Package anti-counterfeiting structure and detection method and system

Abstract

The invention discloses a package anti-counterfeiting structure and a detection method and system. The package anti-counterfeiting structure comprises a base material layer; the conductive pattern is printed on the base material layer and is provided with an identification area and a breakpoint which can be activated by human body contact; the two-dimensional code is printed on the base material layer through a variable data printing technology, and the two-dimensional code is a unique ID code of a product and is bound with a group of conductive patterns; when the capacitive touch screen of the verification equipment is in contact with the identification area and the human body is in contact with the breakpoint, the capacitance distribution of the capacitive touch screen can be changed. The detection method comprises the steps of equipment scanning, touch activation, data acquisition, feature comparison and result output. According to the scheme, the inseparability of physical characteristics and digital information is ensured through a conductive pattern and two-dimensional code two-factor binding technology; a genuine product and an abnormal product are judged according to the spatial distribution of the contact coordinate set data and the reference pattern feature data, the similarity of the relative distance and the angle and the matching threshold value, imitation only through direct reverse conductive patterns is avoided, and therefore the anti-counterfeiting safety of product packaging is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of packaging anti-counterfeiting, and in particular to a packaging anti-counterfeiting structure, a detection method and a system. Background Art

[0002] In the alcoholic beverage market, there are counterfeit and inferior products, which will disrupt the market order and harm the interests of consumers and legitimate businesses. In order to distinguish the genuine products, anti-counterfeiting measures are generally set on the product packaging.

[0003] Traditional packaging anti-counterfeiting measures, such as simple printed images and plain labels, have limited security and are easily counterfeited. Some have adopted one-to-one code technology, which improves product traceability and anti-counterfeiting capabilities to a certain extent, but still carries the risk of being cracked. Therefore, a more reliable and comprehensive anti-counterfeiting solution is needed to ensure the authenticity and security of product packaging. Summary of the Invention

[0004] The purpose of the present invention is to provide a packaging anti-counterfeiting structure, a detection method and a system, which can improve the security of product packaging anti-counterfeiting.

[0005] According to a first aspect of the present invention, a packaging anti-counterfeiting structure is provided, which includes: a substrate layer; a conductive pattern printed on the substrate layer and having an identification area and breakpoints that can be activated by human contact; a two-dimensional code printed on the substrate layer using variable data printing technology, wherein the two-dimensional code is a unique product ID code and is bound to a set of conductive patterns; when the capacitive touch screen of a verification device is brought into contact with the identification area and the breakpoints are touched by a human body, the capacitance distribution of the capacitive touch screen can be changed.

[0006] According to the packaging anti-counterfeiting structure, the conductive pattern is located on the surface of the substrate layer.

[0007] According to the packaging anti-counterfeiting structure, the verification device includes a mobile phone, a tablet computer, and a PDA.

[0008] According to a second aspect of the present invention, a detection method based on a packaging anti-counterfeiting structure is provided, comprising:

[0009] S1. Device scanning: Scan the QR code to obtain the breakpoint position information of the conductive pattern and the reference pattern feature data corresponding to the conductive pattern;

[0010] S2, touch activation: the capacitive touch screen of the verification device is touched to the recognition area, and the human body touches the breakpoint to change the capacitance distribution of the capacitive touch screen;

[0011] S3. Data collection: After the capacitance distribution of the capacitive touch screen changes, the verification device collects the touch point coordinate set data;

[0012] S4, feature comparison: calculating the similarity of the spatial distribution, relative distance and angle between the touch point coordinate set data and the reference pattern feature data;

[0013] S5. Result output: If the similarity is not less than the set threshold, an authentic product prompt message is output; otherwise, an abnormality prompt message is output; both the authentic product prompt message and the abnormality prompt message are output with the verification time and location recorded simultaneously;

[0014] The reference pattern feature data and the touch point coordinate set data both include relative positions and distances between touch points.

[0015] According to the detection method, the conductive pattern has at least three breakpoints, and when scanning the QR code, a breakpoint position and reference pattern feature data corresponding to the conductive pattern are randomly obtained.

[0016] According to the detection method, the topological features of the conductive pattern are matched with the QR code data in multiple dimensions; the topological features include the breakpoint position, the conductive loop shape, the relative position between the contacts, and the distance between the contacts.

[0017] According to the detection method, the conductive pattern is generated by a dynamic encryption algorithm, and the contact positions are randomly distributed to prevent reverse engineering.

[0018] According to a third aspect of the present invention, a detection system is provided, comprising a processor and a memory, wherein the memory stores a plurality of instructions; the processor loads instructions from the memory to execute the detection method.

[0019] Beneficial effects:

[0020] In the above solution, the dual-factor binding technology of conductive pattern and QR code is used to ensure the inseparability of physical features and digital information, increase the difficulty of counterfeiting, and thus improve the security of product packaging anti-counterfeiting;

[0021] The user's finger can act as a conductor to close the conductive pattern loop, changing the local capacitance distribution of the mobile phone screen and triggering the capacitance sensor to collect touch point coordinate data. Touching different breakpoints can generate different sets of collected touch point coordinate data, thereby improving the security of product packaging anti-counterfeiting.

[0022] Through the similarity of the spatial distribution, relative distance and angle between the contact coordinate set data and the reference pattern feature data, the matching threshold is used to determine whether it is a genuine product or an abnormal product, avoiding imitation by directly reversing the conductive pattern, thereby improving the security of product packaging anti-counterfeiting.

[0023] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention will be further described below with reference to the accompanying drawings and embodiments;

[0025] Figure 1 A schematic diagram of an embodiment of a packaging anti-counterfeiting structure;

[0026] Figure 2 A schematic diagram of the capacitive touch screen contact recognition area for verifying the device;

[0027] Figure 3 Schematic diagram of the touch point coordinate data collected by the verification device;

[0028] Figure 4 Flowchart of an embodiment of a detection method. DETAILED DESCRIPTION

[0029] This section will describe in detail the specific embodiments of the present invention. The preferred embodiments of the present invention are shown in the accompanying drawings. The purpose of the accompanying drawings is to supplement the description of the text part of the specification with graphics, so that people can intuitively and vividly understand each technical feature and the overall technical solution of the present invention, but it should not be understood as a limitation on the scope of protection of the present invention.

[0030] Reference Figure 1-3 The packaging anti-counterfeiting structure of an embodiment of the present invention includes a substrate layer, a conductive pattern and a QR code. The conductive pattern is printed on the substrate layer using conductive ink. The conductive pattern has an identification area for contacting a capacitive touch screen and a breakpoint that can be activated by human contact. The breakpoint can be a gap with a width of no more than 0.5 mm. The QR code is printed on the substrate layer using variable data printing technology. The QR code is a unique ID code for the product and is bound to a set of conductive patterns.

[0031] When the capacitive touch screen of the verification device is touched to the recognition area and the human body touches the breakpoint, the capacitance distribution of the capacitive touch screen can be changed, forming the effect of multiple fingers directly touching the capacitive touch screen. The touched contact point information (including the relative position and distance between the contacts) is detected and compared with the pre-stored data to determine the authenticity of the packaging anti-counterfeiting structure, thereby determining whether the packaged product is genuine.

[0032] In this embodiment, the verification device includes a mobile phone and other devices.

[0033] In this embodiment, the conductive pattern is located on the surface of the substrate layer so that the capacitive touch screen can contact the identification area.

[0034] Reference Figure 4 The detection method of the embodiment of the present invention, based on the above-mentioned packaging anti-counterfeiting structure, includes the following steps:

[0035] S1. Device Scan:

[0036] Scanning the QR code with a mobile phone or other verification device obtains the breakpoint location information of the conductive pattern and the reference pattern feature data corresponding to the conductive pattern for feature comparison. The breakpoint location information of the conductive pattern can be displayed on the capacitive touch screen so that the user can touch according to the instructions, while the reference pattern feature data may not be displayed.

[0037] S2. Touch activation:

[0038] The capacitive touch screen of the verification device is touched by a human body (such as a finger) at the breakpoint, thereby changing the capacitance distribution of the capacitive touch screen, creating an effect of multiple points of direct pressure on the capacitive touch screen by a finger;

[0039] S3. Data collection:

[0040] After the capacitance distribution of the capacitive touch screen changes, the verification device collects the touch point coordinate set data;

[0041] S4. Feature comparison:

[0042] Calculating the similarity of spatial distribution, relative distance and angle between the contact point coordinate set data and the reference pattern feature data;

[0043] S5. Result output:

[0044] When the similarity is not less than the set threshold, the authenticity prompt information is output; otherwise, the abnormal prompt information is output; when outputting the authenticity prompt information and the abnormal prompt information, the verification time and verification location are recorded synchronously.

[0045] In addition to mobile phones, the verification device can also be other devices with capacitive touch screens, such as tablet computers and PDAs. Both the reference pattern feature data and the touch point coordinate set data include the relative positions and distances between the touch points. In step S5, the threshold value is no less than 0.9. For example, during calculation, the threshold value can be set to 0.95.

[0046] In step S4, the calculation formulas for the similarity of spatial distribution, relative distance and angle are as follows:

[0047]

[0048] Where, d max is the maximum allowed distance threshold, x i and y i are the x-axis and y-axis coordinate values ​​of the contact center point in the reference pattern feature data, x' i and y' iThe x-axis and y-axis coordinate values ​​of the contact center point in the contact coordinate set data. When calculating, the center point of one contact corresponding to the conductive pattern in both the reference pattern feature data and the contact coordinate set data can be taken as the coordinate axis origin, and the coordinate values ​​of the remaining contacts can be calculated based on this.

[0049] This embodiment can provide two detection modes: online detection and offline detection:

[0050] For online detection, in step S1, the breakpoint location information of the conductive pattern and the reference pattern feature data can be stored on the server. After scanning the QR code, the data is downloaded from the server to the verification device. In step S3, the verification device collects the contact point coordinate set data and sends it to the server. In step S4, the server calculates the similarity.

[0051] For offline detection, in step S1, the breakpoint position information of the conductive pattern and the reference pattern feature data are pre-downloaded and stored in the verification device, and directly retrieved after scanning the QR code; in step S3, after the verification device collects the contact coordinate set data, it does not send it, but stores it in the verification device; in step S4, the similarity is calculated using the verification device itself.

[0052] The verification device may be equipped with built-in detection software, which provides a functional module for implementing the above detection method.

[0053] In this embodiment, the conductive pattern has at least three breakpoints. When scanning the QR code, a breakpoint position and the reference pattern feature data corresponding to the conductive pattern are randomly acquired. Touching different breakpoints can generate different sets of touch point coordinate data.

[0054] In this embodiment, the topological features of the conductive pattern are matched with the QR code data in multiple dimensions to ensure the inseparability of physical features and digital information, thereby improving anti-counterfeiting security. The topological features include the location of breakpoints, the shape of the conductive loop, the relative position of contacts, and the distance between contacts.

[0055] In this embodiment, the conductive pattern is generated by a dynamic encryption algorithm, and the dynamic encryption algorithm is used for random output, so that the positions of the contacts are randomly distributed to prevent reverse engineering.

[0056] In the above scheme, information such as the relative position and distance between the contacts is obtained. It is sufficient for the capacitive touch screen to cover the recognition area, and there is no need to align a specific position of the capacitive touch screen with the recognition area, thereby improving the convenience of detection and recognition operations.

[0057] The present invention also provides an embodiment of a detection system, including a processor and a memory, wherein the memory stores a plurality of instructions; the processor loads instructions from the memory to execute the above-mentioned detection method.

[0058] Although the above methods are illustrated and described as a series of actions for simplicity of explanation, it should be understood and appreciated that these methods are not limited by the order of the actions, because according to one or more embodiments, some actions may occur in different orders and / or concurrently with other actions from the diagrams and descriptions herein or not illustrated and described herein but understood by those skilled in the art. Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or a combination of the two. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Technicians can implement the described functionality in different ways for each specific application, but such implementation decisions should not be interpreted as resulting in a departure from the scope of the present invention. The various illustrative logic blocks, modules, and circuits described in conjunction with the embodiments disclosed herein may be implemented or executed using a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor so that the processor can read and write information from / to the storage medium. In an alternative embodiment, the storage medium may be integrated into the processor. The processor and storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative embodiment, the processor and storage medium may reside in the user terminal as discrete components. In one or more exemplary embodiments, the described functions may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted via a computer-readable medium as one or more instructions or code.Computer-readable media include both computer storage media and communication media, including any media that facilitates the transfer of a computer program from one place to another. Storage media can be any available media that can be accessed by a computer. As an example and not limitation, such computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer. Any connection is also properly referred to as a computer-readable medium. For example, if software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included in the definition of medium. As used herein, disk and disc include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, where disks typically reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0059] The embodiments of the present invention are described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Various changes can be made within the scope of knowledge possessed by ordinary technicians in the technical field without departing from the scope of the present invention.

Claims

1. The anti-counterfeiting structure of the packaging is characterized by: include: substrate layer; a conductive pattern printed on the substrate layer and having an identification area and breakpoints that can be activated by human body contact; A two-dimensional code is printed on the substrate layer using variable data printing technology, wherein the two-dimensional code is a unique ID code of the product and is bound to a set of conductive patterns; When the capacitive touch screen of the verification device touches the identification area and the human body touches the breakpoint, the capacitance distribution of the capacitive touch screen can be changed.

2. The packaging anti-counterfeiting structure according to claim 1, characterized in that: The conductive pattern is located on the surface of the substrate layer.

3. The packaging anti-counterfeiting structure according to claim 1 or 2, characterized in that: The verification devices include mobile phones, tablet computers, and PDAs.

4. A method for detecting a packaging anti-counterfeiting structure according to any one of claims 1 to 3, characterized in that: include: S1. Device Scan: Scan the QR code to obtain the breakpoint position information of the conductive pattern and the reference pattern feature data corresponding to the conductive pattern; S2. Touch activation: The capacitive touch screen contact recognition area of ​​the verification device is broken by human body contact, changing the capacitance distribution of the capacitive touch screen; S3. Data collection: After the capacitance distribution of the capacitive touch screen changes, the verification device collects the touch point coordinate set data; S4. Feature comparison: Calculating the similarity of spatial distribution, relative distance and angle between the contact point coordinate set data and the reference pattern feature data; S5. Result output: When the similarity is not less than the set threshold, the product will be output as a genuine product; otherwise, an abnormal product will be output as an abnormal product. The verification time and location will be recorded simultaneously when outputting both the genuine product and abnormal product information. The reference pattern feature data and the touch point coordinate set data both include relative positions and distances between touch points.

5. The detection method according to claim 4, characterized in that The conductive pattern has at least three breakpoints. When the QR code is scanned, a breakpoint position and reference pattern feature data corresponding to the conductive pattern are randomly acquired.

6. The detection method according to claim 4, characterized in that The topological features of the conductive pattern are compared with the QR code data in multiple dimensions; Topological features include the location of breakpoints, the shape of conductive loops, the relative positions of contacts, and the distances between contacts.

7. The detection method according to claim 4, characterized in that The conductive pattern is generated using a dynamic encryption algorithm, and the contact positions are randomly distributed to prevent reverse engineering.

8. The detection system is characterized in that The system comprises a processor and a memory, wherein the memory stores a plurality of instructions; the processor loads instructions from the memory to execute the detection method according to any one of claims 4 to 7.

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