CN1629874A - Method and device for quick detecting of pupil dynamic changes of drug taking people - Google Patents

Method and device for quick detecting of pupil dynamic changes of drug taking people Download PDF

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Publication number
CN1629874A
CN1629874A CN 200410079526 CN200410079526A CN1629874A CN 1629874 A CN1629874 A CN 1629874A CN 200410079526 CN200410079526 CN 200410079526 CN 200410079526 A CN200410079526 A CN 200410079526A CN 1629874 A CN1629874 A CN 1629874A
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China
Prior art keywords
pupil
glasses
drug
computing machine
signal
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Pending
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CN 200410079526
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Chinese (zh)
Inventor
彭沿平
周东明
曾涛
李波
高运弘
赵明
齐华
田少华
杨建珍
王兴福
马原野
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Kunming Institute of Zoology of CAS
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Kunming Institute of Zoology of CAS
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Priority to CN 200410079526 priority Critical patent/CN1629874A/en
Publication of CN1629874A publication Critical patent/CN1629874A/en
Pending legal-status Critical Current

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Abstract

This invention relates to a quick test method for testing the dynamic changes of pupils of drug-dependents and its device, which transmits the image data of the pupil to a video signal collecting card on a computer in the mode of video signals to be converted to digital signals via video modulus for further image process to be compared with database to judge if the tested one takes drugs. The device is composed of glasses and a computer, among which, a plastic cover blade is set on the glasses, an infrared micro-camera head is fixed on the cover blade, infrared light sources composed of LED are set at both sides and three LED at the right of the blade, data collection and a software are put in the computer.

Description

Drug addict's pupillary movements method for quick and device thereof
Technical field:
The present invention relates to a kind of drug addict's pupillary movements method for quick and device thereof, belong to the Neurobiology pick-up unit.
Background technology:
China at present to drug addict's detection mainly based on conventional estranged analysing to detected object urine or blood, this detection method needs the laboratory of certain condition and long detection time, it is also higher to detect cost, will guarantee that the operation of sample reliability is also more loaded down with trivial details when body fluid extracts.China has developed at present and has produced the detection case that is used for suspicious drug addict's urine examination, though the urine detection case has had bigger technical progress, there are a lot of problems in the practical application of urine examination:
Guarantee that the operation of sample accuracy is also more loaded down with trivial details when 1) urine is extracted, need special equipment, the technician of place and specialized training operates, and the operator is for the misgivings to the possible problems such as HIV infection of urine, be reluctant greatly to operate because of psychological pressure during use, so this technology application limitation is bigger.
2) drug addict is when being checked, and often takes the method for stealing the beams and changing the pillars, and the urine sample with normal person's urine sample or tap water substitutes oneself makes the confidence level that detects reduce.
Therefore, monitoring simple to operation, quick, pollution-free, easy and can popularize the drug addict who uses detect authenticate technology and instrument development use become that Chinese society is stablized, strategic demand that economic development and acquired immune deficiency syndrome (AIDS) are controlled.
Up to now, do not find the open report identical with technical solution of the present invention.
Summary of the invention:
The object of the present invention is to provide a kind of strong interference immunity that has, structure is light, drug addict's pupillary movements method for quick simple to operation, quick, free of contamination and device thereof.
Principle of the present invention is: suck opioid drug and can cause the parasympathetic nerve excitement very soon, and then cause myosis, be so-called " needle point sample pupil ", after the some time, if do not take in opioid drug again, the parasympathetic nerve excitability lowers, and sympathetic nerve is hyperfunction, and pupil begins to become than the normal National People's Congress, and keep for a long time, until obtaining opium, dwindle again, this is that opium is sucked obvious characteristics of patient.White iris color is superficial, and pupil is clearly more demarcated, and its form is directly observed by naked eyes easily.Therefore, in western countries, drug addict always wear dark glasses covers the pupil that dwindles or amplify.According to this phenomenon, in Britain, from over 2000, the police is imprinted on the pupil figures of different sizes on the card, the size that drug abuse suspicion person is observed pupil with the mode of range estimation also and the figure on the card compare, find the drug addict whereby.Therefore but it is very sensitive to light that the shortcoming of this method is a pupil, and under the different light rays, the size of pupil is different, and it is that light causes or drug-induced being difficult to differentiate the pupil that someone dwindles.This method is less qualified to do it in the yellow, because yellow's dark brown iris and pitchy pupil are difficult to difference, with the naked eye is difficult to distinguish the variation of pupil under visual condition.Moreover the mode of range estimation can only be estimated the diameter of pupil, the very difficult dynamic change of observing pupil.Therefore, identify the purpose of differentiation for the drug addict, development one cover is applicable to that xanthous drug addict's pupillary movements observing system is necessary, also is feasible simultaneously.
The present invention is achieved in that
The view data of pupil reaches video signal collecting card on the computing machine in the mode of vision signal through the vision signal cable, does further Flame Image Process after becoming digital signal (MPG4 pattern) by the video analog to digital conversion.
Because original pupil data are grey scale signals, the data processing first step is by spatial filtering and the mode that the gray scale window is set, and detects the edge of pupil, the signal of elimination iris.Second step was the shape that fits pupil, removed because the reflective pupil area " breakage " that causes.The 3rd step was to identify pupil with the method for pattern-recognition in the zone of selecting.What of the interior picture number that is comprised of calculating pupil the 4th be.The change dynamics that shows pupil at last with the Di Kaer coordinate.The software of developing by us compares the data of gathering and the large sample amount database of foundation on this basis, makes differentiation to tested.Concrete detection method is as follows respectively:
A. image gray-scale transformation gray (x, y)=(g*0.5+r*0.39+b*0.11)/100;
B. image smoothing go dry g (x, y)=the 1/M ∑ (m, n) ∈ SF (m, n); Counting of M=set internal coordinate, (x y) faces the set of territory point coordinate to S=;
C. image segmentation (pupil is considered as prospect, other be background)
1)). bimodal method: image is made up of prospect and background, and on grey level histogram, front and back two scapes all form the peak, and the lowest trough place between bimodal is exactly the threshold value place of image.
2)). process of iteration
Process of iteration is based on the thought of approaching, and its step is as follows:
● obtain the maximum gradation value and the minimum gradation value of image, be designated as Z respectively MAXAnd Z MIN, make initial threshold T O=(Z MAX+ Z MIN)/2;
● is prospect and background according to threshold value TK with image segmentation, obtains both average gray value Z respectively OAnd Z B
● obtain new threshold value T K+1=(Z O+ Z B)/2;
● if T K=T K+1, then gained is threshold value; Otherwise change 2, iterative computation.
3)). big Tianjin method (OTSU method)
To image I mage, note t is the segmentation threshold of prospect and background, and prospect is counted and accounted for image scaled is w0, and average gray is u0; Background is counted and accounted for image scaled is w1, and average gray is u1.The overall average gray scale of image is: u=w0*u0+w1*u1.From the minimum gradation value to the maximum gradation value, travel through t, be worth g=w0* (u0-u) when t makes 2+ w1* (u1-u) 2T is the optimal threshold of cutting apart when maximum.Can do following understanding to big Tianjin method: in fact this formula is exactly the inter-class variance value, and the prospect that threshold value t is partitioned into and background two parts have constituted entire image, and prospect value u0, probability is w0, and background value u1, probability are w1, grand mean is u, promptly gets this formula according to the definition of variance.Because of variance is the inhomogeneity a kind of tolerance of intensity profile, variance yields is big more, two parts difference that composing images is described is big more, be divided into target and all can cause two parts difference to diminish when part target mistake is divided into background or part background mistake, therefore make to mean the misclassification probability minimum cutting apart of inter-class variance maximum.
It is bigger directly to use big Tianjin method calculated amount, so we have adopted formula g=w0*w1* (u0-u1) of equal value when realizing 2
Device of the present invention is made up of glasses and computing machine.Wherein: the eye-shade of plastics (1) is gone up the miniature close-shot camera (3) of fixing the infrared-sensitive of choosing in a market with screw on the position of glasses left eye correspondence, be used for gathering the pupil of left eye data, in the both sides of camera is the infrared light sources (2 that is made of LED, 4), and 3 red light emitting diodes (5 that are positioned at light shield the right, 6,7), be used for the eyeball that throws light on.The focal length of camera is 3 centimetres, and the sampled signal standard is black and white gray scale 12 bit signals, sampling rate: 25 frame/seconds, and visual field size: 45 degree, be equipped with data acquisition and processing (DAP) software in the computing machine.
About 100 grams of glasses weight, power supply is the 9-12V rechargeable battery.Observing recorder is notebook or desktop computer, and minimalist configuration is:
Operating system Win XP
CPU processing speed: 2G
Internal memory: 256M
Hard disk 40G
Video card internal memory 32M
Under the situation of isolated extraneous light, the contrast between iris and the pupil can reach 1: 5, makes the complete energy of computer system 100% ground accurately discern the form of pupil.On spatial discrimination, this system has reached 0.1 millimeter to the spatial resolution of pupil diameter.Because the oscillation frequency of pupil is less than 1Hz, so the sample frequency of per second 25Hz enough guarantees the time precision of sampling.Under this sample frequency, to the displacement of eyeball, also can realize data acquisition and observation nictation.Therefore whole system not only can detect the variation of pupil, can also detect the motion of eyeball and the frequency of nictation simultaneously.
Stimulate input:
Stimulation is provided by the light of 3 red light emitting diodes that are positioned at light shield the right.Diode is connected on 3 volts of dry cells.Stimulate and adopt the step ripple.Stimulate control to adopt hand switch.
Testing procedure:
During test, connect the power supply of eye-shade earlier, start computing machine, at this moment working procedure allows testedly put on an eyeshade and adapt to glasses 3-5 minute, writes down then under 2 minutes dark surrounds, at this moment the dynamic change of pupil size opens light stimulus, the dynamic change of 1 minute pupil of record.This step METHOD FOR CONTINUOUS DETERMINATION 3 times.
Whether the present invention also can use in the family, also take drugs in order to check the child that history of drug abuse is once arranged again, and father and mother just can observe the variation of pupil as long as signal pickup assembly is linked to each other with televisor.
The present invention compared with prior art has strong interference immunity, and structure is light, and monitoring simple to operation, quick, pollution-free, easy and can ban drugs is forbidden taking drugs, and prevents to popularize in the process of AIDS diffusion to use the advantages such as practicality that tool is very big.
Description of drawings:
Accompanying drawing 1 is drug addict's pupillary movements device for fast detecting connection diagram.
Accompanying drawing 2 is a computer programme flow diagram.
Embodiment:
The invention will be further described below in conjunction with accompanying drawing: be fixed in infrared ray responsive camera (3) on the eye-shade (1) with infrared light-emitting diode (2,4) the pupil image pickup that illuminates gets off, and signal is delivered to the input end of video frequency collection card (10) through vision signal cable (11).Signal after the conversion is judged the tested heroin of whether sucking after handling in computing machine (12).Red light emitting diodes (5,6,7) links to each other with battery (9) through gauge tap (8), and when gauge tap (8) was closed, red light emitting diodes (5,6,7) was shinny, gave the pupil light stimulus.Battery (9) is also supplied with infrared ray responsive camera (3) and infrared light-emitting diode (2,4) electric energy.
On data processing, signal at first passes through threshold window, extracts the pupil feature behind the spatial filtering, and then rebuilds pupil edge.After this, parallel each feature is calculated and result and database data are compared, make the differentiation of whether sucking heroin at last.
In the time of in family uses,, just can observe the variation of pupil as long as signal pickup assembly is linked to each other with televisor.If just sucked drugs such as morphine soon, can be observed is little pupil than usual, if pupil is excessive, then may be to suck amphetamine or cocaines drugs.This instrument makes the head of a family to cooperate better and auxiliary child improves the effect of prohibition of drug drug rehabilitation.

Claims (2)

1, a kind of drug addict's pupillary movements method for quick, it is characterized in that this method reaches video signal collecting card computing machine in the mode of vision signal through the vision signal cable with the view data of pupil, do further Flame Image Process after becoming digital signal MPG4 pattern by the video analog to digital conversion; Compare with database, finally tested whether the drug abuse made differentiation; Concrete steps are:
1.1, detect the edge of pupil, the signal of elimination iris by spatial filtering and the mode that the gray scale window is set;
1.2 fit the shape of pupil, remove because the reflective pupil area breakage that causes;
1.3 the method with pattern-recognition identifies pupil in selected zone; What of the interior picture number that is comprised of pupil the 4th step calculated;
1.4 the change dynamics with Di Kaer coordinate demonstration pupil compares the data of collection and the large sample amount database of foundation on this basis, and the subject is made differentiation.
2, the device of the described detection method use of claim 1, form by glasses and computing machine, it is characterized in that: the eye-shade (1) that plastics are housed on the glasses, be fixed on the miniature close-shot camera (3) of an infrared-sensitive on the eye-shade (1) of plastics, the infrared light sources (2,4) that is made of LED is housed in the both sides of camera, and 3 red light emitting diodes (5 that are positioned at light shield the right, 6,7); Data acquisition and processing (DAP) software is housed in the computing machine.
CN 200410079526 2004-10-22 2004-10-22 Method and device for quick detecting of pupil dynamic changes of drug taking people Pending CN1629874A (en)

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Application Number Priority Date Filing Date Title
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101042732B (en) * 2006-03-22 2012-06-13 日立欧姆龙金融系统有限公司 Baffle of biometrics equipment
CN104586386A (en) * 2014-09-22 2015-05-06 中国科学院昆明动物研究所 Method for rapidly screening out drug addicts by means of electroencephalogram features and pupil dynamic change features
CN105512490A (en) * 2015-12-18 2016-04-20 北京铭光正讯科技有限公司 Wearable device for health detection based on iris information
CN110393504A (en) * 2018-04-24 2019-11-01 高金铎 A kind of method and device of pupil detection
CN113221594A (en) * 2020-01-17 2021-08-06 北京眼神智能科技有限公司 Iris identification and drug-taking detection method, device, readable storage medium and equipment
CN113405505A (en) * 2020-03-16 2021-09-17 同方威视技术股份有限公司 Method and device for determining distance and height based on multiple sensors
CN113509141A (en) * 2021-06-29 2021-10-19 昆明依利科特科技有限公司 Glasses type virus-involved behavior pupil detector and detection method
CN114120435A (en) * 2020-08-25 2022-03-01 深圳爱酷智能科技有限公司 Drug addict detection method, device, computer readable storage medium and equipment

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101042732B (en) * 2006-03-22 2012-06-13 日立欧姆龙金融系统有限公司 Baffle of biometrics equipment
CN104586386A (en) * 2014-09-22 2015-05-06 中国科学院昆明动物研究所 Method for rapidly screening out drug addicts by means of electroencephalogram features and pupil dynamic change features
CN104586386B (en) * 2014-09-22 2017-02-01 中国科学院昆明动物研究所 Method for rapidly screening out drug addicts by means of electroencephalogram features and pupil dynamic change features
CN105512490A (en) * 2015-12-18 2016-04-20 北京铭光正讯科技有限公司 Wearable device for health detection based on iris information
CN105512490B (en) * 2015-12-18 2018-09-28 北京铭光正讯科技有限公司 A kind of wearable device based on iris information detection health
CN110393504A (en) * 2018-04-24 2019-11-01 高金铎 A kind of method and device of pupil detection
CN110393504B (en) * 2018-04-24 2022-02-15 高金铎 Intelligent virus identification method and device
CN113221594A (en) * 2020-01-17 2021-08-06 北京眼神智能科技有限公司 Iris identification and drug-taking detection method, device, readable storage medium and equipment
CN113405505A (en) * 2020-03-16 2021-09-17 同方威视技术股份有限公司 Method and device for determining distance and height based on multiple sensors
CN114120435A (en) * 2020-08-25 2022-03-01 深圳爱酷智能科技有限公司 Drug addict detection method, device, computer readable storage medium and equipment
CN113509141A (en) * 2021-06-29 2021-10-19 昆明依利科特科技有限公司 Glasses type virus-involved behavior pupil detector and detection method

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