Quantum dot-based anti-counterfeiting detection method and anti-counterfeiting detection device
Through anti-counterfeiting detection methods and equipment based on quantum dots, the problem of inaccurate detection of target objects cannot be accurately detected under the influence of environmental factors in the prior art, and higher detection accuracy and lower misjudgment rate are achieved.
Patent Information
- Application Number
- CN202411098106.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-12
- Publication Date
- 2025-04-18
- Estimated Expiration
- 2044-08-12
AI Technical Summary
The existing anti-counterfeiting detection equipment cannot accurately detect the authenticity of the target object under the influence of environmental factors, and cannot adjust the parameters of the detection equipment based on environmental parameters.
The anti-counterfeiting detection method and equipment based on quantum dots is adopted, and the anti-counterfeiting mark is irradiated through the central control module, the anti-counterfeiting mark is excited to generate fluorescence, collect and preprocess fluorescence information, perform similarity comparison, and determine the authenticity of the target item based on the comparison results. If the preliminary determination is that the similarity does not meet the standards, adjust the preset parameters in each module based on the parameters of the quantum dots to improve the detection accuracy.
The determination accuracy of anti-counterfeiting detection of target objects is improved, the possibility of misjudgment is reduced, and the interference of environmental factors on the judgment results is eliminated, and the determination accuracy of anti-counterfeiting detection is further improved.
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Figure CN118883518B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of anti-counterfeiting detection, and in particular to an anti-counterfeiting detection method and anti-counterfeiting detection equipment based on quantum dots. Background Art
[0002] Quantum dots are tiny semiconductor structures, usually at the nanometer level. By applying a certain electric field or light pressure to this nano-semiconductor material, they will emit light of a specific frequency. The frequency of the emitted light will change with the size of the semiconductor. Therefore, by adjusting the size of the nano-semiconductor, the color of the light it emits can be controlled. Based on this property, quantum dots have great potential in many fields.
[0003] Chinese patent publication number: CN115083063A discloses an anti-counterfeiting detection device and its working method, which can collect image feature information under specific wavelength illumination, send it to the CPU processor for image recognition processing, and compare and calculate the image information of the object to be tested with the standard image information, so as to determine the authenticity of the object to be tested and identify some specific image information;
[0004] It can be seen that the anti-counterfeiting detection device and the working method thereof have the following problems: under the influence of environmental factors, the authenticity of the target object cannot be accurately detected, and the parameters of the detection device cannot be adjusted according to the environmental parameters. Summary of the invention
[0005] To this end, the present invention provides an anti-counterfeiting detection method and an anti-counterfeiting detection device based on quantum dots to overcome the problem of environmental interference that cannot be overcome in the prior art.
[0006] To achieve the above object, the present invention provides an anti-counterfeiting detection method and anti-counterfeiting detection device based on quantum dots, comprising:
[0007] Step S1, placing the target object to be tested for anti-counterfeiting into the excitation device, and the central control module controls the LED light source to illuminate the anti-counterfeiting mark to excite the quantum dots to produce fluorescence;
[0008] Step S2, the central control module controls the collection module to collect the fluorescence emitted by the anti-counterfeiting mark;
[0009] Step S3, the central control module controls the processing module to pre-process the information collected by the collection module to form a recognition pattern;
[0010] Step S4, the central control module performs a similarity comparison between the pre-processed recognition pattern and a preset standard pattern in the central control module, and determines whether the target item is authentic according to the comparison result;
[0011] Step S5, when the central control module preliminarily determines that the obtained similarity does not meet the standard, the central control module adjusts the preset parameters in each module based on the parameters of the quantum dots.
[0012] Further, the central control module compares the pre-processed recognition pattern with a preset standard pattern corresponding to an authentic product in the central control module and calculates the similarity between the recognition pattern and the preset standard pattern. When the central control module determines that the obtained similarity meets the standard, it detects whether the target object is an authentic product based on the luminous frequency of each quantum dot; when the central control module preliminarily determines that the obtained similarity does not meet the standard, it determines the pre-processing parameters of the processing module for the collected information based on the clarity of the contour of the recognition pattern, and recalculates the similarity between the recognition pattern processed by the determined pre-processing parameters and the preset standard pattern; when the central control module further determines that the obtained similarity does not meet the standard, it determines that the target object is a non-authentic product;
[0013] The similarity is the size of the overlapping area between the preprocessed pattern and the preset standard pattern.
[0014] Furthermore, when determining that the obtained similarity meets the standard, the central control module sequentially collects the luminescence frequency of each quantum dot in the recognition pattern, and marks each quantum dot based on the luminescence frequency of each quantum dot. For a single quantum dot:
[0015] If the luminous frequency of the quantum dot is greater than the first luminous frequency preset in the central control module, the central control module determines that the quantum dot is unqualified and marks it as a third-level point;
[0016] If the light emission frequency of the quantum dot is less than or equal to the first light emission frequency and greater than the second light emission frequency preset in the central control module, the central control module determines that the quantum dot is qualified and marks it as a first-level point;
[0017] If the light emission frequency of the quantum dot is less than or equal to the second light emission frequency and greater than the third light emission frequency preset in the central control module, the central control module preliminarily determines that the quantum dot is unqualified and marks it as a secondary point;
[0018] If the luminous frequency of the quantum dot is less than or equal to the third luminous frequency, the central control module determines that the quantum dot is unqualified and marks it as a third-level dot.
[0019] Furthermore, after the central control module completes the marking of each quantum dot, it counts the ratio of the number of quantum dots of each level to the total number of quantum dots to determine whether the target item is authentic:
[0020] If the ratio of the number of the first-level points to the total number of quantum dots is the largest, the central control module determines that the target object is authentic;
[0021] If the ratio of the number of the secondary points to the total number of quantum dots is the largest, the central control module preliminarily determines that the environmental parameters of the target object interfere with the detection result, and determines the excitation parameters of the excitation device for each quantum dot based on the average size of each quantum dot;
[0022] If the ratio of the number of the third-level points to the total number of quantum dots is the largest, the central control module determines that the target object is not genuine.
[0023] Furthermore, the central control module is provided with a plurality of adjustment methods for the excitation parameters of the LED light source based on the average size of each quantum dot, and the excitation parameters adjusted by each adjustment method are different.
[0024] Furthermore, after completing the adjustment of the excitation parameters, the central control module determines whether to correct the adjusted excitation parameters based on the variance value of the size of each quantum dot.
[0025] Furthermore, after completing the adjustment of the excitation parameters, the central control module reacquires the recognition pattern on the surface of the target object, re-marks the level of each quantum dot in the recognition pattern, and re-counts the ratio of the number of quantum dots of each level to the total number of quantum dots:
[0026] If the ratio of the number of the first-level points to the total number of quantum dots is the largest, the central control module determines that the target object is authentic;
[0027] If the ratio of the number of the secondary points to the total number of quantum dots is the largest or the ratio of the number of the tertiary points to the total number of quantum dots is the largest, the central control module determines that the target object is not genuine.
[0028] Furthermore, when the central control module preliminarily determines that the obtained similarity does not meet the standard, a plurality of adjustment modes for preprocessing parameters are provided based on the clarity of the pattern contour, and the adjustment range of each adjustment mode for the corresponding preprocessing parameter is different.
[0029] Furthermore, when the central control module determines that the corresponding excitation parameter needs to be adjusted to a corresponding value, if the adjusted amplitude exceeds the critical value preset in the central control module, the central control module sets the excitation parameter to the critical value and determines the preprocessing parameters for the pattern based on the difference between the excitation parameter to be adjusted and the critical value.
[0030] Furthermore, a quantum dot anti-counterfeiting detection device includes:
[0031] The excitation device comprises a storage box for placing the target object and an LED light source for emitting light to excite the quantum dots, wherein the LED light source is arranged on the inner wall of the storage box;
[0032] A collection module, comprising a photoelectric sensor disposed above the excitation device, for collecting fluorescence emitted by quantum dots on the surface of the target object;
[0033] a processing module, comprising an image sensor connected to the acquisition module, for preprocessing the information acquired by the acquisition module to form a recognition pattern;
[0034] The central control module is respectively connected to the excitation device, the acquisition module and the processing module, and is used to control the excitation device to irradiate the anti-counterfeiting mark, control the acquisition module to collect the fluorescence emitted by the anti-counterfeiting mark, control the processing module to pre-process the information collected by the acquisition module to form an identification pattern, determine the similarity between the pre-processed identification pattern and the preset standard pattern in the central control module, and adjust the preset parameters in each module based on the parameters of the quantum dots when the similarity obtained is preliminarily determined to be not in compliance with the standard.
[0035] Compared with the prior art, the beneficial effect of the present invention lies in that the central control module in the present invention compares the pre-processed pattern with the preset standard pattern for the authentic product in the central control module and calculates the similarity, and performs a secondary judgment on the target item whose similarity meets the standard; for the case where the initial similarity judgment does not meet the standard, the central control module adjusts the preprocessing parameters of the processing module based on the clarity of the pattern contour, and controls the processing module to re-detect the anti-counterfeiting mark; the judgment accuracy of the anti-counterfeiting detection of the target object is improved, the possibility of misjudgment is reduced, and the interference of environmental factors on the judgment results is eliminated, thereby further improving the judgment accuracy of the anti-counterfeiting detection.
[0036] Furthermore, the central control module compares the pre-processed pattern with the preset standard pattern for the authentic product in the central control module and calculates the similarity; for the target object whose similarity meets the standard, the central control module performs point marking processing on each quantum dot, and judges whether the target object is authentic based on the proportion of point markings of each level, and whether the excitation parameters need to be adjusted to eliminate the interference of environmental factors, thereby further improving the judgment accuracy of anti-counterfeiting detection of the target object, reducing the possibility of misjudgment, and eliminating the interference of environmental factors on the judgment result, making the judgment result more accurate.
[0037] Furthermore, the central control module is provided with several adjustment methods for the excitation parameters of the LED light source based on the average size of each quantum dot, and the excitation parameters adjusted under each adjustment method are different; after completing the adjustment of the excitation parameters, the central control module corrects the adjusted excitation parameters based on the variance of the average size of each quantum dot, so that the central control module can adjust the excitation parameters more accurately, which can greatly reduce the interference of environmental factors on the anti-counterfeiting detection results, and further improve the judgment accuracy of anti-counterfeiting detection of target objects.
[0038] Furthermore, the central control module re-performs the similarity comparison and the point marking and point ratio determination on the target object after the excitation parameter adjustment, further improving the determination accuracy of the anti-counterfeiting detection of the target object and reducing the possibility of misjudgment.
[0039] Furthermore, in the central control module, when the initial similarity judgment does not meet the standard, the preprocessing parameters of the processing module are adjusted based on the clarity of the pattern contour, thereby further reducing the interference of environmental factors on the anti-counterfeiting detection results and improving the judgment accuracy of anti-counterfeiting detection of target objects.
[0040] Furthermore, during the process of the central control module adjusting the excitation parameters, if the adjustment amplitude exceeds the critical value preset in the central control module, the central control module controls the processing module to correct the preprocessing parameters, thereby further improving the judgment accuracy of anti-counterfeiting detection of the target object, reducing the possibility of misjudgment, and eliminating the interference of environmental factors on the judgment results, making the judgment results more accurate. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] Figure 1 This is a structural block diagram of a quantum dot-based anti-counterfeiting detection system according to an embodiment of the present invention;
[0042] Figure 2 This is a flowchart of the steps of the quantum dot-based anti-counterfeiting detection method according to an embodiment of the present invention;
[0043] Figure 3 This is a flow chart of determining the similarity between an actual pattern and a preset standard pattern according to an embodiment of the present invention;
[0044] Figure 4 This is a flow chart of the determination of the position marking of each quantum dot by the central control module of the present invention;
[0045] Figure 5 The present invention is a flow chart for determining whether the proportion of each level point of the central control module of the present invention meets the standard. DETAILED DESCRIPTION
[0046] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0047] The above and other technical features and advantages of the present invention are described in more detail below in conjunction with the accompanying drawings.
[0048] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0049] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.
[0050] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0051] Please continue reading Figure 1As shown, it is a structural block diagram of the quantum dot-based anti-counterfeiting detection device of the present invention, and the quantum dot-based anti-counterfeiting detection device of the present invention includes an excitation device, a collection module, a processing module and a central control module; wherein the excitation device includes a storage box for placing a target object and an LED light source for emitting light to excite the quantum dots, and the LED light source is arranged on the inner wall of the storage box; the collection module includes a photoelectric sensor arranged above the excitation device, for collecting the fluorescence emitted by the quantum dots on the surface of the target object; the processing module includes an image sensor connected to the collection module, for pre-processing the information collected by the collection module to form an identification pattern; the central control module is respectively connected to the excitation device, the collection module and the processing module, for controlling the excitation device to irradiate the anti-counterfeiting mark, controlling the collection module to collect the fluorescence emitted by the anti-counterfeiting mark, controlling the processing module to pre-process the information collected by the collection module to form an identification pattern, and determining the similarity between the pre-processed identification pattern and the preset standard pattern in the central control module, and adjusting the preset parameters in each module based on the parameters of the quantum dots when the similarity obtained by the preliminary determination does not meet the standard.
[0052] See also Figure 2 As shown, it is a flowchart of the steps of the anti-counterfeiting detection method based on quantum dots according to an embodiment of the present invention, including:
[0053] Step S1, placing the target object to be tested for anti-counterfeiting into the excitation device, and the central control module controls the LED light source to illuminate the anti-counterfeiting mark to excite the quantum dots to produce fluorescence;
[0054] Step S2, the central control module controls the collection module to collect the fluorescence emitted by the anti-counterfeiting mark;
[0055] Step S3, the central control module controls the processing module to pre-process the information collected by the collection module to form a recognition pattern;
[0056] Step S4, the central control module performs a similarity comparison between the pre-processed recognition pattern and a preset standard pattern in the central control module, and determines whether the target item is authentic according to the comparison result;
[0057] Step S5, when the central control module preliminarily determines that the obtained similarity does not meet the standard, the central control module adjusts the preset parameters in each module based on the parameters of the quantum dots.
[0058] Specifically, the target object is placed in the excitation device, and the LED light source, under the control of the central control module, irradiates the anti-counterfeiting mark of the target object to excite the quantum dots in the anti-counterfeiting mark to produce fluorescence of a specific frequency; the acquisition module collects the fluorescence of a specific frequency produced by the quantum dots through a photoelectric sensor and hands it over to the processing module for preprocessing to form a pattern, and the central control module compares the preprocessed pattern with the preset standard pattern in the central control module for similarity to determine whether it is necessary to perform a secondary determination on the quantum dot parameters of the target object, and whether it is necessary to adjust the preset parameters in each module.
[0059] See also Figure 3 As shown, it is a flow chart of whether the central control module of the present invention determines whether the similarity obtained by comparing the preprocessed pattern with the preset standard pattern for genuine products in the central control module meets the standard; for the actual pattern formed by the preprocessing of the processing module, the central control module compares the pattern with the preset standard pattern in the central control module, records the area of pattern overlap as the similarity, and determines whether the recognition pattern meets the standard according to the size of the similarity, wherein:
[0060] The first similarity determination method is that the central control module determines that the similarity obtained by comparing the actual pattern with the preset standard pattern for the authentic product in the central control module meets the standard, and performs a secondary determination on each quantum dot of the target object whose similarity meets the standard; the first similarity determination method satisfies that the similarity is greater than the first preset similarity set in the central control module, and sets the first preset similarity S1=90%;
[0061] The second similarity determination method is that the central control module preliminarily determines that the similarity obtained by comparing the actual pattern with the preset standard pattern for the authentic product in the central control module does not meet the standard, and adjusts the preprocessing parameters of the processing module based on the clarity of the pattern outline, and the central control module controls the processing module to re-detect the anti-counterfeiting mark; the second similarity determination method satisfies that the similarity is less than or equal to the first preset similarity set in the central control module and is greater than the second preset similarity set in the central control module, and sets the second preset similarity S2=70%;
[0062] The third similarity determination method is that the central control module determines that the similarity obtained by comparing the actual pattern with the preset standard pattern for the authentic product in the central control module does not meet the standard, and the central control module determines that the target object is not authentic; the third similarity determination method satisfies that the similarity is less than or equal to the second preset similarity set in the central control module;
[0063] See also Figure 4As shown, it is a flow chart of the determination of the position marking of each quantum dot by the central control module of the present invention; for the target object that meets the first determination method of similarity, the central control module performs position marking processing on each quantum dot in the anti-counterfeiting mark of the target object, and the acquisition module collects the luminous frequency of each quantum dot. The central control module compares the luminous frequency of each quantum dot with the luminous frequency standard preset in the central control module and determines the position determination method for the quantum dot according to the determination result, wherein:
[0064] The first point determination method is that the central control module determines that the luminous frequency of the quantum dot does not meet the standard, and marks the quantum dot as a third-level point; the first similarity point determination method satisfies that the luminous frequency of the quantum dot is greater than the first preset frequency set in the central control module, and the first preset frequency f1 is set to 700THz;
[0065] The second point determination method is that the central control module determines that the luminous frequency of the quantum dot meets the standard and marks the quantum dot as a first-level point; the second point determination method of the similarity satisfies that the luminous frequency of the quantum dot is less than or equal to the first preset frequency set in the central control module and greater than the second preset frequency, and sets the second preset frequency f2=450THz;
[0066] The third point determination method is that the central control module preliminarily determines that the luminous frequency of the quantum dot does not meet the standard and the environmental parameters of the target object interfere with the detection result, and marks the quantum dot as a secondary point; the third point determination method of similarity satisfies that the luminous frequency of the quantum dot is less than or equal to the second preset frequency set in the central control module and greater than the third preset frequency, and sets the second preset frequency f3=400THz;
[0067] The fourth point determination method is that the central control module determines that the luminous frequency of the quantum dot does not meet the standard, and marks the quantum dot as a third-level point; the fourth point determination method of similarity satisfies that the luminous frequency of the quantum dot is less than or equal to the third preset frequency set in the central control module;
[0068] See also Figure 5 As shown, it is a flow chart of the central control module of the present invention for determining whether the proportion of each level of points meets the standard point proportion preset in the central control module; after the central control module completes the point marking of each quantum dot, it counts the proportion of quantum dots at each level of points and compares the proportion of each level of points with the standard proportion of each level of points preset in the central control module to determine whether the target object is genuine, wherein:
[0069] The first determination method of the point ratio is that the central control module determines that the point ratio meets the preset standard and determines that the target object is authentic; the first determination method of the point ratio satisfies that the ratio of the number of the first-level points to the total number of quantum dots is the largest;
[0070] The second determination method of the point ratio is that the central control module preliminarily determines that the point ratio does not meet the preset standard, and determines that the environmental parameters interfere with the detection results, and the central control module determines the excitation parameters of the excitation device for each quantum dot based on the average size of each quantum dot; the second determination method of the point ratio satisfies the maximum ratio of the number of the secondary points to the total number of quantum dots;
[0071] The third determination method of the point ratio is that the central control module determines that the point ratio does not meet the preset standard and determines that the target object is not genuine; the third determination method of the point ratio satisfies that the ratio of the number of the third-level points to the total number of quantum dots is the largest;
[0072] Please continue reading Figures 1 to 5 As shown, the central control module determines that the proportion of each level of points meets the second point standard, and preliminarily determines that the environmental parameters of the target object interfere with the detection result. The central control module is provided with several adjustment methods for the excitation parameters of the LED light source based on the average size of each quantum dot measured by the acquisition module, wherein:
[0073] The first adjustment method is that the average size is larger than the preset standard size, and the central control module reduces the excitation parameters of the LED light source; the first adjustment method satisfies that after adjustment by the central control module, the excitation parameters are less than the original excitation parameters set in the LED light source, and the original excitation parameters are set to the natural light with a power of 5W and a color temperature of 4000-4500K of the LED light source, which is adjusted to a warm white light with a power of 3W and a color temperature of 2700-3200K after the first adjustment method;
[0074] The second adjustment mode is that the average size is smaller than the preset standard size, and the central control module increases the excitation parameters of the LED light source; the second adjustment mode satisfies that after adjustment by the central control module, the excitation parameters are greater than the original excitation parameters set in the LED light source, and after the third adjustment mode, the excitation parameters are adjusted to a cold white light with a power of 7W and a color temperature of 7000-7500K;
[0075] Further, in the case where the average size is equal to the preset standard size, and in the case where the first adjustment method or the second adjustment method is completed, the central control module corrects the excitation parameters based on the variance of the average size of each quantum dot;
[0076] Specifically, the central control module corrects the excitation parameters of the LED light source based on the variance of the average size of each quantum dot; the correction method satisfies that after adjustment by the central control module, the excitation parameters have an excitation effect on each quantum dot that reaches a preset standard.
[0077] Please continue reading Figures 1 to 5 As shown, after the central control module completes the adjustment of the excitation parameters, it reacquires the recognition pattern on the surface of the target object, re-marks the level of each quantum dot in the recognition pattern, and re-counts the ratio of the number of quantum dots of each level to the total number of quantum dots:
[0078] If the ratio of the number of the first-level points to the total number of quantum dots is the largest, the central control module determines that the target object is authentic;
[0079] If the ratio of the number of the secondary points to the total number of quantum dots is the largest or the ratio of the number of the tertiary points to the total number of quantum dots is the largest, the central control module determines that the target object is not genuine.
[0080] Please continue reading Figures 1 to 5 As shown, when the central control module preliminarily determines that the obtained similarity does not meet the standard, it is provided with several adjustment methods for preprocessing parameters based on the clarity of the pattern contour, wherein:
[0081] The first adjustment mode of the preprocessing parameters is that the central control module determines that the clarity of the pattern contour meets the preset clarity standard, and the central control module adjusts the grayscale of the preprocessing parameters; the first adjustment mode of the preprocessing parameters satisfies that after adjustment by the central control module, the grayscale of the preprocessing parameters is increased by 10%;
[0082] The second adjustment mode of the preprocessing parameters is that the central control module determines that the pattern outline clarity does not meet the preset clarity standard, and the central control module adjusts the resolution of the preprocessing parameters; the second adjustment mode of the preprocessing parameters satisfies that after adjustment by the central control module, the resolution of the preprocessing parameters is improved by 300dpi;
[0083] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0084] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A quantum dot-based anti-counterfeiting detection method, characterized in that: include: Step S1, placing the target object to be tested for anti-counterfeiting into the excitation device, and the central control module controls the LED light source to illuminate the anti-counterfeiting mark to excite the quantum dots to produce fluorescence; Step S2, the central control module controls the collection module to collect the fluorescence emitted by the anti-counterfeiting mark; Step S3, the central control module controls the processing module to pre-process the information collected by the collection module to form a recognition pattern; Step S4, the central control module performs a similarity comparison between the pre-processed recognition pattern and the preset standard pattern in the central control module, records the area of pattern overlap as the similarity, and determines whether the recognition pattern meets the standard similarity determination method according to the size of the similarity, wherein: The first similarity determination method is that the central control module determines that the similarity obtained by comparing the actual pattern with the preset standard pattern for the authentic product in the central control module meets the standard, and performs a secondary determination on each quantum dot of the target object whose similarity meets the standard; the first similarity determination method satisfies that the similarity is greater than the first preset similarity set in the central control module; The second similarity determination method is that the central control module preliminarily determines that the similarity obtained by comparing the actual pattern with the preset standard pattern for the authentic product in the central control module does not meet the standard, and adjusts the preprocessing parameters of the processing module based on the clarity of the pattern outline, and the central control module controls the processing module to re-detect the anti-counterfeiting mark; the second similarity determination method satisfies that the similarity is less than or equal to the first preset similarity set in the central control module and greater than the second preset similarity set in the central control module; The third similarity determination method is that the central control module determines that the similarity obtained by comparing the actual pattern with the preset standard pattern for the authentic product in the central control module does not meet the standard, and the central control module determines that the target object is not authentic; the third similarity determination method satisfies that the similarity is less than or equal to the second preset similarity set in the central control module; When the central control module determines that the obtained similarity meets the standard, the central control module sequentially collects the luminescence frequency of each quantum dot in the recognition pattern, and marks each quantum dot based on the luminescence frequency of each quantum dot; After the central control module completes marking of each of the quantum dots, it counts the ratio of the number of quantum dots of each level to the total number of quantum dots to determine whether the target item is authentic.
2. The quantum dot-based anti-counterfeiting detection method according to claim 1, characterized in that: For a single quantum dot: If the luminous frequency of the quantum dot is greater than the first luminous frequency preset in the central control module, the central control module determines that the quantum dot is unqualified and marks it as a third-level point; If the light emission frequency of the quantum dot is less than or equal to the first light emission frequency and greater than the second light emission frequency preset in the central control module, the central control module determines that the quantum dot is qualified and marks it as a first-level point; If the light emission frequency of the quantum dot is less than or equal to the second light emission frequency and greater than the third light emission frequency preset in the central control module, the central control module preliminarily determines that the quantum dot is unqualified and marks it as a secondary point; If the luminous frequency of the quantum dot is less than or equal to the third luminous frequency, the central control module determines that the quantum dot is unqualified and marks it as a third-level dot.
3. The quantum dot-based anti-counterfeiting detection method according to claim 2, characterized in that: If the ratio of the number of the first-level points to the total number of quantum dots is the largest, the central control module determines that the target object is authentic; If the ratio of the number of the secondary points to the total number of quantum dots is the largest, the central control module preliminarily determines that the environmental parameters of the target object interfere with the detection result, and determines the excitation parameters of the excitation device for each quantum dot based on the average size of each quantum dot; If the ratio of the number of the third-level points to the total number of quantum dots is the largest, the central control module determines that the target object is not genuine.
4. The quantum dot-based anti-counterfeiting detection method according to claim 3, characterized in that: The central control module is provided with a plurality of adjustment methods for the excitation parameters of the LED light source based on the average size of each quantum dot, and the excitation parameters adjusted by each adjustment method are different.
5. The quantum dot-based anti-counterfeiting detection method according to claim 4, characterized in that: After completing the adjustment of the excitation parameters, the central control module determines whether to correct the adjusted excitation parameters based on the variance value of the size of each quantum dot.
6. The quantum dot-based anti-counterfeiting detection method according to claim 5, characterized in that: After completing the adjustment of the excitation parameters, the central control module reacquires the recognition pattern on the surface of the target object, re-marks the level of each quantum dot in the recognition pattern, and re-counts the ratio of the number of quantum dots of each level to the total number of quantum dots: If the ratio of the number of the first-level points to the total number of quantum dots is the largest, the central control module determines that the target object is authentic; If the ratio of the number of the secondary points to the total number of quantum dots is the largest or the ratio of the number of the tertiary points to the total number of quantum dots is the largest, the central control module determines that the target object is not genuine.
7. The quantum dot-based anti-counterfeiting detection method according to claim 6, characterized in that: When the central control module preliminarily determines that the obtained similarity does not meet the standard, a plurality of adjustment modes for preprocessing parameters are provided based on the clarity of the pattern contour, and the adjustment range of each adjustment mode for the corresponding preprocessing parameter is different.
8. The quantum dot-based anti-counterfeiting detection method according to claim 7, characterized in that: When the central control module determines that the corresponding excitation parameter needs to be adjusted to the corresponding value, if the adjusted amplitude exceeds the critical value preset in the central control module, the central control module sets the excitation parameter to the critical value and determines the preprocessing parameters for the pattern based on the difference between the excitation parameter to be adjusted and the critical value.
9. A quantum dot-based anti-counterfeiting detection device using the method according to any one of claims 1 to 8, characterized in that: include: The excitation device comprises a storage box for placing the target object and an LED light source for emitting light to excite the quantum dots, wherein the LED light source is arranged on the inner wall of the storage box; A collection module, comprising a photoelectric sensor disposed above the excitation device, for collecting fluorescence emitted by quantum dots on the surface of the target object; a processing module, comprising an image sensor connected to the acquisition module, for preprocessing the information acquired by the acquisition module to form a recognition pattern; The central control module is respectively connected to the excitation device, the acquisition module and the processing module, and is used to control the excitation device to irradiate the anti-counterfeiting mark, control the acquisition module to collect the fluorescence emitted by the anti-counterfeiting mark, control the processing module to pre-process the information collected by the acquisition module to form an identification pattern, determine the similarity between the pre-processed identification pattern and the preset standard pattern in the central control module, and adjust the preset parameters in each module based on the parameters of the quantum dots when the similarity obtained is preliminarily determined to be not in compliance with the standard.
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