CN114511331A - A method for verifying product authenticity and establishing authorized product data by fabric features - Google Patents

Abstract

A method for verifying the authenticity of products and establishing authorized product data based on fabric features, the present invention determines an image optical feature distribution information of an anti-counterfeiting feature by receiving at least one partial image of the fabric, and performing image analysis on the partial image of the fabric, Afterwards, a fabric serial number generated by an input device is received, and whether the fabric is an authorized product is determined based on the fabric serial number or the image optical feature distribution information. In addition, the present invention generates at least one image of the fabric to be analyzed by photographing a part of a fabric knitted with an anti-counterfeiting feature, and then performs image analysis based on the image of the fabric to be analyzed to generate an image optical distribution feature, and records the image optical distribution feature as a authentic anti-counterfeiting feature information, and storing the authentic anti-counterfeiting feature information with a genuine fabric serial number to generate an authorized product data.

Description

A method for verifying product authenticity and establishing authorized product data by fabric features

technical field

The invention relates to a method for verifying product authenticity and establishing authorized product data, in particular to a method for verifying product authenticity with fabric features and establishing authorized product data with fabric features.

Background technique

According to the investigation, there are many counterfeit products in circulation on the market, so the brand manufacturers of various fabrics have developed a method of adding anti-counterfeiting identification labels to the fabrics in order to provide consumers with the authenticity of the fabric products they want to buy.

Anti-counterfeiting mechanisms such as additionally hanging anti-counterfeiting tags or adding anti-counterfeiting labels on the fabric tags are often used on existing fabrics. The aforementioned anti-counterfeiting mechanisms are provided with anti-counterfeiting barcodes or laser marks on the anti-counterfeiting tags or anti-counterfeiting labels to achieve anti-counterfeiting purposes. . However, the existing anti-counterfeiting hangtags or anti-counterfeiting labels may still be hung on counterfeit goods by unscrupulous operators, which will cause confusion of genuine and counterfeit goods. Furthermore, since the existing anti-counterfeiting mechanism is an additional means, it is still possible for unscrupulous manufacturers to imitate the fabric and attach recycled or forged anti-counterfeiting tags or anti-counterfeiting labels, resulting in a large number of unauthorized fabrics circulating on the market. Damages the brand's goodwill.

On the other hand, the authenticity of the current fabric may also be judged by the sewing needle thread and fabric texture of the fabric. Once the fabric manufacturer flows out of the authorized quantity of fabric during the production process, the aforementioned unauthorized Although the sewing needle and thread and the texture of the fabric are the same as those of the authorized products, when the above-mentioned manufacturers use unauthorized fabrics for identification, the identification results will be wrong.

SUMMARY OF THE INVENTION

The main purpose of the present invention is to solve the problem that the existing anti-counterfeiting technology is easy to be copied, which leads to the inability to correctly verify the authenticity of the product.

The secondary purpose of the present invention is to solve the problem that the existing manufacturers may produce fabrics exceeding the authorized quantity, which makes it difficult to distinguish between authorized products and unauthorized fabrics.

In order to achieve the above object, the present invention provides a method for verifying the authenticity of a product with fabric features, which is implemented by an electronic device, and the method includes the steps:

Accept at least one partial image of the fabric, and perform image analysis on the partial image of the fabric to determine a fabric body composed of at least one first yarn loop and an anti-counterfeiting feature composed of a plurality of second yarn loops, and When judging the anti-counterfeiting feature, analyze an image optical feature distribution information that is regarded as a part of the anti-counterfeiting feature, and the image optical feature distribution information is randomly composed of at least two sub-yarns with dissimilar image optical features constituting the second yarn loop produce;

receiving a fabric serial number generated by operation of an input device; and

Using the fabric serial number or the image optical feature distribution information as an index, read an associated authorized product data, and compare the fabric serial number and the image optical feature distribution information with an authorized product serial number and recorded in the authorized product data. If the anti-counterfeiting feature information associated with the serial number of the authorized product matches, an authorized product prompt message is generated if it matches, and a counterfeit product prompt message is generated if it does not match.

In one embodiment, a camera device is used to photograph a fabric to be inspected to generate a partial image of the fabric.

In one embodiment, at least one partial image of the fabric obtained from the same fabric to be inspected is received, and the anti-counterfeiting feature is summarized in the partial image of the fabric through image similarity analysis.

In one embodiment, at least two local characteristic color distribution information is obtained from the authorized product data, the image optical characteristic distribution information is analyzed based on the color, and at least two characteristic color distribution information are generated, each sampling color of the characteristic color distribution information and the The sampling colors of the local characteristic color distribution information are the same or similar, and the similarities and differences between each of the characteristic color distribution information and the associated one of the local characteristic color distribution information are compared.

In one embodiment, the authorized product data is recorded in a cloud server.

In one embodiment, the cloud server is implemented with blockchain storage.

In one embodiment, the anti-counterfeiting feature information includes a plane image optical feature distribution information and a three-dimensional image optical feature distribution information, receiving a plurality of the fabric partial images obtained from the same fabric to be inspected, and extracting the fabric partial images. The image optical feature distribution information, which is regarded as an anti-counterfeiting feature, is sampled to obtain a to-be-reviewed stereoscopic image optical feature distribution information for comparing the stereoscopic image optical feature distribution information.

In one embodiment, the authorized product reminder information includes at least one of the following groups: a product information, a brand manufacturer, a manufacturing country, a first point of sale, a location of an anti-counterfeiting feature, a fabric image of the anti-counterfeiting feature, and The serial number of the authorized product.

In addition to the foregoing, the present invention further provides a method for establishing authorized product data with fabric features, comprising the steps of:

Photographing a part of a fabric knitted with an anti-counterfeiting feature to generate at least one image of the fabric to be analyzed. The fabric is formed by at least one first yarn loop to form a fabric body, and a plurality of second yarn loops form the anti-counterfeiting feature. The first yarn loop forms the anti-counterfeiting feature. The image optical characteristics of the yarn loops are not similar to the image optical characteristics of the second yarn loops;

Perform image analysis on the second yarn loops in the image of the fabric to be analyzed to generate an image optical feature distribution feature, the image optical feature distribution feature is randomly generated by at least two sub-yarns constituting each of the second yarn loops, the The two sub-yams are not similar in color; and

Record the image optical feature distribution feature as anti-counterfeiting feature information, and store the anti-counterfeiting feature information with an authorized product serial number to generate an authorized product data.

In one embodiment, the two sub-yarns belong to the same hue in a natural color system and are separated by at least three color levels.

In one embodiment, the two sub-yarns cannot be pure white, pure black, or gray mixed with pure white and pure black in proportion.

In one embodiment, the second sub-yarn cannot be a reflective yarn.

In one embodiment, the serial number of the authorized product is a first-class serial number or is defined by a brand.

In one embodiment, the authorized product data further includes first point-of-sale data, which is generated when the fabric is first sold at a store.

In one embodiment, a part of the fabric knitted with the anti-counterfeiting feature is photographed to generate a plurality of images of the fabric to be analyzed, the angles of the images of the fabric to be analyzed are different, and the images of the fabric to be analyzed are sampled to generate a flat image The optical feature distribution information and the optical feature distribution information of a stereoscopic image are recorded in the anti-counterfeiting feature information.

In one embodiment, the image optical feature distribution characteristics are analyzed based on color to generate at least two partial characteristic color distribution information, and the two partial characteristic color distribution information is recorded in the authorized product data.

Through the aforementioned disclosure of the present invention, compared with the prior art, the present invention has the following features: the present invention directly forms the anti-counterfeiting feature on the fabric, so the present invention is based on the image optical feature randomly generated by the at least two sub-yarns when verifying the authenticity of the product Distribution information and the fabric serial number to determine whether the fabric is an authorized product. In addition, when the present invention establishes the authorized product data, since the anti-counterfeiting feature is simultaneously generated on the fabric body during the weaving process of the fabric, so that when the unauthorized fabric exceeds the genuine quantity and enters the market, the brand owner can By not providing the fabric serial number to the fabric, subsequent users can identify whether the fabric is authorized by the brand.

The present invention is described in detail below with reference to the accompanying drawings and specific embodiments, but is not intended to limit the present invention.

Description of drawings

Fig. 1, the first embodiment step schematic diagram of the present invention's method for verifying the authenticity of a product with fabric features;

Fig. 2, the fabric schematic diagram of the first embodiment of the method for verifying the authenticity of a product with fabric characteristics of the present invention;

3 is a schematic diagram of an electronic device according to the first embodiment of the method for verifying the authenticity of a product with fabric features of the present invention;

Fig. 4, the second embodiment step schematic diagram of the method for verifying the authenticity of a product with fabric features of the present invention;

Fig. 5, the third embodiment step schematic diagram of the method for verifying the authenticity of a product with fabric features of the present invention;

6 is a schematic diagram of the fourth embodiment of the method for verifying the authenticity of a product with fabric features of the present invention;

FIG. 7 is a schematic diagram of an image of a fabric to be analyzed according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of image optical feature distribution information of an authorized product according to an embodiment of the present invention;

FIG. 9 is a schematic diagram (1) of local characteristic color distribution information according to an embodiment of the present invention;

FIG. 10 is a schematic diagram (2) of local feature color distribution information according to an embodiment of the present invention;

FIG. 11 is a schematic diagram of a partial image of a fabric according to an embodiment of the present invention;

FIG. 12 is a schematic diagram of image optical feature distribution information according to an embodiment of the present invention;

FIG. 13 is a schematic diagram (1) of characteristic color distribution information according to an embodiment of the present invention;

FIG. 14 is a schematic diagram (2) of characteristic color distribution information according to an embodiment of the present invention;

FIG. 15 is a schematic diagram (1) of distribution difference information according to an embodiment of the present invention;

FIG. 16 is a schematic diagram (2) of distribution difference information according to an embodiment of the present invention;

Figure 17 is a schematic diagram of an image of a fabric to be analyzed according to another embodiment of the present invention;

FIG. 18 is a schematic diagram of image optical feature distribution information of an authorized product according to another embodiment of the present invention;

FIG. 19 is a schematic diagram (1) of local characteristic color distribution information according to another embodiment of the present invention;

FIG. 20 is a schematic diagram (2) of local feature color distribution information according to another embodiment of the present invention;

Figure 21 is a schematic diagram of a partial image of a fabric according to another embodiment of the present invention;

FIG. 22 is a schematic diagram of image optical feature distribution information according to another embodiment of the present invention;

Fig. 23 is a schematic diagram (1) of characteristic color distribution information according to another embodiment of the present invention;

Figure 24 is a schematic diagram (2) of characteristic color distribution information of another embodiment of the present invention;

FIG. 25 is a schematic diagram (1) of distribution difference information according to another embodiment of the present invention;

Figure 26 is a schematic diagram (2) of distribution difference information according to another embodiment of the present invention;

Figure 27 is a schematic diagram of the fifth embodiment of the method for verifying the authenticity of a product with fabric features of the present invention;

FIG. 28 is a schematic diagram of the steps of the first embodiment of the method for establishing authorized product data with fabric characteristics according to the present invention;

FIG. 29 is a schematic diagram of the steps of the second embodiment of the method for establishing authorized product data with fabric features according to the present invention.

FIG. 30 is a schematic diagram of the steps of the third embodiment of the method for establishing authorized product data based on fabric features according to the present invention.

where the reference number

10........Methods

11............steps

111............Substeps

112............Substeps

12............steps

13............steps

131............Substeps

14............steps

20..........Electronics

201..........................Partial image of fabric

202..........The image of the fabric to be analyzed

21..........Operation module

211............Image optical feature distribution information

212............license data

213............Authorized product serial number

214..........Security feature information

215.........................Information of authorized product

216..............Forgery information

217..............local feature color distribution information

218..............Local feature color distribution information

219............Feature color distribution information

250..............Feature color distribution information

251..........Image optical characteristics distribution characteristics

252..........Distribution difference information

253..........Distribution difference information

22.........................Input device

221............Fabric serial number

23............Camera device

24.........................Display unit

30..........Fabric

31..........Fabric body

311..............First yarn circle

32..........Anti-counterfeiting features

321..............Second yarn circle

322..........Sub Yarn

323..............Sub Yarn

40.........................Cloud server

50............method

51............steps

511............Substep

52.........................steps

53..............steps

531............Substeps

Detailed ways

The detailed description and technical content of the present invention are now described as follows in conjunction with the accompanying drawings:

Please refer to FIG. 1 to FIG. 6 , the present invention provides a method 10 for verifying the authenticity of a product based on fabric features. The method 10 is implemented by an electronic device 20 and used to determine the authenticity of a fabric 30 . Before describing the method 10 of the present invention, the fabric 30 of the present invention is first described. The fabric 30 has a fabric body 31 composed of at least one first yarn loop 311 , and a fabric body 31 composed of a plurality of second yarn loops 321 . The anti-counterfeiting feature 32, the fabric body 31 and the anti-counterfeiting feature 32 are connected, that is to say, the anti-counterfeiting feature 32 of the present invention is directly formed on the fabric 30, instead of being connected to the fabric 30 with an additional structure such as an existing hangtag . In addition, the image optical characteristics of the fabric body 31 and the anti-counterfeiting feature 32 of the present invention are not similar, that is, the image optical characteristics of the first yarn loops 311 are not similar to the colors of the second yarn loops 321. A yarn loop 311 and the second yarn loops 321 can respectively belong to different hues in a natural color system, and the two hues have an included angle greater than or equal to 30 degrees, for example, when the first When the yarn circle 311 selects the hue of Y10R, the second yarn circles 321 must exclude the hue between the angle between Y10R and Y50R or the hue between the angle between Y10R and G70Y. In addition, when the color of the first yarn circle 311 and the colors of the second yarn circles 321 belong to the same hue and are separated by at least three color steps. For example, when the first yarn loop 311 and the second yarn loops 321 are of the same hue of Y90R, the color level of the first yarn loop 311 is located in the middle of an NCS Color Triangle formed by the NCS color circle. When the color scale is S1050, the second yarn circles 321 can be selected to be in the S1020 color scale or the S6030 color scale. That is to say, the color number of the first yarn circle 311 is S1050-Y90R, and the second yarn circles The color number of circle 321 is selected as S1020-Y90R or S6030-Y90R.

Further, the method 10 of the present method 10 for verifying the authenticity of a product with fabric features includes the following steps:

Step 11: Accept at least one fabric partial image 201, and perform image analysis on the fabric partial image 201 to determine a fabric body 31 composed of the first yarn loops 311 and a fabric body 31 composed of the second yarn loops 321. The anti-counterfeiting feature 32 is formed, and when the anti-counterfeiting feature 32 is determined, an image optical feature distribution information 211 regarded as a part of the anti-counterfeiting feature 32 is analyzed, and the image optical feature distribution information 211 is composed of the second yarn loops. At least two sub-yarns 322 and 323 of 321 whose optical characteristics are not similar to each other are randomly generated;

Step 12: Receive a fabric serial number 221 generated by the operation of an input device 22; and

Step 13: Using the fabric serial number 221 or the image optical feature distribution information 211 as an index, read a related authorized product data 212, and compare whether the fabric serial number 221 and the image optical feature distribution information 211 are the same as the authorized product data 212. An authorized product serial number 213 and an anti-counterfeiting feature information 214 associated with the authorized product serial number 213 are matched. If they match, an authorized product prompt message 215 will be generated. If not, a fake product prompt message 216 will be generated.

The method 10 is specifically described. Step 11 is performed. A computing module 21 of the electronic device 20 receives the fabric partial image 201 generated based on the fabric 30 and performs image analysis on the fabric partial image 201. For example, the The computing module 21 can determine the color distribution state of the partial image 201 of the fabric, the shape of the anti-counterfeiting feature 32, or the difference in light absorption of the special wavelength between the fabric body 31 and the anti-counterfeiting feature 32, etc. The fabric body 31 and the anti-counterfeiting feature 32 , and the computing module 21 analyzes the image optical feature distribution information 211 that is regarded as a part of the anti-counterfeiting feature 32 when judging the anti-counterfeiting feature 32 . In addition, the image optical feature distribution information 211 is randomly generated by the two sub-yarns 322 and 323 constituting the second yarn loop 321 , and the image optical feature distribution information 211 is used to describe that the two sub-yarns 322 and 323 reveal the second yarn loop The color distribution on the surface of one side of 321, taking Fig. 2 as an example, in the figure, the color of one of the two sub-yarns 322, 323 is represented by a dot pattern, and the other one of the two sub-yarns 322, 323 is represented by a blank color, one of the two sub-yarns 322, 323 is mainly distributed at the outer edge of the second yarn loop 321, and the other of the two sub-yarns 322, 323 is mainly distributed at the inner edge of the second yarn loop 321 and the two sub-yarns 322 and 323 occupy 50% of the surface of the second yarn circle 321 respectively. The image optical feature distribution information 211 describes the distribution position and distribution area of the two sub-yarns 322 and 323 .

Then, go to step 12 to accept the fabric serial number 221 generated by the operation of the input device 22, wherein the input device 22 described herein can define the input device 22 according to the type of the electronic device 20. For example, when When the electronic device 20 is a notebook computer, the input device 22 can be a keyboard of the notebook computer, and when the electronic device 20 is a smart phone, the input device 22 can be a touch screen of the smart phone . Next, in step 13, the computing module 21 uses the fabric serial number 221 or the image optical feature distribution information 211 as an index to read the associated authorized product data 212, and compare the fabric serial number 221 with the authorized product data 212 The authorized product serial number 213 recorded in the image optical feature distribution information 211 and the anti-counterfeiting feature information 214 associated with the authorized product serial number 213 are compared at the same time. If the comparison result is consistent, the computing module 21 generates the authorized product prompt information 215 and pass it to a display module 24 , and if the comparison result does not match, the counterfeit alert message 216 is generated to the display module 24 . Wherein, the display module 24 depicted in this figure may be a display screen of the electronic device 20 or a display device externally connected to the electronic device 20 . In addition, the authorized product prompt information 215 and the counterfeit product prompt information 216 described herein may be a prompt tone, a prompt pattern, or a text message, respectively. In one embodiment, the authorized product reminder information 215 includes at least one of the following groups: a product information, a brand manufacturer, a country of manufacture, a first point of sale, a location of the anti-counterfeiting feature 32, the anti-counterfeiting feature 32 A fabric image of the feature 32 and the authorized product serial number 213, wherein the product information refers to the product-related information of the fabric 30 (ie the authorized product) authorized to manufacture and sell, for example, the product information can represent The article number or lot number of the fabric 30, etc.

On the other hand, the present invention does not add anti-counterfeiting means by means of additionally hanging anti-counterfeiting tags or pasting anti-counterfeiting labels, but directly forms the anti-counterfeiting feature 32 on the fabric 30, and at the same time passes through the second yarn loop 321. The color of the side surface is randomly changed to carry out the authenticity judgment of the fabric 30 . By the disclosure of the present invention, counterfeiting of the fabric 30 by unauthorised manufacturers can be prevented, and at the same time, it can also prevent the manufacturer from flowing out excess and unauthorized fabric 30 into the market during the production process.

In an embodiment, please refer to FIG. 1 to FIG. 4 again, the electronic device 20 further includes a camera device 23 that is informationally connected to the operation module 21 , and the method 10 includes a step 14 : using the camera device 23 to detect a to-be-detected The fabric is photographed to generate the fabric partial image 201 . In yet another embodiment, please refer to FIG. 5 again, the step 11 of the method 10 further includes a sub-step 111 : receiving at least one partial image 201 of the fabric obtained from the same fabric to be inspected, and analyzing the image similarity The anti-counterfeiting feature 32 is summarized in the fabric partial image 201 . For example, the computing module 21 can perform similarity statistics based on the fabric to be inspected, and when the difference between the samples generated by the fabric to be inspected is small, it is determined that the samples are approximate, that is, the samples The samples are the fabric body 31 . When the similarity distance between the samples is too large, it is determined that the samples are not similar, that is, the samples contain the fabric body 31 and the anti-counterfeiting feature 32 .

3, 6 to 26, the step 13 of the method 10 further includes a sub-step 131: obtaining at least two local characteristic color distribution information 217, 218 from the authorized product data 212 , analyze the image optical characteristic distribution information 211 based on color and generate at least two characteristic color distribution information 219, 250, the sampling color of each characteristic color distribution information 219 (250) and the sampling of the local characteristic color distribution information 217, 218 The colors are the same or similar, and the similarities and differences between each of the characteristic color distribution information 219 ( 250 ) and the associated one of the local characteristic color distribution information 217 ( 218 ) are compared. For the convenience of description below, FIG. 7 to FIG. 26 are used as examples, and it is assumed that the anti-counterfeiting feature 32 is composed of the red sub-yarn 322 and the green sub-yarn 323 respectively. The operation module 21 obtains the local characteristic color distribution information 217 , 218 from the authorized product data 212 , and the local characteristic color distribution information 217 , 218 can be pre-stored in a cloud server 40 and extracted by the operation module 21 . In addition, the local characteristic color distribution information 217 describes the distribution state of a red sub-yarn of an anti-counterfeiting feature on an authorized product, and the local characteristic color distribution information 218 describes the distribution state of the green sub-yarn of the anti-counterfeiting feature on the authorized product , and the combination of the local feature color distribution information 217 and 218 is an image optical feature distribution feature 251 representing the anti-counterfeiting feature of the authorized product. Next, the operation module 21 analyzes the image optical feature distribution information 211 based on color and generates the at least two characteristic color distribution information 219 and 250 , the characteristic color distribution information 219 describes the distribution of the red sub-yarns 322 on the anti-counterfeiting feature 32 state, and the characteristic color distribution information 250 describes the distribution state of the green sub-yarn 323 . In addition, the sampling color of each of the characteristic color distribution information 219 ( 250 ) is the same as or similar to the sampling color of the local characteristic color distribution information 217 and 218 . Then, the operation module 21 compares the characteristic color distribution information 219 with the associated local characteristic color distribution information 217 and generates a distribution difference information 252 based on red, and the operation module 21 also compares the characteristic color distribution. The information 250 is associated with the local characteristic color distribution information 218 and generates a distribution difference information 253 based on green, wherein, from the view of Figures 15 and 16 of this pattern, the two local characteristic color distribution information 218, 253 are not displayed on There is a difference marking pattern, indicating that the characteristic color distribution information 219 is not different from the associated local characteristic color distribution information 217 and the characteristic color distribution information 250 is not different from the associated local characteristic color distribution information 218, that is, the fabric 30 and the authorized product. same. Assuming that the two partial characteristic color distribution information 218 and 253 display a difference marking pattern (as shown in FIG. 25 and FIG. 26 ), it means that the fabric 30 is different from the authorized product. In one embodiment, the computing module 21 may perform statistical analysis based on the distribution difference information 252 and the distribution difference information 253 , if the difference between the image optical feature distribution feature 251 and the image optical feature distribution information 211 is greater than or equal to a threshold If the difference value is less than a threshold value, the authorized product is determined to be the same as the fabric 30 and the authorized product reminder message 215 is generated. In addition, the calculation and judgment formulas of the aforementioned difference values are as follows:

and,

Among them, T represents one of the local characteristic color distribution information 217 ( 218 ), Q represents one of the characteristic color distribution information 219 ( 250 ), and C represents the color group of the fabric 30 (in this embodiment, C ={red, green}), N _pixel represents the total number of pixels of the two local characteristic color distribution information 217, 218 and the two characteristic color distribution information 219, 250, and D _threshold represents the critical value.

On the other hand, in one embodiment, the electronic device 20 of the present invention can be connected to the cloud server 40 for information, and the authorized product data 212 is recorded in a cloud server 40 . That is, the computing module 21 extracts the authorized product data associated with the fabric serial number 221 or the image optical feature distribution information 211 from the cloud server 40 based on the fabric serial number 221 or the image optical feature distribution information 211 as an index 212. Further, the cloud server 40 is implemented with blockchain storage. After the cloud server 40 accepts the license data 212 to be stored, the cloud server 40 can encrypt the license data 212 . For example, the cloud server 40 may attach a timestamp to the license data 212 or store it in an encrypted manner, wherein the encryption method may be by adding a hash value ( hash value) and other means. Accordingly, the present invention also ensures that the authorized product data 212 cannot be tampered with after being written into the cloud server 40 through a distributed computing framework (eg, blockchain), thereby providing confidentiality and immutability.

On the other hand, in an embodiment, please refer to FIG. 27, in order to enhance the strength of the present invention to verify the authenticity of the fabric 30, the anti-counterfeiting feature information 214 includes a plane image optical feature distribution information and a stereo image optical feature distribution information, The step 11 of the method 10 further includes a sub-step 112 : accepting a plurality of the fabric partial images 201 obtained from the same fabric to be inspected, and extracting the image of the fabric partial images 201 that is regarded as the anti-counterfeiting feature 32 Optical feature distribution information 211 , and sample the optical feature distribution information of a stereoscopic image to be examined for comparing the optical feature distribution information of the stereoscopic image. Specifically, the planar image optical feature distribution information may be based on a planar image generated by the fabric 30 , the planar image represents the image optical feature distribution information 211 of the fabric 30 in a two-dimensional manner, and the stereoscopic image optical feature distribution The information is based on the image optical feature distribution information 211 representing the fabric 30 in a three-dimensional manner based on the fabric 30 . In addition, the 3D image optical feature distribution information can be used by the computing module 21 to identify the color distribution states of the at least two sub-yarns 322 and 323 of the fabric 30 at different three-dimensional angles, and at the same time, the computing module 21 can sample the 3D image optical feature to be tested. Feature distribution information, in this way, the operation module 21 can strengthen the verification of the authenticity of the fabric 30 .

Please refer to FIG. 2 , FIG. 28 to FIG. 30 , in addition to the above, the present invention also provides a method 50 for establishing authorized product data based on fabric features. The method 50 includes the following steps:

Step 51: Photograph the part of the fabric 30 knitted with the anti-counterfeiting feature 32 to generate at least one image 202 of the fabric to be analyzed. The fabric 30 is formed by the first yarn loop 311 to form the fabric body 31 and the second yarns The loops 321 form the anti-counterfeiting feature 32, and the image optical characteristics of each of the first yarn loops 311 are not similar to the image optical characteristics of each of the second yarn loops 321;

Step 52 : Perform image analysis on the second yarn loop 321 in the fabric image 202 to be analyzed to generate the image optical feature distribution feature 251 , and the image optical feature distribution feature 251 is composed of the two sub-loops composing the second yarn loop 321 . The yarns 322, 323 are randomly generated, and the image optical characteristics of the two sub-yarns 322, 323 are not similar; and

Step 53 : Record the image optical feature distribution feature 251 as the anti-counterfeiting feature information 214 , and store the anti-counterfeiting feature information 214 in association with the authorized product serial number 213 to generate the authorized product data 212 .

The method 50 is specifically described, and the step 51 is performed to photograph the part of the fabric 30 with the anti-counterfeiting feature 32 to generate at least the fabric image 202 to be analyzed, and then the step 52 is performed to perform the steps of the fabric images 202 to be analyzed. The second yarn loop 321 performs image analysis to generate the image optical feature distribution feature 251 . Specifically, the image optical feature distribution feature 251 is generated by at least two sub-yarns 322, 323 forming each of the second yarn loops 321, because the two sub-yarns 322, 323 are randomly twisted to form each second yarn loop 321, so that the two sub-yams 322, 323 appear randomly on the surface of each second yarn loop 321. Furthermore, the image optical characteristics of the two sub-yarns 322 and 323 are not similar, so that the two sub-yarns 322 and 323 can be clearly distinguished on each of the second yarn loops 321 . Wherein, the image optical characteristics of the two sub-yarns 322 and 323 described herein are not similar. For example, when the two sub-yarns 322 and 323 are of different hues in the natural color system, and the two hues have a value greater than or equal to Hue angle of 30 degrees. In addition, when the two sub-yarns 322 and 323 belong to the same hue, the two sub-yarns 322 and 323 are separated by at least three hues. Continuing from the above, after the color sampling is completed, go to step 53, record the image optical feature distribution feature 251 as the anti-counterfeiting feature information 214, and store the anti-counterfeiting feature information 214 in association with the authorized product serial number 213 to complete the authorized product Data 212. Assuming that when the anti-counterfeiting feature information 214 or the authorized product serial number 213 is extracted, the authorized product serial number 213 in the authorized product data 212 corresponding to the anti-counterfeiting feature information 214, or the authorized product data 212 corresponding to the authorized product serial number 213 The anti-counterfeiting feature information 214 is extracted together.

In one embodiment, the color of the second sub-yarns 322 and 323 cannot be pure black, so as to prevent the two sub-yarns 322 and 323 from absorbing light when the anti-counterfeiting feature 32 is photographed, so that the fabric image 202 to be analyzed cannot be generated. In addition, if the second sub-yarns 322 and 323 generate a large amount of reflections during the imaging process, they cannot be recognized by the computing module 21. Therefore, the second sub-yarns 322 and 323 cannot be reflective yarns or metal yarns that produce a large amount of reflective effects. . Similarly, since white will produce a lot of reflections after being projected by light, the two sub-yarns 322 and 323 cannot be pure white or gray mixed with pure white and pure black in proportion.

On the other hand, in one embodiment, the serial number 213 of the authorized product may be a serial number or defined by a brand, wherein any two serial numbers are not repeated. For example, the brand owner can define the authorized product serial number 213 based on the production information of the fabric 30 , and the brand owner can also define the authorized product serial number 213 based on the product number or batch number of the fabric 30 . In addition, in one embodiment, the authorized product data 212 may further include a first point of sale data, the first point of sale data is generated when the fabric 30 is first sold at a store, and the first point of sale data may describe the fabric 30 The store information of a sales office when the fabric 30 is sold for the first time, for example, the first sales point data can describe the store name and store address of the sales office of the fabric 30 .

In one embodiment, the step 53 of the method 50 further includes a sub-step 531 : analyzing the image optical feature distribution feature 251 based on color and generating at least two local feature color distribution information 217 and 218 , and making the two local feature color distributions Information 217 and 218 are recorded in the authorized product data 212 . Taking FIGS. 7 to 26 as an example, it is assumed that the anti-counterfeiting feature 32 of the fabric 30 includes the red sub-yarn 322 and the green sub-yarn 323 . Enter the sub-step 531, analyze based on the color difference of the image optical feature distribution feature 251, and generate the two local feature color distribution information 217 describing the distribution state of the red sub-yarn 322 and the green sub-yarn 323 distribution state respectively , 218. Then, the two local characteristic color distribution information 217 and 218 are recorded in the authorized product data 212 .

Furthermore, in one embodiment, in order to enhance the anti-counterfeiting recognition of the fabric 30, the step 51 of the method 50 further includes a sub-step 511: photographing the part of the fabric 30 knitted with the anti-counterfeiting feature 32 to generate The fabric images 202 to be analyzed, the angles of the fabric images 202 to be analyzed are different, the fabric images 202 to be analyzed are sampled to generate the optical feature distribution information of the planar image and the optical feature distribution information of the three-dimensional image, and record on the anti-counterfeiting feature 32 . Wherein, the optical feature distribution information of the plane image is processed by image processing of the fabric images 202 to be analyzed, and the color distribution state of the fabric 30 is presented in a two-dimensional manner, and the optical feature distribution information of the stereoscopic image is obtained through the image processing. The images 202 of the fabrics to be analyzed show the color distribution state of the fabrics 30 in a three-dimensional manner, so that the user does not need to limit the shooting angle when verifying the fabrics 30 , and the verification is convenient for the user.

Of course, the present invention can also have other various embodiments, without departing from the spirit and essence of the present invention, those skilled in the art can make various corresponding changes and modifications according to the present invention, but these corresponding Changes and deformations should belong to the protection scope of the appended claims of the present invention.

Claims (18)

1. a method for verifying the authenticity of a product with fabric features, implemented by an electronic device, is characterized in that, the method comprises the steps: Accept at least one partial image of the fabric, and perform image analysis on the partial image of the fabric to determine a fabric body composed of at least one first yarn loop and an anti-counterfeiting feature composed of a plurality of second yarn loops, and When judging the anti-counterfeiting feature, analyzing an image optical feature distribution information that is regarded as a part of the anti-counterfeiting feature, the image optical feature distribution information is randomly generated by at least two sub-yarns of different colors constituting the second yarn circle; receiving a fabric serial number generated by operation of an input device; and Using the fabric serial number or the image optical feature distribution information as an index, read an associated authorized product data, and compare whether the fabric serial number and the image optical feature distribution information are the same as an authorized product serial number and recorded in the authorized product data. If the anti-counterfeiting feature information associated with the serial number of the authorized product matches, an authorized product prompt message is generated if it matches, and a counterfeit product prompt message is generated if it does not match. 2 . The method of claim 1 , wherein a camera device is used to photograph a fabric to be inspected to generate a partial image of the fabric. 3 . 3. The method according to claim 2, wherein at least one partial image of the fabric obtained from the same fabric to be inspected is received, and image similarity analysis is performed to identify the partial image of the fabric in the image. Summarize the anti-counterfeiting feature. 4. The method of claim 3, wherein at least two local characteristic color distribution information is obtained from the authorized product data, and the image optical characteristic distribution information is analyzed based on the color to generate at least two characteristics Color distribution information, the sampling color of each characteristic color distribution information is the same as or similar to the sampling color of the local characteristic color distribution information, and compare each characteristic color distribution information with the associated one of the local characteristic color distribution information. Similarities and differences. 5. The method for verifying the authenticity of a product by fabric features according to any one of claims 1 to 4, wherein the authorized product data is recorded in a cloud server. 6 . The method of claim 5 , wherein the cloud server is implemented with blockchain storage. 7 . 7. The method for verifying the authenticity of a product by fabric features according to any one of claims 2 to 4, wherein the anti-counterfeiting feature information comprises a plane image optical feature distribution information and a three-dimensional image optical feature distribution information, received from From a plurality of partial images of the fabric obtained from the same fabric to be inspected, extract the optical feature distribution information of the images that are regarded as anti-counterfeiting features in the partial images of the fabric, and sample the optical feature distribution information for comparing the three-dimensional image optical feature distribution information. 1. Optical feature distribution information of the stereoscopic image to be examined. 8. The method for verifying the authenticity of a product with fabric features as claimed in any one of claims 1 to 4, wherein the authorized product prompt information includes at least one of the following groups: a product information, a brand manufacturer, A country of manufacture, a first point of sale, a location of the anti-counterfeiting feature, a fabric image of the anti-counterfeiting feature, and the serial number of the authorized product. 9. a method for establishing authorized product data with fabric characteristics, is characterized in that, comprises the steps: Photographing a part of a fabric knitted with an anti-counterfeiting feature to generate at least one image of the fabric to be analyzed. The fabric is formed by at least one first yarn loop to form a fabric body, and a plurality of second yarn loops form the anti-counterfeiting feature. The first yarn loop forms the anti-counterfeiting feature. The image optical characteristics of the yarn loops are not similar to the image optical characteristics of the second yarn loops; Perform image analysis on the second yarn loops in the image of the fabric to be analyzed to generate an image optical feature distribution feature, the image optical feature distribution feature is randomly generated by at least two sub-yarns constituting each of the second yarn loops, the The two sub-yams are not similar in color; and Record the image optical feature distribution feature as anti-counterfeiting feature information, and store the anti-counterfeiting feature information with an authorized product serial number to generate an authorized product data. 10 . The method of claim 9 , wherein the two sub-yarns belong to the same hue in a natural color system and are separated by at least three color levels. 11 . 11 . The method for establishing authorized product data based on fabric characteristics as claimed in claim 9 , wherein the second sub-yarn cannot be pure white, pure black, or gray mixed with pure white and pure black in proportion. 12 . 12. The method for establishing authorized product data based on fabric characteristics according to any one of claims 9 to 11, wherein the second sub-yarn cannot be a reflective yarn. 13. The method for establishing authorized product data based on fabric characteristics according to any one of claims 9 to 11, wherein the authorized product serial number is a first-class serial number or is defined by a brand. 14. The method according to claim 13, wherein the authorized product data further comprises a first-time point-of-sale data, the first-time point-of-sale data when the fabric is first sold at a store produce. 15. The method according to claim 14, wherein a part of the fabric knitted with the anti-counterfeiting feature is photographed to generate a plurality of images of the fabric to be analyzed, the angles of the images of the fabric to be analyzed Differently, the fabric images to be analyzed are sampled to generate a plane image optical feature distribution information and a three-dimensional image optical feature distribution information, which are recorded in the anti-counterfeiting feature information. 16. The method for establishing authorized product data based on fabric features according to any one of claims 9 to 11, wherein the image optical feature distribution feature is analyzed based on color to generate at least two local feature color distribution information, and the two Local characteristic color distribution information is recorded in the authorized product data. 17. The method for establishing authorized product data based on fabric characteristics according to any one of claims 9 to 11, wherein the authorized product data further comprises a first-time point-of-sale data, the first-time point-of-sale data when the fabric is first placed on a Generated when sold at the Vendor. 18. The method for establishing authorized product data based on fabric features according to any one of claims 9 to 11, wherein the part of the fabric knitted with the anti-counterfeiting feature is photographed to generate a plurality of images of the fabric to be analyzed, the The angles of analyzing the fabric images are different, and the fabric images to be analyzed are sampled to generate a plane image optical feature distribution information and a three-dimensional image optical feature distribution information, which are recorded in the anti-counterfeiting feature information.

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