CN112932402A - Self-service vision screening system based on artificial intelligence and intelligent perception - Google Patents
Self-service vision screening system based on artificial intelligence and intelligent perception Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/0285—Phoropters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/032—Devices for presenting test symbols or characters, e.g. test chart projectors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
Abstract
The invention provides a self-service vision screening system based on artificial intelligence and intelligent perception, which comprises: the system comprises a screening detection unit, a visual analysis platform and a user query unit; the screening detection unit is used for carrying out automatic vision detection on the detected object and uploading automatic vision detection data to the visual analysis platform; the visual analysis platform is used for carrying out structured storage on automatic vision detection data of the detected object, carrying out primary judgment on the stored data to obtain a primary detection result, forming a final detection database according to the primary detection result, checking the data of the final detection database by a screener to confirm the final detection result, and notifying the detected object of rechecking when the data is abnormal; the user query unit is used for querying vision detection results of the tested object or the user with the login account.
Description
Technical Field
The invention relates to the technical field of automation control, in particular to a self-service vision screening system based on artificial intelligence and intelligent perception.
Background
The prevalence of myopia increases year by year, the age of onset is significantly advanced, and impaired or blind persons require sighted adult care, so that such caregivers also lose personal productive time to care for blind persons resulting in a 10% loss of productivity and to care for impaired persons resulting in a 5% loss of productivity. The traditional vision screening needs a screener to perform vision refraction detection firstly, then a recorder performs manual recording, an EXCEL form is recorded, and finally a doctor checks the EXCEL form through the form or guides the form into a system platform to perform comprehensive checking, so that the speed is low, the efficiency is low, the labor consumption is high, data is easy to make mistakes, information management is lacked, and cross-department coordination is troublesome.
In summary, it is an urgent need to solve the problem of the technical staff in the art to provide a self-help vision screening system based on artificial intelligence and intelligent perception, which has high efficiency, reliable data and reduced labor cost.
Disclosure of Invention
In order to solve the problems and requirements mentioned above, the present solution provides a self-service vision screening system based on artificial intelligence and intelligent perception, which can solve the above technical problems by adopting the following technical solutions.
In order to achieve the purpose, the invention provides the following technical scheme: a self-service vision screening system based on artificial intelligence and intelligent perception, comprising: the system comprises a screening detection unit, a visual analysis platform and a user query unit;
the screening detection unit is connected with the visual analysis platform in a wireless transmission mode and is used for carrying out automatic vision detection on the detected object and uploading automatic vision detection data to the visual analysis platform;
the visual analysis platform is used for carrying out structured storage on automatic vision detection data of the detected object, carrying out primary judgment on the stored data to obtain a primary detection result, forming a final detection database according to the primary detection result, checking the data of the final detection database by a screener to confirm the final detection result, and notifying the detected object of rechecking when the data is abnormal;
the user query unit is used for querying vision detection results of the tested object or the user with the login account, and the user query unit is connected with the visual analysis platform in a wireless transmission mode.
Furthermore, the screening detection unit comprises an identity information input device, an intelligent auxiliary detection host, a vision detection module, a refraction detection module and a sampling retest module, wherein the identity information input device is connected with the intelligent auxiliary detection host, and after the identity information of the detected object is successfully input, comprehensive vision detection can be carried out through the intelligent auxiliary detection host, the vision detection module and the refraction detection module;
the identity information input device comprises a camera for acquiring the image information of a detected object, an image processing module for converting the identity image information into digital information and a data association module, wherein the camera acquires face image information, identity card image information containing the identity information of the detected object or two-dimensional code image information, the image processing module is connected with the camera, the image processing module receives an image signal from the camera, compares the processed identity information with the identity information stored in the database storage module, judges whether the detection is the initial detection or not, sends the identity information to the data association module when the detection is the initial detection, associates the identity information with automatic vision detection data through the data association module, otherwise sends a signal to the intelligent auxiliary detection host, inquiring whether the tested object is retested or not by the intelligent auxiliary detection host;
the intelligent auxiliary detection host is arranged at a vision detection position, and the vision detection module and the intelligent auxiliary detection host are oppositely arranged and used for displaying a test sighting mark;
the vision detection module and the refraction detection module are connected with the data correlation module;
the sampling retest module is used for randomly sampling retest the tested object after on-site screening is completed, and the sampling retest module is connected with the intelligent auxiliary detection host.
Furthermore, the intelligent auxiliary detection host comprises a first image recognition module, a voice interaction device, a guide module and a data uploading module;
the first image recognition module is used for automatically recognizing the position of a detected object and automatically detecting which eye is blocked at present, the detected eye is the eye, the first image recognition module is connected with the voice interaction device, when the first image recognition module recognizes that the pose or the blocking action of a user is wrong, a signal is sent to the voice interaction device, and the voice interaction device reminds the user to correct the pose or the blocking action;
the voice interaction device is used for voice interaction of the tested object; the guiding module is connected with the voice interaction device and used for guiding a user to carry out pose adjustment and detection according to the set steps and the user completion degree; the data uploading module is connected with the data association module and uploads the automatic vision detection data with identity information to the visual analysis platform.
Furthermore, the vision test module is including being used for showing the liquid crystal eyesight screen of sighting target and being used for carrying out random change module to the sighting target, change the module with the voice interaction device is connected, and the user passes through the voice interaction device carries out voice feedback to the sighting target on the liquid crystal eyesight screen, the voice interaction device is right voice feedback information discerns and sends the recognition result for change the module, change the module and change the sighting target according to the recognition result.
Furthermore, the refraction detection module comprises an automatic computer optometry instrument and a second image identification module, when the detected object is subjected to refraction detection, the eye is adjusted in a detection area of the automatic computer optometry instrument, the second image identification module connected with the automatic computer optometry instrument automatically identifies the eyeball and positions the pupil according to an image algorithm, and the degree and the column direction degree of the eye are measured to obtain refraction detection information.
Furthermore, the visual analysis platform comprises a screener management module, a database storage module, a screening list and a display terminal for visually displaying the screening data;
the screener management module is used for storing the registered legal screener information into the screener information storage database, calling certain screener information according to a set screening plan, comparing the certain screener information with the screener information for rechecking, if the screener information is consistent with the screener information for rechecking, successfully verifying the identity of the screener for rechecking, and informing the tested object of rechecking when the data is finally determined to be abnormal, otherwise, reminding the screener that the information is wrong and the data rechecking cannot be performed;
the database storage module is used for storing automatic vision detection data, screener information, initial examination results and standard parameter data, the database storage module comprises a vision detection database, a screener information storage database, a final examination database and a standard parameter database, the final examination database is connected with the screening list, and a screener who performs rechecking can select the screening list through the screening list and generate a screening form;
the screener management module and the database storage module are both connected with the display terminal.
Furthermore, the visual analysis platform also comprises a real-time analysis module, a grading reference module and a health report recording module;
the real-time analysis module is used for receiving automatic vision detection data uploaded by the intelligent auxiliary detection host, comparing the automatic vision detection data with standard parameter data in the standard parameter library, and performing annotation prompt and abnormal early warning when the range of the automatic vision detection data exceeds the range of the standard parameter data;
the hierarchical consulting module is used for carrying out hierarchical management on information of a data consulting requester and distributing different authorities through a resource classification list, a user can read accessible resource data according to corresponding authority information, the resource classification list is used for classifying the resource data, and the resource classification list comprises an access role name, a resource configuration code and a resource access upper limit value;
the health report recording module is connected with an education and health big data and database and a physical health detection system and is used for establishing a visual health file and drawing visual change cycle curves of different age groups and different sexes according to visual data in the final inspection database for statistical analysis.
Furthermore, the user inquiry unit is connected with the hierarchical inquiry module, the user inquiry unit completes identity authentication according to a holding account and a newly applied login account through a mobile phone or a network-connected intelligent terminal, and then accesses the visual analysis platform, and the hierarchical inquiry module calls the related data of the database storage module according to identity authority and a user inquiry request.
According to the technical scheme, the invention has the beneficial effects that: the invention realizes detection guidance and reminding through intelligent voice interaction, can also carry out intelligent analysis on detection data, automatically detects abnormity, has higher efficiency and reliable data, can reduce the labor cost, and does not need professional personnel to operate.
In addition to the above objects, features and advantages, preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings so that the features and advantages of the present invention can be easily understood.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments of the present invention or the prior art will be briefly described, wherein the drawings are only used for illustrating some embodiments of the present invention and do not limit all embodiments of the present invention thereto.
Fig. 1 is a schematic diagram of a composition structure of a self-help vision screening system based on artificial intelligence and intelligent perception.
Fig. 2 is a schematic diagram of a structure of an intelligent auxiliary detection host according to the present invention.
Fig. 3 is a schematic view of the structure of the identity input device of the present invention.
Fig. 4 is a schematic flow chart of a visual screening review flow chart in this embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of specific embodiments of the present invention. Like reference symbols in the various drawings indicate like elements. It should be noted that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
The self-service vision screening system based on artificial intelligence and intelligent perception, which can automatically detect abnormality, has high efficiency and reliable data and can reduce the labor cost, is provided by the invention. As shown in fig. 1 to 4, the system includes: screening detecting element, visual analysis platform and user inquiry unit, visual data such as the ball mirror of the measurand left and right eyes such as student can be gathered automatically through screening detecting element, the cylinder, axis and interpupillary distance, and with corresponding measurand such as student this visual data correlation upload to visual analysis platform, visual analysis platform judges whether there is the anomaly according to standard vision parameter, carry out early warning and warning reinspection when there is the anomaly, visual analysis platform can be connected with education, big data of health and systems such as database and physique health detecting system and be used for establishing vision health archives, carry out many ways dynamic monitoring. In addition, parents and the like can inquire the eyesight condition of children through the user inquiry unit to find and correct the eyesight condition as soon as possible.
In the system, the screening detection unit is connected with the visual analysis platform in a wireless transmission mode, and the screening detection unit is used for carrying out automatic vision detection on the detected object and uploading automatic vision detection data to the visual analysis platform.
Screening detecting element includes that identity information types device, intelligent auxiliary detection host computer, visual detection module, refraction detection module and sample retest module, identity information types the device with the intelligent auxiliary detection host computer is connected, and after the identity information of measurand types success, the accessible the intelligent auxiliary detection host computer visual detection module with refraction detection module carries out the comprehensive detection of vision. Wherein, the identity information input device comprises a camera for acquiring the image information of the object to be detected, an image processing module for converting the identity image information into digital information and a data association module, the camera acquires face image information, identity card image information or two-dimensional code image information containing the identity information of the object to be detected, the image processing module is connected with the camera, the image processing module receives the image signal from the camera, compares the processed identity information with the identity information stored in the database storage module, judges whether the detection is the initial detection or not, sends the identity information to the data association module when the detection is the initial detection, associates the identity information with automatic vision detection data through the data association module, otherwise sends a signal to the intelligent auxiliary detection host, inquiring whether the tested object is retested or not by the intelligent auxiliary detection host, wherein the vision detection module and the refraction detection module are connected with the data association module; the intelligent auxiliary detection host is arranged at a vision detection position, and the vision detection module is arranged at a distance of about 5m relative to the intelligent auxiliary detection host and is used for displaying a test sighting mark; the sampling retest module is used for carrying out random sampling retest on the measured object after the on-site screening is completed, the sampling retest module is connected with the intelligent auxiliary detection host computer, in the embodiment, the sampling retest module adopts a random sampling algorithm to sample the sequence number according to the sequence number codes of all the personnel screened at this time, the corresponding sample sequence number is retested, and the accuracy of the test data is calculated according to the data of the first test and the retest data.
The intelligent auxiliary detection host comprises a first image recognition module, a voice interaction device, a guide module and a data uploading module; the first image recognition module is used for automatically recognizing the position of a detected object, automatically detecting which eye is blocked by adopting an iris positioning algorithm, and detecting which eye is detected, the first image recognition module is connected with the voice interaction device, when the first image recognition module recognizes that the pose or the blocking action of a user is wrong, a signal is sent to the voice interaction device, and the voice interaction device reminds the user to correct the pose or the blocking action; the voice interaction device is used for voice interaction of the tested object; the guiding module is connected with the voice interaction device and used for guiding a user to carry out pose adjustment and detection according to the set steps and the user completion degree; the data uploading module is connected with the data association module and uploads the automatic vision detection data with identity information to the visual analysis platform. In this embodiment, the voice interaction device includes a voice recognition chip, a voice conversion chip, a pickup head and a speaker, where the pickup head is connected with the voice recognition chip to read and recognize voice information input by a tested object, and the voice conversion chip is connected with the guidance module and the speaker to output a guidance or feedback instruction through the speaker.
In this embodiment, the visual acuity test module is including the liquid crystal visual acuity screen that is used for showing the sighting target and being used for carrying out random change module to the sighting target, change the module with voice interaction device is connected, and the user passes through voice interaction device carries out voice feedback to the sighting target on the liquid crystal visual acuity screen, voice interaction device is right voice feedback information discerns and sends the recognition result for change the module, change the module and change the sighting target according to the recognition result, then be used for the detected object to detect.
The refraction detection module comprises an automatic computer optometry instrument and a second image identification module, when the object to be detected is subjected to refraction detection, the eye is adjusted in a detection area of the automatic computer optometry instrument, the second image identification module connected with the automatic computer optometry instrument automatically identifies an eyeball and positions a pupil according to an image algorithm and an iris positioning algorithm, and the degree and the cylindrical degree of the eye are measured to obtain refraction detection information.
The visual analysis platform is used for carrying out structured storage on automatic vision detection data of the detected object, carrying out primary judgment on the stored data to obtain a primary detection result, then forming a final detection database according to the primary detection result, and a screener confirms the final detection result by rechecking the data of the final detection database and informs the detected object of rechecking when the data are abnormal. The visual analysis platform comprises a screener management module, a database storage module, a screening list and a display terminal for visually displaying screening data; the screener management module is used for storing the registered legal screener information into the screener information storage database, calling certain screener information according to a set screening plan, comparing the certain screener information with the screener information for rechecking, if the screener information is consistent with the screener information for rechecking, successfully verifying the identity of the screener for rechecking, and informing the tested object of rechecking when the data is finally determined to be abnormal, otherwise, reminding the screener that the information is wrong and the data rechecking cannot be performed; the database storage module is used for storing automatic vision detection data, screener information, initial examination results and standard parameter data, the database storage module comprises a vision detection database, a screener information storage database, a final examination database and a standard parameter database, the final examination database is connected with the screening list, and a screener who performs rechecking can select the screening list through the screening list and generate a screening form; the screener management module and the database storage module are both connected with the display terminal.
The visual analysis platform also comprises a real-time analysis module, a grading reference module and a health report recording module; the real-time analysis module is used for receiving the automatic vision detection data uploaded by the intelligent auxiliary detection host, comparing the automatic vision detection data with standard parameter data in the standard parameter library, and performing annotation prompting and abnormity early warning when the range of the standard parameter data is exceeded, for example, R6S +2.00C-0.25A 108: the right eye hyperopia 200 degree myopic astigmatism 25 degree axis is 108 degrees L8S +2.00C-0.50A 147: left eye hyperopia 200 degree myopic astigmatism 50 degree axis is a147 degree result: hyperopia slight astigmatism is noted with eye hygiene and diet. The hierarchical consulting module is used for carrying out hierarchical management on information of a data consulting requester and distributing different authorities through a resource classification list, a user can read accessible resource data according to corresponding authority information, the resource classification list is used for classifying the resource data, and the resource classification list comprises an access role name, a resource configuration code and a resource access upper limit value; the health report recording module is connected with an education and health big data and database and a physical health detection system and is used for establishing a visual health file and drawing visual change cycle curves of different age groups and different sexes according to visual data in the final inspection database for statistical analysis.
When parents or relevant monitoring personnel want to inquire about vision data, the accessible user inquiry unit inquires, the user inquiry unit is used for the user inquiry vision test result of measurand or holding login account number, the user inquiry unit with visual analysis platform passes through wireless transmission's mode and connects. The user inquiry unit with the module is looked up in grades is connected, user inquiry unit accessible cell-phone or networking intelligent terminal's APP or public number webpage link accomplish authentication according to the login account who holds account and newly apply for, and then visit visual analysis platform, and visual analysis platform look up in grades the module and transfer according to identity authority and user inquiry request database storage module's relevant data supplies the user to look over. The vision screening and rechecking process of the system is shown in fig. 4, and after the student starts vision screening, the student is prompted to prepare to enter a detection process. And voice interaction, gradually guiding students to carry out detection, displaying a detection result when the detection is finished, and automatically submitting the detection result to the platform. If the student has completed the test, the student is asked whether to retest, and the screener reviews the submitted results to see if retesting is required.
The invention can lead students or other tested objects to finish the vision detection by self through the intelligent vision screening equipment and combining with the intelligent auxiliary means, and automatically finish the importing, analyzing and filing of data, finally form a data report and provide data support for the establishment of myopia prevention and control systems of children, teenagers and the like. By combining myopia prevention and control screening data, eye use conditions and the like, schools, governments, medical institutions and parents can jointly monitor and prevent the eyesight of students, and the normal growth of physical and mental health of teenagers is guaranteed.
It should be noted that the described embodiments of the invention are only preferred ways of implementing the invention, and that all obvious modifications, which are within the scope of the invention, are all included in the present general inventive concept.
Claims (8)
1. The utility model provides a self-service vision screening system based on artificial intelligence and intelligent perception which characterized in that includes: the system comprises a screening detection unit, a visual analysis platform and a user query unit;
the screening detection unit is connected with the visual analysis platform in a wireless transmission mode and is used for carrying out automatic vision detection on the detected object and uploading automatic vision detection data to the visual analysis platform;
the visual analysis platform is used for carrying out structured storage on automatic vision detection data of the detected object, carrying out primary judgment on the stored data to obtain a primary detection result, forming a final detection database according to the primary detection result, checking the data of the final detection database by a screener to confirm the final detection result, and notifying the detected object of rechecking when the data is abnormal;
the user query unit is used for querying vision detection results of the tested object or the user with the login account, and the user query unit is connected with the visual analysis platform in a wireless transmission mode.
2. The self-service vision screening system based on artificial intelligence and intelligent perception as claimed in claim 1, wherein the screening detection unit comprises an identity information input device, an intelligent auxiliary detection host, a vision detection module, a refraction detection module and a sampling retest module, the identity information input device is connected with the intelligent auxiliary detection host, and after the identity information of the detected object is successfully input, comprehensive vision detection can be performed through the intelligent auxiliary detection host, the vision detection module and the refraction detection module;
the identity information input device comprises a camera for acquiring the image information of a detected object, an image processing module for converting the identity image information into digital information and a data association module, wherein the camera acquires face image information, identity card image information containing the identity information of the detected object or two-dimensional code image information, the image processing module is connected with the camera, the image processing module receives an image signal from the camera, compares the processed identity information with the identity information stored in the database storage module, judges whether the detection is the initial detection or not, sends the identity information to the data association module when the detection is the initial detection, associates the identity information with automatic vision detection data through the data association module, otherwise sends a signal to the intelligent auxiliary detection host, inquiring whether the tested object is retested or not by the intelligent auxiliary detection host;
the intelligent auxiliary detection host is arranged at a vision detection position, and the vision detection module and the intelligent auxiliary detection host are oppositely arranged and used for displaying a test sighting mark;
the vision detection module and the refraction detection module are connected with the data correlation module;
the sampling retest module is used for randomly sampling retest the tested object after on-site screening is completed, and the sampling retest module is connected with the intelligent auxiliary detection host.
3. The self-service vision screening system based on artificial intelligence and intelligent perception according to claim 2, wherein the intelligent auxiliary detection host comprises a first image recognition module, a voice interaction device, a guide module and a data uploading module;
the first image recognition module is used for automatically recognizing the position of a detected object and automatically detecting which eye is blocked at present, the detected eye is the eye, the first image recognition module is connected with the voice interaction device, when the first image recognition module recognizes that the pose or the blocking action of a user is wrong, a signal is sent to the voice interaction device, and the voice interaction device reminds the user to correct the pose or the blocking action;
the voice interaction device is used for voice interaction of the tested object; the guiding module is connected with the voice interaction device and used for guiding a user to carry out pose adjustment and detection according to the set steps and the user completion degree; the data uploading module is connected with the data association module and uploads the automatic vision detection data with identity information to the visual analysis platform.
4. The self-service vision screening system based on artificial intelligence and intelligent perception as claimed in claim 3, wherein the vision detection module comprises a liquid crystal vision screen for displaying a visual target and a replacing module for randomly replacing the visual target, the replacing module is connected with the voice interaction device, a user carries out voice feedback on the visual target on the liquid crystal vision screen through the voice interaction device, the voice interaction device identifies the voice feedback information and sends an identification result to the replacing module, and the replacing module replaces the visual target according to the identification result.
5. The self-service vision screening system based on artificial intelligence and intelligent perception according to claim 4, wherein the refraction detection module comprises an automatic computer optometry unit and a second image recognition module, when a measured object performs refraction detection, an eye is adjusted in a detection area of the automatic computer optometry unit, the second image recognition module connected with the automatic computer optometry unit automatically recognizes an eyeball and positions a pupil according to an image algorithm, and the degree and the column orientation degree of the eye are measured to obtain refraction detection information.
6. The self-service vision screening system based on artificial intelligence and intelligent perception according to claim 5, wherein the visual analysis platform comprises a screener management module, a database storage module, a screening list and a display terminal for visually displaying screening data;
the screener management module is used for storing the registered legal screener information into the screener information storage database, calling certain screener information according to a set screening plan, comparing the certain screener information with the screener information for rechecking, if the screener information is consistent with the screener information for rechecking, successfully verifying the identity of the screener for rechecking, and informing the tested object of rechecking when the data is finally determined to be abnormal, otherwise, reminding the screener that the information is wrong and the data rechecking cannot be performed;
the database storage module is used for storing automatic vision detection data, screener information, initial examination results and standard parameter data, the database storage module comprises a vision detection database, a screener information storage database, a final examination database and a standard parameter database, the final examination database is connected with the screening list, and a screener who performs rechecking can select the screening list through the screening list and generate a screening form;
the screener management module and the database storage module are both connected with the display terminal.
7. The self-service vision screening system based on artificial intelligence and intelligent perception according to claim 6, wherein the visual analysis platform further comprises a real-time analysis module, a grading review module and a health report recording module;
the real-time analysis module is used for receiving automatic vision detection data uploaded by the intelligent auxiliary detection host, comparing the automatic vision detection data with standard parameter data in the standard parameter library, and performing annotation prompt and abnormal early warning when the range of the automatic vision detection data exceeds the range of the standard parameter data;
the hierarchical consulting module is used for carrying out hierarchical management on information of a data consulting requester and distributing different authorities through a resource classification list, a user can read accessible resource data according to corresponding authority information, the resource classification list is used for classifying the resource data, and the resource classification list comprises an access role name, a resource configuration code and a resource access upper limit value;
the health report recording module is connected with an education and health big data and database and a physical health detection system and is used for establishing a visual health file and drawing visual change cycle curves of different age groups and different sexes according to visual data in the final inspection database for statistical analysis.
8. The self-service vision screening system based on artificial intelligence and intelligent perception as claimed in claim 7, wherein the user query unit is connected with the hierarchical query module, the user query unit completes identity verification according to a holding account and a newly applied login account through a mobile phone or a network-enabled intelligent terminal, and then accesses the visual analysis platform, and the hierarchical query module retrieves relevant data of the database storage module according to identity authority and a user query request.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN115458105A (en) * | 2022-09-16 | 2022-12-09 | 江苏至真健康科技有限公司 | Rapid filing method and system for eye screening |
| CN115527348A (en) * | 2022-09-23 | 2022-12-27 | 江苏至真健康科技有限公司 | Alarm method and system for self-service vision screening instrument |
| CN115715666A (en) * | 2022-11-18 | 2023-02-28 | 深圳技术大学 | Self-service eyesight detection system |
| CN115732091A (en) * | 2022-11-24 | 2023-03-03 | 深圳安视信息技术有限公司 | Self-service vision screening system |
| CN116504378A (en) * | 2023-06-26 | 2023-07-28 | 杭州目乐医疗科技股份有限公司 | Control method and system of vision screening instrument |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115054198A (en) * | 2022-06-10 | 2022-09-16 | 广州视域光学科技股份有限公司 | Remote intelligent vision detection method, system and device |
| CN115458105A (en) * | 2022-09-16 | 2022-12-09 | 江苏至真健康科技有限公司 | Rapid filing method and system for eye screening |
| CN115458105B (en) * | 2022-09-16 | 2023-05-09 | 江苏至真健康科技有限公司 | Quick filing method and system for eye screening |
| CN115527348A (en) * | 2022-09-23 | 2022-12-27 | 江苏至真健康科技有限公司 | Alarm method and system for self-service vision screening instrument |
| CN115715666A (en) * | 2022-11-18 | 2023-02-28 | 深圳技术大学 | Self-service eyesight detection system |
| CN115715666B (en) * | 2022-11-18 | 2023-08-15 | 深圳技术大学 | Vision self-help detection system |
| CN115732091A (en) * | 2022-11-24 | 2023-03-03 | 深圳安视信息技术有限公司 | Self-service vision screening system |
| CN116504378A (en) * | 2023-06-26 | 2023-07-28 | 杭州目乐医疗科技股份有限公司 | Control method and system of vision screening instrument |
| CN116504378B (en) * | 2023-06-26 | 2023-10-31 | 杭州目乐医疗科技股份有限公司 | Control method and system of vision screening instrument |
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