CN109330555A - A kind of intelligent eyesight detection based on cloud computing and training correction system - Google Patents
A kind of intelligent eyesight detection based on cloud computing and training correction system Download PDFInfo
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- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
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- A61B3/032—Devices for presenting test symbols or characters, e.g. test chart projectors
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Abstract
The intelligent eyesight detection that the present invention relates to a kind of based on cloud computing and training correction system, which includes identity verification module, detection information display module, logic judgment module and cloud data management module；The characteristics of this system is based on cloud computing technology, is verified using identity information and strengthens High relevancy between eyesight detection data and detected person's identity information, embodies identity anti-cheating will test data and upload to cloud in real time and analyzed, handled and fed back.The intelligent eyesight detection algorithm and visual training algorithm for having self-learning function can also compare and learn to big data beyond the clouds, the algorithm continued to optimize solves the drawbacks of complicated conventional vision detection process, inefficiency, optimize the process of eyesight detection, the comfort in detected person's detection process is enhanced, the accuracy of detection is improved.
Description
Technical field
The present invention relates to medical treatment, Internet technical field more particularly to a kind of intelligent eyesight detections based on cloud computing
With training correction system.
Background technique
Traditional eye test is using test type, and inspector indicates the letter e on visual chart, and examinee is according to institute
The opening of the letter e seen is towards gesticulating gesture.Inspector is according to the direction that the opening direction and gesture of letter e are gesticulated come really
Determine the eyesight of examinee.This behaviour has enough light intensities, cannot be too bright or too dark；It is indicated on test type simultaneously
1.0 a line should be equal with eye subject height of sighting line, cannot just differ too big, so needing according to different examinees'
The position of height adjustment test type.In addition, traditional eyesight exam method also needs the cooperation of personnel, cannot in real time into
Row eye test.
What presently used visual chart mainly checked is central vision, i.e. the inspection recessed visual acuity of macula retinae district center, from
And can easily and rapidly recognize the preliminary situation of visual function, there is important meaning to the clinical conditions of eye disease.It checks
Eyesight is generally divided into two class of distant vision and near vision, and distant vision mostly uses international standard visual chart, this table is that 12 rows are of different sizes
Different " E " the word composition of opening direction；Measurement is from 0.1-1.5 (or from 4.0-5.2)；Every row has label.Visual chart is according to view
The principle design at angle.So-called visual angle is exactly the light issued by extraneous two o'clock, is formed by angle through intraocular node.Positive reason
Under condition, it is minimal visual angle, i.e. one point of visual angle that the minimum range that human eye can tell point-to-point transmission, which is formed by visual angle,.Visual chart is exactly
It is designed as unit of one point of visual angle.It gives a test of one's eyesight at present and needs to go to special mechanism or hospital, and need it simultaneously
The cooperation and assistance of his personnel or doctor can just complete eyesight detection, operate extremely inconvenient.
Eyesight is our subjective feeling.We are that two eyes work together, and work as one when with the world soon
It is often ignored because of the work of another eyes when the decline of eye eyesight.Such as ametropia, cataract and other are slow
It happens frequently for the eye part disease of slow-motion exhibition.China's adolescent myopia is high-incidence to have become serious social concern, and myopia can be to life
Living, learning tape carrys out inconvenience.For myopia, pay attention to protecting eyesight, it is more present than treating near-sighted much more significant that prevention generates myopia
Education activities or business activity in, the use of projector has been popularized, and prolonged projection screen of watching will lead to visual fatigue,
If the light intensity in bad border and the brightness of projection are improper when viewing projection, eyesight can be also damaged, in addition, if projector is sent out
Light direct projection eyes out then have very major injury to eyesight.The eyesight protection function of projector on the market is single, not comprehensive enough,
Eyesight status after projection a period of time cannot being watched to user judges, so that further sight protectio measure is taken,
It is not smart enough.
With the raising of scientific and technological level, the high-tech products popularization degree such as computer, smart phone, tablet computer is higher and higher,
The use of these electronic products brings many conveniences to our life really, but very important is they while also band
Many harm are carried out, wherein the injury to eyesight is especially very important.No matter from the point of view of beautiful or health, to eyesight
Protection it is all particularly significant, especially for the teenager of growth stage, extraneous stimulation and itself it is bad with eye habit hold very much
Easily lead to visual impairment.Existing sight tester uses complicated at present, expensive, inconvenient, while function is excessively simple
It is single, it can not achieve automation interpretation of result, automated data storage comparison etc., exist so that sight tester is unable to large area
It popularizes and uses in the places such as hospital.
Visual exercise is clinically mainly used for the diagnosis and visual rehabilitation of visual fatigue, intervention to adolescent myopia nor
It is often important.Currently, some eye visual training equipments can carry out visual exercise, the eyeglass switching in these vision training instruments
Component, display assembly, sight segmentation component, even circuit controling assembly etc. all it is exposed outside, in this way, user can pass through
Some manual operation buttons on vision training instrument, or move or replace eyeglass etc. directly to realize visual exercise.As it can be seen that
Visual exercise is also relatively difficult to achieve intelligent and remotely controls.
It is protected in industry in view of today, the prior art is mainly following several, instrument, drug, Chinese medicine acupuncture, massage, gas
Function, eye sticker etc., effect and feature play surface and alleviate and auxiliary mostly not instead of from the root come of myopia
Effect, it is palliative, it is more little to the myopia effect of adult；And laser myopia corrective procedure is that the cornea of people is made
It is corrected at the shape of contact lenses, there are apparent sequelae, visual impairment rebound probability greatly, xerophthalmia probability is big,
Wind operation is nearly big etc.；It is increasing to the dependence of glasses that correction of wearing glasses will lead to eyes, and eyes tune originally is gradually lost from this
The function of section causes glasses deeper more wearing degree；Chinese medicine or massaging and physiotherapeutical instrument etc. are palliative to myopia, and effect is temporary,
Rebound is obvious；The defect of Ortho-K: the damage etc. for causing cornea different degrees of.
Therefore, how to realize give a test of one's eyesight conveniently, it is easy to operate and provide the intelligentized training program of eyesight, be colleague from
Industry urgent problem to be solved.
Summary of the invention
In view of the above problems, the present invention provides a kind of intelligent eyesight detection based on cloud computing and trained correction system,
The characteristics of strengthening the High relevancy between eyesight detection data and detected person's identity information, embodying identity anti-cheating, detection
Eyesight is convenient, process is simple, optimizes the process of eyesight detection, and can will test data upload in real time cloud analyzed,
Processing and feedback.
The present invention provides a kind of intelligent eyesight detection based on cloud computing and trained correction system, comprising: identity verification
Module, detection information display module, logic judgment module and cloud data management module；
The identity verification module, for verifying the identity information of detected person；
The detection information display module, for showing test information, for when detected person's identity information is verified
When correct, determine whether condition of the detected person before eyesight detects or training is corrected meets and be expected and for showing
State the testing result for the detection project that detected person is carried out；
The logic judgment module, for judging that the detected person carries out the result and the acquisition cloud of detection project
The logic judgment algorithm of end data management module adjustment simultaneously is completed to update；
The cloud data management module, for storing detected person's relevant information and for real-time storage, transmission
With the result data for handling detected person's progress detection project.
In one embodiment, the identity verification module includes: identity information acquisition module and identification module；
The identity information acquisition module, for acquiring the correlation of the detected person from the cloud data management module
Information completes the detected person and inquires identity record according to self information and report；
The identification module, for the detected person complete report after, to the detected person carry out face and
Fingerprint recognition.
In one embodiment, the identification module, comprising:
Face identification unit, for carrying out recognition of face each described detected person according to default head portrait photographic intelligence
Comparison；
Fingerprint typing unit, for obtaining institute when the face identification unit identifies that detected person's information is correct
Detected person's finger print information is stated, and is compared with preset fingerprint information.
In one embodiment, the fingerprint typing unit is also used in the absence of preset fingerprint information, then record is worked as
Detected person's finger print information of preceding acquisition, and upload to the cloud data management module.
In one embodiment, the detection information display module, comprising:
LCD display module, for showing eyesight detection icon, colour blindness detection chromatogram and astigmatism detection astigmatism disk
Sighting target；
Apart from detection module, for detecting the distance between display screen and detected person and detecting the detected person's
Height；
Voice reminder module, for being less than threshold when the distance between detection module detection display screen and detected person
When value, the voice reminder for not meeting testing conditions is issued；Or for the height and the LCD display module as the detected person
When the height of display test information mismatches, the voice reminder for not meeting testing conditions is issued.
In one embodiment, the LCD display module is also used to detect display screen and quilt apart from detection module when described
When distance is less than threshold value between tester, display does not meet the image of testing conditions or text is reminded；
Or for being mismatched when the height of the height of the detected person and LCD display module display test information
When, display does not meet the image of testing conditions or text is reminded.
In one embodiment, the detection information display module, further includes: clock module is recorded described tested based on
Survey person starts to detect the total time that detection is completed, and carries out the pre- of each single item detection project for setting the detected person
If count down time.
In one embodiment, the system also includes voice input modules, for obtaining the voice of the detected person
Data；
The logic judgment module, for when carrying out eyesight detection project, the voice data and the LCD to be shown
The test information that module is shown is compared；It is when comparison result is consistent, then aobvious by the voice reminder module and/or LCD
Show module, issues testing result and correctly remind.
The eyesight detection project includes: eyesight evaluation and test, chromatography detection, astigmatism detection and visual training.
In one embodiment, the logic judgment module is also used to record the process of each detected person test, root
According to accuracy, total testing time, the total time factor for reaching test request in detected person's test process, is learnt and adjusted
Testing algorithm；Or it logic judgment algorithm for receiving cloud data management module adjustment and completes to update.
In one embodiment, the logic judgment module is used when the eyesight detection project is visual training project
In evaluated and tested according to eyesight, chromatography detection and astigmatism detection as a result, the time of real-time adjusting training and the intensity of content.
The beneficial effect of above-mentioned technical proposal provided in an embodiment of the present invention includes at least:
A kind of intelligent eyesight detection based on cloud computing provided in an embodiment of the present invention and training correction system, the system
Based on cloud computing technology, the strong pass strengthened between eyesight detection data and detected person's identity information is verified using identity information
Connection property, the characteristics of embodying identity anti-cheating, will test data and upload to cloud in real time and analyzed, handled and fed back.Have certainly
The intelligent eyesight detection algorithm of learning functionality can also compare and learn to big data beyond the clouds with visual training algorithm,
The algorithm continued to optimize solves the drawbacks of complicated conventional vision detection process, inefficiency, optimizes the process of eyesight detection,
The comfort in detected person's detection process is enhanced, the accuracy of detection is improved.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation
Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings:
Fig. 1 is a kind of detection of intelligent eyesight and the signal of training correction system based on cloud computing provided by the invention
Figure.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
The intelligent eyesight detection that the embodiment of the invention provides a kind of based on cloud computing and training correction system, the system
It is related to test side computer and cloud server；Wherein test side computer is such as provided with camera, fingerprint recording device, language
Sound input equipment etc.；Illustrate with reference to the accompanying drawing.
Shown in referring to Fig.1: the system includes: identity verification module, detection information display module, logic judgment module and cloud
End data management module；
Wherein: identity verification module, for verifying the identity information of detected person comprising identity information acquisition module and
Identification module.
Identity information acquisition module: cloud data management module by the essential information of the good detected person of typing in advance such as:
The information such as name, gender, age, height and weight, photo imported into identity information acquisition module；Or by identity information acquisition mould
Essential information of the block from cloud data management module downloading detected person；It can basis after detected person reaches testing location
Self information inquires identity record and is reported.Cloud data management module can store a large amount of data, any one
Third party's data platform can be by data storage to cloud, so that cloud data management module of the invention be facilitated to put down with any
Platform carries out data docking, improves the efficiency filed, reported.
Identification module: it after completing report task, needs to detected person's further progress identity validation.Recognition of face
Module carries out recognition of face comparison, such as unit organization to each detected person according to the head portrait photographic intelligence that third party provides
Eyesight detection, the detected person's head portrait photo provided by the unit；The detected person's head portrait obtained by other means for another example
Photo etc.；After comparing, then detected person is enabled to input the detected person's finger print information prestored in finger print information and database
Confirmation is compared, the two can just carry out next eyesight detection and training correction process after being all verified.
In addition, in order to prevent in some cases can not the case where identity information acquisition module shifts to an earlier date typing finger print information,
And there is no the finger print informations prestored.So, scene can also supplement typing finger print information and be saved in the basic of detected person
In information, further, the storage of cloud data management module is uploaded to, is ready for identity information multiple authentication in the future.
The process passes through identity verification and confirmation by all kinds of means, improves identity information authentication property, and further improve identity information.
Detection information display module: the module is controlled by the control software of complete set, controls Integrated Simulation LCD
Display module, apart from detection module, voice reminder module etc..LCD display module is for showing test information, including such as
International " E " font icon detects " C " the word icon having higher requirements to eyesight, and is used for infant and teenager
" animal " icon of eyesight detection.Such as when needing to detect colour blindness and astigmatism, LCD display module can also show chromatogram and dissipate
CD sighting target.
Apart from detection module for detecting the distance between display screen and detected person.After starting detection, distance detection mould
The infrared inductor of block can scan the external physical characteristic of detected person and judge the height or current detected of detected person
The test mode (such as: stance or sitting posture) of person, can show proper height on a display screen as the case may be in this way
Detection information (such as: visual chart) improves the accuracy of detection and professional.Distance detection device can also detect detected person simultaneously
With the horizontal displacement distance of display screen.Such as carry out eyesight detection when, when detected person at a distance from display screen less than 5 meters when,
System will carry out the prompting of image and sound by display screen and voice reminder module；When detecting distance is greater than 5 meters, LCD
Display screen and voice reminder module will remind detected person that can start to test.Chromatography and astigmatism detection then can be according to specific
It is required that distance detection and prompting that setting is different.Clock module is divided into two parts timing, and first part is record detection total time,
After detected person starts detection, clock module starts timing, until terminating timing, testing result record after the completion of all detections
On can also show total used time；Second part is Split Time, which is designed as the form of countdown, with logic judgment module
It is associated, for example, the time limit that each single item detection project icon show be set as 10 seconds, it is overtime after logic judgment module can recorde for
Primary result compares mistake.Finally, the result after detection can be real-time transmitted to cloud data management module, cloud data management mould
The multiple eyesight detection data of block storage, can check asking for history testing result by what client was sent according to detected person
It asks, is shown by detection information display module.
Logic judgment module: this module judges according to the test result that detected person's voice inputs, test result
Input is controlled by voice input module.Wherein voice input module can refer to voice input and speech recognition skill in the prior art
Art.First detected person's voice say will carry out detection project (such as: eyesight detection, colour blindness detection, astigmatism detection, view
Power training), it will enter in corresponding project after confirmation.The algorithm detected in logic judgment module about three has cloud algorithm
Detection and self-learning capability.With one of algorithm illustrate logic judgment process: when carry out eyesight detection, colour blindness detection and
When astigmatism detects, voice input information is compared logic judgment module with the information that display module is shown: if the two is consistent,
Detected person " correct " information is then informed by voice reminder module and LCD display；Such as the test information that display screen is shown
For " E " icon, opening is to the left；Detected person says " opening is to the left ", " to the left " or " left side opening ", can be considered as detected
The answer of person is consistent with test information.Then, system can then show the test patterns of same test grades for detected person into
Row detection, (such as: when eyesight detects, the icon meeting random display of same opening direction of different sizes is multiple；Colour blindness and astigmatism inspection
When survey, corresponding pattern also can random display it is multiple), the purpose of this way is that conjecture answer etc. occurs in detected person in order to prevent
Cheating interference detection results, when the continuous correct number of detected person is equal to 3 times, after detection process terminates and executes
Operation.By speech recognition, if comparison information occurs inconsistent, logic judgment module can give first in same test grades
Another random test icon detects again for detected person out, again comparison result, if still there is inconsistent, module general
Display upper level test icon is detected, and can carry out next step detection after as a result comparing correctly, this process voice reminder
Module and LCD display can also provide " mistake " information for reminding, and will move out detection process after continuous 5 mistakes.
Above-mentioned detection algorithm is not limited to one kind, and software program will record the process of each detected person test, according to
Reach during detected person's actual test the factors such as accuracy, total testing time, the total time of test request constantly learn and
Adjust the algorithm of test；Such as: it is carried out continuously and tests twice, continuously identification correctly identifies opening side to first detected person three times
It is 6 times to total degree used, second detected person continuously identifies that total degree used in correct mark opening direction is three times
10 times, the parameters such as the total time tested twice, total testing time, accuracy are different；Each detected person continuously answers questions
Three times the case where be it is different, to continuously answer questions three times, the total opportunity of somebody may be 6 times, it is also possible to 10 times；
For example a people has answered 6 times, first 2 times are right, the 3rd mistake, just continuously answer questions 3 times for last 3 times, this, which is just calculated, passes through test.This time-histories
Sequence will be learnt according to above data and be adjusted the display logic identified in test process, such as changed the display time, changed
Display level, change evaluation criterion etc..
Specifically, for example the such case that each people is occurred can during the test of the system is as a Sample preservation
Data management module beyond the clouds, algorithm routine just will do it analysis to these a large amount of sample datas: be a certain method
Testing procedure is too long (for example total time-consuming is too long or to answer total degree too many), or either with or without necessity every a line visual chart all
Display is primary, or when identifying too small, the accuracy of detected person has been too low etc., changes time, the test of test
Difficulty etc., formation, which allows be detected, feels most comfortable test process, and here it is the updated algorithms of self study.
Updated algorithm can also save in data management module beyond the clouds, and between algorithms of different, system software can also be looked for
Similarity, the advantage of each algorithm between each algorithm are sought, to carry out the recombination between algorithm, combination and optimization, is formed
New algorithm is detected for detected person, and the detection next time or the detection of other detected persons for being embodied as detected person provide continuous
Perfect detection method.
By taking the visual training in above-mentioned detection project as an example, visual training contains the training step of three phases: basis
Trained, advanced training, relaxation training, it is proposed that detected person is trained in sequence, if there is system mistake or power-off restarting
Etc. emergency cases when, detected person can carry out selection training step.Before training starts, LCD display can provide subtitle prompt:
" please guarantee sight and subtitle holding horizontal " simultaneously, voice cue module can also provide corresponding voice prompting, can make in this way by
Tester adjusts the location of oneself, guarantees optimal training effect.Grounding method are as follows: LCD display can constantly be broadcast
" E " the word mark or " C " word mark putting certain speed amplification and reducing, when human eye can see clearly the opening of mark towards when, pass through language
Sound input module says corresponding direction, and background program will record the accuracy operated every time, calculate training after training
The accuracy rate of process simultaneously preserves data.During grounding can make human eye be in constantly focusing, to take exercise
Ciliary muscle strengthens the crystalline body function of adjusting of ciliary muscle, to improve eyesight.Advanced training method are as follows: LCD display can be according to
Certain speed, which plays, has " E " word mark or " C " word target inverse picture, and detected person observes the opening direction identified on picture,
And say corresponding direction and training can be completed by voice input module identification, same background program will record the standard operated every time
True property calculates the accuracy rate of training process and preserves data after training.Advanced training can be such that human eye is taking exercise
The ability to color recognition is improved while ciliary muscle, enhances perception and identification of the human eye to color.Relaxation training method are as follows:
LCD display can constantly play the dynamic bead mark according to circular motion, irregular movement, and detected person's eyes follow bead
Movement can reach the effect for loosening ciliary muscle group.
The algorithm of visual training process is likewise supplied with the characteristics of self study, intelligent recommendation and manual intervention.It is examined according to eyesight
The Different Results of survey, time, the intensity of training content etc. of visual training process meeting adjusting training.After a period of time, if same
When detected person carries out eyesight detection again, visual training process can also be carried out according to current detection result and history testing result
Comparison, the automatic visual training project and training method for recommending detected person to be suitble to.Specifically, cloud data management module can be protected
The data that each detected person carried out eyesight detection and visual training are left, including being detected for different eyesight degree
The information such as the eyesight improving degree after the project for the training that person is carried out, the duration of training and training (such as testing result and view
The process of power training, the two is corresponding), system algorithm will compare these information, screening, recombination, last shape
The training method of Cheng Xin recommends detected person.Manual intervention measure is examined from the professional technique of doctor and the angle of experience
Consider, determine more accurately visual training scheme for detected person, on the one hand embodies detected person for private customized
Property demand, on the other hand avoid the problem for causing training effect bad due to certain systems and personal inadaptability.Depending on
The algorithm of power training also algorithm update platform constantly can learn and update beyond the clouds.
Cloud data management module: this module includes that detected person's relevant information and detected person carry out detection project data
Real-time storage, data transmission and data processing function.Store function is by the detection information in above-mentioned logic judgment module
It is stored, including: result, the colour blindness testing result, astigmatism testing result, the accuracy rate of visual training of eyesight detection,
Total used time etc. is detected, further includes identity identifying and authenticating information.Data transmission is that this system has opened uploading and downloading for data and connects
Mouthful, every detection data information and identity information can interact transmission with any third party's data platform, if needed
Further data are analyzed, handle and are optimized using third party's data platform.Data processing be then for eyesight detection with
The data that visual training process generates are analyzed and are exported as a result, and the algorithm of continuous renewal is downloaded to logic judgment mould
Eyesight detection process is continued to optimize in block, realization.
Intelligent eyesight detection provided in an embodiment of the present invention based on cloud computing and training correction system, are based on cloud
Computing technique, realize the system docked with the data of any third party's data platform, shared and storage, improve data can
Usability plays the maximum value of data.Eyesight detection data is strengthened using identity information acquisition, identification and is detected
High relevancy between person's identity information, meets requirement of the special industry to identity information at the characteristics of embodying identity anti-cheating.For
The core for embodying cloud will test data and upload to cloud in real time and analyzed, handled and fed back, has self-learning function
Intelligent eyesight detection algorithm can also big data be compared and be learnt beyond the clouds with visual training algorithm, continue to optimize
Algorithm solve the drawbacks of complicated conventional vision detection process, inefficiency, optimize the process of eyesight detection, enhance by
Comfort in tester's detection process improves the accuracy of detection.Eyesight instruction is introduced on the basis of conventional vision detection
Practicing process settles detection with treatment at one go, has saved time and cost, training for promotion effect.Intelligent recommendation and manual intervention
Detection project, also embody the specialization and personalization of the system.On the one hand from the professional technique of doctor and the angle of experience
Consider, determine more accurately visual training scheme for detected person, on the one hand embodies detected person for private customized
On the other hand individual demand avoids the problem for causing training effect bad due to certain systems and personal inadaptability.
A kind of intelligent eyesight detection based on cloud computing provided by the invention and training correction system.The system provides quilt
Tester establish file from identity, identity-acquiring, identification, eyesight detection, visual training, complete check process, may be used also
It is shared with the data interaction of third party's data platform etc. to provide data exchange.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of intelligent eyesight detection based on cloud computing and training correction system characterized by comprising identity verification mould
Block, detection information display module, logic judgment module and cloud data management module；
The identity verification module, for verifying the identity information of detected person；
The detection information display module, for display test information, for being verified correctly when detected person's identity information
When, it determines whether condition of the detected person before eyesight detects or training is corrected meets and is expected and for showing the quilt
The testing result for the detection project that tester is carried out；
The logic judgment module, for judging that the detected person carries out the result and the acquisition cloud number of detection project
According to management module adjustment logic judgment algorithm and complete to update；
The cloud data management module, for storing detected person's relevant information and for real-time storage, transmission and place
Manage the result data that the detected person carries out detection project.
2. the system as claimed in claim 1, which is characterized in that the identity verification module includes: identity information acquisition module
And identification module；
The identity information acquisition module, for acquiring the related letter of the detected person from the cloud data management module
Breath, completes the detected person and inquires identity record according to self information and report；
The identification module after completing report for the detected person, carries out face and fingerprint to the detected person
Identification.
3. system as claimed in claim 2, which is characterized in that the identification module, comprising:
Face identification unit, for carrying out recognition of face pair each described detected person according to default head portrait photographic intelligence
Than；
Fingerprint typing unit, for obtaining the quilt when the face identification unit identifies that detected person's information is correct
Tester's finger print information, and be compared with preset fingerprint information.
4. system as claimed in claim 3, which is characterized in that the fingerprint typing unit is also used to when preset fingerprint information
In the absence of, then the detected person's finger print information currently obtained is recorded, and upload to the cloud data management module.
5. the system as claimed in claim 1, which is characterized in that the detection information display module, comprising:
LCD display module, for showing eyesight detection icon, colour blindness detection chromatogram and astigmatism detection astigmatism disk view
Mark；
Apart from detection module, for detecting the body of the distance between display screen and detected person and the detection detected person
It is high；
Voice reminder module, for being less than threshold value when the distance between detection module detection display screen and detected person
When, issue the voice reminder for not meeting testing conditions；Or for being shown when the height of the detected person and the LCD display module
When showing that the height of test information mismatches, the voice reminder for not meeting testing conditions is issued.
6. system as claimed in claim 5, which is characterized in that the LCD display module is also used to detect mould when the distance
When distance is less than threshold value between block detection display screen and detected person, display does not meet the image of testing conditions or text is reminded；
Or for showing when the height of the height of the detected person and LCD display module display test information mismatches
Show that the image for not meeting testing conditions or text are reminded.
7. system as claimed in claim 5, which is characterized in that the detection information display module, further includes: clock module,
The detected person is recorded based on to start to detect the total time that detection is completed, and is carried out often for setting the detected person
The default count down time of one detection project.
8. system as claimed in claim 7, which is characterized in that the system also includes voice input modules, for obtaining
State the voice data of detected person；
The logic judgment module is used for when carrying out eyesight detection project, by the voice data and the LCD display module
The test information of display is compared；When comparison result is consistent, then mould is shown by the voice reminder module and/or LCD
Block issues testing result and correctly reminds.
The eyesight detection project includes: eyesight evaluation and test, chromatography detection, astigmatism detection and visual training.
9. system as claimed in claim 8, which is characterized in that it is tested to be also used to record each for the logic judgment module
The process of survey person's test, according to reach in detected person's test process the accuracy of test request, total testing time, total time because
Element is learnt and is adjusted testing algorithm；Or the logic judgment algorithm for receiving the cloud data management module adjustment is simultaneously
It completes to update.
10. system as claimed in claim 8, which is characterized in that the logic judgment module, when the eyesight detection project is
When visual training project, it is also used to according to eyesight evaluation and test, chromatography detection and astigmatism detection as a result, the time of real-time adjusting training
With the intensity of content.
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