CN207851897U - The tutoring system of artificial intelligence based on TensorFlow - Google Patents
The tutoring system of artificial intelligence based on TensorFlow Download PDFInfo
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Abstract
The utility model discloses a kind of tutoring systems of the artificial intelligence based on TensorFlow, including power module, image collecting device, processor, several Teaching Modules and display module；Power module is used to provide operating voltage for each component；Processor connects each Teaching Module, and the image information of the object to be identified for receiving image acquisition device is detected identifying processing to image information, obtains detection identification image information；Corresponding Teaching Module is selected according to detection identification image information, and detection identification image information is transmitted to corresponding Teaching Module；Teaching Module is used to generate the content of courses according to detection identification image information and preset teaching resource；Display module connection processing device completes teaching for showing detection recognition result and playing the content of courses.The utility model not only reduces study threshold；And inside can store a large amount of education resource, can mitigate the burden of books, improve learning initiative, and student is made to give the interest to study for change.
Description
Technical field
The utility model is related to field of Educational Technology more particularly to a kind of teaching of the artificial intelligence based on TensorFlow
System.
Background technology
Artificial intelligence is research, develops intelligent theory, method, technology and the application for simulating, extending and extending people
One new technological sciences of system.With the development of science and technology, the application field of artificial intelligence has been deep into people's life
Every aspect living.Artificial intelligence is a branch of computer science, it attempts to understand the essence of intelligence, and produces one kind
The new intelligence machine that can be made a response in such a way that human intelligence is similar, the research in the field include robot, language identification,
Image recognition, natural language processing and expert system etc..
In traditional type course of education, learning life is comparatively laborious and uninteresting, usually can be right after prolonged study
It is weary of, the quality of study is seriously affected.And traditional books education, the learning initiative of student are also poor.
Utility model content
The purpose of this utility model is to provide a kind of tutoring system of the artificial intelligence based on TensorFlow, can be direct
It selects corresponding Teaching Module to carry out related teaching according to the image information of image acquisition device, reduces study threshold；And
And inside can store a large amount of education resource, can mitigate the burden of books, improve learning initiative, and student is made to give for change pair
The interest of study.
The utility model provides a kind of tutoring system of the artificial intelligence based on TensorFlow, including power module,
Image collecting device, processor, several Teaching Modules and display module；
The power module is connect with described image harvester, processor, Teaching Module and display module respectively,
For providing described image harvester, processor, Teaching Module and the operating voltage of display module；
Described image harvester, is connected to the processor, the image information for acquiring object to be identified, and by institute
It states image information and is transmitted to the processor；
The processor connects each Teaching Module, for receiving described image information, to described image information into
Row detection identifying processing obtains detection identification image information；Identify that image information selects the corresponding religion according to the detection
Module is learned, and detection identification image information is transmitted to the corresponding Teaching Module；
The Teaching Module, for generating the content of courses according to detection identification image information and preset teaching resource；
The display module connects the processor, and religion is completed for showing detection recognition result and playing the content of courses
It learns.
As a kind of embodiment, the tutoring system of the artificial intelligence provided by the utility model based on TensorFlow
It further include communication module；
The communication module connects the processor, so that external server is carried out with processor for passing through communication module
Data interaction, and teaching resource is downloaded in corresponding Teaching Module.
As a kind of embodiment, the Teaching Module is basic Teaching Module and high-order Teaching Module；
The elementary teaching module, connects the processor, for being taught according to detection identification image information and preset basis
It learns resource and generates elementary teaching content；
The high-order Teaching Module, connects the processor, for being taught according to detection identification image information and preset high-order
It learns resource and generates the high-order content of courses.
As a kind of embodiment, the elementary teaching module includes support vector machines teaching unit and Bayes's classification
Device teaching unit；
The support vector machines teaching unit, the content of courses of principle and application for generating support vector machines；
The Bayes classifier teaching unit, the content of courses for generating Bayes classifier principle and application.
As a kind of embodiment, the high-order Teaching Module includes picture classification teaching unit, Chinese Character Recognition teaching
Unit, teaching unit of mixing the spurious with the genuine, target detection teaching unit, artistic style migration teaching unit, speech recognition tutorial unit,
Picture talk teaching unit, recognition of face teaching unit, machine apery play play instruction unit and chat robots teaching is single
Member；
The picture classification teaching unit, the content of courses of principle and application for generating picture classification；
The Chinese Character Recognition teaching unit, the content of courses of principle and application for generating Chinese Character Recognition；
The teaching unit of mixing the spurious with the genuine, the content of courses for generating the principle and application mixed the spurious with the genuine；
The target detection teaching unit, the content of courses of principle and application for generating target detection；
The artistic style migrates teaching unit, is used for the content of courses of Generative Art Style Transfer principle and application；
The speech recognition tutorial unit, the content of courses of principle and application for generating speech recognition；
The picture talk teaching unit, the content of courses of principle and application for generating picture talk；
The recognition of face teaching unit, the content of courses of principle and application for generating recognition of face；
The machine apery plays play instruction unit, is played in the principle of game and the teaching of application for generating machine apery
Hold；
The chat robots teaching unit, the content of courses of principle and application for generating chat robots.
As a kind of embodiment, the tutoring system of the artificial intelligence provided by the utility model based on TensorFlow
It further include input module；
The input module connects the processor, for providing director data input.
As a kind of embodiment, the input module is keyboard input module and/or human-computer interaction interface.
As a kind of embodiment, described image harvester includes light source and several cameras；
The light source connects the processor, in camera collection image information, according to the light filling signal of processor into
Row light filling；
Each camera is arranged according to predetermined angle, the image letter of the different angle for acquiring object to be identified
Breath.
As a kind of embodiment, the tutoring system of the artificial intelligence provided by the utility model based on TensorFlow
It further include voice module；
The voice module connects the processor, is used for the speech play content of courses.
As a kind of embodiment, the tutoring system of the artificial intelligence provided by the utility model based on TensorFlow
It further include memory module；
The memory module connects the processor, is used for store historical data.
Compared with prior art, the utility model has the following advantages：
The tutoring system of artificial intelligence provided by the utility model based on TensorFlow, including power module, image
Harvester, processor, several Teaching Modules and display module；Power module is used to provide operating voltage for each component；Place
It manages device and connects each Teaching Module, the image information of the object to be identified for receiving image acquisition device believes image
Breath is detected identifying processing, obtains detection identification image information；Corresponding teaching mould is selected according to detection identification image information
Block, and detection identification image information is transmitted to corresponding Teaching Module；Teaching Module is used to identify image information according to detection
The content of courses is generated with preset teaching resource；Display module connection processing device is imparted knowledge to students for showing detection recognition result and playing
Content completes teaching.The utility model directly can select corresponding teaching mould according to the image information of image acquisition device
Block carries out related teaching, reduces study threshold；And inside can store a large amount of education resource, can mitigate the negative of books
Load, improves learning initiative, student is made to give the interest to study for change.
Description of the drawings
Fig. 1 is the structure of the tutoring system for the artificial intelligence based on TensorFlow that the utility model embodiment one provides
Schematic diagram.
In figure：1, power module；2, image collecting device；3, processor；4, Teaching Module；5, display module；6, it communicates
Module；7, input module；8, voice module；9, memory module.
Specific implementation mode
Below in conjunction with attached drawing, technical characteristic above-mentioned to the utility model and other and advantage carry out clearly and completely
Description, it is clear that described embodiment is only the section Example of the utility model, rather than whole embodiments.
Referring to Fig. 1, the tutoring system for the artificial intelligence based on TensorFlow that the utility model embodiment one provides,
Including power module 1, image collecting device 2, processor 3, several Teaching Modules 4 and display module 5；
Power module 1 is connect with image collecting device 2, processor 3, Teaching Module 4 and display module 5 respectively, is used for
The operating voltage of image collecting device 2, processor 3, Teaching Module 4 and display module 5 is provided；Image collecting device 2 and place
It manages device 3 to connect, the image information for acquiring object to be identified, and image information is transmitted to processor 3；Processor 3 connects
Each Teaching Module 4 is detected identifying processing for receiving image information to image information, obtains detection identification image letter
Breath；Corresponding Teaching Module 4 is selected according to detection identification image information, and detection identification image information is transmitted to corresponding religion
Learn module 4；Teaching Module 4 is used to generate the content of courses according to detection identification image information and preset teaching resource；Display module 5
Connection processing device 3 completes teaching for showing detection recognition result and playing the content of courses.
It should be noted that power module 1 is all connected with each component powered is needed, providing operating voltage for each component protects
Hinder each component normal work.And power module 1 can be built-in power, can also be connect external power supply external power supply connect
Mouthful.The image information that image collecting device 2 acquires object to be identified includes being not limited to pictorial information, text information and video letter
Breath etc..Its image information can be obtained with timing node from different angles for each object to be identified, it can be comprehensive
Image information is acquired, improve the integrity degree of acquisition, to improve subsequent detection identification accuracy.
Detection identification image information includes being not limited to location information, classification information, environmental information, action message, title letter
Breath and article characteristics information；For example, obtain detection identification image information in include male, interior, be seated on the seat,
The data such as vector machine and style then identify that image information selects corresponding Teaching Module 4 according to above-mentioned detection.Again in teaching mould
In block 4, identify that image information and preset teaching resource generate the corresponding content of courses according to above-mentioned detection.Teaching Module 4 is
Artificial intelligence based on TensorFlow frames is constructed by machine learning structure.According to different preset teaching resources, structure
Different Teaching Modules 4 is built up, and each Teaching Module 4 can give birth to according to detection identification image information and preset teaching resource
At the content of courses.For example, preset elementary teaching resource in elementary teaching module, elementary teaching resource includes being not limited to Chinese language, number
The teaching resource of the subjects such as, music and science；When generating the content of courses using elementary teaching module, language can be generated
The content of courses of the subjects such as text, mathematics, music and science.It is former that artistic style migrates preset artistic style migration in teaching unit
The teaching resource of reason and application.The burden of books can be mitigated, it is only necessary to which image collecting device 2 collects image information, energy
Adaptable teaching is carried out, learning initiative is improved, study is no longer uninteresting.In other embodiment, teaching process is being carried out
In, it can identify that the action message in image information controls teaching process according to detection.For example, pause, F.F. and
It the gestures such as skips, the content of courses can be controlled accordingly by processor 3.In other embodiment, Teaching Module 4 can
With the artificial intelligence structure based on other frames, it is not limited in this.
Display module 5, which can show detection recognition result and play the content of courses, completes teaching；Display module 5 can also be shown
The broadcasting process for showing the content of courses facilitates user to be controlled broadcasting by action message.Further, display screen is preferred
Model VX2039-SAW.
The tutoring system of artificial intelligence provided by the utility model based on TensorFlow, including power module 1, image
Harvester 2, processor 3, several Teaching Modules 4 and display module 5；Power module 1 is used to provide work electricity for each component
Pressure；Processor 3 connects each Teaching Module 4, the image information of the object to be identified for receiving the acquisition of image collecting device 2,
Identifying processing is detected to image information, obtains detection identification image information；It is corresponded to according to detection identification image information selection
Teaching Module 4, and will detection identification image information be transmitted to corresponding Teaching Module 4；Teaching Module 4 is used to be known according to detection
Other image information and preset teaching resource generate the content of courses；5 connection processing device 3 of display module, for showing detection identification knot
Teaching is completed in fruit and the broadcasting content of courses.The utility model can be selected directly according to the image information that image collecting device 2 acquires
It selects corresponding Teaching Module 4 and carries out related teaching, reduce study threshold；And inside can store a large amount of education resource, energy
The burden for enough mitigating books, improves learning initiative, student is made to give the interest to study for change.
Further, the tutoring system for the artificial intelligence based on TensorFlow that the utility model embodiment two provides,
Further include communication module 6 compared with embodiment one；6 connection processing device 3 of communication module makes external clothes for passing through communication module 6
Business device carries out data interaction with processor 3, and teaching resource is downloaded in corresponding Teaching Module 4.
Communication module 6 can be wire communication module or wireless communication module；It is selected according to different application scenarios different
Communication module 6 complete external server and processor 3 and carry out data interaction, it is user-friendly.Avoiding does not have at some
The use limitation in the place of wireless telecommunications.
Each component of the utility model is described in detail below：
Teaching Module 4 is basic Teaching Module and high-order Teaching Module；Elementary teaching module connection processing device 3 is used for root
Elementary teaching content is generated according to detection identification image information and preset elementary teaching resource；High-order Teaching Module connection processing device 3,
For generating the high-order content of courses according to detection identification image information and preset high-order teaching resource.The utility model has abundant
Teaching Module 4, not only reduce books burden, reduce the waste of resource；And can meet the needs of user's various aspects study.
Wherein, elementary teaching module includes support vector machines teaching unit and Bayes classifier teaching unit；Support to
Amount machine teaching unit, the content of courses of principle and application for generating support vector machines；Bayes classifier teaching unit is used
In the content of courses for generating Bayes classifier principle and application.
Wherein, high-order Teaching Module includes picture classification teaching unit, Chinese Character Recognition teaching unit, mixes the spurious with the genuine teaching singly
Member, target detection teaching unit, artistic style migration teaching unit, speech recognition tutorial unit, picture talk teaching unit, people
Face identifies that teaching unit, machine apery play play instruction unit and chat robots teaching unit；Picture classification teaching unit
The content of courses of principle and application for generating picture classification；Chinese Character Recognition teaching unit is used to generate the principle of Chinese Character Recognition
With the content of courses of application；Teaching unit of mixing the spurious with the genuine is used to generate the content of courses of the principle and application mixed the spurious with the genuine；Target
Detection teaching unit is used to generate the content of courses of the principle and application of target detection；Artistic style migration teaching unit is for giving birth to
At the content of courses of artistic style principle of displacement and application；Speech recognition tutorial unit is used to generate the principle of speech recognition and answers
The content of courses；Picture talk teaching unit is used to generate the content of courses of the principle and application of picture talk；Recognition of face
Teaching unit is used to generate the content of courses of the principle and application of recognition of face；Machine apery plays play instruction unit for generating
Machine apery plays the content of courses of the principle and application of game；Chat robots teaching unit is used to generate the original of chat robots
The content of courses of reason and application.
Further, image collecting device 2 includes light source and several cameras；Light source connection processing device 3, is adopted in camera
When collecting image information, light filling is carried out according to the light filling signal of processor 3；Each camera is arranged according to predetermined angle, for adopting
Collect the image information of the different angle of object to be identified.
Light source can be LED light, the one or more of incandescent lamp and fluorescent lamp.It can be separately provided, and can also set
It is placed in camera.In camera collection image information, light filling is carried out according to the light filling signal of processor 3, avoid by
Image information is unintelligible caused by light deficiency.The preferred model IMX214 of camera, can coordinate in processor 3
Amcap is configured adjustment to camera, improves the quality of the image information of acquisition.
The tutoring system for the artificial intelligence based on TensorFlow that the utility model embodiment three provides, with embodiment one
Compared to further including input module 7 and voice module 8；7 connection processing device 3 of input module, for providing director data input.Input
Module 7 is keyboard input module and/or human-computer interaction interface.8 connection processing device 3 of voice module, in speech play teaching
Hold.
It, can also be according to the instruction number of input module 7 other than being realized to the control of the content of courses according to action message
It is realized according to input.When input module 7 is keyboard input module, corresponding instruction number is directly generated by keyboard input module
According to director data is transmitted to processor 3 and is accordingly controlled.When input module 7 is human-computer interaction interface, directly pass through people
Machine interactive interface generates corresponding director data, and director data is transmitted to processor 3 and is accordingly controlled.According to teaching
When appearance is imparted knowledge to students, teaching can also be played out by voice module 8, realize the diversity of teaching, promote teaching efficiency.
The tutoring system for the artificial intelligence based on TensorFlow that the utility model embodiment four provides, with embodiment one
Compared to further including memory module 9；9 connection processing device 3 of memory module is used for store historical data.It can be by the history number of storage
According to as with reference to data, database is established according to historical data, facilitates data traceability, is also convenient for subsequently dividing historical data
Analysis research.
Although the utility model has been described by way of example and in terms of the preferred embodiments, but it is not for limiting the utility model, appointing
What those skilled in the art without departing from the spirit and scope of the utility model, may be by the method and skill of the disclosure above
Art content makes possible variation and modification to technical solutions of the utility model, therefore, every without departing from the utility model technology
The content of scheme, it is made by the above technical examples according to the technical essence of the present invention it is any it is simple modification, equivalent variations and
Modification, belongs to the protection domain of technical solutions of the utility model.
Claims (9)
1. a kind of tutoring system of the artificial intelligence based on TensorFlow, which is characterized in that including power module, Image Acquisition
Device, processor, several Teaching Modules and display module；
The power module connect with described image harvester, processor, Teaching Module and display module, is used for respectively
The operating voltage of described image harvester, processor, Teaching Module and display module is provided；
Described image harvester, is connected to the processor, the image information for acquiring object to be identified, and by the figure
As information is transmitted to the processor；
Described image harvester includes light source and several cameras；
The light source connects the processor, in camera collection image information, is mended according to the light filling signal of processor
Light；
Each camera is arranged according to predetermined angle, the image information of the different angle for acquiring object to be identified；
The processor connects each Teaching Module and is examined to described image information for receiving described image information
Identifying processing is surveyed, detection identification image information is obtained；Identify that image information selects the corresponding teaching mould according to the detection
Block, and detection identification image information is transmitted to the corresponding Teaching Module；
The Teaching Module, for generating the content of courses according to detection identification image information and preset teaching resource；
The display module connects the processor, and teaching is completed for showing detection recognition result and playing the content of courses.
2. the tutoring system of the artificial intelligence based on TensorFlow as described in claim 1, which is characterized in that further include leading to
Interrogate module；
The communication module connects the processor, so that external server is carried out data with processor for passing through communication module
Interaction, and teaching resource is downloaded in corresponding Teaching Module.
3. the tutoring system of the artificial intelligence based on TensorFlow as described in claim 1, which is characterized in that the teaching
Module is basic Teaching Module and high-order Teaching Module；
The elementary teaching module, connects the processor, for being provided according to detection identification image information and preset elementary teaching
Source generates elementary teaching content；
The high-order Teaching Module, connects the processor, for according to detection identification image information and preset high-order teaching money
Source generates the high-order content of courses.
4. the tutoring system of the artificial intelligence based on TensorFlow as claimed in claim 3, which is characterized in that the basis
Teaching Module includes support vector machines teaching unit and Bayes classifier teaching unit；
The support vector machines teaching unit, the content of courses of principle and application for generating support vector machines；
The Bayes classifier teaching unit, the content of courses for generating Bayes classifier principle and application.
5. the tutoring system of the artificial intelligence based on TensorFlow as claimed in claim 3, which is characterized in that the high-order
Teaching Module includes picture classification teaching unit, Chinese Character Recognition teaching unit, teaching unit of mixing the spurious with the genuine, target detection teaching list
Member, artistic style migration teaching unit, speech recognition tutorial unit, picture talk teaching unit, recognition of face teaching unit, machine
Device apery plays play instruction unit and chat robots teaching unit；
The picture classification teaching unit, the content of courses of principle and application for generating picture classification；
The Chinese Character Recognition teaching unit, the content of courses of principle and application for generating Chinese Character Recognition；
The teaching unit of mixing the spurious with the genuine, the content of courses for generating the principle and application mixed the spurious with the genuine；
The target detection teaching unit, the content of courses of principle and application for generating target detection；
The artistic style migrates teaching unit, is used for the content of courses of Generative Art Style Transfer principle and application；
The speech recognition tutorial unit, the content of courses of principle and application for generating speech recognition；
The picture talk teaching unit, the content of courses of principle and application for generating picture talk；
The recognition of face teaching unit, the content of courses of principle and application for generating recognition of face；
The machine apery plays play instruction unit, the content of courses for playing the principle and application of game for generating machine apery；
The chat robots teaching unit, the content of courses of principle and application for generating chat robots.
6. the tutoring system of the artificial intelligence based on TensorFlow as described in claim 1, which is characterized in that further include defeated
Enter module；
The input module connects the processor, for providing director data input.
7. the tutoring system of the artificial intelligence based on TensorFlow as claimed in claim 6, which is characterized in that the input
Module is keyboard input module and/or human-computer interaction interface.
8. the tutoring system of the artificial intelligence based on TensorFlow as described in claim 1, which is characterized in that further include language
Sound module；
The voice module connects the processor, is used for the speech play content of courses.
9. the tutoring system of the artificial intelligence based on TensorFlow as described in claim 1, which is characterized in that further include depositing
Store up module；
The memory module connects the processor, is used for store historical data.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109598995A (en) * | 2019-01-08 | 2019-04-09 | 上海健坤教育科技有限公司 | Intelligent tutoring system based on Bayes's knowledge trace model |
| CN109783256A (en) * | 2019-01-10 | 2019-05-21 | 上海商汤智能科技有限公司 | Artificial intelligence tutoring system and method, electronic equipment, storage medium |
| CN114347788A (en) * | 2021-11-30 | 2022-04-15 | 岚图汽车科技有限公司 | Service-oriented intelligent cabin man-machine interaction key control system |
-
2017
- 2017-12-13 CN CN201721740744.2U patent/CN207851897U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109598995A (en) * | 2019-01-08 | 2019-04-09 | 上海健坤教育科技有限公司 | Intelligent tutoring system based on Bayes's knowledge trace model |
| CN109783256A (en) * | 2019-01-10 | 2019-05-21 | 上海商汤智能科技有限公司 | Artificial intelligence tutoring system and method, electronic equipment, storage medium |
| CN114347788A (en) * | 2021-11-30 | 2022-04-15 | 岚图汽车科技有限公司 | Service-oriented intelligent cabin man-machine interaction key control system |
| CN114347788B (en) * | 2021-11-30 | 2023-10-13 | 岚图汽车科技有限公司 | Intelligent cabin man-machine interaction key control system based on service |
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