CN107713981A - A kind of AI ophthalmology health detection equipment and its detection method - Google Patents
A kind of AI ophthalmology health detection equipment and its detection method Download PDFInfo
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- CN107713981A CN107713981A CN201710931452.5A CN201710931452A CN107713981A CN 107713981 A CN107713981 A CN 107713981A CN 201710931452 A CN201710931452 A CN 201710931452A CN 107713981 A CN107713981 A CN 107713981A
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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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/103—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining refraction, e.g. refractometers, skiascopes
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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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
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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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/16—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring intraocular pressure, e.g. tonometers
- A61B3/165—Non-contacting tonometers
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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
- A61B3/18—Arrangement of plural eye-testing or -examining apparatus
- A61B3/185—Arrangement of plural eye-testing or -examining apparatus characterised by modular construction
Abstract
The present invention relates to a kind of AI ophthalmology health detection equipment and its detection method, belong to ophthalmology health detection technical field, the detection device includes eye information acquisition module (1), mainboard (2), voice interaction module (3), user interface (4), network communication module (5), cloud computing module (6) and output module (7), eye information acquisition module (1), voice interaction module (3), user interface (4), network communication module (5) and output module (7) are connected by wired with mainboard (2), network communication module (5) is connected by wireless network with cloud computing module (6).AI ophthalmology health detection equipment and its detection method of the present invention have the advantages of hommization degree is high, detection efficiency is high and testing result quality is high, can be widely applied to market.
Description
Technical field
The present invention relates to ophthalmology health detection technical field, and in particular to a kind of AI ophthalmology health detection equipment and its detection
Method.
Background technology
In recent years, as development in science and technology is maked rapid progress, the electronic product fast development such as mobile phone, computer, the life to people
While bringing convenient, the burden of user's eyes has also been aggravated.Eye disease becomes younger, eyes inferior health is in Chinese middle-aged adults
In constantly spread, the incidence of disease of ophthalmology disease also rises year by year.Morbidity the lighter of ophthalmology disease influences visual performance, and severe one is even
Blinding, has a strong impact on the life of patient, thus is increasingly valued by people.However, when symptoms of eye diseases treatment has healing
The drawbacks of machine evening, slowly effect, curative effect difference, be just progressively converted to early prevention, early diagnosis, the ophthalmology disease of early treatment are preventative
Treatment.It is the preventative-therapeutic emphasis of ophthalmology disease that ophthalmology health detects in advance, and detection device is whether excellent for detection
The height of outcome quality plays conclusive effect.In the existing patent on ophthalmology health detection equipment, exist it is following not
Foot：(1) local computing is dependent on the processor of single chip computer that computational efficiency is low, storage is small, it is impossible to ensures system steady operation；(2)
The user interface of user oriented design, is only interacted by touch-screen scheme, and mode is single, and interactive voice technology is not used and enters
Row Voice command, fail to embody the friendly of hommization；(3) although some patents employ cloud computing technology, only it is conceived to
The store function of big data, ignore the powerful data calculating of cloud server and analytic function, especially in artificial intelligence technology
Utilization in terms of all do not refer to.Informationization, hommization and the intellectuality of ophthalmology health detection equipment at present is still ophthalmology health
The focus of detection device invention.
The content of the invention
It is an object of the invention to provide a kind of AI ophthalmology health detection equipment and its detection method, to solve existing eye
Testing result quality during section's health detection equipment use is relatively low, time-consuming, inadequate hommization etc. in detection process for detection
Problem.
To achieve the above object, the present invention relates to a kind of AI ophthalmology health detection equipment, the AI ophthalmology health detection
Equipment includes eye information acquisition module (1), mainboard (2), voice interaction module (3), user interface (4), network communication module
(5), cloud computing module (6) and output module (7), eye information acquisition module (1), voice interaction module (3), user interface
(4), network communication module (5) and output module (7) are connected by wired with mainboard (2), and network communication module (5) is by wireless
Network is connected with cloud computing module (6), wherein, the eye information acquisition module (1), the collection for eye information；It is described
Voice interaction module (3), external intelligent sound interactive device, for receiving user speech instruction and in intelligent sound interactive device
Data transmission is carried out between mainboard (2)；The external Touch Screen of the user interface (4), for receiving user instruction and touching
Control and data transmission is carried out between screen and mainboard (2)；The mainboard (2) is used for eye information acquisition module (1), interactive voice mould
Data storage, transmission, analysis and processing between block (3), user interface (4) and cloud computing module (6)；The network communication mould
The data transmission that block (5) is used between mainboard (2) and cloud computing module (6)；The cloud computing module (6) is used for gathering eye
Data make further analysis and processing and send result to mainboard (2), at the same the analysis of massive store optical data with
User profile, software and algorithm data needed for processing；The output module (7) installs print-out device, for printing life
Into examining report.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the eye information acquisition module (1) includes automatic optometry
Machine, full-automatic fundus camera and full-automatic non-contact tonometer, wherein, automatic eye refractometer according to ergonomic designs,
Using advanced microprocessor and the fast image processing technology measurement concave-sphere vertex lens power of eyes, cylindrical mirror axle position, cylindrical mirror vertex lens power and
During interpupillary distance dioptric parameter, user can feel to loosen with comfortably；Full-automatic fundus camera shooting eye retina cell tissue figure
As during, can automatic tracing pupil position focused, user is without mydriasis；Full-automatic non-contact tonometer measurement intraocular pressure
During value, linear jet control is carried out by special chip, operation can be carried out from motion tracking eyeball, eyes of user without protecting for a long time
Hold fixed position relative, whole eye information gathering process more hommization.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the mainboard (2) is built-in with data converter, by eye
The numeral and image information that information acquisition module (1) collects are converted to electric signal, and are mounted with cloud computing and interactive voice institute
The driving needed and interface, concentrating type solid state hard disc, directly to receive the data result of cloud computing analysis and processing, and carry out in time
Man machine language interacts, to ensure the high efficiency of local computing.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the voice interaction module (3) is equipped with least eight microphone
The array of composition, accomplish that 360 degrees omnidirection receives without dead angle audio, improve the definition of phonetic incepting.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, wireless network are long-range by the network communication module (5)
Access and the operation interface of control mainboard (2), the personnel that maintain easily remotely monitor or debug.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the cloud computing module (6) takes with outside large-scale cloud computing
Business device (such as AWS, google cloud computing of Ali's cloud, Amazon) is connected, and the processing of basic operation is carried out in mainboard (2),
And then server is carried out beyond the clouds with processing for analysis, the calculating of big data, the high storage capacity and height of Cloud Server are made full use of
Arithmetic speed, cost is reduced, improve efficiency.Cloud server will be analyzed and processed on the user data and information completed simultaneously
Network is reached, user inquires about the case history and history detection information of oneself on the internet, real without having to worry about the loss of papery case history
The long-time monitoring of current family health status.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, voice interaction module (3) receiving terminal is handed over using voice
Mutual equipment carries out language identification, and background application Recognition with Recurrent Neural Network carries out phonetic synthesis and natural language processing, speech recognition, language
Sound synthesizes and natural language processing relevant device is integrated in same AI ophthalmology health detection with cloud computing module (6) server and set
Standby, parallel connection enters network, allows equipment to become more intelligent and hommization in itself.
To achieve the above object, the invention further relates to a kind of AI ophthalmology health detecting method, using above-mentioned AI ophthalmology health
Detection device, the detection method comprise the following steps：Eye information acquisition module (1) uses automatic eye refractometer measurement eyes
The dioptric parameters such as concave-sphere vertex lens power, cylindrical mirror axle position, cylindrical mirror vertex lens power, interpupillary distance, full-automatic fundus camera are thin to eye retina
Born of the same parents' tissue is imaged, and full-automatic non-contact tonometer measures intraocular pressure value, and the eye information of collection is sent to through wired
Mainboard (2)；The numeral and image information that collect are converted into electric signal by mainboard (2) onboard data converter；Simultaneously receive from
The director data that voice interaction module (3) and user interface (4) are sent, and these director datas are analyzed and handled
Afterwards, then by eye information data by the wireless network of network communication module (5) it is sent to cloud computing module (6)；Cloud computing mould
Block (6) carries out user's Physiological And Biochemical Parameters analysis using image processing algorithm, deep learning algorithm to eye information data, and right
After optical data is calculated and analyzed, the detailed examining report of patient's patient's condition is generated, user's examining report is stored in cloud for a long time
Server is held, for internet access；Voice interaction module (3) and user interface (4) also carry in examining report generating process
The user speech collected is sent to high in the clouds and handled by the function for user to environment inquiry, device Host, high in the clouds artificial intelligence
Program is according to speech processes result search expert knowledge base and provides answer；Cloud computing module (6) ties data analysis and processing
Fruit is sent to mainboard (3) by the wireless network of network communication module (5), and mainboard (3) is to data through analyzing with after processing, then sending out
User interface (4) and voice interaction module (3) are delivered to, so that user checks in Touch Screen, while equipment output module (7) is beaten
Printing paper matter version examining report.
The present invention relates to above-mentioned AI ophthalmology health detecting method, the user interface (4) and the voice interaction module (3)
Under the support of the cloud computing module (6), three kinds of selection detection services or inquiry testing result mode are provided the user：Touch-control
ScreenMode and/or interactive voice mode.
The present invention relates to above-mentioned AI ophthalmology health detecting method, analysis, processing and the storage work of the eye information collected
Work is not carried out on the mainboard (2), but is carried out in cloud computing plate (6) cloud server.
The invention has the advantages that：
The present invention relates to a kind of AI ophthalmology health detection equipment and its detection method, its advantage is mainly manifested in hommization journey
Degree is high, detection efficiency is high, testing result quality is high, can be widely applied to market etc.：First, hommization degree is high, main table
It is existing：Automatic eye refractometer for eye information gathering is according to ergonomic designs, and when eye detects, user feels to loosen
With it is comfortable；, can automatic tracing pupil position pair in full-automatic fundus camera shooting eye retina cell tissue image process
Jiao, user is without mydriasis；Full-automatic non-contact tonometer measurement intraocular pressure value, linear jet control is carried out by special chip,
Operation can be carried out from motion tracking eyeball, eyes of user without keeping fixed position relative for a long time；Enter using artificial intelligence technology
Row design, including the user interface (4) of user oriented design and the language that data extraction and feedback can be carried out by cloud server
Sound interactive module (3), in addition to it can select by Touch Screen, it is also an option that carrying out man-machine friendship by interactive voice
Stream, user are more convenient to use.2nd, detection efficiency is high：The powerful cloud server of cloud computing module (6), is applied not only to
The storage of big data, moreover it is possible to carry out big data analysis, improve the speed that data are calculated, handle and analyzed, shorten ophthalmology inspection
The time of survey, cost is reduced, improve efficiency.3rd, testing result quality is high：Integrated design large database concept, expert knowledge library,
The powerful computing functions such as intelligent expert diagnosis, cloud computing and data processing function, server background be provided with it is achievable
The cloud computing module (6) of the programs such as the image processing algorithm and deep learning algorithm of the analysis of user's Physiological And Biochemical Parameters, its high in the clouds
Server is all integrated in same ophthalmology health detection equipment with speech-sound intelligent equipment in voice interaction module (3), ensure that inspection
Survey the comprehensive and comprehensive of result；Feedback mechanism after testing result poll-final, ophthalmology health detection knot is examined again
The accuracy of fruit, comprehensive, comprehensive and accuracy health analysis report is assembled, finally ensure that the high-quality of testing result
Amount.4th, it can be widely applied to market：The large database concept of the equipment cloud computing module (6), cloud computing are combined with internet, can be wide
It is general to be used for market, benefit masses.
Brief description of the drawings
Fig. 1 is the structural representation for the AI ophthalmology health detection equipment that the embodiment of the present invention 1 provides.
Fig. 2 is the step flow chart for the AI ophthalmology health detecting methods that the embodiment of the present invention 2 provides.
Description of reference numerals：1 --- eye information acquisition module；2 --- mainboard；3 --- voice interaction module；4——
User interface；5 --- network communication module；6 --- cloud computing module；7 --- output module.
Embodiment
Following examples are used to illustrate the present invention, but are not limited to the scope of the present invention.
Embodiment 1
The structure of present device is described in detail with reference to Fig. 1：
Fig. 1 is the structural representation for the AI ophthalmology health detection equipment that the embodiment of the present invention 1 provides, as shown in figure 1, the AI
Ophthalmology health detection equipment include eye information acquisition module (1), mainboard (2), voice interaction module (3), user interface (4),
Network communication module (5), cloud computing module (6) and output module (7), eye information acquisition module (1), voice interaction module
(3), user interface (4), network communication module (5) and output module (7) are connected by wired with mainboard (2), network communication mould
Block (5) is connected by wireless network with cloud computing module (6), wherein, the eye information acquisition module (1) is used for eye information
Collection；The external intelligent sound interactive device of voice interaction module (3), for receiving user speech instruction and in intelligence
Data transmission is carried out between interactive voice equipment and mainboard (2)；The external Touch Screen of the user interface (4), used for receiving
Family instructs and data transmission is carried out between Touch Screen and mainboard (2)；The mainboard (2) is used for eye information acquisition module
(1), between voice interaction module (3), user interface (4) and cloud computing module (6) data storage, transmission, analysis and processing；
The data transmission that the network communication module (5) is used between mainboard (3) and cloud computing module (6)；The cloud computing module (6)
Sent for being made further analysis and processing to the optical data collected, and by result to mainboard (2), while great Rong
User profile, software and algorithm data of the amount storage optical data analysis needed for processing；Output module (7) the installation printing
Output device, for printing the examining report of generation.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the eye information acquisition module (1) includes automatic optometry
Machine, full-automatic fundus camera and full-automatic non-contact tonometer, wherein, automatic eye refractometer according to ergonomic designs,
Using advanced microprocessor and the fast image processing technology measurement concave-sphere vertex lens power of eyes, cylindrical mirror axle position, cylindrical mirror vertex lens power and
During interpupillary distance dioptric parameter, user can feel to loosen with comfortably；Full-automatic fundus camera shooting eye retina cell tissue figure
As during, can automatic tracing pupil position focused, user is without mydriasis；Full-automatic non-contact tonometer measurement intraocular pressure
During value, linear jet control is carried out by special chip, operation can be carried out from motion tracking eyeball, eyes of user without protecting for a long time
Hold fixed position relative, more hommization in whole eye information gathering process.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the mainboard (2) except be mounted with video card, sound card, internal memory,
Outside to the common features such as a series of custom interfaces such as external equipment and integrated infrared, bluetooth, 802.11 (Wi-Fi), number is also built-in with
According to converter, the numeral and image information that eye information acquisition module (1) is collected are converted to electric signal, and are mounted with
Driving and interface, concentrating type solid state hard disc needed for cloud computing and interactive voice, with directly receive cloud computing analysis and processing
Data result, and man machine language's interaction is carried out in time, to ensure the high efficiency of local computing.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, it is mixed that voice interaction module (3) receiving terminal is provided with solution
Sound and denoising device, the array of more than the 8 microphones composition received equipped with 360 degrees omnidirection without dead angle audio, can be improved
Receive the definition of voice.Using using advanced interactive voice equipment collection user voice, language identification, background application are carried out
The Recognition with Recurrent Neural Network (RNN) of powerful deep learning function carries out phonetic synthesis and natural language processing, and speech recognition, voice close
Same AI ophthalmology health detection equipment is integrated in into natural language processing relevant device and cloud computing module (6) server,
Parallel connection enters network, allows equipment to become more intelligent and hommization in itself.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the user interface (4) by wired connection mainboard (2),
Again by mainboard (2) be connected high in the clouds, using Touch Screen as display and control terminal, for user select detection service and inquiry testing result,
The content such as case history and history detection information；Device Host is connected with high in the clouds, and the microphone of main frame can be used for collection user voice, raise
Sound device can be used for exporting sound, and the natural-sounding for the Program Generating that high in the clouds exports loudspeaker with artificial intelligence technology instructs to use
Family, user directly can also be carried out interactive by voice and equipment.
The present invention relates to above-mentioned AI ophthalmology health detection equipment, the network communication module (5) uses IEEE 802.11a/
B/g/n/ac communication standards, wireless network is relied on to be communicated, wireless signal built in equipment use (uses insertion with intelligent terminal
Formula computing device, low in energy consumption, task immigration to high in the clouds) data exchange operation is carried out, and intelligent terminal is connected with internet, by institute
Data must be detected it is uploaded to system for cloud computing and be analyzed, generates related test results.Wireless network passes through the network communication
Module (5) remotely accesses and the operation interface of control mainboard (2), and the personnel that maintain easily remotely monitor or debug.
Above-mentioned AI ophthalmology health detection equipment of the present invention, the cloud computing module (6) mainly include communication, number
According to function compositions such as storehouse, knowledge base, data processing, intelligent expert diagnosis and system UI.Made using the high-end servers of more than 8
Based on equipment, with reference to Intel Virtualization Technology, using the unified centrally stored pattern of data, and with outside large-scale cloud computing
Server (such as AWS, google cloud computing of Ali's cloud, Amazon) is connected, and local device mainboard (2) only handles basic fortune
Calculate, analysis, the calculating of big data are then positioned over cloud server with processing.Make full use of the high storage capacity and height of Cloud Server
Arithmetic speed, cost is reduced, improve efficiency.The cloud server of the cloud computing module (6) will analyze and process simultaneously
Into user data and information be uploaded to network, user inquires about the case history and history detection information of oneself on the internet, without
The loss of worry papery case history, accomplish the long-time monitoring of user health situation, realize that the morning of eye disease finds, early prevent,
Real-time diagnosis and health control.
Above-mentioned AI ophthalmology health detection equipment of the present invention, the output module (7) install print-out device, will
The scope of examination such as eye basic data and image, generates detailed examining report, and print.
Embodiment 2
The detection method of the present invention is described in detail with reference to Fig. 2：
Fig. 2 is the step flow chart for the AI ophthalmology health detecting methods that the embodiment of the present invention 2 provides, as shown in Fig. 2 the AI
Equipment needed for ophthalmology health detecting method uses above-mentioned AI ophthalmology health detection equipment, and the AI ophthalmology health detecting method is specific
Comprise the following steps：
First, detection service selects：User determines ophthalmology disease according to itself eye actual conditions, and under the guidance of doctor
Disease prevention subject option.The step by user by device user interface (4) and voice interaction module (3), in cloud computing module
(6) completed under support.Wherein, user interface (4) and voice interaction module (3) will pass through wired biography from the instruction that user receives
Mainboard (2) is sent, the information that mainboard (2) finishes from cloud computing module (6) advanced processing and analysis again, is sent to Touch Screen and language
Sound interactive device.This equipment provides three kinds of modes and carries out services selection for user：
(a) detection service is selected by Touch Screen：User shows after username and password is inputted according to Touch Screen
Show, select service detection project.
(b) detection service is selected by voice message：External equipment microphone is for gathering user voice, loudspeaker is used for
Sound is exported, user directly can also be putd question to by voice to equipment；Equipment is connected with cloud server, and the voice messaging of collection passes
High in the clouds analyzing and processing is delivered to, information finally proceeds to voice interaction module (3) progress after phonetic synthesis, natural language processing
People-machine is interactive, and this pattern can also help user to select detection project.
(c) selection detection service is combined by Touch Screen and voice message：That is the combination of mode (a) and mode (b).
2nd, eye information gathering：Eye information acquisition module (1) is burnt using the concave-sphere top of automatic eye refractometer measurement eyes
Degree, cylindrical mirror axle position, cylindrical mirror vertex lens power and interpupillary distance dioptric parameter, full-automatic fundus camera are carried out to eye retina cell tissue
Imaging, full-automatic non-contact tonometer measure intraocular pressure value, while the eye information that eye information acquisition module (1) will collect
Mainboard (2) is sent to through wired.
3rd, eye information analysis and processing：Mainboard (2) onboard data converter turns the numeral and image information that collect
Turn to electric signal；The director data sent from voice interaction module (3) and user interface (4) is received simultaneously, and to these
After director data is analyzed and handled, then eye information data is sent to by the wireless network of network communication module (5)
Cloud computing module (6)；Cloud computing module (6) is used eye information data using image processing algorithm, deep learning algorithm
The analysis of family Physiological And Biochemical Parameters, and after optical data is calculated and analyzed, generate the detailed examining report of patient's patient's condition, use
Family examining report is stored in cloud server for a long time, and supplies internet access.
4th, testing result is inquired about：Cloud computing module (6) sends data analysis and result to mainboard (2), mainboard
(2) data are sent to user interface (4) and language after analyzing and handling, then by the wireless network of network communication module (5)
Sound interactive module (3), checked for user in Touch Screen.If user to testing result without query, after user's output order, if
Standby output module (7) printing papery version examining report.
5th, testing result is fed back：After testing result generation terminates, if having a question can be by voice interaction module (3) by user
Putd question to user interface (4) to equipment, the user speech collected is sent to high in the clouds and handled by device Host, high in the clouds artificial intelligence
Program is according to speech processes result search expert knowledge base and provides answer, finally determines testing result.
Present device and its detection method are further described with reference to operation principle：
Automatic eye refractometer in eye information acquisition module (1) for eye information gathering according to ergonomic designs,
When eye detects user feel to loosen with comfortably；Full-automatic fundus camera shooting eye retina cell tissue image, can
Automatic tracing pupil position is focused, and user is without mydriasis；Full-automatic non-contact tonometer measurement intraocular pressure data, pass through special core
Piece carries out linear jet control, operation can be carried out from motion tracking eyeball, eyes of user without keeping fixed position relative for a long time；
It is designed using artificial intelligence technology, including the user interface (4) of user oriented design and the voice by cloud server
Interactive module (3), in addition to it can select by Touch Screen, it is also an option that man-machine communication is carried out by interactive voice,
User is more convenient to use.
The powerful cloud computing server of cloud computing module (6), is applied not only to the storage of big data, moreover it is possible to carries out big data point
Analysis, the speed that data are calculated, handle and analyzed is improved, the time of ophthalmology detection is shortened, reduces cost, improve effect
Rate.
The powerful meters such as cloud computing module (6) integrated design large database concept, expert knowledge library, intelligent expert diagnosis, cloud computing
Calculate function and data processing function, its server background is provided with the image of achievable user's Physiological And Biochemical Parameters analysis
The programs such as Processing Algorithm, deep learning algorithm.Cloud computing module (6) is combined with artificial intelligence technology, is integrated in same eye
Section's health detection equipment, it ensure that the comprehensive and comprehensive of testing result；Feedback mechanism after testing result poll-final, then
The secondary accuracy for examining ophthalmology health detection result, comprehensive, comprehensive and accuracy health analysis report is assembled, most
The high quality of testing result is ensure that eventually.
The large database concept of cloud computing module (6), cloud computing are combined with internet, can be widely used in market, be benefited masses.
Although above with general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention, belong to the scope of protection of present invention.
Claims (10)
1. a kind of AI ophthalmology health detection equipment, it is characterised in that the AI ophthalmology health detection equipment is adopted including eye information
Collect module (1), mainboard (2), voice interaction module (3), user interface (4), network communication module (5), cloud computing module (6) with
And output module (7), eye information acquisition module (1), voice interaction module (3), user interface (4), network communication module (5)
It is connected with output module (7) by wired with mainboard (2), network communication module (5) passes through wireless network and cloud computing module (6)
It is connected, wherein,
The eye information acquisition module (1), the collection for eye information；
The voice interaction module (3), external intelligent sound interactive device, for receiving user speech instruction and in intelligent sound
Data transmission is carried out between interactive device and mainboard (2)；
The user interface (4), external Touch Screen, for receiving user instruction and entering between Touch Screen and mainboard (2)
Row data transmit；
The mainboard (2), for eye information acquisition module (1), voice interaction module (3), user interface (4) and cloud computing mould
Storage, transmission, analysis and the processing of data between block (6)；
The network communication module (5), for the data transmission between mainboard (2) and cloud computing module (6)；
The cloud computing module (6), for collection optical data make further analysis and processing and by result send to
Mainboard (2), while user profile, software and algorithm data of the massive store optical data analysis needed for processing；
The output module (7), print-out device is installed, for printing the examining report of generation.
2. AI ophthalmology health detection equipment as claimed in claim 1, it is characterised in that eye information acquisition module (1) bag
Automatic eye refractometer, full-automatic fundus camera and full-automatic non-contact tonometer are included, and by built in wired and mainboard
External equipment interface connection.
3. AI ophthalmology health detection equipment as claimed in claim 1, it is characterised in that the mainboard (2) is built-in with data conversion
Device, by eye information acquisition module (1) collect numeral and image information be converted to electric signal, and be mounted with cloud computing and
Driving and interface, concentrating type solid state hard disc needed for interactive voice, directly to receive the data result of cloud computing analysis and processing,
And man machine language's interaction is carried out in time.
4. AI ophthalmology health detection equipment as claimed in claim 1, it is characterised in that the voice interaction module (3) is equipped with extremely
The array of few 8 microphones composition, accomplishes that 360 degrees omnidirection receives without dead angle audio.
5. AI ophthalmology health detection equipment as claimed in claim 1, it is characterised in that wireless network passes through the network communication mould
Block (5) remotely accesses and the operation interface of control mainboard (2), remotely monitor or debug.
6. AI ophthalmology health detection equipment as claimed in claim 1, it is characterised in that the cloud computing module (6) and outside are big
Type cloud computing server is connected, and the processing of basic operation is carried out in mainboard (2), and the analysis of big data, calculating, processing and storage
Then server progress beyond the clouds is deposited, while the cloud server of the cloud computing module (6) will analyze and process the number of users completed
Network is uploaded to according to information, user inquires about the case history and history detection information of oneself on the internet, without having to worry about papery disease
The loss gone through, realize the long-time monitoring of user health situation.
7. AI ophthalmology health detection equipment as claimed in claim 1, it is characterised in that the voice interaction module (3) receives
End carries out language identification using interactive voice equipment, and background application Recognition with Recurrent Neural Network is carried out at phonetic synthesis and natural language
Reason, speech recognition, phonetic synthesis and natural language processing relevant device and cloud computing module (6) server are integrated in same AI
Ophthalmology health detection equipment, parallel connection enter network.
8. a kind of AI ophthalmology health detecting method, using such as claim 1 to 7 any one AI ophthalmology health detection equipment, its
It is characterised by, the detection method comprises the following steps：
Eye information acquisition module (1) measures concave-sphere vertex lens power, cylindrical mirror axle position, the cylindrical mirror vertex lens power of eyes using automatic eye refractometer
With interpupillary distance dioptric parameter, full-automatic fundus camera is imaged to eye retina cell tissue, full-automatic contactless eye
Pressure meter measurement intraocular pressure value, while the eye information collected is sent to mainboard (2) by eye information acquisition module (1) through wired；
The numeral and image information that collect are converted into electric signal by mainboard (2) onboard data converter；Receive simultaneously from voice
The director data that interactive module (3) and user interface (4) are sent, and after these director datas are analyzed and handled,
Eye information data is sent to cloud computing module (6) by the wireless network of network communication module (5) again；
Cloud computing module (6) carries out user's Physiology and biochemistry using image processing algorithm and deep learning algorithm to eye information data
Parameter analysis, and after optical data is calculated and analyzed, generate the detailed examining report of patient's patient's condition, user's examining report
Cloud server is stored in for a long time, for internet access；
Voice interaction module (3) and user interface (4) also provide work(of the user to environment inquiry in examining report generating process
Can, the user speech collected is sent to high in the clouds and handled by device Host, and high in the clouds artificial intelligence program is according to speech processes result
Search expert knowledge base simultaneously provides answer；
Cloud computing module (6) sends data analysis and result to mainboard by the wireless network of network communication module (5)
(2), mainboard (2) is retransmited to user interface (4) and voice interaction module (3), existed for user to data after analyzing and handling
Touch Screen is checked, while equipment output module (7) printing papery version examining report.
9. AI ophthalmology health detecting method as claimed in claim 8, it is characterised in that the user interface (4) and the voice
Interactive module (3) provides the user three kinds of selection detection services or inquiry detection knot under the support of the cloud computing module (6)
Fruit mode：Touch Screen mode and/or interactive voice mode.
10. AI ophthalmology health detecting method as claimed in claim 8, it is characterised in that the analysis of the eye information collected, place
Reason is not carried out with storage work on the mainboard (2), but is carried out in cloud computing plate (6) cloud server.
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