CN100417934C - Method for detecting anti-fake holographic product characteristic parameter and detector - Google Patents

Method for detecting anti-fake holographic product characteristic parameter and detector Download PDF

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Publication number
CN100417934C
CN100417934C CNB2006100130778A CN200610013077A CN100417934C CN 100417934 C CN100417934 C CN 100417934C CN B2006100130778 A CNB2006100130778 A CN B2006100130778A CN 200610013077 A CN200610013077 A CN 200610013077A CN 100417934 C CN100417934 C CN 100417934C
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China
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light intensity
sample
signal
detector
fake
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CNB2006100130778A
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CN1815203A (en
Inventor
刘铁根
孟卓
江俊峰
苏传建
何瑾
张黎明
王宇
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Tianjin Product Quality Supervision and Testing Institute
Tianjin University
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TIANJIN PRODUCT QUALITY SUPERVISION AND TESTING INSTITUTE
Tianjin University
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Abstract

The present invention relates to a detection method and a detector for detecting the characteristic parameters of anti-counterfeiting holographic products. The detection method uses a displacement mechanism to drive a sample platform to carry out one-dimensional displacement, so that anti-counterfeiting holographic samples to be measured can move relatively to the incident light spots of a laser, and the marks of anti-counterfeiting holographic products can be automatically scanned in a one-dimensional mode. In the process of scanning, a photoelectric detector obtains multipoint light intensity signals in scanning direction in real time, the collection of the light intensity signals is controlled by a computer or a microprocessor, the collected row of data is analyzed and processed after preprocessed by software so as to measured the characteristic parameters such as signal-to-noise ratio and diffraction efficiency, and the measuring results are displayed and printed. The detector comprises a light source, the sample platform, the displacement mechanism, a photoelectricity receiving device, data acquisition and control module. The present invention changes the problems of excess adjustment and incapability of automatic measurement, and the design of the detector realizes automatic measurement, so that the measurement process is simple and fast with high operability, and the requirement of professional knowledge toward an operator is lowered.

Description

Method for detecting anti-fake holographic product characteristic parameter and detector
[technical field]:
The present invention relates to anti-counterfeiting holographic product quality testing field, particularly to its characterisitic parameter: the detection method of signal to noise ratio (S/N ratio) and diffraction efficiency and pick-up unit.
[background technology]:
Anti-counterfeiting holographic product is the safety anti-fake product based on the laser holographic plate-making technology, usually is made into anti-counterfeiting mark, is used for the safety anti-fake of product.The quality of anti-counterfeiting holographic product should satisfy certain requirement to reach false proof purpose.Method for detecting anti-fake holographic product characteristic parameter is applied to detect the anti-fake holographic product characteristic parameter index: noise is diffraction efficiency when, reach the purpose of monitoring holographic anti-counterfeiting label product quality, for technical supervision department is checked on and manufacturer carries out and implements " anti-counterfeiting holographic product current techique " national standard quantitative means of testing is provided.
Detecting principle is to utilize signal light intensity and the noise light intensity of measuring in the rainbow hologram slit image diffractogram, and the laser light source light intensity, calculates anti-counterfeiting mark signal to noise ratio (S/N ratio) and diffraction efficiency characterisitic parameter.
At first measure the light intensity that has the holographic grating position on the sign, as signal light intensity I S, measure the light intensity that does not have the part of optical grating construction on the sign again, as noise light intensity I N, the light source light intensity of collection is I 0, two formulas can be calculated signal to noise ratio snr and diffraction efficiency below utilizing
SNR = I S I N - - - ( 1 )
η = I s I 0 × 100 % - - - ( 2 )
For the measurement of the anti-fake holographic product characteristic parameter method of employing personnel range estimation often, the device of measurement was perhaps arranged, but also just measured in the past for certain dot characteristics parameter.Simultaneously, it is too much to adjust link during measurement, measures comparatively loaded down with trivial details.When acquired signal light intensity and noise light intensity, just can carry out data read after needing to adjust, and record, calculate noise diffraction efficiency when by formula.
[summary of the invention]:
The objective of the invention is to solve deficiency in the said method, a kind of method for detecting anti-fake holographic product characteristic parameter and detector of realizing anti-counterfeiting holographic product sign one dimension autoscan function is provided.
Method for detecting anti-fake holographic product characteristic parameter provided by the invention comprises successively:
---be placed on the example platform tested anti-fake holographic sample also fixing;
---the light beam that makes light source send is 30 °-60 ° along becoming θ angle incident anti-fake holographic sample, θ angle with the sample normal;
---place a concave mirror in sample normal N direction, concave mirror normal M becomes the angle of ψ with the sample normal N, and ψ is 10 ° ± 2 °;
---make example platform drive tested anti-fake holographic sample and move along carrying out one dimension displacement with sample normal vertical direction;
---photodetector is positioned over the opposite side of concave mirror, and obtains the multiple spot light intensity signal on the direction of scanning in real time;
---the light intensity signal that photodetector obtains is sent into computing machine or microprocessor, the line data of gathering is analyzed and handled, calculate its characterisitic parameter by formula: signal to noise ratio snr and diffraction efficiency, and show and the printing measurement result described formula:
SNR = I S I N
η = I S I 0 × 100 % ,
Wherein, I SBe signal light intensity, I NBe noise light intensity, I 0Be light source light intensity.
A kind of detector of realizing above-mentioned detection method comprises:
---light source: being used to produce incident light is 30 °-60 ° along becoming θ angle incident anti-fake holographic sample, θ angle with the sample normal also;
---example platform: be used for fixing tested anti-fake holographic sample;
---displacement mechanism: be made up of lead screw pair, nut and example platform in the lead screw pair are fixed, and leading screw connects stepper motor, are used to drive example platform and carry out the one dimension displacement motion, realize the one dimension autoscan to tested anti-fake holographic sample sign; Stepper motor is by the control module controlling and driving;
---photelectric receiver: be used for obtaining in real time the anti-fake holographic sample in the direction of scanning, pass through delegation's diffraction light intensity signal of concave reflection mirror reflection, and light intensity signal is converted to voltage signal;
---data acquisition module: be used to gather voltage signal, and send into control module by after the photelectric receiver conversion;
---control module: be used to receive the voltage signal that data acquisition module is sent into, extract signal light intensity I wherein after treatment SAnd noise light intensity I N, utilize the light source light intensity I that has obtained before the scanning 0, calculate the characterisitic parameter that anti-counterfeiting holographic product identifies according to formula: signal to noise ratio snr and diffraction efficiency, described formula:
SNR = I S I N
η = I S I 0 × 100 % .
Wherein photelectric receiver adopts photoelectric cell to finish, and data acquisition module and control module are realized by computing machine or microprocessor.
Advantage of the present invention and good effect: the present invention proposes a kind of detection method of autoscan mode, and the detecting instrument of this method of realization.This method has adopted displacement mechanism to drive example platform to carry out one dimension displacement and move and finish the function of the one dimension autoscan of anti-counterfeiting holographic product sign being measured its characterisitic parameter, changed and adjusted too much and the problem that can not measure automatically; Collection and processing for data are finished by computing machine or microprocessor, calculate the characterisitic parameter of anti-counterfeiting holographic product to be measured automatically, and directly show, print measurement result; The design of instrument has realized the measurement robotization, makes measuring process easy, quick, workable, has reduced the requirement to operator's professional knowledge.
[description of drawings]:
Fig. 1 measures index path;
Fig. 2 is system's control and gathers structured flowchart;
Fig. 3 is an anti-counterfeiting holographic product sign sample drawing;
Fig. 4 is the curve of light distribution along the direction of scanning sampled point;
Fig. 5 is through the pretreated sampled point curve of light distribution of computing machine;
Fig. 6 is the key diagram of signal light intensity and noise light intensity in the curve of light distribution;
Fig. 7 is an anti-fake holographic product characteristic parameter detecting instrument scanning shift structural scheme of mechanism.
[embodiment]:
Embodiment 1: detection method
As shown in Figure 1, tested anti-fake holographic sample is placed on the example platform and fixing; The light beam that makes light source 1 send is radiated at anti-counterfeiting holographic product sample 2 with incident angle θ (30 °-60 °); Place a concave mirror 3 in the sample normal direction, concave mirror normal M becomes angle (about 10 ° ± 2 °) the sample diffraction light of ψ through the concave reflection mirror reflection with the sample normal N, is gathered by photelectric receiver 4.
The present invention utilizes stepper motor drive sample to carry out displacement, the relative launching spot of sample produces displacement, because the incident light irradiation is on the different position of sample, its diffraction light intensity in the sample normal direction is inequality, receive the light intensity signal of its variation by photelectric receiver, simultaneously carry out data acquisition, thereby obtain the curve of light distribution of sample along the direction of scanning by computing machine.For sample as shown in Figure 3, after carrying out data acquisition by computing machine, obtain the curve of light distribution as shown in Figure 4, obtain the curve of light distribution as shown in Figure 5 through after the Computer Processing, analyze and handle by computer software again, extract signal light intensity I wherein S(as 5 represented among Fig. 6) and noise light intensity I N(as 6 represented among Fig. 6) utilizes the laser light source light intensity I that has obtained before the scanning 0, can calculate the characterisitic parameter that anti-counterfeiting holographic product identifies according to formula (1) and formula (2): noise is diffraction efficiency when.
Embodiment 2: detector
This detector (referring to Fig. 1, Fig. 2, shown in Figure 7) comprises light source 1, the automatic displacement mechanism of one dimension, photelectric receiver 4 and data acquisition and control module.Light source 1 has adopted the He-Ne laser instrument.In order to realize the scan function to the anti-counterfeiting holographic product sign, this instrument has used stepper motor 7 to drive the example platform motion; Photelectric receiver uses photoelectric cell to finish, and light intensity signal is converted to voltage signal, and is gathered by the Back end data capture card; Data acquisition module and control module are finished by computing machine, and the PCI capture card is used in data acquisition, and the control of motor has utilized the digital I/O interface of PCI capture card to realize.
Fig. 2 is the structured flowchart of system's control and collection, utilize the digital I/O mouth of PCI capture card, computing machine sends the driving circuit control step driven by motor displacement platform motion that stepper motor is given in instruction, thereby drive example platform and sample and carry out motion in one dimension, the light intensity that makes photelectric receiver receive changes, change it into voltage signal by treatment circuit, treatment circuit mainly adopts zero volt biasing circuit to change photocurrent into voltage signal, and by operational amplifier it is gained, gather this voltage signal by the PCI capture card.
Fig. 7 is the structural drawing of scanning shift mechanism.Among the figure: 7, stepper motor; 8, leading screw; 9, example platform; 10, sample holding piece; 11, rotation platform; 12, one dimension manual displacement platform; 13, linear bearing guide rail.Its course of work is: rotatablely moved by computer-controlled stepper motor 7, by leading screw 8 rotatablely moving of stepper motor is converted to rectilinear motion, carry out rectilinear motion thereby drive example platform 9.The effect of one dimension manual displacement platform 12 and rotation platform 11 is that the direction of sample preliminary sweep point and scanning is carried out the position adjustment.13 effects of linear bearing guide rail are to make that the motion of example platform is more steady, also play the effect of guiding and minimizing resistance simultaneously.The effect of example platform 9 and sample holding piece 10 is effective clamped sample, wherein is embedded in magnet at example platform 9, utilizes the effect of magnetic absorption to be connected with the sample holding piece, plays the effect of clamped sample.
The course of work of instrument is: be placed on the example platform tested anti-fake holographic sample also fixing; The light beam that makes the He-Ne laser instrument send shines sample with incident angle θ (30 °-60 °); Mirror reflection is received by photoelectric cell the diffraction light of sample through concave reflection; Send instruction by computer software, utilize the digital I/O interface control step motor-drive circuit on the PCI capture card, make stepper motor be rotated motion, rotatablely moving of stepper motor changed into the displacement movement of sample stage, carry out displacement thereby drive sample by lead screw pair; The relative launching spot of sample produces displacement, because incident light shines on the different position of sample, its diffraction light intensity in the sample normal direction is inequality, is received the light intensity signal of its variation by photelectric receiver; Change it into voltage signal by treatment circuit, by this signal of computer software control PCI capture card collection, to obtain the curve of light distribution of sample along the direction of scanning; Utilize computer software that the curve of light distribution is handled and analyzed again, calculate the anti-fake holographic product characteristic parameter: noise is diffraction efficiency when, and shows and the printing measurement result.

Claims (3)

1. method for detecting anti-fake holographic product characteristic parameter is characterized in that this method comprises successively:
---be placed on the example platform tested anti-fake holographic sample also fixing;
---the light beam that makes light source send is 30 °-60 ° along becoming θ angle incident anti-fake holographic sample, θ angle with the sample normal;
---place a concave mirror in sample normal N direction, concave mirror normal M becomes the angle of ψ with the sample normal N, and ψ is 10 ° ± 2 °;
---make example platform drive tested anti-fake holographic sample and move along carrying out one dimension displacement with sample normal vertical direction;
---photodetector is positioned over the opposite side of concave mirror, and obtains the multiple spot light intensity signal on the direction of scanning in real time;
---the light intensity signal that photodetector obtains is sent into computing machine or microprocessor, the line data of gathering is analyzed and handled, calculate its characterisitic parameter by formula: signal to noise ratio snr and diffraction efficiency, and show and the printing measurement result described formula:
SNR = I S I N
η = I S I 0 × 100 % ,
Wherein, I SBe signal light intensity, I NBe noise light intensity, I 0Be light source light intensity.
2. detector of realizing the described detection method of claim 1 is characterized in that this detector comprises:
---light source: being used to produce incident light is 30 °-60 ° along becoming θ angle incident anti-fake holographic sample, θ angle with the sample normal also;
---example platform: be used for fixing tested anti-fake holographic sample;
---displacement mechanism: be made up of lead screw pair, nut and example platform in the lead screw pair are fixed, and leading screw connects stepper motor, are used to drive example platform and carry out the one dimension displacement motion, realize the one dimension autoscan to tested anti-fake holographic sample sign; Stepper motor is by the control module controlling and driving;
---photelectric receiver: be used for obtaining in real time the anti-fake holographic sample in the direction of scanning, pass through delegation's diffraction light intensity signal of concave reflection mirror reflection, and light intensity signal is converted to voltage signal;
---data acquisition module: be used to gather voltage signal, and send into control module by after the photelectric receiver conversion;
---control module: be used to receive the voltage signal that data acquisition module is sent into, extract signal light intensity I wherein after treatment SAnd noise light intensity I N, utilize the light source light intensity I that has obtained before the scanning 0, calculate the characterisitic parameter that anti-counterfeiting holographic product identifies according to formula: signal to noise ratio snr and diffraction efficiency, described formula:
SNR = I S I N
η = I S I 0 × 100 % .
3. according to the detector of claim 2, it is characterized in that photelectric receiver finished by photoelectric cell, data acquisition module and control module are realized by computing machine or microprocessor.
CNB2006100130778A 2006-01-20 2006-01-20 Method for detecting anti-fake holographic product characteristic parameter and detector Expired - Fee Related CN100417934C (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101556712B (en) * 2009-04-30 2011-10-19 深圳市聚融鑫科科技有限公司 Video detecting device and video detecting method for hidden image of anti-fake hologram

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4761543A (en) * 1985-03-01 1988-08-02 Hayden Kenneth J Holographic security devices and systems
CN1256774A (en) * 1997-04-10 2000-06-14 布朗大学研究基金会 Optically-based method and apparatus for performing document authentication
US6085980A (en) * 1994-08-17 2000-07-11 Metrologic Instruments, Inc. Holographic laser scanning system for producing an omni-directional scanning pattern within a 3-D scanning volume
CN1265760A (en) * 1997-07-29 2000-09-06 万利尔金属制品(美国)有限公司 System and method for determining which of plurality of visually inditinguishable objects have been marked with cover indicator
CN2498634Y (en) * 2001-08-15 2002-07-03 公安部防伪产品质量监督检验中心 Hologram pattern automatic inspector

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4761543A (en) * 1985-03-01 1988-08-02 Hayden Kenneth J Holographic security devices and systems
US6085980A (en) * 1994-08-17 2000-07-11 Metrologic Instruments, Inc. Holographic laser scanning system for producing an omni-directional scanning pattern within a 3-D scanning volume
CN1256774A (en) * 1997-04-10 2000-06-14 布朗大学研究基金会 Optically-based method and apparatus for performing document authentication
CN1265760A (en) * 1997-07-29 2000-09-06 万利尔金属制品(美国)有限公司 System and method for determining which of plurality of visually inditinguishable objects have been marked with cover indicator
CN2498634Y (en) * 2001-08-15 2002-07-03 公安部防伪产品质量监督检验中心 Hologram pattern automatic inspector

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