the foot.

In one embodiment, the dimension information generator 201 may determine the distance between the coordinates corresponding to the outer ball of the foot and the coordinates corresponding to the inner ball of the foot in the corrected point cloud as the ball of the foot distance.

In one embodiment, the dimensional information generator 201 sets a virtual plane including coordinates corresponding to the heel and coordinates corresponding to the instep in the corrected point cloud, and sets a virtual plane among the coordinates of the corrected point cloud. The circumference between the heel and the instep can be determined using the coordinates included in the plane of .

In one embodiment, the dimension information generator 201 sets a virtual plane including coordinates corresponding to the heel and coordinates corresponding to the ankle in the corrected point cloud, and sets a virtual plane among the coordinates of the corrected point cloud. The circumference between the heel and ankle can be determined using the coordinates included in the plane.

In one embodiment, the dimension information generator 201 may determine the distance between the coordinates corresponding to the heel and the coordinates corresponding to the outer ball of the foot in the corrected point cloud as the distance between the heel and the ball of the outer foot.

In this way, some of the coordinates included in the corrected point cloud are preset to calculate preset dimensions, and the order information generator 201 can calculate the preset dimensions based on the preset coordinates. .

Referring again to FIG. 2, the analysis server 100 includes a dimension information receiving unit 101.

The size information receiver 101 may receive at least one of the user's foot size information, the last size information of the foot, and the product size information of the product through the scanning device 200 or the input interface device.

Referring again to FIG. 2, the analysis server 100 includes a recommended product determination unit 102.

FIG. 6 is a flowchart showing a process in which the recommended product determination unit 102 according to FIG. 2 determines a recommended product based on the user's foot size information.

The recommended product determination unit 102 compares the user's foot size information with the product size information of each of the plurality of products, and determines a recommended product among the products to be recommended to the user based on the comparison result.

First, the recommended product determination unit 102 calculates a plurality of first main ratios and a plurality of first sub-ratios corresponding to each of the products based on product size information of each product (S110).

In the database of the analysis server 100, each of the plurality of products, product size information of each of the plurality of products, product image of each of the plurality of products, material information of each of the plurality of products, etc. may be matched and stored in advance. .

The recommended product determination unit 102 may search product size information for each of a plurality of products in the database and calculate a plurality of first main ratios and a plurality of first sub-ratios based on the retrieved product size information. .

The ratio of one dimension included in the product dimension information to another dimension may be set as the first main ratio.

A ratio of one dimension included in the product dimension information to another dimension, which is different from the plurality of preset first main ratios, may be set as the first sub-ratio.

Additionally, the recommended product determination unit 102 calculates a plurality of second main ratios and a plurality of second sub-ratios based on the foot size information (S120).

In one embodiment, the second main ratio is a ratio that has a relatively large influence on the overall aesthetics of the product, and the second main ratio may be preset. In one embodiment, the ratio of the ball of the foot to the foot length, the ratio of the distance between the heel and the inner ball of the foot to the foot length, the ratio of the width of the foot to the ball of the foot distance, the ratio of the distance between the heel and the lateral ball of the foot to the foot length, and the circumference between the heel and the instep. The ratio of the circumference between the heel and the ankle may be preset to a plurality of second main ratios. However, it is not limited to this, and ratios of various dimensions may be set as the second main ratio.

In one embodiment, the second sub-ratio is a ratio that has a relatively small effect on the overall aesthetics of the product, and the second sub-ratio may be preset. In one embodiment, the ratio of the height of the instep to the circumference of the instep, the ratio of the height of the thumb to the height of the ball of the foot, the ratio of the height of the lateral malleolus to the height of the medial malleolus, the ratio of the thickness of the left and right ankles to the thickness of the front and back of the ankle, etc. are a plurality of second sub-ratios. can be set. However, it is not limited to this, and ratios of various dimensions may be set as the second sub-ratio.

The first main ratio is set to correspond to the second main ratio. For example, the second main ratio corresponding to the ratio of the ball of the foot distance to the foot length is the point located on the leftmost side of the product compared to the distance between the point located at the frontmost part of the product and the point located at the rearmost part. It may be a ratio of the distance between the points located on the far right. That is, the second coordinates used to calculate the dimensions included in the foot size information are preset, and the first coordinates used to calculate the dimensions included in the product size information are points at positions corresponding to the second coordinates. It is already set. Through this, the dimensions included in the foot dimension information and the dimensions included in the product dimension information can correspond to each other. For example, the distance between the ball of the foot included in the foot size information and the distance between the leftmost point and the rightmost point of the product included in the product size information may correspond to each other.

Additionally, the recommended product determination unit 102 calculates a plurality of first main difference values, which are difference values between each first main ratio and each second main ratio (S130).

When the first main ratios and the second main ratios are calculated, the recommended product determination unit 102 calculates a first main difference value, which is a difference value between the first main ratio and the second main ratio. Each of the first main ratios and each of the second main ratios are matched 1:1, and the recommended product determination unit 102 determines the difference value between the first main ratio and the second main ratio that matches each other as the first main ratio. It is determined by the main difference value. Through this, the same number of first main difference values as the number of first main ratios and second main ratios can be calculated.

Additionally, the recommended product determination unit 102 calculates a plurality of first sub-difference values, which are difference values between each first sub-ratio and each second sub-ratio (S140).

When the first sub-ratios and the second sub-ratios are calculated, the recommended product determination unit 102 calculates a first sub-difference value that is a difference value between the first sub-ratio and the second sub-ratio. Each of the first sub-ratios and each of the second sub-ratios are matched 1:1, and the recommended product determination unit 102 sets the difference value between the matched first and second sub-ratios to the first sub-ratio. It is determined by the sub-difference value. Through this, the same number of first sub-difference values as the number of first sub-ratios and second sub-ratios can be calculated.

Additionally, the recommended product determination unit 102 calculates a first ratio suitability corresponding to each of the products based on the first main difference values and the first sub difference values (S150).

If the difference between the first main ratios and first sub-ratios of the product and the second main ratios and second sub-ratios of the user's foot is relatively large, it may be determined that the ratio consistency between the product and the user's foot is relatively low. there is. If the difference between the first main ratios and first sub-ratios of the product and the second main ratios and second sub-ratios of the user's foot is relatively small, it can be determined that the ratio agreement between the product and the user's foot is relatively large. there is.

The recommended product determination unit 102 increases the first ratio as the sum of the sum of all first main difference values multiplied by the first weight and the sum of all first sub-difference values multiplied by the second weight becomes smaller. A high degree of fitness can be calculated. The first weight is determined to be a smaller value than the second weight.

In addition, the recommended product determination unit 102 determines that the larger the sum of the sum of all the first main difference values multiplied by the first weight and the sum of all the first sub-difference values multiplied by the second weight increases, the greater the first The ratio goodness of fit can be calculated to be low. The first weight is determined to be a smaller value than the second weight.

Additionally, the recommended product determination unit 102 obtains the expected satisfaction level corresponding to each of the products based on the first main difference values and first sub difference values corresponding to each of the products (S160).

When a user selects a specific product and the selected product is manufactured according to the user's foot size, the appearance of the manufactured product may be different from the product initially selected by the user, which may reduce the user's satisfaction.

The recommended product determination unit 102 may predict the user's satisfaction level based on the first main difference values and first sub difference values.

The recommended product determination unit 102 may input the first main difference values and first sub-difference values as input values to the previously learned machine learning model and obtain the expected satisfaction from the machine learning model. In one embodiment, the machine learning model may be created through machine learning using learning data generated by labeling the user's satisfaction with the first main difference values and the first sub difference values. In one embodiment, random forest, Xgboost, multiple regression analysis, etc. can be used to learn a machine learning model. However, it is not limited to this.

Additionally, the recommended product determination unit 102 determines a recommendation level corresponding to each product based on the first ratio suitability and expected satisfaction (S170).

In one embodiment, the recommended product determination unit 102 may determine the recommendation level to be relatively large as the first ratio suitability is relatively large. The recommended product determination unit 102 may determine the recommendation degree to be relatively small as the first ratio suitability is relatively small.

In one embodiment, the recommended product determination unit 102 may determine the recommendation level to be relatively large as the expected satisfaction level is relatively high. The recommended product determination unit 102 may determine the recommendation level to be relatively small as the expected satisfaction is relatively small.

Additionally, the recommended product determination unit 102 determines a product whose recommendation level is higher than a preset standard recommendation level among the products as a recommended product (S180). In one embodiment, the standard recommendation level may be set to a value greater than the middle value of the numerical range of recommendation levels that can be calculated.

The recommended product determination unit 102 may search the database for product images, materials, and prices that are previously matched to the recommended product, and provide the searched product images, materials, and prices to the user through an output interface device.

Additionally, the recommended product determination unit 102 may transmit the searched product image, material, and price to the scanning device 200. The scanning device 200 may provide product images, materials, prices, etc. received through an output interface device included in the scanning device 200 to the user.

Referring again to FIG. 2, the analysis server 100 includes a last matching unit 103.

FIG. 7 is a flowchart showing a process in which the last matching unit 103 according to FIG. 2 determines the most suitable last for creating a product based on product dimension information and last dimension information of the product.

First, the size information receiving unit 101 receives product size information of the product (S210).

When the product size information of the product is received, the last matching unit 103 searches the database to see if there is last size information previously matched with the product size information (S220).

If the last dimension information previously matched with the product dimension information is not retrieved, the dimension information receiver 101 generates a plurality of first main ratios and a plurality of first sub-ratios corresponding to the product based on the dimension information of the product. Calculate (S230).

The ratio of one dimension included in the product dimension information to another dimension may be set as the first main ratio.

A ratio of one dimension included in the product dimension information to another dimension, which is different from the plurality of preset first main ratios, may be set as the first sub-ratio.

Additionally, the last matching unit 103 calculates a plurality of third main ratios and a plurality of third sub-ratios corresponding to each of the lasts based on last dimension information of each of the plurality of lasts (S240).

In the database of the analysis server 100, each last and last dimension information are matched and stored in advance.

The ratio of one dimension included in the last dimension information to another dimension may be set as the third main ratio.

A ratio of one dimension included in the last dimension information to another dimension, which is different from the plurality of preset third main ratios, may be set as the third sub-ratio.

The third main ratio is set to correspond to the second main ratio. For example, the second main ratio corresponding to the ratio of the ball of the foot distance to the foot length is the point located on the leftmost part of the last compared to the distance between the point located at the frontmost part of the last and the point located at the rearmost part. It may be a ratio of the distance between the points located on the far right. That is, the second coordinates used to calculate the dimensions included in the foot size information are preset, and the third coordinates used to calculate the dimensions included in the last dimension information are points at positions corresponding to the second coordinates. It is already set. Through this, the dimensions included in the foot size information and the dimensions included in the last dimension information can correspond to each other. For example, the distance between the ball of the foot included in the foot size information and the distance between the leftmost point and the rightmost point of the last included in the last size information may correspond to each other.

Additionally, the last matching unit 103 calculates a plurality of second main difference values, which are difference values between each of the first main ratios and each of the third main ratios (S250).

When the first main ratios and the third main ratios are calculated, the last matching unit 103 calculates a second main difference value, which is a difference value between the first main ratio and the third main ratio. Each of the first main ratios and each of the third main ratios are matched 1:1, and the last matching unit 103 matches the difference value between the matched first main ratio and the third main ratio to the second main ratio. It is decided by the difference value. Through this, the same number of second main difference values as the number of first main ratios and third main ratios can be calculated.

Additionally, the last matching unit 103 calculates a plurality of second sub-difference values, which are difference values between each of the first sub-ratios and each of the third sub-ratios (S260).

When the first sub-ratios and the third sub-ratios are calculated, the last matching unit 103 calculates a second sub-difference value that is a difference value between the first sub-ratio and the third sub-ratio. Each of the first sub-ratios and each of the third sub-ratios are matched 1:1, and the last matching unit 103 uses the difference value between the matched first and third sub-ratios as the second sub-ratio. It is decided by the difference value. Through this, the same number of second sub-difference values as the number of first sub-ratios and third sub-ratios can be calculated.

Additionally, the last matching unit 103 calculates a second ratio fitness corresponding to each of the lasts based on the second main difference values and the second sub difference values (S270).

If the difference between the first main ratios and first sub-ratios of the product and the third main ratios and third sub-ratios of the last is relatively large, it may be determined that the degree of agreement between the ratios of the product and the last is relatively low. When the difference between the first main ratios and first sub-ratios of the product and the third main ratios and third sub-ratios of the last is relatively small, it can be determined that the degree of agreement between the ratios of the product and the last is relatively large.

The last matching unit 103 determines that the smaller the sum of the sum of all the second main difference values multiplied by the first weight and the sum of all the second sub-difference values multiplied by the second weight, the smaller the second proportional fitness. can be calculated highly. The first weight is determined to be a smaller value than the second weight.

In addition, the last matching unit 103 increases the second ratio as the sum of the sum of all the second main difference values multiplied by the first weight and the sum of all the second sub-difference values multiplied by the second weight increases. The goodness of fit may be calculated to be low. The first weight is determined to be a smaller value than the second weight.

In addition, the last matching unit 103 calculates the increase volume and decrease volume corresponding to each of the lasts based on the point cloud of the product and the point cloud of the last (S280).

The dimension information receiving unit 101 receives the point cloud of the product generated by the scanning device 200. In addition, the point cloud of each last is stored in advance in the database of the analysis server 100.

The last matching unit 103 arranges the point cloud of the product and the last point cloud, and is a volume of space located inside the surface formed by the point cloud of the product and outside the surface formed by the last point cloud. Calculate the increased volume of phosphorus.

The last matching unit 103 calculates the reduced volume, which is the volume of space located outside the surface formed by the point cloud of the product and located inside the surface formed by the last point cloud.

Additionally, the last matching unit 103 calculates a matching degree corresponding to each of the lasts based on the second proportional fitness, the increased volume, and the decreased volume (S294).

In one embodiment, the last matching unit 103 may determine the matching degree to be relatively large as the second rate of suitability is relatively large. The recommended product determination unit 102 may determine the matching degree to be relatively small as the second ratio suitability is relatively small.

In one embodiment, the last matching unit 103 may determine the matching degree to be relatively large as the sum of the increased volume multiplied by the third weight and the decreased volume multiplied by the fourth weight is relatively small. The last matching unit 103 may determine the matching degree to be relatively small as the sum of the increased volume multiplied by the third weight and the decreased volume multiplied by the fourth weight is relatively large. The third weight is set smaller than the fourth weight.

Additionally, the last matching unit 103 matches the product with the last with the highest matching degree among the lasts and stores it in the database (S298).

FIG. 8 is a flowchart showing a process in which the last matching unit 103 and the recommended product determining unit 102 according to FIG. 2 determine a recommended product based on the user's foot size information.

First, the last matching unit 103 calculates a plurality of second main ratios and a plurality of second sub-ratios based on the foot size information (S310).

Additionally, the last matching unit 103 calculates a plurality of third main ratios and a plurality of third sub-ratios corresponding to each of the lasts based on last dimension information of each last (S320).

Additionally, the last matching unit 103 calculates a plurality of third main difference values, which are difference values between each second main ratio and each third main ratio (S330).

When the second main ratios and the third main ratios are calculated, the last matching unit 103 calculates a second main difference value, which is a difference value between the second main ratio and the third main ratio. Each of the second main ratios and each of the third main ratios are matched 1:1, and the last matching unit 103 matches the difference value between the matched second main ratios and the third main ratio to the third main ratio. It is decided by the difference value. Through this, the same number of third main difference values as the number of second main ratios and third main ratios can be calculated.

Additionally, the last matching unit 103 calculates a plurality of third sub-difference values, which are difference values between each of the second sub-ratios and each of the third sub-ratios (S340).

When the second sub-ratios and the third sub-ratios are calculated, the last matching unit 103 calculates a third sub-difference value that is a difference value between the second sub-ratio and the third sub-ratio. Each of the second sub-ratios and each of the third sub-ratios are matched 1:1, and the last matching unit 103 matches the difference between the matched second and third sub-ratios to the third sub-ratio. It is decided by the difference value. Through this, the same number of third sub-difference values as the number of second sub-ratios and third sub-ratios can be calculated.

Additionally, the last matching unit 103 calculates a third ratio fitness corresponding to each of the lasts based on the third main difference values and the third sub difference values (S350).

If the difference between the second main ratios and second sub-ratios of the user's foot and the third main ratios and third sub-ratios of the last is relatively large, it is determined that the degree of coincidence between the ratios of the user's foot and the last is relatively low. You can. If the difference between the second main ratios and second sub-ratios of the user's foot and the third main ratios and third sub-ratios of the last is relatively small, it is determined that the degree of agreement between the ratios of the user's foot and the last is relatively large. You can.

The last matching unit 103 determines that the smaller the sum of the sum of all the third main difference values multiplied by the first weight and the sum of all the third sub-difference values multiplied by the second weight, the smaller the third ratio fitness. can be calculated highly. The first weight is determined to be a smaller value than the second weight.

In addition, the last matching unit 103 increases the third ratio as the sum of the sum of all third main difference values multiplied by the first weight and the sum of all third sub-difference values multiplied by the second weight increases. The goodness of fit may be calculated to be low. The first weight is determined to be a smaller value than the second weight.

Additionally, the last matching unit 103 determines the last with the highest third ratio suitability among the lasts as the user last (S360).

The last matching unit 103 matches the user's last with the user's foot in advance and stores it in the database of the analysis server 100.

Additionally, the recommended product determination unit 102 determines a product that has previously been matched with the user's last among the products as a recommended product (S380).

When a plurality of products are matched with the user last and stored, the plurality of products previously matched with the user last are determined as recommended products.

The recommended product determination unit 102 may search the database for product images, materials, and prices that are previously matched to the recommended product, and provide the searched product images, materials, and prices to the user through an output interface device.

Additionally, the recommended product determination unit 102 may transmit the searched product image, material, and price to the scanning device 200. The scanning device 200 may provide product images, materials, prices, etc. received through an output interface device included in the scanning device 200 to the user.

FIG. 9 is a diagram illustrating the hardware configuration of the analysis server 100 according to FIG. 1.

Referring to FIG. 9, the analysis server 100 stores at least one processor 110 and instructions instructing the at least one processor 110 to perform at least one operation. May include memory.

The at least one operation may include the components 101 to 103 of the analysis server 100 described above or other functions or operation methods.

Here, the at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. You can. Each of the memory 120 and the storage device 160 may be comprised of at least one of a volatile storage medium and a non-volatile storage medium.

For example, the memory 120 may be one of read only memory (ROM) and random access memory (RAM), and the storage device 160 may be flash memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

Additionally, the analysis server 100 may include a transceiver 130 that performs communication through a wireless network. Additionally, the analysis server 100 may further include an input interface device 140, an output interface device 150, a storage device 160, etc. Each component included in the analysis server 100 is connected by a bus 170 and can communicate with each other.

Examples of the analysis server 100 include a desktop computer, laptop computer, laptop, smart phone, tablet PC, and mobile phone capable of communication. ), smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) It may be a player, a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, a PDA (Personal Digital Assistant), etc.

Methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on a computer-readable medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the computer software art.

Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions may include machine language code such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The above-described hardware device may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Additionally, the above-described method or device may be implemented by combining all or part of its components or functions, or may be implemented separately.

Although the present invention has been described above with reference to preferred embodiments, those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can do it.

Claims (1)

A system for providing last numerical information to a user,
a scanning device that provides foot dimension information including a plurality of first dimensions for the user's feet to a service providing device; and
Includes a service providing device that determines last numerical information for the user using the foot size information,
The service provision device is,
at least one processor; and
Includes a memory that stores instructions that instruct the at least one processor to perform at least one operation,
The at least one operation is,
Receiving the foot size information from the scanning device;
calculating a plurality of first main ratios and a plurality of first sub-ratios based on the ratio between the first dimensions;
Search for last dimension information pre-matched with each of a plurality of lasts in the database, and based on the ratio between the plurality of second dimensions included in the last dimension information, a plurality of second main ratios and a plurality of second sub An operation to calculate ratios;
Calculating a plurality of first main difference values, which are difference values between each of the first main ratios and each of the second main ratios, and each of the first sub-ratios and each of the second sub-ratios An operation of calculating a plurality of first sub-difference values, which are difference values between;
Using the sum of a first value obtained by adding all of the first main difference values multiplied by a first weight and a second value obtained by adding all of the first sub-difference values multiplied by a second weight greater than the first weight, An operation of determining a first ratio fitness corresponding to each of the lasts;
An operation of determining the last with the highest first ratio suitability among the lasts as the user last;
Search for product size information previously matched to each of a plurality of products in the database, and create a plurality of third main ratios and a plurality of third sub ratios based on the ratio between the plurality of third dimensions included in the product size information. An operation to calculate ratios;
Calculating a plurality of second main difference values, which are difference values between each of the second main ratios and each of the third main ratios, and each of the second sub-ratios and each of the third sub-ratios An operation of calculating a plurality of second sub-difference values, which are difference values between the two sub-difference values;
Each of the lasts using the sum of a third value obtained by adding up all of the second main difference values multiplied by the first weight and a fourth value obtained by adding all of the second sub-difference values multiplied by the second weight. An operation of determining a second rate of fitness corresponding to;
An operation of calculating an increase volume and a decrease volume corresponding to each of the lasts using the product dimension information and the last dimension information;
An operation of determining a matching degree corresponding to each of the lasts using the second proportional fitness, the increased volume, and the decreased volume;
An operation of matching the last with the highest matching degree among the lasts with the product and storing the last in the database;
Selecting the product previously matched with the user last from the database and determining the selected product as a recommended product;
Calculate a plurality of third main difference values, which are difference values between each of the first main ratios and each of the third main ratios, and each of the first sub-ratios and each of the third sub-ratios An operation of calculating a plurality of third sub-difference values, which are difference values between;
A third ratio goodness of fit is obtained by using the sum of the fifth value obtained by multiplying the first weight to the value obtained by adding all the third main difference values and the sixth value obtained by multiplying the value obtained by adding all the third sub-difference values by the second weight. The act of deciding;
Obtaining expected satisfaction using the third main difference values and the third sub-difference values;
An operation of determining a recommendation level corresponding to each of the products using the third proportional fitness and the expected satisfaction; and
Including the operation of determining the products whose recommendation level is higher than a preset standard as recommended products,
The sum of the first value and the second value and the first ratio fitness are inversely proportional,
The sum of the third value and the fourth value and the second ratio fitness are inversely proportional,
The sum of the fifth value and the sixth value and the third ratio fitness are inversely proportional,
The second proportional fitness and the matching degree are proportional,
The matching degree is inversely proportional to the sum of a seventh value obtained by multiplying the increased volume by the first weight and an eighth value obtained by multiplying the decreased volume by the second weight,
The recommendation is proportional to at least one of the third proportional suitability and the expected satisfaction,
system.