CN111080319A - AI image recognition-based object code binding authentication anti-counterfeiting method and system - Google Patents
AI image recognition-based object code binding authentication anti-counterfeiting method and system Download PDFInfo
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Abstract
The invention relates to the technical field of commodity anti-counterfeiting, and provides an AI image identification-based object code binding, identifying and anti-counterfeiting method and system, wherein the system comprises a server and an image acquisition terminal, and the method comprises the following steps: the server receives an object code image sent by the image acquisition terminal; the server extracts corresponding commodity characteristic information and tracing code information according to the object code image, and associates and binds the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and store the anti-counterfeiting data information in a database; and the server determines the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information. The invention realizes the quick binding of the traceability codes and the real commodities, avoids the disordered application of traceability code labels, improves the anti-counterfeiting performance of the traceability labels and greatly improves the working efficiency of object code binding.
Description
Technical Field
The invention relates to the technical field of commodity anti-counterfeiting, in particular to an AI image identification-based object code binding authentication anti-counterfeiting method and system.
Background
Judging the authenticity of the tracing information of the commodity is a hot spot of research in the field of food tracing. There are a variety of security labels and techniques available, such as: the RFID label, the two-dimensional code inner code and the outer code are anti-counterfeiting, and the like, but the anti-counterfeiting labels and anti-counterfeiting technologies are all anti-counterfeiting by using hardware such as paper, electronic tags and the like, and the label is easy to forge.
Aiming at the process from the mature picking (fishing) to the transportation and the transfer to the final selling of fresh food (agricultural products), the rhythm is very fast, the time is tight, the existing method for inputting traceability information and printing and manufacturing labels is not suitable, and the working efficiency is extremely low.
Disclosure of Invention
In order to solve the problems, the invention provides an AI image recognition-based object code binding authentication anti-counterfeiting method, system and computer storage medium.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides an AI image recognition-based object code binding authentication and anti-counterfeiting method, which comprises the following steps:
the method comprises the steps that a server receives an object code image sent by an image acquisition terminal, wherein the object code image comprises a commodity image area and a source tracing code label image area;
the server extracts corresponding commodity characteristic information and tracing code information according to the object code image, and associates and binds the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and store the anti-counterfeiting data information in a database;
and the server determines the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information.
According to a manner that can be realized by the first aspect of the present invention, the object code image is obtained by the image acquisition terminal shooting the commodity and the randomly generated traceability code label on the same shooting picture.
According to a manner that can be realized by the first aspect of the present invention, the source-tracing-code tag includes an RFID tag, a two-dimensional code tag, and/or a barcode tag.
According to a manner that can be realized by the first aspect of the present invention, the extracting, by the server, the corresponding commodity feature information and the source tracing code information according to the object code image includes:
the server carries out image recognition on the object code image to obtain a corresponding commodity characteristic area;
and the server extracts the commodity characteristic information of the commodity characteristic area.
According to one possible implementation manner of the first aspect of the present invention, the commodity feature information is commodity fingerprint information.
According to a manner that can be realized by the first aspect of the present invention, the determining, by the server, the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeit data information includes:
the server receives a commodity image to be verified sent by the mobile terminal;
the server extracts the commodity characteristic information of the commodity image to be verified, compares the commodity characteristic information of the commodity image to be verified with the anti-counterfeiting data information of the corresponding tracing source code label in the database, and determines the authenticity of the commodity to be verified according to the comparison result.
The invention provides an AI image recognition-based object code binding authentication anti-counterfeiting system, which comprises an image acquisition terminal and a server,
the image acquisition terminal is used for sending an object code image to the server, and the object code image comprises a commodity image area and a source tracing code label image area;
the server is used for extracting corresponding commodity characteristic information and tracing code information according to the object code image, and performing association binding on the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and store the anti-counterfeiting data information in a database;
and the server is also used for determining the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information.
According to a manner that can be realized by the second aspect of the present invention, the system further comprises a mobile terminal, wherein the mobile terminal is configured to send the image of the commodity to be verified to the server;
the server extracts the commodity characteristic information of the commodity image to be verified, compares the commodity characteristic information of the commodity image to be verified with the anti-counterfeiting data information of the corresponding tracing source code label in the database, and determines the authenticity of the commodity to be verified according to the comparison result.
According to a mode that can be realized in the second aspect of the present invention, the system further includes a traceability code query terminal, and the mobile terminal obtains the image of the commodity to be verified from the traceability code query terminal according to traceability code information on the commodity to be verified.
A third aspect of the invention provides a computer storage medium storing a computer program which, when executed by a processor, performs the steps of the method according to the first aspect of the invention.
The invention has the beneficial effects that: the invention realizes the quick binding of the traceability codes and the real commodities, combines the commodity characteristic information with the traceability codes, avoids the traceability code labels from being indiscriminately used, improves the anti-counterfeiting performance of the traceability labels and greatly improves the work efficiency of object code binding.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic flow chart illustrating an AI-image-recognition-based object-code-binding authentication and anti-counterfeiting method according to an exemplary embodiment of the invention;
fig. 2 is a schematic structural diagram of an AI image recognition-based object code binding authentication and anti-counterfeiting system according to an exemplary embodiment of the invention.
Reference numerals:
the system comprises an image acquisition terminal 1, a server 2 and a mobile terminal 3.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, an embodiment of a first aspect of the present invention provides an AI image recognition-based object code binding authentication and anti-counterfeiting method, including the following steps:
and S1, the server receives an object code image sent by the image acquisition terminal, wherein the object code image comprises a commodity image area and a source tracing code label image area. And the object code image is obtained by shooting the commodity and the randomly generated tracing code label in the same shooting picture by the image acquisition terminal. The generation mode of the tracing code label can be as follows: firstly, a batch of blank codes are generated, the generated blank codes are produced and manufactured into physical traceability labels, and traditionally, anti-counterfeiting labels such as paper, transfer printing, ink jet and the like are produced, so that the traceability labels are printed (or manufactured) and added into commodity packages.
S2, the server extracts corresponding commodity characteristic information and tracing code information according to the object code image, and associates and binds the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and stores the anti-counterfeiting data information in a database. The source tracing code label comprises an RFID label, a two-dimensional code label and/or a bar code label. In an implementation manner, the extracting, by the server, corresponding commodity feature information and source tracing code information according to the object code image includes:
the server carries out image recognition on the object code image to obtain a corresponding commodity characteristic area;
and the server extracts the commodity characteristic information of the commodity characteristic area.
Optionally, the commodity feature information is commodity fingerprint information. The commodity fingerprint information in the embodiment of the application refers to a commodity abstract capable of uniquely identifying a commodity. Each commodity can have commodity fingerprint information, and the commodity fingerprint information of different commodities is diverse, can distinguish different commodities through the commodity fingerprint information of commodity.
In the embodiment, the blank traceability codes and the real commodities can be quickly bound through an AI image recognition technology, the commodity characteristic information is added into the traceability codes, and the traceability codes are finally bound into complete and usable traceability codes.
S3, the server determines the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information.
In an implementation manner, the determining, by the server, the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeit data information includes:
the server receives a commodity image to be verified sent by the mobile terminal;
the server extracts the commodity characteristic information of the commodity image to be verified, compares the commodity characteristic information of the commodity image to be verified with the anti-counterfeiting data information of the corresponding tracing source code label in the database, and determines the authenticity of the commodity to be verified according to the comparison result.
The user can find the traceability code label on the commodity package, enter traceability code information into a specified website or terminal, and inquire traceability information corresponding to the traceability code. The user can shoot the photos of the commodities on the traceability report obtained by inquiry through the mobile terminal 3 and directly upload the photos to the server, so that the server can send credibility information of the report by extracting the photo information and comparing the information with commodity characteristic information carried by the traceability code, thereby realizing authentication and anti-counterfeiting of the commodities.
As shown in fig. 2, the second embodiment of the present invention provides an AI image recognition-based object code binding authentication and anti-counterfeiting system, which includes an image capturing terminal 1 and a server 2,
the image acquisition terminal 1 is used for sending an object code image to the server 2, wherein the object code image comprises a commodity image area and a source tracing code label image area;
the server 2 is used for extracting corresponding commodity characteristic information and tracing code information according to the object code image, and performing association binding on the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and store the anti-counterfeiting data information in a database;
the server 2 is further configured to determine authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information.
Further, the system can also comprise a mobile terminal 3, wherein the mobile terminal 3 is used for sending the commodity image to be verified to the server 2; the server 2 extracts the commodity characteristic information of the commodity image to be verified, compares the commodity characteristic information of the commodity image to be verified with the anti-counterfeiting data information of the corresponding tracing source code label in the database, and determines the authenticity of the commodity to be verified according to the comparison result. Further, the system further comprises a traceability code query terminal, and the mobile terminal 3 acquires the to-be-verified commodity image from the traceability code query terminal according to traceability code information on the to-be-verified commodity. The user can find the traceability codes on the commodity package and input the traceability codes into the traceability code query terminal, so that traceability information corresponding to the traceability codes is queried, and a traceability report is obtained. The user can shoot the commodity to be verified on the traceability report through the mobile terminal 3, so that an image of the commodity to be verified is obtained and is uploaded to the server 2. The mobile terminal 3 may be one of a mobile phone, a computer and/or a tablet.
An embodiment of the third aspect of the present invention provides a computer storage medium storing a computer program which, when executed by a processor, performs the steps of the method according to the first aspect of the present invention.
According to the embodiment of the invention, the traceability codes and the real commodities are quickly bound, the commodity characteristic information is combined with the traceability codes, the traceability code labels are prevented from being used in a mess, the anti-counterfeiting performance of the traceability labels is improved, and the work efficiency of binding the object codes is greatly improved.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. An AI image recognition-based object code binding authentication and anti-counterfeiting method is characterized by comprising the following steps:
the method comprises the steps that a server receives an object code image sent by an image acquisition terminal, wherein the object code image comprises a commodity image area and a source tracing code label image area;
the server extracts corresponding commodity characteristic information and tracing code information according to the object code image, and associates and binds the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and store the anti-counterfeiting data information in a database;
and the server determines the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information.
2. The AI image recognition-based object code binding authentication anti-counterfeiting method according to claim 1, wherein the object code image is obtained by the image acquisition terminal by shooting a commodity and a randomly generated traceability code label on the same shooting picture.
3. The AI image recognition-based object code binding authentication anti-counterfeiting method according to claim 2, wherein the traceability code label comprises an RFID label, a two-dimensional code label and/or a bar code label.
4. The AI image recognition-based object code binding authentication and anti-counterfeiting method according to claim 1, wherein the server extracts corresponding commodity feature information and source tracing code information according to the object code image, comprising:
the server carries out image recognition on the object code image to obtain a corresponding commodity characteristic area;
and the server extracts the commodity characteristic information of the commodity characteristic area.
5. The AI image recognition-based object code binding authentication anti-counterfeiting method according to claim 4, wherein the commodity characteristic information is commodity fingerprint information.
6. The AI-image-recognition-based object code binding authentication and anti-counterfeiting method according to claim 1, wherein the server determines the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information, comprising:
the server receives a commodity image to be verified sent by the mobile terminal;
the server extracts the commodity characteristic information of the commodity image to be verified, compares the commodity characteristic information of the commodity image to be verified with the anti-counterfeiting data information of the corresponding tracing source code label in the database, and determines the authenticity of the commodity to be verified according to the comparison result.
7. An AI image recognition-based object code binding, authentication and anti-counterfeiting system is characterized by comprising an image acquisition terminal and a server,
the image acquisition terminal is used for sending an object code image to the server, and the object code image comprises a commodity image area and a source tracing code label image area;
the server is used for extracting corresponding commodity characteristic information and tracing code information according to the object code image, and performing association binding on the commodity characteristic information and the tracing code information to form anti-counterfeiting data information of corresponding commodities and store the anti-counterfeiting data information in a database;
and the server is also used for determining the authenticity of the commodity to be verified according to the data information of the commodity to be verified and the corresponding anti-counterfeiting data information.
8. The AI image recognition based object code binding authentication anti-counterfeiting system according to claim 7, further comprising a mobile terminal for sending an image of the commodity to be verified to the server;
the server extracts the commodity characteristic information of the commodity image to be verified, compares the commodity characteristic information of the commodity image to be verified with the anti-counterfeiting data information of the corresponding tracing source code label in the database, and determines the authenticity of the commodity to be verified according to the comparison result.
9. The AI image recognition-based object code binding authentication anti-counterfeiting system according to claim 8, further comprising a traceability code query terminal, wherein the mobile terminal obtains the image of the commodity to be verified from the traceability code query terminal according to traceability code information on the commodity to be verified.
10. A computer storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the method according to any of claims 1-6.
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| CN201911321079.7A CN111080319A (en) | 2019-12-19 | 2019-12-19 | AI image recognition-based object code binding authentication anti-counterfeiting method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111680770A (en) * | 2020-05-30 | 2020-09-18 | 广州怡成软件开发有限责任公司 | Information processing method and system based on anti-counterfeiting software |
| CN112734444A (en) * | 2020-12-30 | 2021-04-30 | 湖南工学院 | Anti-counterfeiting method and system for high-quality agricultural products |
| CN113592515A (en) * | 2021-08-03 | 2021-11-02 | 北京沃东天骏信息技术有限公司 | Method, system and device for identifying authenticity of article |
| CN116911883A (en) * | 2023-09-14 | 2023-10-20 | 新立讯科技股份有限公司 | Agricultural product anti-counterfeiting tracing method and cloud platform based on AI (advanced technology) authentication technology and tracing quantification |
-
2019
- 2019-12-19 CN CN201911321079.7A patent/CN111080319A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111680770A (en) * | 2020-05-30 | 2020-09-18 | 广州怡成软件开发有限责任公司 | Information processing method and system based on anti-counterfeiting software |
| CN112734444A (en) * | 2020-12-30 | 2021-04-30 | 湖南工学院 | Anti-counterfeiting method and system for high-quality agricultural products |
| CN113592515A (en) * | 2021-08-03 | 2021-11-02 | 北京沃东天骏信息技术有限公司 | Method, system and device for identifying authenticity of article |
| CN116911883A (en) * | 2023-09-14 | 2023-10-20 | 新立讯科技股份有限公司 | Agricultural product anti-counterfeiting tracing method and cloud platform based on AI (advanced technology) authentication technology and tracing quantification |
| CN116911883B (en) * | 2023-09-14 | 2023-12-19 | 新立讯科技股份有限公司 | Agricultural product anti-counterfeiting tracing method and cloud platform based on AI (advanced technology) authentication technology and tracing quantification |
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