Laser holographic dynamic anti-counterfeiting information generation method applied to product packaging

Abstract

The invention discloses a laser holographic dynamic anti-counterfeiting information generation method applied to product packaging, which comprises the following steps of: constructing an anti-counterfeiting primitive model library capable of dynamically deforming based on a packaging three-dimensional structure, and combining multi-scale decomposition and mechanical-optical coupling to ensure that information is complete during deformation; a chaotic encryption engine is constructed by using a three-dimensional Lorentz attractor and a quantum walking algorithm, a high-randomness key stream is generated to perform dual modulation on primitive parameters, and a packaging curved surface is matched through conformal transformation; a holographic interference field is constructed by adopting a dual-wavelength interference framework and dynamic light path compensation, and a laminated holographic structure is formed; through precise control and predictive compensation of laser energy, a micro-nano structure with gradient refractive index distribution is recorded on the surface of a package, and a dynamic visual effect is presented. And meanwhile, multi-dimensional verification mechanisms such as fluorescence red shift response and moire fringe detection are integrated, and dynamic updating of the primitive model library is realized by relying on a block chain and federated learning.

Description

Technical Field

[0001] This application relates to the technical field, and in particular to a method for generating laser holographic dynamic anti-counterfeiting information for product packaging. Background Technology

[0002] In the field of product packaging anti-counterfeiting, static anti-counterfeiting information is easily counterfeited by high-precision replication technology, and dynamic anti-counterfeiting effects lack continuous visual change characteristics; the anti-counterfeiting information has poor compatibility with the three-dimensional curved surface structure of the packaging, and the information is easily distorted due to packaging deformation; the encryption mechanism is not secure enough, the key sequence has weak randomness, and it is easy to be reverse-engineered; the micro-nano structure engraving accuracy is affected by the state of packaging movement, making it difficult to form a stable gradient refractive index distribution, resulting in low stability of anti-counterfeiting information recognition.

[0003] Existing solutions mostly employ fixed holographic patterns, simple digital encryption, or single laser engraving technology. Fixed holographic patterns lack dynamic features and are easily scanned and copied; digital encryption has low integration with physical packaging and poor optical presentation; single laser engraving is difficult to match the geometric characteristics of the packaging surface, and the encryption keys are mostly generated based on linear algorithms, lacking randomness and having weak anti-cracking capabilities; at the same time, the lack of real-time compensation for dynamic changes in the interference field during the engraving process leads to insufficient edge sharpness of the micro-nano structure, and the anti-counterfeiting information is easily rendered ineffective by environmental interference.

[0004] Therefore, it is urgent to construct a dynamically deformable anti-counterfeiting primitive model to achieve precise adaptation to the three-dimensional structure of the packaging; design a highly random encryption mechanism to enhance the anti-counterfeiting information's resistance to cracking; optimize the laser interference optical path and engraving control strategy to ensure high-precision engraving of the micro-nano structure on the dynamic packaging surface; and establish a multi-dimensional verification mechanism to achieve collaborative anti-counterfeiting between dynamic visual effects and encrypted information, thereby solving the problems of poor anti-counterfeiting effect, weak adaptability, and insufficient security in existing technologies. Summary of the Invention

[0005] This application provides a method for generating laser holographic dynamic anti-counterfeiting information for product packaging, in order to solve the above-mentioned problems.

[0006] On the one hand, this application provides a method for generating laser holographic dynamic anti-counterfeiting information for product packaging, the method comprising the following steps: Step S1: Based on the three-dimensional structural features of the target packaging, construct a dynamically deformable anti-counterfeiting primitive model library; each primitive model includes geometric shape parameters, optical refractive index gradient parameters, and spatial topological correlation parameters; Step S2: Input the user verification information into the chaotic encryption engine to generate a time-varying key sequence; modulate the geometric shape parameters and optical refractive index gradient parameters of the primitive model in real time according to the key sequence to form an encrypted anti-counterfeiting unit; match the encrypted anti-counterfeiting unit to the packaging surface coordinates through a non-uniform mapping algorithm; Step S3: Based on the optical properties of the packaging material, calculate the dynamic matching relationship between the laser wavelength and the incident angle; use a tunable laser to generate two coherent polarized beams, in which the signal beam carries the spatial phase information of the encrypted anti-counterfeiting unit, and the reference beam is loaded with a random phase mask; control the two beams to form interference fringes on the moving packaging surface, and the fringes undergo a preset optical deformation as the packaging moves; Step S4: The relative position of the holographic recording medium and the interference field is synchronously adjusted through the piezoelectric ceramic displacement platform; the energy density and focal depth of the femtosecond laser pulse are adjusted in real time according to the spatial frequency change of the interference fringes to engrave a micro-nano optical structure with a gradient refractive index distribution on the packaging surface; the structure presents a continuous dynamic visual effect at the set observation angle.

[0007] In one implementation of this application, step S1, the process of constructing a dynamically deformable anti-counterfeiting primitive model library, specifically includes: establishing a primitive database containing NURBS surface control points, photonic crystal lattice constants, and Bragg diffraction period parameters; dynamically adjusting the topological connection relationship of the primitive model based on the Gaussian curvature distribution of the packaging surface using a curvature-driven algorithm; decomposing the primitive model into a macroscopic geometric feature layer and a microscopic photonic structure layer using multi-scale decomposition technology; wherein the macroscopic geometric feature layer responds to mechanical deformation, and the microscopic photonic structure layer stores encrypted optical information; the two layers achieve mechanical-optical coupling through a biomimetic twisting algorithm to ensure that the anti-counterfeiting information is completely readable when the packaging is deformed.

[0008] In one implementation of this application, step S2, the construction of the chaotic encryption engine, includes: constructing a three-dimensional Lorentz attractor model and converting user verification information into initial condition parameters; generating a binary key stream by truncating chaotic orbits through a Poincaré section; enhancing key randomness using a quantum walk algorithm to make the Hamming distance between adjacent key bits greater than a preset threshold; and applying dual modulation to the anti-counterfeiting primitives using the key stream, specifically: controlling the vertex coordinate offset of the primitive model through the first half of the key sequence to generate geometric deformation; controlling the photonic crystal band structure through the second half of the key sequence to change the reflectivity distribution of a set wavelength; the non-uniform mapping algorithm uses conformal differential geometric transformation to maintain the corner point correspondence of the encryption unit on the curved surface.

[0009] In one implementation of this application, in step S3, the optical path optimization method for constructing the holographic interference field is as follows: an electronically controlled liquid crystal spatial light modulator is set in the signal optical path, and the complex amplitude information of the encrypted anti-counterfeiting unit is loaded; an acousto-optic deflector array is set in the reference optical path, and the Doppler frequency shift is compensated in real time according to the speed of the packaging movement; a dual-wavelength interference architecture is adopted, wherein the first preset wavelength laser records the geometric structure information, and the second preset wavelength laser records the photonic crystal parameters; the two wavelengths are alternately exposed through time-division multiplexing to form a stacked holographic structure on the recording medium; the random phase mask is generated by a computational holography algorithm, and its phase distribution function satisfies the power spectrum white noise characteristics.

[0010] In one implementation of this application, step S4, the precision control of micro / nano structure etching, specifically involves: establishing a mapping function between laser energy density E and etching depth d: d = k·ln(E / E th ), where E th The material ablation threshold is denoted by , and k is the material extinction coefficient compensation factor. By monitoring the contrast of interference fringes in real time, the repetition frequency and single pulse energy of the femtosecond laser are adjusted accordingly. A vortex phase plate is used to generate a ring-shaped focused spot, the diameter of which is matched with the spacing of the interference fringes. When the packaging surface moves, the focal position compensation is calculated in advance through a predictive control algorithm to ensure that the edge sharpness of the engraved structure is better than the preset sharpness threshold.

[0011] In one implementation of this application, the method further includes: coating a stimulus-responsive material layer onto the surface of the micro / nano structure after etching; the material layer generates a fluorescence redshift under a set wavelength excitation, the amount of which is positively correlated with the spatial frequency of the anti-counterfeiting unit; setting up a multispectral verification device, including a tunable excitation light source and a high-speed CMOS detector; during verification, the authenticity of the anti-counterfeiting information is determined by analyzing the trajectory of the fluorescence spectrum peak and the time correlation of the dynamic visual effect.

[0012] In one implementation of this application, the update mechanism of the primitive model library in step S1 is as follows: connect to the blockchain network to obtain the latest anti-counterfeiting coding rules; aggregate multi-node model update data through a federated learning framework to generate an anti-counterfeiting primitive variant library enhanced with adversarial examples; each primitive variant contains a verifiable digital fingerprint, which is generated by a lightweight hash operation from the primitive topology parameters and stored on an edge computing node.

[0013] In one implementation of this application, the method further includes: embedding a moiré fringe amplifier in the geometric deformation layer to generate parasitic fringes with doubled frequency when the replica is imaged; setting a defect-state resonant cavity in the photonic crystal layer, the resonant wavelength of which is bound to the thermal expansion coefficient of the packaging substrate material; and determining that the replica is detected by a verification device when the resonant wavelength offset exceeds a threshold.

[0014] In one implementation of this application, the decoding method of the stacked holographic structure is as follows: a wavelength-selective photopolymer is designed as the recording medium; the material forms a refractive index modulation layer after exposure at a first preset wavelength, and an absorption coefficient modulation layer after exposure at a second preset wavelength; during verification, geometric feature information and photonic crystal information are extracted by switching different wavelength reading light sources respectively; the spatiotemporal correlation of the two layers of information constitutes the core criterion for anti-counterfeiting verification.

[0015] On the other hand, this application also provides a laser holographic dynamic anti-counterfeiting information generation device for product packaging, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to complete the aforementioned laser holographic dynamic anti-counterfeiting information generation method for product packaging.

[0016] This application provides a method for generating laser holographic dynamic anti-counterfeiting information for product packaging, which has the following beneficial effects: (1) Achieve dynamic anti-counterfeiting effect and enhance anti-copying capability. By constructing a dynamic deformable anti-counterfeiting primitive model library, combined with the preset optical deformation generated by the laser interference stripes as the packaging moves, the anti-counterfeiting information presents a continuous dynamic visual effect at a set angle, solving the problem that static anti-counterfeiting is easy to copy and significantly increasing the difficulty of counterfeiting; (2) Enhance the adaptability of anti-counterfeiting information to packaging structure. Based on the three-dimensional structural features of the packaging, a primitive model is constructed. The coordinates of the packaging surface are matched by a non-uniform mapping algorithm. Combined with mechanical-optical coupling design, the anti-counterfeiting information is fully readable when the packaging is deformed, overcoming the defect of poor adaptability between traditional anti-counterfeiting information and curved packaging. (3) Enhance the security and anti-cracking capability of the encryption mechanism. A chaotic encryption engine is constructed using a three-dimensional Lorentz attractor, and the randomness of the key is enhanced by combining the quantum walk algorithm. High-security encryption is achieved through dual modulation primitive model parameters, which solves the problem of weak randomness of traditional encryption keys and easy reverse cracking. (4) Achieve multi-dimensional collaborative anti-counterfeiting and improve verification reliability. Integrate technologies such as dual-wavelength stacked holographic recording, fluorescence redshift response, and moiré fringe detection, and form multiple anti-counterfeiting barriers by judging the spatiotemporal correlation between geometric features and photonic crystal information, fluorescence spectral trajectory, etc., to improve verification accuracy; (5) Ensure the accuracy and stability of micro-nano structure etching. Establish the mapping relationship between laser energy and etching depth, and compensate for the influence of packaging movement through real-time monitoring and predictive control algorithms to ensure the edge sharpness of micro-nano structures, solve the structural distortion problem caused by packaging movement during dynamic etching, and ensure the stability of anti-counterfeiting information; (6) It has the ability to dynamically update and resist counterfeiting iteration. Relying on the blockchain to obtain the latest coding rules, it generates a library of anti-counterfeiting primitive variants through federated learning. Combined with digital fingerprint and defective resonant cavity design, it can quickly update the anti-counterfeiting model and accurately identify counterfeits, adapting to the continuous upgrading needs of anti-counterfeiting technology. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A flowchart illustrating a method for generating laser holographic dynamic anti-counterfeiting information for product packaging, as provided in this application embodiment; Figure 2 This is a schematic diagram of a laser holographic dynamic anti-counterfeiting information generation device for product packaging, provided as an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] This application provides a method for generating laser holographic dynamic anti-counterfeiting information for product packaging. The technical solution proposed in this application will be described in detail below with reference to the accompanying drawings.

[0020] Figure 1 This is a flowchart illustrating a method for generating laser holographic dynamic anti-counterfeiting information for product packaging, provided as an embodiment of this application. Figure 1 As shown, the method mainly includes the following steps: Step S1: Based on the three-dimensional structural features of the target packaging, construct a dynamically deformable anti-counterfeiting primitive model library; each primitive model includes geometric shape parameters, optical refractive index gradient parameters, and spatial topological correlation parameters.

[0021] Furthermore, the process of constructing a dynamically deformable anti-counterfeiting primitive model library specifically includes: First, establishing a primitive database containing multiple key parameters, where NURBS surface control points are used to accurately describe the three-dimensional morphological details of the packaging surface, ensuring that the primitive model can adapt to packaging surfaces with different curvatures; the photonic crystal lattice constant determines the optical response characteristics of the micro-nano structure, directly affecting the light reflection effect of anti-counterfeiting information; and the Bragg diffraction period parameter is related to the diffraction behavior of the set wavelength laser, providing a basis for dynamic optical effects.

[0022] Based on this, the Gaussian curvature distribution of the packaging surface—which can accurately reflect the curvature and change trend of each region of the surface—is used to dynamically adjust the topological connection relationship of the primitive model through the curvature-driven algorithm, so that the model can adaptively reorganize with the surface shape and avoid information distortion caused by surface irregularities.

[0023] Meanwhile, the primitive model is decomposed into two functional layers using multi-scale decomposition technology: the macroscopic geometric feature layer focuses on responding to the mechanical deformation of the packaging during handling and compression, and offsets the impact of external forces on the overall structure through shape adjustment; the microscopic spectral structure layer undertakes the storage function of encrypted optical information, and records core anti-counterfeiting data through nanoscale structural design.

[0024] To achieve collaborative operation of the two-layer structure, a biomimetic twisting algorithm is used to simulate the "structure-function" coupling mechanism in biological tissues. This allows the mechanical deformation of the macroscopic layer to be synchronously transmitted to the microscopic layer, while the optical information of the microscopic layer will not be broken or blurred due to macroscopic deformation. Ultimately, this ensures that the anti-counterfeiting information remains intact and readable when the packaging undergoes deformations such as stretching or bending.

[0025] Furthermore, the update mechanism of the primitive model library is as follows: it connects to the blockchain network to obtain the latest anti-counterfeiting coding rules. By leveraging the decentralized and tamper-proof characteristics of the blockchain, it ensures the security and transparency of the coding rule update process, avoids the risk of rule tampering under centralized management, and realizes real-time synchronization of the latest rules among all network nodes, ensuring the dynamic adaptation of the anti-counterfeiting system to the latest industry standards.

[0026] By aggregating multi-node model update data through a federated learning framework, each participating node can share only model parameter update information while preserving the original data privacy locally. This avoids the risk of data leakage and integrates anti-counterfeiting feature data from multiple scenarios. Based on this, an anti-counterfeiting primitive variant library enhanced with adversarial examples is generated. By simulating potential counterfeiting attack methods, the primitive variants are optimized, significantly improving the variant library's ability to resist new counterfeiting methods.

[0027] Each primitive variant contains a verifiable digital fingerprint, which is generated by a lightweight hash operation from the primitive topology parameters. This ensures the uniqueness and security of the fingerprint while reducing computational resource consumption. The fingerprint is stored on edge computing nodes, enabling localized and rapid verification of anti-counterfeiting information, reducing dependence on central servers, and improving verification efficiency and system response speed.

[0028] Step S2: Input the user verification information into the chaotic encryption engine to generate a time-varying key sequence; modulate the geometric shape parameters and optical refractive index gradient parameters of the primitive model in real time according to the key sequence to form an encrypted anti-counterfeiting unit; match the encrypted anti-counterfeiting unit to the packaging surface coordinates through a non-uniform mapping algorithm.

[0029] Furthermore, the construction of the chaotic encryption engine includes: building a three-dimensional Lorentz attractor model, utilizing its extreme sensitivity to initial conditions and chaotic dynamic characteristics to lay a nonlinear foundation for the encryption system; mapping user verification information (such as identity identifiers, dynamic verification codes, etc.) to the initial condition parameters of the model (including initial coordinates and system parameters) through a standardized transformation algorithm, ensuring that different user information corresponds to a unique chaotic evolution trajectory, thus guaranteeing encryption uniqueness from the source.

[0030] The continuous chaotic trajectory is discretized by using the Poincaré section technique. The intersection points of the trajectory and the preset section are extracted and converted into binary sequences to generate the initial binary key stream. This process takes advantage of the non-periodicity of chaotic motion to make the key stream naturally unpredictable, avoiding the periodicity defects of traditional linear encryption.

[0031] The initial key stream is randomized by employing a quantum walk algorithm. By leveraging the properties of quantum superposition and entanglement, the dimension of the key space is expanded, ensuring that the Hamming distance between adjacent key bits is consistently greater than a preset threshold. This design further reduces the risk of the key being cracked by statistical analysis by increasing the difference between adjacent bits, thereby enhancing the anti-attack capability.

[0032] The optimized key stream is used to perform dual modulation on the anti-counterfeiting primitives: the first half of the key sequence controls the vertex spatial offset of the primitive model through a coordinate transformation algorithm, causing the primitives to produce irregular geometric deformation; the second half of the key sequence changes the lattice arrangement of the photonic crystal through the bandgap modulation equation, thereby adjusting the reflectivity distribution of the set wavelength laser, forming a "geometric-optical" dual encryption barrier.

[0033] The non-uniform mapping algorithm employs conformal differential geometric transformation to achieve precise matching with the coordinates of the packaging surface while maintaining the local geometric features of the encryption unit (such as angles and shape proportions). This ensures that the correspondence between corner points remains unchanged and avoids distortion or loss of encryption information during the surface adaptation process.

[0034] Step S3: Based on the optical properties of the packaging material, calculate the dynamic matching relationship between the laser wavelength and the incident angle; use a tunable laser to generate two coherent polarized beams, in which the signal beam carries the spatial phase information of the encrypted anti-counterfeiting unit, and the reference beam is loaded with a random phase mask; control the two beams to form interference fringes on the moving packaging surface, and the fringes produce a preset optical deformation as the packaging moves.

[0035] Furthermore, the optical path optimization method for constructing the holographic interference field is as follows: an electrically controlled liquid crystal spatial light modulator is set in the signal optical path. This device can adjust the arrangement of liquid crystal molecules by voltage to achieve real-time modulation of the amplitude and phase of the optical field, thereby accurately loading the complex amplitude information of the encrypted anti-counterfeiting unit—including spatial phase distribution and light intensity distribution—ensuring that the anti-counterfeiting information carried by the signal light is complete and dynamically adjustable, adapting to the real-time change requirements of the encrypted unit.

[0036] The core principle of deploying an acousto-optic deflector array in the reference optical path is to utilize the diffraction effect of sound waves on light to change the propagation direction and frequency of light. When the packaging is in dynamic motion, the system collects motion parameters in real time through a speed sensor, driving each deflector in the array to work together to compensate for the Doppler frequency shift caused by relative motion in real time. This avoids phase difference disorder between the two coherent beams caused by the frequency shift, ensuring the stability and clarity of the interference fringes.

[0037] Information recording is achieved using a dual-wavelength interference architecture: the first preset wavelength laser, with its excellent geometric imaging characteristics in the recording medium, focuses on recording the macroscopic geometric structure information of the anti-counterfeiting elements, such as their outlines and topological connections; the second preset wavelength laser, due to its higher matching degree with the optical response of the photonic crystal, is specifically used to record the microscopic parameters of the photonic crystal, such as its lattice constant and refractive index gradient.

[0038] By controlling two laser beams to alternately expose using time-division multiplexing technology, the timing control module precisely schedules the wavelength switching, allowing different wavelengths to act in the same area of ​​the recording medium in a time-division manner. This ultimately forms a stacked holographic structure with independent and spatially related interlayer information, which not only improves information storage density but also avoids mutual interference between different types of information.

[0039] The random phase mask is generated by a computational holography algorithm. After Fourier transform, its phase distribution function exhibits uniformly distributed white noise characteristics in its power spectrum. This irregular phase modulation can significantly enhance the anti-copying ability of the hologram and prevent the direct acquisition of effective anti-counterfeiting information through optical scanning.

[0040] Furthermore, the decoding method for the stacked holographic structure is as follows: a wavelength-selective photopolymer is designed as the recording medium. This material has selective response characteristics to a set wavelength laser, enabling precise differentiation of exposure signals of different wavelengths. Specifically, after exposure with a first preset wavelength laser, a refractive index modulation layer is formed inside the material, specifically for recording the geometric structural details in the anti-counterfeiting information; after exposure with a second preset wavelength laser, an absorption coefficient modulation layer is formed, used to store the microscopic parameters of the photonic crystal.

[0041] During verification, switching between reading light sources that match the recording wavelength activates the corresponding modulation layers: the set wavelength light source excites the refractive index modulation layer to extract geometric feature information; the other wavelength light source activates the absorption coefficient modulation layer to obtain photonic crystal parameters. The correlation between the information in the two layers in terms of time series and spatial distribution constitutes the core criterion for anti-counterfeiting verification, significantly improving verification accuracy.

[0042] Step S4: The relative position of the holographic recording medium and the interference field is synchronously adjusted through the piezoelectric ceramic displacement platform; the energy density and focal depth of the femtosecond laser pulse are adjusted in real time according to the spatial frequency change of the interference fringes to engrave a micro-nano optical structure with a gradient refractive index distribution on the packaging surface; the structure presents a continuous dynamic visual effect at the set observation angle.

[0043] Furthermore, the precision control of micro / nano structure etching specifically involves establishing a mapping function d=k·ln(E / E) between the laser energy density E and the etching depth d. th ), where E th The ablation threshold of the packaging material represents the minimum energy density at which the material begins to undergo microstructural changes. k is the material extinction coefficient compensation factor, which is used to correct etching deviations caused by differences in the optical absorption characteristics of different materials. This function can precisely control the depth of the micro-nano structure to ensure that the etching size meets the design requirements.

[0044] The system tracks the contrast of interference fringes in real time. Changes in contrast directly reflect the stability of the interference field. Based on this, the system generates a feedback signal and dynamically adjusts the repetition frequency and single-pulse energy of the femtosecond laser to keep the energy density in the optimal range and avoid abnormal etching depth due to energy fluctuations.

[0045] A vortex phase plate is used to modulate the phase of the laser beam to generate a ring-shaped focused spot. The central dark spot can reduce additional ablation of non-target areas of the material, and the diameter of the dark spot is precisely matched with the spacing of the interference fringes, ensuring the spatial correspondence between the spot's effective range and the fringe structure, and improving the consistency of the etched structure.

[0046] When the packaging surface is in motion, the system uses a predictive control algorithm to calculate the focal position compensation amount in advance based on the motion trajectory, and drives the adjustment mechanism to correct the focal spatial coordinates in real time. This ensures that the focal point always accurately acts on the target position during the recording process, and ultimately makes the edge sharpness of the recorded structure consistently better than the preset threshold, ensuring that the anti-counterfeiting information is clearly identifiable.

[0047] Furthermore, the method further includes: uniformly coating a stimulus-responsive material layer onto the surface of the etched micro / nano optical structure. This material layer has predetermined photosensitivity characteristics, and will produce a significant fluorescence redshift phenomenon only under preset wavelength laser excitation—that is, the characteristic peak position of the fluorescence spectrum shifts towards longer wavelengths, and the peak position shift is strictly positively correlated with the spatial frequency of the anti-counterfeiting unit: the higher the spatial frequency (the denser the structure arrangement), the greater the redshift amplitude. This characteristic adds a unique optical response identifier to the anti-counterfeiting information.

[0048] The system is equipped with a multispectral verification device, which includes a tunable excitation source and a high-speed CMOS detector. The tunable source can accurately output a specific wavelength that matches the material response, enabling directional excitation of the fluorescence signal. The high-speed CMOS detector can quickly capture dynamic changes in the fluorescence spectrum, ensuring that millisecond-level peak shift details are captured.

[0049] During the verification process, the system achieves dual judgment by analyzing two aspects of information: first, whether the movement trajectory of the fluorescence spectrum peak is consistent with the spatial frequency distribution pattern of the anti-counterfeiting unit; and second, whether there is a strict correlation in the time dimension between the fluorescence change trajectory and the dynamic visual effect presented by the micro-nano structure. This collaborative verification mechanism significantly improves the accuracy of determining the authenticity of anti-counterfeiting information and enhances its anti-counterfeiting capabilities.

[0050] Furthermore, the verification process achieves accurate identification through a dual anti-counterfeiting mechanism: a moiré fringe amplifier is pre-embedded in the geometric deformation layer of the anti-counterfeiting structure. This amplifier utilizes the interference principle of the moiré effect. When imaging a genuine product, no abnormal fringes are generated due to the precise matching of the original structure; however, because a replica cannot completely replicate the microscopic precision of the original structure, the frequency multiplication effect of the amplifier is triggered during imaging, generating obvious parasitic fringes, which can be intuitively distinguished through optical detection.

[0051] In the photonic crystal layer, a defect-state resonant cavity is specially set up. The resonant wavelength of this cavity is rigidly bound to the thermal expansion coefficient of the packaging substrate material. That is, when the ambient temperature changes, the thermal expansion and contraction of the substrate material will synchronously change the physical dimensions of the resonant cavity, causing the resonant wavelength to shift according to a specific law. This correlation characteristic is the core reason why it is difficult to imitate.

[0052] The verification device monitors the resonant wavelength changes in real time through a spectral detection module, comparing the actual offset with a preset threshold. When the detected offset of the resonant wavelength exceeds the threshold, it indicates a difference between the substrate material or the resonant cavity structure and the genuine product, and the system determines it to be a counterfeit. These two mechanisms work synergistically to significantly improve the accuracy and anti-counterfeiting capabilities of the verification.

[0053] The above describes a method for generating laser holographic dynamic anti-counterfeiting information for product packaging, as provided in this application. Based on the same inventive concept, this application also provides a device for generating laser holographic dynamic anti-counterfeiting information for product packaging. Figure 2 A schematic diagram of a laser holographic dynamic anti-counterfeiting information generation device for product packaging, provided as an embodiment of this application, is shown below. Figure 2 As shown, the device mainly includes: at least one processor 201; and a memory 202 communicatively connected to the at least one processor; wherein the memory 202 stores instructions that can be executed by the at least one processor 201, and the instructions are executed by the at least one processor 201 to enable the at least one processor 201 to complete the aforementioned laser holographic dynamic anti-counterfeiting information generation method applied to product packaging.

[0054] The following is an example of an embodiment of this application in a specific scenario.

[0055] A high-end jewelry brand's gift box uses a special gold-stamped paper material, and the lid is an arc-shaped curved surface (6cm radius of curvature). It exhibits a 10% deformation rate when opened and closed, requiring solutions to problems such as counterfeit scanning and copying, and information distortion caused by deformation. The implementation process based on this patented method is as follows: When constructing the anti-counterfeiting primitive model library, 3D data of the gift box was collected, 120 NURBS surface control points were extracted to adapt to the curved lid, and the photonic crystal lattice constant was set to 420nm and the Bragg diffraction period to 320nm; based on the Gaussian curvature change (0-15) during opening and closing... The primitive is divided into a rigid planar region (unit size 1.5mm×1.5mm) and a flexible curved edge region (expandable mesh) by a curvature-driven algorithm, and then decomposed into a macroscopic dynamic pattern layer and a microscopic visual grating layer. The biomimetic twisting algorithm is used to couple the primitives to ensure the integrity of information when opening and closing.

[0056] In the chaotic encryption stage, the unique code "ZB20250912" of the gift box is input to generate the initial parameters of the Lorentz attractor. After quantum walk enhancement, a 1024-bit key stream is generated. The first half adjusts the macroscopic pattern to form a "starlight flow" dynamic effect. The second half changes the grating refractive index to dynamically change the reflectivity of the 532nm laser by ±18%. The surface is matched through conformal transformation, with an error ≤0.1mm.

[0057] In the holographic interference stage, alternating exposures at 635nm and 532nm wavelengths (time-division multiplexing at 500Hz) are employed. Encrypted information is loaded onto the signal optical path, and the reference optical path compensates for the Doppler frequency shift caused by the production line movement (2m / min) using an acousto-optic deflector, forming a 12μm stacked structure. During etching, the depth (1-2μm) is controlled based on the d=0.7×ln(E / 4.8) function, and a predictive algorithm compensates for focus shift, achieving an edge sharpness ≥88%.

[0058] During verification, the stimulus-responsive material on the box surface exhibits a fluorescence redshift under 532nm excitation (positively correlated with the grating frequency). Specialized equipment extracts dynamic patterns and spectral trajectories by switching wavelengths, thus determining authenticity in a dual manner. This effectively resists scanning and copying, adapts to opening and closing deformations, and achieves a verification accuracy of 100%.

[0059] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0060] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0061] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for generating laser holographic dynamic anti-counterfeiting information for product packaging, characterized in that, The method includes the following steps: Step S1: Based on the three-dimensional structural features of the target packaging, construct a dynamically deformable anti-counterfeiting primitive model library; each primitive model includes geometric shape parameters, optical refractive index gradient parameters, and spatial topological correlation parameters; Step S2: Input the user verification information into the chaotic encryption engine to generate a time-varying key sequence; modulate the geometric shape parameters and optical refractive index gradient parameters of the primitive model in real time according to the key sequence to form an encrypted anti-counterfeiting unit; match the encrypted anti-counterfeiting unit to the packaging surface coordinates through a non-uniform mapping algorithm; Step S3: Based on the optical properties of the packaging material, calculate the dynamic matching relationship between the laser wavelength and the incident angle; use a tunable laser to generate two coherent polarized beams, in which the signal beam carries the spatial phase information of the encrypted anti-counterfeiting unit, and the reference beam is loaded with a random phase mask; control the two beams to form interference fringes on the moving packaging surface, and the fringes undergo a preset optical deformation as the packaging moves; Step S4: The relative position of the holographic recording medium and the interference field is synchronously adjusted through the piezoelectric ceramic displacement platform; the energy density and focal depth of the femtosecond laser pulse are adjusted in real time according to the spatial frequency change of the interference fringes to engrave a micro-nano optical structure with a gradient refractive index distribution on the packaging surface; the structure presents a continuous dynamic visual effect at the set observation angle.

2. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, Step S1, the process of constructing a dynamically deformable anti-counterfeiting primitive model library, specifically includes: Establish a primitive database containing NURBS surface control points, photonic crystal lattice constants, and Bragg diffraction period parameters; Based on the Gaussian curvature distribution of the packaging surface, the topological connectivity of the primitive model is dynamically adjusted through a curvature-driven algorithm. The primitive model is decomposed into a macroscopic geometric feature layer and a microscopic spectral structure layer using multi-scale decomposition technology. The macroscopic geometric feature layer responds to mechanical deformation, while the microscopic spectral structure layer stores encrypted optical information. The two layers achieve mechanical-optical coupling through a biomimetic twisting algorithm, ensuring that the anti-counterfeiting information remains intact and readable when the packaging is deformed.

3. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, In step S2, the construction of the chaotic encryption engine includes: Construct a three-dimensional Lorentz attractor model to convert user verification information into initial condition parameters; A binary key stream is generated by extracting chaotic orbits through the Poincaré section; The quantum walk algorithm is used to enhance key randomness, making the Hamming distance between adjacent key bits greater than a preset threshold. The anti-counterfeiting primitives are subjected to dual modulation using the key stream. Specifically, the first half of the key sequence controls the vertex coordinate offset of the primitive model to generate geometric deformation. By controlling the band structure of the photonic crystal through the latter half of the key sequence, the reflectivity distribution of the set wavelength can be changed. The non-uniform mapping algorithm employs conformal differential geometric transformation to maintain the correspondence between corner points of the encryption unit on the curved surface.

4. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, In step S3, the optical path optimization method for constructing the holographic interference field is as follows: An electronically controlled liquid crystal spatial light modulator is set in the signal optical path to load the complex amplitude information of the encrypted anti-counterfeiting unit; An acousto-optic deflector array is set in the reference optical path to compensate for the Doppler frequency shift in real time according to the speed of the packaging movement. A dual-wavelength interference architecture is adopted, in which a first preset wavelength laser records geometric structure information and a second preset wavelength laser records photonic crystal parameters. Two wavelengths are alternately exposed via time-division multiplexing to form a stacked holographic structure on the recording medium; The random phase mask is generated by a computational holography algorithm, and its phase distribution function satisfies the power spectrum white noise characteristics.

5. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, In step S4, the precision control of micro / nano structure etching is specifically as follows: Establish a mapping function between laser energy density E and etching depth d: d = k·ln(E / E) th ), where E th is the ablation threshold of the material, and k is the material extinction coefficient compensation factor; By monitoring the contrast of interference fringes in real time, the repetition frequency and single pulse energy of the femtosecond laser are adjusted accordingly. A vortex phase plate is used to generate an annular focused spot, the diameter of which is matched with the spacing of the interference fringes. When the packaging surface moves, the focus position compensation amount is calculated in advance through a predictive control algorithm to ensure that the edge sharpness of the engraved structure is better than the preset sharpness threshold.

6. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, The method further includes: A stimulus-responsive material layer is coated onto the surface of the micro / nano structure after it has been etched. The material layer exhibits a fluorescence redshift when excited at a set wavelength, and the amount of this shift is positively correlated with the spatial frequency of the anti-counterfeiting unit. A multispectral verification device is set up, including a tunable excitation source and a high-speed CMOS detector; During verification, the authenticity of the anti-counterfeiting information is determined by analyzing the movement trajectory of the fluorescence spectrum peaks and the time correlation of the dynamic visual effects.

7. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, In step S1, the update mechanism of the primitive model library is as follows: Connect to the blockchain network to obtain the latest anti-counterfeiting coding rules; By aggregating multi-node model update data through a federated learning framework, an anti-counterfeiting primitive variant library with enhanced adversarial examples is generated. Each primitive variant contains a verifiable digital fingerprint, which is generated by a lightweight hash operation from the primitive topology parameters and stored on the edge computing node.

8. The method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 1, characterized in that, The method further includes: A moiré fringe amplifier is embedded in the geometrically deformed layer to generate parasitic fringes with doubled frequency when the replica is imaged. A defect-state resonant cavity is set in the photonic crystal layer, and its resonant wavelength is bound to the thermal expansion coefficient of the packaging substrate material; The verification device determines that the product is a replica when it detects that the resonant wavelength offset exceeds the threshold.

9. A method for generating laser holographic dynamic anti-counterfeiting information for product packaging according to claim 4, characterized in that, The decoding method for the stacked holographic structure is as follows: Design wavelength-selective photopolymers as recording media; The material forms a refractive index modulation layer after exposure at a first preset wavelength, and an absorption coefficient modulation layer after exposure at a second preset wavelength. During verification, different wavelengths of light sources are switched to extract geometric feature information and photonic crystal information respectively; the spatiotemporal correlation of the two layers of information constitutes the core criterion for anti-counterfeiting verification.

10. A laser holographic dynamic anti-counterfeiting information generation device for product packaging, characterized in that, include: At least one processor; And a memory communicatively connected to at least one processor; wherein the memory stores instructions executable by at least one processor, the instructions being executed by at least one processor to enable at least one processor to perform the laser holographic dynamic anti-counterfeiting information generation method for product packaging as described in any one of claims 1-9.

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