CN116362773A - Red wine intelligent anti-counterfeiting system based on data analysis - Google Patents

Red wine intelligent anti-counterfeiting system based on data analysis Download PDF

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CN116362773A
CN116362773A CN202310626072.6A CN202310626072A CN116362773A CN 116362773 A CN116362773 A CN 116362773A CN 202310626072 A CN202310626072 A CN 202310626072A CN 116362773 A CN116362773 A CN 116362773A
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蔡敏伟
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Jiuxian Network Technology Co ltd
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Abstract

The invention discloses a red wine intelligent anti-counterfeiting system based on data analysis, which belongs to the technical field of anti-counterfeiting, wherein the anti-counterfeiting system integrates the production time of red wine, the corresponding time of a comparison frame image and the like to form a dynamic password which corresponds to each independently packaged red wine one by one, integrates the dynamic password with one part of the comparison frame image after encryption to generate a corresponding two-dimensional code, when the red wine is required to be identified in authenticity, scans the two-dimensional code to acquire a corresponding part of the comparison frame image and the decrypted dynamic password, acquires the other corresponding part of the comparison frame image stored in a database according to the dynamic password, integrates the two parts to obtain a combined image, compares the combined image with the corresponding frame image in the database, and judges the authenticity of the red wine according to the similarity of the combined image and the frame image; compared with the prior art, the method greatly improves the forging difficulty and the forging cost, thereby realizing good anti-counterfeiting effect.

Description

Red wine intelligent anti-counterfeiting system based on data analysis
Technical Field
The invention belongs to the technical field of anti-counterfeiting, and particularly relates to an intelligent red wine anti-counterfeiting system based on data analysis.
Background
The red wine is fermented by combining traditional and scientific methods of fruits such as grapes and blueberries, and is also a low alcohol wine common in China along with the development of economy, and under the stimulation of high profit, the false wine is rapidly diffused in the market, so that the false wine needs to be anti-counterfeiting protected in order to protect the genuine red wine.
In the prior art, the anti-counterfeiting of the red wine is realized by arranging two-dimensional codes, bar codes, radio frequency identification tags and other identification tags on independent packages of the red wine, and a user can acquire corresponding identification information in the future by scanning the tags, wherein the two-dimensional codes and the bar codes intelligently display basic information of some production parties, the counterfeiting cost of the information is low, the counterfeiting difficulty is low, and the radio frequency identification tags need specific instruments to read data, so that the universal and good anti-counterfeiting effect cannot be achieved.
Disclosure of Invention
The invention aims to provide a red wine intelligent anti-counterfeiting system based on data analysis, which solves the problems of poor anti-counterfeiting effect and small anti-counterfeiting difficulty of anti-counterfeiting information of red wine in the prior art.
The aim of the invention can be achieved by the following technical scheme:
a red wine intelligent anti-counterfeiting system based on data analysis comprises:
the video acquisition unit is used for acquiring a video of each bottle of red wine in production, and taking one frame in the video as a contrast frame image of the corresponding red wine;
acquiring an image feature point set of a contrast frame image, and randomly dividing the image feature point set into two image feature point subsets;
the two-dimensional code generating unit is used for generating two-dimensional codes on the red wine package according to the identification ciphertext corresponding to the red wine and a subset of image feature points corresponding to the red wine;
the dynamic encryption and decryption unit is used for encrypting and generating an identification ciphertext according to a dynamic password formed by combining the moment of finishing the filling action of the red wine and the acquisition moment corresponding to the contrast frame image of the red wine;
the method is also used for decrypting the identification ciphertext corresponding to the red wine so as to obtain a dynamic password corresponding to the red wine;
the decoding unit is used for scanning and decoding the two-dimensional code to obtain an identification ciphertext corresponding to the two-dimensional code and an image characteristic point subset corresponding to the red wine;
the database is used for storing a comparison file packet corresponding to the red wine, wherein a comparison frame image corresponding to the red wine and another image characteristic point subset except for the image characteristic point subset for generating the two-dimensional code are stored in the comparison file packet;
the image feature point integrating unit is used for integrating the image feature point subset obtained by decoding by the decoding unit and the image feature subset in the database comparison file package to generate a combined image;
the controller is used for comparing the similarity between the combined image and the real image;
the real image is a frame image at the moment corresponding to the contrast frame image in the contrast video in the contrast file packet.
As a further scheme of the invention, the anti-counterfeiting system anti-counterfeiting method comprises the following steps:
s1, acquiring videos of each bottle of red wine in production through a video acquisition unit, and marking the videos as comparison videos;
the video acquisition unit acquires videos including the red wine filling process;
s2, marking a bottle of red wine as target red wine, and obtaining the moment when the filling action of the target red wine is completed;
acquiring a frame of image from a comparison video of the target red wine and marking the frame of image as a comparison frame image of the target red wine, dividing an image characteristic point set of the comparison frame image into two image characteristic point subsets, and transmitting one image characteristic point subset to a database for storage;
acquiring the acquisition time corresponding to the contrast frame image of the target red wine;
combining the moment of finishing the filling action of the target red wine and the acquisition moment corresponding to the contrast frame image of the target red wine to form a dynamic password;
s3, encrypting the dynamic password of the target red wine through a dynamic encryption and decryption unit to generate an identification ciphertext;
integrating the identification ciphertext with one image feature point subset corresponding to the target red wine, and generating a corresponding two-dimensional code through a two-dimensional code generating unit;
printing the generated two-dimensional code on a label of the target red wine;
placing another image feature point subset corresponding to the target red wine and a comparison video corresponding to the target red wine in the same file package, and marking the file package as a comparison file package of the target red wine;
the comparison file package of the target red wine is named as the moment when the filling action of the target red wine is completed;
s4, marking a bottle of red wine which is required to be identified by a user as red wine to be diagnosed, firstly scanning a two-dimensional code on the red wine label to be diagnosed through a decoding unit, decoding the two-dimensional code by the decoding unit to obtain an identification ciphertext of the red wine to be diagnosed, and then transmitting the identification ciphertext to a dynamic encryption and decryption unit by the decoding unit;
the dynamic encryption and decryption unit decrypts the identification ciphertext to obtain a dynamic password corresponding to the red wine to be diagnosed, so as to obtain a time t1 of a filling action corresponding to the red wine to be diagnosed, a collection time t3 corresponding to a contrast frame image of the red wine to be diagnosed and an image characteristic point subset corresponding to the red wine to be diagnosed, and the image characteristic point subset is marked as a first set;
the controller obtains a comparison file packet corresponding to the red wine to be diagnosed from a database according to the time t1 corresponding to the red wine to be diagnosed for completing the filling action;
acquiring another image feature point subset of red wine to be diagnosed in the comparison file package, marking the image feature point subset as a second set, and integrating the first set and the second set through an image feature point integration unit to generate a combined image;
acquiring a frame image at a corresponding moment in a comparison video of a comparison file packet as a real image according to an acquisition moment t3 corresponding to the comparison frame image of the red wine to be diagnosed;
the controller compares the similarity between the combined image and the real image;
when the similarity alpha between the combined image and the real image is larger than alpha 1, the red wine to be diagnosed is considered as a genuine product;
when the similarity alpha between the combined image and the real image is less than or equal to alpha 1, the red wine to be diagnosed is considered as a fake product; α1 is a preset value.
As a further scheme of the invention, the method for acquiring the control video of the red wine comprises the following steps: the method comprises the steps of setting a first position mark point before a red wine filling process, setting a second position mark point after the red wine filling process, and carrying out video acquisition through a video acquisition unit in the red wine production process, wherein a video between the moment that a red wine bottle reaches the first position mark point and the moment that the red wine bottle reaches the second position mark point is used as a corresponding comparison video of the red wine bottle.
As a further scheme of the invention, when two or more than two bottles of red wine are simultaneously filled in the production process, the serial numbers of the target red wine in the two or more than two bottles of red wine which are simultaneously filled are additionally obtained;
adding a serial number into the dynamic password;
and adding the serial number of the target red wine into the naming of the control file package of the target red wine.
The invention has the beneficial effects that:
1. according to the method, dynamic passwords corresponding to the red wine in one-to-one correspondence to each independent package are formed through integration of the production time of the red wine, the corresponding time of the contrast frame image and the like, the dynamic passwords are encrypted and then integrated with one part of the contrast frame image to generate corresponding two-dimensional codes, when the red wine is required to be identified in authenticity, the corresponding part of the contrast frame image and the decrypted dynamic passwords are obtained through scanning the two-dimensional codes, then the corresponding other part of the contrast frame image stored in a database is obtained according to the dynamic passwords, a combined image is obtained after the two parts are integrated, finally the combined image is compared with the corresponding frame image in the database, and authenticity of the red wine is judged according to the similarity of the two parts; compared with the prior art, the method greatly improves the forging difficulty and the forging cost, thereby realizing good anti-counterfeiting effect;
2. when the anti-counterfeiting system is used for anti-counterfeiting operation, a user can realize code scanning anti-counterfeiting only through portable terminal equipment such as a mobile phone and the like, does not need equipment such as a radio frequency reader-writer and the like, and has good universality.
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The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a frame structure of a red wine intelligent anti-counterfeiting system based on data analysis.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A red wine intelligent anti-counterfeiting system based on data analysis, as shown in fig. 1, comprising:
the video acquisition unit is used for acquiring a video of each bottle of red wine in production, and taking one frame in the video as a contrast frame image of the corresponding red wine;
acquiring an image feature point set of a contrast frame image, and randomly dividing the image feature point set into two image feature point subsets;
the two-dimensional code generating unit is used for generating a two-dimensional code printed or attached on the red wine package according to the identification ciphertext corresponding to the red wine and a subset of image feature points corresponding to the red wine;
the database is used for storing a comparison file packet corresponding to the red wine, wherein a comparison frame image corresponding to the red wine and another image characteristic point subset except for the image characteristic point subset for generating the two-dimensional code are stored in the comparison file packet;
the dynamic encryption and decryption unit is used for encrypting and generating an identification ciphertext according to a dynamic password formed by combining the moment of finishing the filling action of the red wine, the serial number of the red wine and the acquisition moment corresponding to the contrast frame image of the red wine;
the method is also used for decrypting the identification ciphertext corresponding to the red wine so as to obtain a dynamic password corresponding to the red wine;
the decoding unit is used for scanning and decoding the two-dimensional code to obtain an identification ciphertext corresponding to the two-dimensional code and an image characteristic point subset corresponding to the red wine;
the image feature point integrating unit is used for integrating the image feature point subset obtained by decoding by the decoding unit and the image feature subset in the database comparison file package;
the controller is used for comparing the similarity between the combined image and the real image;
the real image is a frame image at the moment corresponding to the contrast frame image in the contrast video in the contrast file packet;
the method for carrying out intelligent red wine anti-counterfeiting by the intelligent red wine anti-counterfeiting system based on data analysis comprises the following steps:
s1, acquiring videos of each bottle of red wine in production through a video acquisition unit, and marking the videos as comparison videos;
in one embodiment of the invention, the video acquisition unit acquires video comprising a red wine filling process;
specifically, a first position mark point is arranged before a red wine filling process, a second position mark point is arranged after the red wine filling process, video acquisition is carried out through a video acquisition unit in the red wine production process, and a video between the moment that a red wine bottle reaches the first position mark point and the moment that the red wine bottle reaches the second position mark point is used as a corresponding comparison video of the red wine bottle;
s2, marking a bottle of red wine as target red wine, and obtaining the moment when the filling action of the target red wine is completed;
when two or more than two bottles of red wine are simultaneously filled in the production process, additionally acquiring serial numbers of the target red wine in the two or more than two bottles of red wine which are simultaneously filled;
the serial numbers of the target red wine are confirmed according to a certain rule according to the position relation between two or more than two red wine bottles filled at the same time, for example, the serial numbers are given to the red wine arranged in rows according to the sequence from left to right, and the serial numbers are given to the red wine distributed in an annular array in turn clockwise or anticlockwise by taking one bottle as a starting point;
acquiring a frame of image in a comparison video of the target red wine, marking the frame of image as a comparison frame image of the target red wine, acquiring an image feature point set of the comparison frame image, randomly dividing the image feature point set into two image feature point subsets, and transmitting one of the image feature point subsets to a database for storage;
acquiring the acquisition time corresponding to the contrast frame image of the target red wine;
combining the moment of finishing the filling action of the target red wine, the serial number of the target red wine and the acquisition moment corresponding to the contrast frame image of the target red wine to form a dynamic password;
in one embodiment of the invention, in order to ensure that the frame images corresponding to the red wines have larger differences, when the comparison video is acquired, the video acquisition area corresponding to the video acquisition unit should have the characteristic of larger change;
in one embodiment of the invention, when the image feature point set corresponding to the contrast frame image is divided into two image feature point subsets, the data volume of one image feature point subset is obviously smaller than the data volume of the other image feature point subset, so that the problems that the generated two-dimensional code has larger capacity and is not easy to identify can be avoided;
s3, encrypting the dynamic password of the target red wine through a dynamic encryption and decryption unit to generate an identification ciphertext;
integrating the identification ciphertext with one image feature point subset corresponding to the target red wine, and generating a corresponding two-dimensional code through a two-dimensional code generating unit;
printing the generated two-dimensional code on a label of the target red wine;
placing another image feature point subset corresponding to the target red wine and a comparison video corresponding to the target red wine in the same file package, and marking the file package as a comparison file package of the target red wine;
the comparison file package of the target red wine is named as the time of finishing the filling action of the target red wine and the serial number of the target red wine;
s4, when a user needs to judge the authenticity of a bottle of red wine, marking the bottle of red wine as red wine to be diagnosed, firstly, scanning a two-dimensional code on the red wine label to be diagnosed through a decoding unit, decoding the two-dimensional code by the decoding unit to obtain an identification ciphertext of the red wine to be diagnosed, and then transmitting the identification ciphertext to a dynamic encryption and decryption unit by the decoding unit;
the dynamic encryption and decryption unit decrypts the identification ciphertext to obtain a dynamic password corresponding to the red wine to be diagnosed, so as to obtain a time t1 of a filling action corresponding to the red wine to be diagnosed, a serial number t2 of the red wine to be diagnosed, a collection time t3 corresponding to a contrast frame image of the red wine to be diagnosed and an image characteristic point subset corresponding to the red wine to be diagnosed, and the image characteristic point subset is marked as a first set;
obtaining a comparison file packet corresponding to the red wine to be diagnosed in a database according to the time t1 corresponding to the red wine to be diagnosed for completing the filling action and the serial number t2 of the red wine to be diagnosed;
acquiring another image feature point subset of red wine to be diagnosed in the comparison file package, marking the image feature point subset as a second set, and integrating the first set and the second set through an image feature point integration unit to generate a combined image;
acquiring a frame image at a corresponding moment in a comparison video of a comparison file packet as a real image according to an acquisition moment t3 corresponding to the comparison frame image of the red wine to be diagnosed;
the controller compares the similarity between the combined image and the real image;
when the similarity alpha between the combined image and the real image is larger than alpha 1, the red wine to be diagnosed is considered as a genuine product;
when the similarity alpha between the combined image and the real image is less than or equal to alpha 1, the red wine to be diagnosed is considered as a fake product; α1 is a preset value.
According to the method, dynamic passwords corresponding to the red wine in one-to-one correspondence to each independent package are formed through integration of the production time of the red wine, the corresponding time of the contrast frame image and the like, the dynamic passwords are encrypted and then integrated with one part of the contrast frame image to generate corresponding two-dimensional codes, when the red wine is required to be identified in authenticity, the corresponding part of the contrast frame image and the decrypted dynamic passwords are obtained through scanning the two-dimensional codes, then the corresponding other part of the contrast frame image stored in a database is obtained according to the dynamic passwords, a combined image is obtained after the two parts are integrated, finally the combined image is compared with the corresponding frame image in the database, and authenticity of the red wine is judged according to the similarity of the two parts;
compared with the prior art, the method has the advantages that the counterfeiting difficulty and the counterfeiting cost are greatly improved, so that a good anti-counterfeiting effect is achieved, and in the whole process, a user can realize code scanning anti-counterfeiting only through portable terminal equipment such as a mobile phone and the like without using equipment such as a radio frequency reader-writer.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.

Claims (4)

1. A red wine intelligent anti-counterfeiting system based on data analysis is characterized by comprising:
the video acquisition unit is used for acquiring a video of each bottle of red wine in production, and taking one frame in the video as a contrast frame image of the corresponding red wine;
acquiring an image feature point set of a contrast frame image, and randomly dividing the image feature point set into two image feature point subsets;
the two-dimensional code generating unit is used for generating two-dimensional codes on the red wine package according to the identification ciphertext corresponding to the red wine and a subset of image feature points corresponding to the red wine;
the dynamic encryption and decryption unit is used for encrypting and generating an identification ciphertext according to a dynamic password formed by combining the moment of finishing the filling action of the red wine and the acquisition moment corresponding to the contrast frame image of the red wine;
the method is also used for decrypting the identification ciphertext corresponding to the red wine so as to obtain a dynamic password corresponding to the red wine;
the decoding unit is used for scanning and decoding the two-dimensional code to obtain an identification ciphertext corresponding to the two-dimensional code and an image characteristic point subset corresponding to the red wine;
the database is used for storing a comparison file packet corresponding to the red wine, wherein a comparison frame image corresponding to the red wine and another image characteristic point subset except for the image characteristic point subset for generating the two-dimensional code are stored in the comparison file packet;
the image feature point integrating unit is used for integrating the image feature point subset obtained by decoding by the decoding unit and the image feature subset in the database comparison file package to generate a combined image;
the controller is used for comparing the similarity between the combined image and the real image;
the real image is a frame image at the moment corresponding to the contrast frame image in the contrast video in the contrast file packet.
2. The intelligent red wine anti-counterfeiting system based on data analysis according to claim 1, wherein the anti-counterfeiting method of the anti-counterfeiting system comprises the following steps:
s1, acquiring videos of each bottle of red wine in production through a video acquisition unit, and marking the videos as comparison videos;
the video acquisition unit acquires videos including the red wine filling process;
s2, marking a bottle of red wine as target red wine, and obtaining the moment when the filling action of the target red wine is completed;
acquiring a frame of image from a comparison video of the target red wine and marking the frame of image as a comparison frame image of the target red wine, dividing an image characteristic point set of the comparison frame image into two image characteristic point subsets, and transmitting one image characteristic point subset to a database for storage;
acquiring the acquisition time corresponding to the contrast frame image of the target red wine;
combining the moment of finishing the filling action of the target red wine and the acquisition moment corresponding to the contrast frame image of the target red wine to form a dynamic password;
s3, encrypting the dynamic password of the target red wine through a dynamic encryption and decryption unit to generate an identification ciphertext;
integrating the identification ciphertext with one image feature point subset corresponding to the target red wine, and generating a corresponding two-dimensional code through a two-dimensional code generating unit;
printing the generated two-dimensional code on a label of the target red wine;
placing another image feature point subset corresponding to the target red wine and a comparison video corresponding to the target red wine in the same file package, and marking the file package as a comparison file package of the target red wine;
the comparison file package of the target red wine is named as the moment when the filling action of the target red wine is completed;
s4, marking a bottle of red wine which is required to be identified by a user as red wine to be diagnosed, firstly scanning a two-dimensional code on the red wine label to be diagnosed through a decoding unit, decoding the two-dimensional code by the decoding unit to obtain an identification ciphertext of the red wine to be diagnosed, and then transmitting the identification ciphertext to a dynamic encryption and decryption unit by the decoding unit;
the dynamic encryption and decryption unit decrypts the identification ciphertext to obtain a dynamic password corresponding to the red wine to be diagnosed, so as to obtain a time t1 of a filling action corresponding to the red wine to be diagnosed, a collection time t3 corresponding to a contrast frame image of the red wine to be diagnosed and an image characteristic point subset corresponding to the red wine to be diagnosed, and the image characteristic point subset is marked as a first set;
the controller obtains a comparison file packet corresponding to the red wine to be diagnosed from a database according to the time t1 corresponding to the red wine to be diagnosed for completing the filling action;
acquiring another image feature point subset of red wine to be diagnosed in the comparison file package, marking the image feature point subset as a second set, and integrating the first set and the second set through an image feature point integration unit to generate a combined image;
acquiring a frame image at a corresponding moment in a comparison video of a comparison file packet as a real image according to an acquisition moment t3 corresponding to the comparison frame image of the red wine to be diagnosed;
the controller compares the similarity between the combined image and the real image;
when the similarity alpha between the combined image and the real image is larger than alpha 1, the red wine to be diagnosed is considered as a genuine product;
when the similarity alpha between the combined image and the real image is less than or equal to alpha 1, the red wine to be diagnosed is considered as a fake product; α1 is a preset value.
3. The intelligent red wine anti-counterfeiting system based on data analysis according to claim 2, wherein the control video of the red wine is obtained by the following steps: the method comprises the steps of setting a first position mark point before a red wine filling process, setting a second position mark point after the red wine filling process, and carrying out video acquisition through a video acquisition unit in the red wine production process, wherein a video between the moment that a red wine bottle reaches the first position mark point and the moment that the red wine bottle reaches the second position mark point is used as a corresponding comparison video of the red wine bottle.
4. The intelligent red wine anti-counterfeiting system based on data analysis according to claim 2, wherein when two or more than two red wine bottles are filled simultaneously in the production process, the serial numbers of the target red wine in the two or more than two red wine bottles filled simultaneously are additionally obtained;
adding a serial number into the dynamic password;
and adding the serial number of the target red wine into the naming of the control file package of the target red wine.
CN202310626072.6A 2023-05-31 2023-05-31 Red wine intelligent anti-counterfeiting system based on data analysis Active CN116362773B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2976845A1 (en) * 2011-06-21 2012-12-28 Advanced Track & Trace Method for authenticating tag that is used to identify e.g. wine bottle, involves transmitting portion of read image to communicating mobile terminal and displaying portion of transmitted image superimposed on image recorded by terminal
CN107194703A (en) * 2017-05-19 2017-09-22 九寨沟天然葡萄酒业有限责任公司 A kind of anti-counterfeit wine system and method
CN109087114A (en) * 2018-08-01 2018-12-25 龙口盛福达食品有限公司 A kind of red wine packaging anti-counterfei waterprint intelligent measurement method for tracing
CN110009081A (en) * 2019-03-14 2019-07-12 北京印刷学院 Multi-code divides the complementary stealthy identification anti-counterfeit method of credentials of fragment
CN110633997A (en) * 2019-09-19 2019-12-31 师红 Red wine anti-counterfeiting traceability system based on Internet of things and block chain
EP3875285A1 (en) * 2020-03-06 2021-09-08 Agfa Nv Anti-counterfeiting packaging
CN115841309A (en) * 2022-12-27 2023-03-24 山东制创数字技术有限公司 Red wine production and processing management method, equipment and medium based on identification analysis

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2976845A1 (en) * 2011-06-21 2012-12-28 Advanced Track & Trace Method for authenticating tag that is used to identify e.g. wine bottle, involves transmitting portion of read image to communicating mobile terminal and displaying portion of transmitted image superimposed on image recorded by terminal
CN107194703A (en) * 2017-05-19 2017-09-22 九寨沟天然葡萄酒业有限责任公司 A kind of anti-counterfeit wine system and method
CN109087114A (en) * 2018-08-01 2018-12-25 龙口盛福达食品有限公司 A kind of red wine packaging anti-counterfei waterprint intelligent measurement method for tracing
CN110009081A (en) * 2019-03-14 2019-07-12 北京印刷学院 Multi-code divides the complementary stealthy identification anti-counterfeit method of credentials of fragment
CN110633997A (en) * 2019-09-19 2019-12-31 师红 Red wine anti-counterfeiting traceability system based on Internet of things and block chain
EP3875285A1 (en) * 2020-03-06 2021-09-08 Agfa Nv Anti-counterfeiting packaging
CN115841309A (en) * 2022-12-27 2023-03-24 山东制创数字技术有限公司 Red wine production and processing management method, equipment and medium based on identification analysis

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