CN111369261A

CN111369261A - Product tracing method and system and product tracing information processing method

Info

Publication number: CN111369261A
Application number: CN201811581758.3A
Authority: CN
Inventors: 罗文斌; 周虎成; 何崚
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2018-12-24
Filing date: 2018-12-24
Publication date: 2020-07-03

Abstract

The application discloses a product tracing method and system and a product tracing information processing method. Wherein, the method comprises the following steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product. The method and the system solve the technical problem that the product traceability system verifies the authenticity of the product in the related technology and is low in accuracy.

Description

Product tracing method and system and product tracing information processing method

Technical Field

The application relates to the field of data processing, in particular to a product traceability method and system and a product traceability information processing method.

Background

The supply chain industry often involves a number of entities, including logistics, money flows, information flows, etc., with a large number of complex collaborations and communications between these entities. In the traditional mode, different entities respectively store respective supply chain information, the transparency is seriously lacked, high time cost and money cost are caused, and once problems (faking, goods counterfeiting and the like) occur, the tracing and the processing are difficult.

In order to solve the above problems, the authenticity of the product may be verified through the product traceability system. The product traceability system realizes product quality traceability by inputting basic information in a production stage and tracking each node in the whole link of a supply chain. At present, a product traceability system generally uses a traceability label or a two-dimensional code and is attached to a product, and due to the easy copying property of the label and the two-dimensional code, if the product is changed in the transportation process or the product is partially lost or damaged in the transportation process, the traceability label (the attached label or the two-dimensional code) is consistent with the original product, and a consumer cannot really trace the source of the problem.

Aiming at the problem of low accuracy of verifying the authenticity of a product by a product traceability system in the related technology, an effective solution is not provided at present.

Disclosure of Invention

The embodiment of the application provides a product tracing method and system and a product tracing information processing method, which at least solve the technical problem that the product tracing system in the related technology has low accuracy in verifying the authenticity of a product.

According to an aspect of an embodiment of the present application, there is provided a product tracing method, including: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

According to another aspect of the embodiments of the present application, there is also provided a product tracing method, including: displaying a first image and identification information of a currently shot product; displaying traceability information of the product, wherein the traceability information is acquired from a service block chain based on identification information of the product, and comprises: collecting the image set of the product in a setting link of product circulation; and displaying a verification result of the product, wherein the verification result is obtained by matching the first image with at least one second image contained in the image set, and the verification result is used for representing the authenticity of the product.

According to another aspect of the embodiments of the present application, there is also provided a product tracing system, including: the acquisition device is used for acquiring a first image and identification information of a product shot at present; the service block chain is used for storing the traceability information of the product, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and the processing device is in communication relation with the acquisition device and the service block chain, and is used for acquiring the traceability information of the product based on the identification information of the product, and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to perform the following steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

According to another aspect of the embodiments of the present application, there is also provided a processor, configured to execute a program, where the program executes the following steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

According to another aspect of the embodiments of the present application, there is also provided a product tracing system, including: a processor; and a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

According to another aspect of the embodiments of the present application, there is also provided a product traceability information processing method, including: in a setting link of product circulation, acquiring an image set and identification information of a product; generating traceability information of the product based on the image set of the product; and storing the tracing information of the product and the identification information of the product into a service block chain.

In the embodiment of the application, after the first image and the identification information of the currently shot product are obtained, the traceability information of the product stored in the service block chain can be obtained based on the identification information of the product, and the first image is further matched with at least one second image contained in the image set to obtain a verification result for representing the authenticity of the product, so that the purpose of commodity traceability based on block chain and commodity image verification is realized. Compared with the prior art, the block chain technology and the commodity image verification technology can be integrated, a better commodity anti-counterfeiting traceability effect is achieved, the personnel cost is reduced, the verification accuracy is improved, the technical effect of commodity reliability is improved, and the technical problem that the accuracy of product traceability systems in the related technology for verifying the authenticity of products is low is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a block diagram of a hardware structure of a computer terminal (or a mobile device) for implementing a product tracing method according to an embodiment of the present application;

fig. 2 is a flowchart of a product tracing method according to embodiment 1 of the present application;

FIG. 3 is a schematic diagram of an alternative product tracing method according to an embodiment of the present application;

fig. 4 is a flowchart of a product tracing method according to embodiment 2 of the present application;

fig. 5 is a schematic view of a product authentication device according to embodiment 3 of the present application;

fig. 6 is a schematic view of a product authentication device according to embodiment 4 of the present application;

FIG. 7 is a schematic diagram of a product traceability system according to an embodiment of the present application;

FIG. 8 is a schematic diagram of another product traceability system according to an embodiment of the present application;

FIG. 9 is a flowchart of a method for processing product traceability information according to an embodiment of the present application; and

fig. 10 is a block diagram of a computer terminal according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

First, some terms or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:

block chains: the block chain is a chain data structure formed by connecting and combining data blocks according to a time sequence, and a distributed account book which is not falsifiable or counterfeitable is guaranteed in a cryptographic mode. The method has the core advantages of decentralization, and can realize point-to-point transaction, coordination and cooperation based on decentralization credit in a distributed system with nodes not needing mutual trust by means of data encryption, timestamps, distributed consensus, economic incentive and the like, thereby providing a solution for solving the problems of high cost, low efficiency, unsafe data storage and the like commonly existing in a centralization mechanism.

And (3) image recognition algorithm: may refer to techniques for processing, analyzing, and understanding images with a computer to identify various patterns of objects.

And (4) commodity image verification: an image algorithm for commodity identification and commodity similarity determination. Given a commodity photo, the commodity class can be identified; given the photos of the two groups of commodities, whether the commodities in the two groups of photos are the same commodities can be judged.

Tracing the source of the commodity: the whole process of commodity production, detection, sale and transportation until the commodity is delivered to a consumer is monitored and recorded, so that the source of the commodity can be checked, the destination can be traced, and the responsibility can be researched. Can help prevent counterfeiting, prevent channel conflict, promote consumer experience.

Example 1

In accordance with an embodiment of the present application, there is provided an embodiment of a product tracing method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.

The method provided by the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Fig. 1 shows a hardware structure block diagram of a computer terminal (or mobile device) for implementing a product tracing method. As shown in fig. 1, the computer terminal 10 (or mobile device 10) may include one or more (shown as 102a, 102b, … …, 102 n) processors 102 (the processors 102 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission device 106 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

It should be noted that the one or more processors 102 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal 10 (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).

The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the product tracing method in the embodiment of the present application, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the product tracing method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.

The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer terminal 10 (or mobile device).

It should be noted here that in some alternative embodiments, the computer device (or mobile device) shown in fig. 1 described above may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that fig. 1 is only one example of a particular specific example and is intended to illustrate the types of components that may be present in the computer device (or mobile device) described above.

It should be noted here that, in some embodiments, the computer device (or mobile device) shown in fig. 1 has a touch display (also referred to as a "touch screen" or "touch display screen"). In some embodiments, the computer device (or mobile device) shown in fig. 1 above has a Graphical User Interface (GUI) with which a user can interact by touching finger contacts and/or gestures on a touch-sensitive surface, where the human interaction functionality optionally includes the following interactions: executable instructions for creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, emailing, call interfacing, playing digital video, playing digital music, and/or web browsing, etc., for performing the above-described human-computer interaction functions, are configured/stored in one or more processor-executable computer program products or readable storage media.

Under the operating environment, the application provides a product tracing method as shown in fig. 2. Fig. 2 is a flowchart of a product tracing method according to embodiment 1 of the present application. As shown in fig. 2, the method comprises the steps of:

step S202, acquiring a first image and identification information of a currently shot product.

Specifically, the product may be a commodity purchased by a user, and the commodity is directly delivered to the user through a set link of product circulation such as production, detection, sale, transportation and the like. After the user receives the commodity, in order to verify that the commodity received by the user is the originally purchased commodity, that is, in order to perform the authenticity verification of the commodity, the user may take a picture of the received commodity to obtain the first image. The identification information of the product may be information that can uniquely identify the product, such as an order number and an ID of the product, and this is not particularly limited in this application.

In an alternative embodiment, after receiving the purchased goods, the user may take a picture of the goods through the user's mobile terminal (e.g., mobile phone) and upload the picture to the server to verify the authenticity of the goods. In another alternative embodiment, after receiving the purchased goods, the user may take a picture of the goods through the user's mobile terminal (e.g., mobile phone) and verify the authenticity of the goods through the APP carried by the user.

Step S204, based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: and (3) collecting the image set of the product in a setting link of product circulation.

In the commodity identification and verification system, a manufacturer (or an importer) inputs image information of commodities; the staff of every link can shoot the commodity image and type in the system in the commodity circulation, records the state of commodity to store commodity traceability information in the business block chain, specifically including the commodity circulation in-process, commodity from the producer, to the storage, control and sell, control commodity circulation transportation etc. and set for the commodity image of shooting in every link in the link.

In order to ensure the obtained commodity traceability information, the commodity images shot in all links can be stored in the business block chain, so that the possibility of manually tampering the commodity images is avoided. A transparent and reliable unified information platform can be obtained through the block chain, the state can be checked in real time, the logistics cost is reduced, the production of products is traced back, the whole process is conveyed, and therefore the efficiency of supply chain management is improved. Evidence and investigation become clearer and easier when disputes occur.

In an optional scheme, in order to enhance the trust of consumers on the commodity tracing information and ensure the authenticity of the commodity image acquired in each link, the URL address and the hash value of the commodity image may be recorded by using a blockchain.

It should be noted that, while uploading a photo of a commodity, a user also needs to upload an order number or an ID of the commodity, so as to ensure that the server can obtain the commodity tracing information of the commodity from the service block chain. Before the user verifies the authenticity of the commodity through the APP, the user also needs to input the order number or ID of the commodity in the APP to ensure that the APP can acquire the commodity tracing information of the commodity from the business block chain.

And S206, matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

In an optional embodiment, after obtaining the commodity photo uploaded by the user, the server may obtain commodity tracing information of the commodity from the service block chain according to an order number or an ID of the commodity, where the commodity tracing information includes at least one second image, and the authenticity of the commodity may be verified by matching the first image with each second image. If the first image is successfully matched with each second image, the commodity received by the user can be determined to be consistent with the commodity purchased by the user, namely the commodity received by the user is a real commodity and passes authenticity verification; if the first image and the plurality of second images are not successfully matched, the fact that the commodities received by the user are inconsistent with the commodities purchased by the user can be determined, namely the commodities received by the user are exchanged, or the commodities are partially lost or damaged and do not pass authenticity verification.

For example, a preferred embodiment of the present application is described in detail below with reference to fig. 3. As shown in fig. 3, each link in the supply chain of the commodity includes production, storage, sales, logistics, and the like, and after the goods arrive at each link, the commodity is photographed in an environment with sufficient light and in a simple image background, so that the photographed image is ensured to contain the main distinguishable features of the commodity, and the images photographed at different links are respectively recorded as an image a, an image B, an image C, an image D, and the like.

And in each link of the supply chain, storing the shot commodity images into an online storage service to obtain the URL of the images, calculating the hash value of each image by using a hash algorithm, and writing the URLs of all the commodity images and the corresponding hash values into the block chain at the same time to be used as the commodity tracing information record filed in the current link.

After receiving the commodity, the consumer shoots the commodity in an environment with sufficient light and a simple background to obtain a commodity image N, and the authenticity of the commodity is verified through an image recognition verification system. The system can read the commodity image URL and the corresponding hash value of each link of the whole supply chain in the block chain through the order number and the commodity ID of the commodity, and further download the commodity image A, the image B, the image C, the image D and the like through the URL. By matching the image N shot by the consumer with the downloaded image A, image B, image C, image D and the like, if the image N is successfully matched with all the images, the consumer can be prompted to pass the verification, and if not, the consumer is prompted to fail the verification, so that the commodities are inconsistent.

Based on the scheme provided by the embodiment of the application, after the first image and the identification information of the product which are shot at present are obtained, the traceability information of the product stored in the service block chain can be obtained based on the identification information of the product, the first image is further matched with at least one second image contained in the image set, the verification result for representing the authenticity of the product is obtained, and the purpose of commodity traceability based on the block chain and commodity image verification is achieved. Compared with the prior art, the block chain technology and the commodity image verification technology can be integrated, a better commodity anti-counterfeiting traceability effect is achieved, the personnel cost is reduced, the verification accuracy is improved, the technical effect of commodity reliability is improved, and the technical problem that the accuracy of product traceability systems in the related technology for verifying the authenticity of products is low is solved.

Optionally, in the foregoing embodiment of the present application, the image set includes: setting a second image corresponding to each link in the links, and step S206, matching the first image with at least one second image included in the image set to obtain a verification result of the product, including: matching the first image with a second image corresponding to each link; if the first image is successfully matched with the second image corresponding to each link, determining that the product verification is successful; and if the first image fails to be matched with the second image corresponding to the first link, determining that the product verification fails and generating first alarm information, wherein the first alarm information is used for prompting that the first link has risks.

Specifically, the plurality of links may be a plurality of links in a supply chain of the commodity, and each link is captured with a commodity image, that is, the second image.

In an alternative embodiment, after the consumer takes a picture of the commodity, the trust of quality and service can be increased by checking the commodity image recorded in each link. If the first image is successfully matched with the second image recorded in each link, the fact that the commodity has no problem in the whole supply chain can be determined, and the commodity has no problem and is consistent with the purchased commodity. If the first image is failed to be matched with the second image recorded in the first link, the fact that the commodity has a problem in the first link and the commodity has a problem or is different from an expected state can be determined, corresponding first warning information is generated to warn consumers, risks may exist in the link in the whole supply chain, and the commodity is inconsistent, so that the purpose of tracking which link in the whole supply chain has a problem is achieved.

For example, still taking fig. 3 as an example for explanation, after downloading the images a, B, C, D, etc. of the commodities through the URLs of the commodities, the image recognition and verification system matches the image N taken by the consumer with the downloaded images a, B, C, D, and if all the matches are successful, the commodity is determined to be consistent with the commodity purchased by the consumer, and the verification is passed; if the matching of the image N and the image B fails, a warning can be given to a consumer, and the warehousing link of the commodities has a risk, so that the commodities are inconsistent.

Optionally, in the above embodiment of the present application, the number of the first images is multiple, and the number of the second images corresponding to each link is multiple, where the shooting angle of each first image is different, and the shooting angle of each second image corresponding to each link is also different.

In an alternative embodiment, after the commodity reaches each link, the commodity is shot from multiple visual angles in a light-rich environment and in a simple image background, so that all distinguishable features in the commodity are contained in the shot image, and each group of at least three images is formed, namely the second image corresponding to each link is three. After receiving the commodity, the consumer photographs the commodity from different angles in an environment with sufficient light and in a simple background to obtain a group of actual commodity images, namely an image N, which specifically includes three images, namely a first image is three images.

Optionally, in the foregoing embodiment of the present application, matching the first image with the second image corresponding to each link includes: matching each first image with each second image corresponding to each link; if any one first image is successfully matched with any one second image corresponding to the second link, determining that the first image is successfully matched with the second image corresponding to the second link; and if the matching of each first image and each second image corresponding to the third link fails, determining that the matching of the first image and the second image corresponding to the third link fails.

In an optional embodiment, because the shooting angles are different, even for the same type of commodity, the shot photos are not completely consistent, and in order to realize the matching of the first image and the second image, for a plurality of first images X and a second image Y in any link, if a certain first image in X and a certain second image in Y can be successfully matched, two groups of X and Y photos can be considered to be successfully matched; if each first image in X and each second image in Y fail to match, then the X and Y sets of photographs may be considered to fail to match.

Optionally, in the above embodiment of the present application, in a case that matching between the first image and the second image corresponding to the first link fails, the method further includes the following steps: judging whether the first link is the last link in the set links; if the first link is not the last link, the target link is executed.

Specifically, the target link may be an exception handling process of the commodity, so as to prevent the exception commodity from reaching the hands of the consumer.

In an optional embodiment, after each link in the supply chain shoots a second image, the second image can also be matched with a second image stored in the service block chain before, an image algorithm is used for calculating the similarity between two groups of images, if the second image shot in the current link fails to be matched with the second image stored in a certain link before, the commodity can be determined to have a problem, and an abnormal processing flow is immediately entered.

For example, still taking fig. 3 as an example for explanation, after the image C of the commodity is captured in the sales link, the image C may be matched with the image a and the image B stored before, and if the image C fails to be matched with the image B, an exception handling process may be performed, and the commodity does not reach the hands of the consumers through logistics.

Optionally, in the foregoing embodiment of the present application, matching the first image with the second image corresponding to each link includes: and matching the first image with the second image corresponding to each link according to the execution sequence of each link.

Specifically, the execution order of each link may be a time order of uploading the second image to the service block chain.

In an alternative embodiment, after the second image captured by each link is acquired from the service blockchain, matching may be performed from front to back according to the time sequence of uploading the second image to the blockchain.

For example, still taking fig. 3 as an example for description, after downloading the images a, B, C, D, etc., the images N and B, C and D, etc. may be matched from front to back according to the time sequence of uploading the images a, B, C, D, etc. to the service block chain, that is, the images N and B are matched, the images N and C are further matched, and finally the images N and D are matched, so as to obtain the matching result.

Optionally, in the foregoing embodiment of the present application, in step S204, obtaining the traceability information of the product stored in the service block chain based on the identification information of the product includes: determining a block corresponding to a product in a service block chain based on the identification information of the product; acquiring a storage address of an image set stored in a block corresponding to a product; and acquiring at least one second image contained in the image set from the storage server based on the storage address of the image set.

Specifically, the storage address may be a URL of a commodity, and the storage server may be an online storage service.

In an alternative embodiment, the order number and the product ID of the product may be used to query the corresponding block of the product in the service block chain, and the URL of the product image in each link of the entire supply chain may be extracted from the block, and further the URL may be used to download the corresponding product image from the online storage service.

Optionally, in the above embodiment of the present application, while the storage address of the image set stored in the block corresponding to the product is obtained, the first hash value of each second image included in the image set is obtained from the block corresponding to the product.

In an alternative embodiment, after querying the corresponding block of the product in the service block chain through the order number and the product ID of the product, the product image URL and the corresponding hash value (i.e. the first hash value mentioned above) of each link of the entire supply chain may be extracted therefrom.

Optionally, in the foregoing embodiment of the present application, the method further includes the following steps: calculating a second hash value of each acquired second image; comparing the second hash value of each second image with the corresponding first hash value; and if the second hash value of any one second image is different from the corresponding first hash value, generating second alarm information, wherein the second alarm information is used for representing that any one second image stored in the storage server is tampered.

In an alternative embodiment, after the commodity image is downloaded from the online storage server, the same hash algorithm as that used in the previous storage may be used to calculate the hash value of the downloaded commodity image (i.e. the second hash value mentioned above) and compare the hash value with the hash value stored in the block chain (i.e. the first hash value mentioned above). If the hash values do not match, second alert information may be generated to alert the consumer that the merchandise image in the supply chain has been tampered with. And if the hash values are matched, saving the downloaded commodity image for further analysis.

According to the scheme, in the commodity identification and verification system based on the image, the manufacturer (or importer) inputs the image information of the commodity; shooting commodity images in each link in logistics, recording the commodity states by a recording system, performing anti-counterfeiting verification by using an image algorithm, and immediately entering an abnormal processing flow if a problem occurs; when a consumer receives the commodity, the commodity image can be photographed and uploaded to verify the authenticity of the commodity, and the trust on the quality of the commodity can be increased by checking the commodity image recorded in each link. If the consumer finds that the goods are inconsistent with the delivery conditions after receiving the goods, the consumer can track which link has problems. In order to ensure the credibility of the commodity image acquired in each link, the block chain is used for recording the URL address of the image and the hash value of the image, so that the possibility of manually tampering the image is avoided. By combining an image recognition and verification algorithm and a block chain commodity tracing technology, a better commodity anti-counterfeiting tracing effect can be achieved.

It should be noted that, in the embodiment of the present application, a common chain or a federation chain in the block chain technology may be used, and compared with a private chain, the maximum public trust can be generated, so as to better serve the purpose of tracing to the source of the commodity. The commodity image recognition and verification algorithm model can be trained in the system, and the commodity recognition and verification algorithm can be operated on a server, a personal computer or a mobile terminal, wherein the algorithm operated on the mobile terminal is more beneficial to consumers.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.

Example 2

There is also provided, in accordance with an embodiment of the present application, an embodiment of a method for product tracing, where it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.

Fig. 4 is a flowchart of a product tracing method according to embodiment 2 of the present application. As shown in fig. 4, the method includes the steps of:

step S402, displaying the first image and the identification information of the currently shot product.

Step S404, displaying the tracing information of the product, wherein the tracing information is obtained from the service block chain based on the identification information of the product, and the tracing information comprises: and (3) collecting the image set of the product in a setting link of product circulation.

Step S406, displaying a verification result of the product, wherein the verification result is obtained by matching the first image with at least one second image contained in the image set, and the verification result is used for representing the authenticity of the product.

Based on the scheme provided by the embodiment of the application, after the first image and the identification information of the currently shot product are obtained and displayed, the traceability information of the product stored in the service block chain can be obtained and displayed based on the identification information of the product, the first image is further matched with at least one second image contained in the image set, the verification result for representing the authenticity of the product is obtained and displayed, and the purpose of commodity traceability based on block chain and commodity image verification is achieved. Compared with the prior art, the block chain technology and the commodity image verification technology can be integrated, a better commodity anti-counterfeiting traceability effect is achieved, the personnel cost is reduced, the verification accuracy is improved, the technical effect of commodity reliability is improved, and the technical problem that the accuracy of product traceability systems in the related technology for verifying the authenticity of products is low is solved.

Optionally, in the foregoing embodiment of the present application, the verification result is obtained by matching the first image with the second image corresponding to each of the set links, where in a case that the matching between the first image and the second image corresponding to the first link fails, first warning information is displayed, and the first warning information is used to prompt that the first link has a risk.

Optionally, in the foregoing embodiment of the present application, the method further includes the following steps: displaying a storage address of the image set, wherein the storage address of the image set is acquired from a block corresponding to a product in a service block chain based on identification information of the product; and displaying at least one second image contained in the image set, wherein the at least one second image is stored in the storage server.

Optionally, in the foregoing embodiment of the present application, the method further includes the following steps: and displaying the first hash value of each second image contained in the image set, wherein the first hash value of each second image is stored in the block corresponding to the product.

Optionally, in the foregoing embodiment of the present application, the method further includes the following steps: and displaying second alarm information, wherein the second alarm information is generated under the condition that the second hash value of any one acquired second image is different from the corresponding first hash value, and the second alarm information is used for representing that any one second image stored in the storage server is tampered.

It should be noted that, for optional or preferred embodiments of this embodiment, reference may be made to the relevant description in embodiment 1, but the embodiments are not limited to the relevant description in embodiment 1, and are not described herein again.

Example 3

According to an embodiment of the present application, there is also provided a product verification apparatus for implementing the product tracing method, as shown in fig. 5, the apparatus 500 includes: a first acquisition module 502, a second acquisition module 504, and a matching module 506.

The first obtaining module 502 is configured to obtain a first image and identification information of a currently photographed product; the second obtaining module 504 is configured to obtain, based on the identification information of the product, source tracing information of the product stored in the service block chain, where the source tracing information includes: collecting the image set of the product in a setting link of product circulation; the matching module 506 is configured to match the first image with at least one second image included in the image set to obtain a verification result of the product, where the verification result is used to characterize the authenticity of the product.

It should be noted here that the first obtaining module 502, the second obtaining module 504 and the matching module 506 correspond to steps S202 to S206 in embodiment 1, and the three modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the above modules may be operated in the computer terminal 10 provided in embodiment 1 as a part of the apparatus.

Optionally, in the foregoing embodiment of the present application, the image set includes: setting a second image corresponding to each of the links, and the matching module 506 includes: the device comprises a matching submodule, a first determining submodule and a generating submodule.

The matching submodule is used for matching the first image with the second image corresponding to each link; the first determining submodule is used for determining that the product verification is successful if the first image is successfully matched with the second image corresponding to each link; the generation submodule is used for determining that the product verification fails if the first image is failed to be matched with a second image corresponding to the first link, and generating first alarm information, wherein the first alarm information is used for prompting that risks exist in the process of generating the first link.

Optionally, in the foregoing embodiment of the present application, the matching sub-module includes: the device comprises a matching unit, a first determining unit and a second determining unit.

The matching unit is used for matching each first image with each second image corresponding to each link; the first determining unit is used for determining that the first image is successfully matched with the second image corresponding to the second link if the first image is successfully matched with the second image corresponding to the second link; the second determining unit is used for determining that the first image and the second image corresponding to the third link fail to be matched if the first image and the second image corresponding to the third link fail to be matched.

Optionally, in the foregoing embodiment of the present application, the apparatus further includes: the device comprises a judging module and an executing module.

The judging module is used for judging whether the first link is the last link in the set links or not under the condition that the first image is failed to be matched with the second image corresponding to the first link; the execution module is to execute the target link if the first link is not the last link.

Optionally, in the foregoing embodiment of the present application, the matching sub-module is further configured to match the first image with the second image corresponding to each link according to the execution order of each link.

Optionally, in the foregoing embodiment of the present application, the second obtaining module includes: the device comprises a second determining submodule, a first obtaining submodule and a second obtaining submodule.

The second determining submodule is used for determining a block corresponding to a product in the service block chain based on the identification information of the product; the first obtaining submodule is used for obtaining a storage address of an image set stored in a block corresponding to a product; the second obtaining submodule is used for obtaining at least one second image contained in the image set from the storage server based on the storage address of the image set.

Optionally, in the above embodiment of the present application, the first obtaining sub-module is further configured to obtain, from the block corresponding to the product, a first hash value of each second image included in the image set while obtaining a storage address of the image set stored in the block corresponding to the product.

Optionally, in the foregoing embodiment of the present application, the apparatus further includes: the device comprises a calculation module, a comparison module and a generation module.

The calculating module is used for calculating a second hash value of each acquired second image; the comparison module is used for comparing the second hash value of each second image with the corresponding first hash value; the generation module is used for generating second alarm information if the second hash value of any second image is different from the corresponding first hash value, wherein the second alarm information is used for representing that any second image stored in the storage server is tampered.

Example 4

According to an embodiment of the present application, there is further provided a product verification apparatus for implementing the product tracing method, as shown in fig. 6, the apparatus 600 includes: a first display module 602, a second display module 604, and a third display module 606.

The first display module 602 is configured to display a first image and identification information of a currently photographed product; the second display module 604 is configured to display traceability information of a product, where the traceability information is obtained from a service block chain based on identification information of the product, and the traceability information includes: collecting the image set of the product in a setting link of product circulation; the third display module 606 is configured to display a verification result of the product, wherein the verification result is obtained by matching the first image with at least one second image included in the set of images, and the verification result is used to characterize the authenticity of the product.

It should be noted here that the first display module 602, the second display module 604, and the third display module 606 correspond to steps S402 to S406 in embodiment 2, and the three modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 2. It should be noted that the above modules may be operated in the computer terminal 10 provided in embodiment 2 as a part of the apparatus.

Optionally, in the foregoing embodiment of the present application, the apparatus further includes: a fourth display module and a fifth display module.

The fourth display module is used for displaying a storage address of the image set, wherein the storage address of the image set is acquired from a block corresponding to a product in the service block chain based on the identification information of the product; the fifth display module is used for displaying at least one second image contained in the image set, wherein the at least one second image is stored in the storage server.

Optionally, in the foregoing embodiment of the present application, the apparatus further includes: and a sixth display module.

The sixth display module is used for displaying the first hash value of each second image contained in the image set, wherein the first hash value of each second image is stored in the block corresponding to the product.

Optionally, in the foregoing embodiment of the present application, the apparatus further includes: and a seventh display module.

The seventh display module is configured to display second warning information, where the second warning information is generated when the second hash value of the acquired any one second image is different from the corresponding first hash value, and the second warning information is used to indicate that any one second image stored in the storage server is tampered.

It should be noted that, for alternative or preferred embodiments of this embodiment, reference may be made to the relevant descriptions in embodiments 1 and 2, but the embodiments are not limited to the relevant descriptions in embodiments 1 and 2, and are not described herein again.

Example 5

According to an embodiment of the present application, there is also provided a product tracing system, as shown in fig. 7, the system includes:

and the acquisition device 10 is used for acquiring a first image and identification information of a currently shot product.

Specifically, the product may be a commodity purchased by a user, and the commodity is directly delivered to the user through a set link of product circulation such as production, detection, sale, transportation and the like. After the user receives the commodity, in order to verify that the commodity received by the user is the originally purchased commodity, that is, in order to perform the authenticity verification of the commodity, the user may take a picture of the received commodity to obtain the first image. The identification information of the product may be information that can uniquely identify the product, such as an order number and an ID of the product, and this is not particularly limited in this application. The acquisition device may be a mobile terminal (including a smart phone, a PAD, a tablet computer, and a palm computer) of a user, a computer terminal (including a notebook computer and a personal computer), and the like, which is not specifically limited in this application.

A service block chain 20, configured to store traceability information of a product, where the traceability information includes: and (3) collecting the image set of the product in a setting link of product circulation.

The processing device 30, which has a communication relationship with the acquisition device and the service blockchain, is configured to obtain traceability information of the product based on identification information of the product, and match the first image with at least one second image included in the image set to obtain a verification result of the product, where the verification result is used to characterize authenticity of the product.

Specifically, the processing device may be an image recognition and verification system, and is operated on a mobile terminal or a server.

Optionally, in the foregoing embodiment of the present application, the image set includes: setting a second image corresponding to each link in the links, wherein the processing device is also used for matching the first image with the second image corresponding to each link; if the first image is successfully matched with the second image corresponding to each link, determining that the product verification is successful; and if the first image fails to be matched with the second image corresponding to the first link, determining that the product verification fails and generating first alarm information, wherein the first alarm information is used for prompting that the first link has risks.

Optionally, in the foregoing embodiment of the present application, the processing device is further configured to match each first image with each second image corresponding to each link; if any one first image is successfully matched with any one second image corresponding to the second link, determining that the first image is successfully matched with the second image corresponding to the second link; and if the matching of each first image and each second image corresponding to the third link fails, determining that the matching of the first image and the second image corresponding to the third link fails.

Optionally, in the foregoing embodiment of the present application, the processing device is further configured to determine whether the first link is a last link in the set link when matching between the first image and a second image corresponding to the first link fails; if the first link is not the last link, the target link is executed.

Optionally, in the foregoing embodiment of the present application, the processor is further configured to match the first image with the second image corresponding to each link according to the execution order of each link.

Optionally, in the foregoing embodiment of the present application, as shown in fig. 8, the system further includes:

and the storage server 40 is in communication relationship with the processing device and is used for storing at least one second image contained in the image set.

The processing device is further configured to determine a block corresponding to a product in the service block chain based on the identification information of the product, acquire a storage address of an image set stored in the block corresponding to the product, and acquire at least one second image included in the image set based on the storage address of the image set.

Optionally, in the above embodiment of the present application, the block corresponding to the product in the service block chain further stores the first hash value of each second image included in the image set.

Optionally, in the foregoing embodiment of the application, the processing device is further configured to calculate a second hash value of each obtained second image, compare the second hash value of each second image with the corresponding first hash value, and generate second alarm information if the second hash value of any one second image is different from the corresponding first hash value, where the second alarm information is used to indicate that any one second image stored in the storage server is tampered.

Example 6

According to an embodiment of the present application, there is also provided a product tracing system, including:

a processor. And

a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

Example 7

Fig. 9 is a flowchart of a product traceability information processing method according to an embodiment of the present application. As shown in fig. 9, the method includes the steps of:

step S902, in a setting link of product circulation, acquiring an image set and identification information of a product.

Step S904, generating traceability information of the product based on the image set of the product.

Step S906, storing the tracing information of the product and the identification information of the product into a service block chain.

According to the scheme provided by the embodiment of the application, in the setting link of product circulation, after the image set and the identification information of the product are obtained, the traceability information of the product can be generated based on the image set of the product, and the traceability information of the product and the identification information of the product are further stored in the service block chain, so that the authenticity of the product can be verified based on the traceability information of the product, and the purpose of commodity traceability based on the block chain and commodity image verification is realized. Compared with the prior art, the block chain technology and the commodity image verification technology can be integrated, a better commodity anti-counterfeiting traceability effect is achieved, the personnel cost is reduced, the verification accuracy is improved, the technical effect of commodity reliability is improved, and the technical problem that the accuracy of product traceability systems in the related technology for verifying the authenticity of products is low is solved.

Example 8

The embodiment of the application can provide a computer terminal, and the computer terminal can be any one computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced with a terminal device such as a mobile terminal.

Optionally, in this embodiment, the computer terminal may be located in at least one network device of a plurality of network devices of a computer network.

In this embodiment, the computer terminal may execute the program code of the following steps in the product tracing method: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

Optionally, fig. 10 is a block diagram of a computer terminal according to an embodiment of the present application. As shown in fig. 10, the computer terminal a may include: one or more processors 1002 (only one of which is shown), and memory 1004.

The memory may be configured to store a software program and a module, such as a program instruction/module corresponding to the product tracing method and apparatus in the embodiment of the present application, and the processor executes various functional applications and data processing by operating the software program and the module stored in the memory, so as to implement the product tracing method. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory remotely located from the processor, and these remote memories may be connected to terminal a through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

Optionally, the image set includes: setting a second image corresponding to each of the links, wherein the processor may further execute program codes of the following steps: matching the first image with a second image corresponding to each link; if the first image is successfully matched with the second image corresponding to each link, determining that the product verification is successful; and if the first image fails to be matched with the second image corresponding to the first link, determining that the product verification fails and generating first alarm information, wherein the first alarm information is used for prompting that the first link has risks.

Optionally, the number of the first images is multiple, and the number of the second images corresponding to each link is multiple, wherein the shooting angle of each first image is different, and the shooting angle of each second image corresponding to each link is also different.

Optionally, the processor may further execute the program code of the following steps: matching each first image with each second image corresponding to each link; if any one first image is successfully matched with any one second image corresponding to the second link, determining that the first image is successfully matched with the second image corresponding to the second link; and if the matching of each first image and each second image corresponding to the third link fails, determining that the matching of the first image and the second image corresponding to the third link fails.

Optionally, the processor may further execute the program code of the following steps: under the condition that the first image is not matched with a second image corresponding to the first link, judging whether the first link is the last link in the set links; if the first link is not the last link, the target link is executed.

Optionally, the processor may further execute the program code of the following steps: and matching the first image with the second image corresponding to each link according to the execution sequence of each link.

Optionally, the processor may further execute the program code of the following steps: determining a block corresponding to a product in a service block chain based on the identification information of the product; acquiring a storage address of an image set stored in a block corresponding to a product; and acquiring at least one second image contained in the image set from the storage server based on the storage address of the image set.

Optionally, the processor may further execute the program code of the following steps: and acquiring a storage address of an image set stored in a block corresponding to the product, and acquiring a first hash value of each second image contained in the image set from the block corresponding to the product.

Optionally, the processor may further execute the program code of the following steps: calculating a second hash value of each acquired second image; comparing the second hash value of each second image with the corresponding first hash value; and if the second hash value of any one second image is different from the corresponding first hash value, generating second alarm information, wherein the second alarm information is used for representing that any one second image stored in the storage server is tampered.

By adopting the embodiment of the application, after the first image and the identification information of the product which is shot at present are obtained, the traceability information of the product stored in the service block chain can be obtained based on the identification information of the product, and the first image is further matched with at least one second image contained in the image set to obtain the verification result for representing the authenticity of the product, so that the purpose of commodity traceability based on the block chain and commodity image verification is realized. Compared with the prior art, the block chain technology and the commodity image verification technology can be integrated, a better commodity anti-counterfeiting traceability effect is achieved, the personnel cost is reduced, the verification accuracy is improved, the technical effect of commodity reliability is improved, and the technical problem that the accuracy of product traceability systems in the related technology for verifying the authenticity of products is low is solved.

The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: displaying a first image and identification information of a currently shot product; displaying traceability information of the product, wherein the traceability information is acquired from a service block chain based on identification information of the product, and comprises: collecting the image set of the product in a setting link of product circulation; and displaying a verification result of the product, wherein the verification result is obtained by matching the first image with at least one second image contained in the image set, and the verification result is used for representing the authenticity of the product.

Optionally, the verification result is obtained by matching the first image with a second image corresponding to each link in the setting link, wherein, when the first image fails to match with the second image corresponding to the first link, the first warning information is displayed and used for prompting that the first link has a risk.

Optionally, the processor may further execute the program code of the following steps: displaying a storage address of the image set, wherein the storage address of the image set is acquired from a block corresponding to a product in a service block chain based on identification information of the product; and displaying at least one second image contained in the image set, wherein the at least one second image is stored in the storage server.

Optionally, the processor may further execute the program code of the following steps: and displaying the first hash value of each second image contained in the image set, wherein the first hash value of each second image is stored in the block corresponding to the product.

Optionally, the processor may further execute the program code of the following steps: and displaying second alarm information, wherein the second alarm information is generated under the condition that the second hash value of any one acquired second image is different from the corresponding first hash value, and the second alarm information is used for representing that any one second image stored in the storage server is tampered.

The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: in a setting link of product circulation, acquiring an image set and identification information of a product; generating traceability information of the product based on the image set of the product; and storing the tracing information of the product and the identification information of the product into a service block chain.

It can be understood by those skilled in the art that the structure shown in fig. 10 is only an illustration, and the computer terminal may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palmtop computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 10 is a diagram illustrating a structure of the electronic device. For example, the computer terminal a may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in fig. 10, or have a different configuration than shown in fig. 10.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

Example 9

Embodiments of the present application also provide a storage medium. Optionally, in this embodiment, the storage medium may be configured to store a program code executed by the product tracing method provided in the first embodiment.

Optionally, in this embodiment, the storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in the service block chain, wherein the traceability information comprises: collecting the image set of the product in a setting link of product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: displaying a first image and identification information of a currently shot product; displaying traceability information of the product, wherein the traceability information is acquired from a service block chain based on identification information of the product, and comprises: collecting the image set of the product in a setting link of product circulation; and displaying a verification result of the product, wherein the verification result is obtained by matching the first image with at least one second image contained in the image set, and the verification result is used for representing the authenticity of the product.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: in a setting link of product circulation, acquiring an image set and identification information of a product; generating traceability information of the product based on the image set of the product; and storing the tracing information of the product and the identification information of the product into a service block chain.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. A product tracing method, comprising:

acquiring a first image and identification information of a currently shot product;

based on the identification information of the product, obtaining the traceability information of the product stored in a service block chain, wherein the traceability information comprises: the image set of the product is collected in the setting link of the product circulation;

and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

2. The method of claim 1, wherein the set of images comprises: the setting of the second image corresponding to each link in the link, matching the first image with at least one second image included in the image set to obtain the verification result of the product, includes:

matching the first image with a second image corresponding to each link;

if the first image is successfully matched with the second image corresponding to each link, determining that the product verification is successful;

and if the first image fails to be matched with a second image corresponding to the first link, determining that the product verification fails, and generating first alarm information, wherein the first alarm information is used for prompting that the first link has risks.

3. The method according to claim 2, wherein the first images are a plurality of images, and the second image corresponding to each link is a plurality of images, wherein each first image has a different capture angle, and each second image corresponding to each link has a different capture angle.

4. The method of claim 3, wherein matching the first image with the second image corresponding to each link comprises:

matching each first image with each second image corresponding to each link;

if any first image is successfully matched with any second image corresponding to a second link, determining that the first image is successfully matched with the second image corresponding to the second link;

and if the matching of each first image and each second image corresponding to the third link fails, determining that the matching of the first image and the second image corresponding to the third link fails.

5. The method of claim 2, wherein in the event that the first image fails to match a second image corresponding to a first link, the method further comprises:

judging whether the first link is the last link in the set links;

executing a target link if the first link is not the last link.

6. The method of claim 2, wherein matching the first image with the second image corresponding to each link comprises:

and matching the first image with the second image corresponding to each link according to the execution sequence of each link.

7. The method of claim 1, wherein obtaining the traceability information of the product stored in a service blockchain based on the identification information of the product comprises:

determining a block corresponding to the product in the service block chain based on the identification information of the product;

acquiring a storage address of the image set stored in a block corresponding to the product;

and acquiring at least one second image contained in the image set from a storage server based on the storage address of the image set.

8. The method according to claim 7, wherein the first hash value of each second image included in the image set is obtained from the block corresponding to the product at the same time of obtaining the storage address of the image set stored in the block corresponding to the product.

9. The method of claim 8, wherein the method further comprises:

calculating a second hash value of each acquired second image;

comparing the second hash value of each second image with the corresponding first hash value;

and if the second hash value of any second image is different from the corresponding first hash value, generating second alarm information, wherein the second alarm information is used for representing that the any second image stored in the storage server is tampered.

10. A product tracing method, comprising:

displaying a first image and identification information of a currently shot product;

displaying traceability information of the product, wherein the traceability information is acquired from a service block chain based on identification information of the product, and the traceability information includes: the image set of the product is collected in the setting link of the product circulation;

displaying a verification result of the product, wherein the verification result is obtained by matching the first image with at least one second image contained in the image set, and the verification result is used for representing the authenticity of the product.

11. The method according to claim 10, wherein the verification result is obtained by matching the first image with a second image corresponding to each of the set links, and wherein, in case that the matching of the first image with the second image corresponding to the first link fails, first warning information is displayed, and the first warning information is used for prompting that the first link is at risk.

12. The method of claim 10, wherein the method further comprises:

displaying a storage address of the image set, wherein the storage address of the image set is acquired from a block corresponding to the product in the service block chain based on the identification information of the product;

and displaying at least one second image contained in the image set, wherein the at least one second image is stored in the storage server.

13. The method of claim 12, wherein the method further comprises:

displaying the first hash value of each second image contained in the image set, wherein the first hash value of each second image is stored in the block corresponding to the product.

14. The method of claim 13, wherein the method further comprises:

displaying second alarm information, wherein the second alarm information is generated under the condition that a second hash value of any one acquired second image is different from a corresponding first hash value, and the second alarm information is used for representing that the any one acquired second image stored in the storage server is tampered.

15. A product traceability system, comprising:

the acquisition device is used for acquiring a first image and identification information of a product shot at present;

a service block chain, configured to store traceability information of the product, where the traceability information includes: the image set of the product is collected in the setting link of the product circulation;

and the processing device is in communication relation with the acquisition device and the service block chain, and is used for acquiring the traceability information of the product based on the identification information of the product, and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

16. The system of claim 15, wherein the system further comprises:

and the storage server is in communication relationship with the processing device and is used for storing at least one second image contained in the image set.

17. A storage medium comprising a stored program, wherein the program, when executed, controls an apparatus on which the storage medium is located to perform the steps of: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in a service block chain, wherein the traceability information comprises: the image set of the product is collected in the setting link of the product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

18. A processor for running a program, wherein the program when run performs the steps of: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in a service block chain, wherein the traceability information comprises: the image set of the product is collected in the setting link of the product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

19. A product traceability system, comprising:

a processor; and

a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: acquiring a first image and identification information of a currently shot product; based on the identification information of the product, obtaining the traceability information of the product stored in a service block chain, wherein the traceability information comprises: the image set of the product is collected in the setting link of the product circulation; and matching the first image with at least one second image contained in the image set to obtain a verification result of the product, wherein the verification result is used for representing the authenticity of the product.

20. A product traceability information processing method comprises the following steps:

in a setting link of product circulation, acquiring an image set and identification information of a product;

generating traceability information of the product based on the image set of the product;

and storing the traceability information of the product and the identification information of the product into a service block chain.