CN111353920A - Intelligent blackboard - Google Patents
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- CN111353920A CN111353920A CN201910578425.3A CN201910578425A CN111353920A CN 111353920 A CN111353920 A CN 111353920A CN 201910578425 A CN201910578425 A CN 201910578425A CN 111353920 A CN111353920 A CN 111353920A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
Abstract
The invention discloses an intelligent blackboard which comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is configured to acquire student information; the processing unit is configured to analyze the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result; a display unit configured to display the analysis result. By the intelligent blackboard, audio and video collection and display are integrated, repeated work of teachers is reduced, and classroom teaching efficiency can be improved.
Description
Technical Field
The invention relates to intelligent interactive teaching equipment, in particular to an intelligent blackboard.
Background
Interactive display equipment such as an intelligent blackboard is basically deployed in a school classroom at present, but the equipment does not have the capability of audio and video acquisition and analysis, and the audio and video acquisition meeting by utilizing equipment of other systems (such as a recording and broadcasting system) in the classroom faces a plurality of problems of low integration degree, high equipment purchasing cost, difficult communication among different systems and the like.
Meanwhile, the problems that the teacher calls the roll, arranges students to hold up hands and answers questions standing up exist in the teaching and management processes of the teacher, the efficiency is low, the classroom participation of the students is low, the concentration degree of the students cannot be mastered, and the like exist, and a teaching tool is lacked, so that the repeated work of the teacher can be reduced, and the teaching efficiency of the teacher can be improved.
Disclosure of Invention
In view of the above, the present invention is directed to an intelligent blackboard that integrates audio and video acquisition and display, and can reduce repeated work of teachers and improve classroom teaching efficiency.
Based on the above object, the present invention provides an intelligent blackboard, comprising:
an acquisition unit configured to acquire student information;
the processing unit is configured to analyze the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result;
a display unit configured to display the analysis result.
Optionally, the collecting unit includes:
the audio and video acquisition module is configured to shoot videos of students;
an information extraction module configured to extract the student information from the video, the student information including feature information and action information.
Optionally, the processing unit includes:
a first transcoding module configured to transcode the feature information into a feature numerical value;
the characteristic value comparison module is configured to compare the characteristic value with characteristic data prestored in a database to obtain a characteristic result;
a second transcoding module configured to transcode the feature results into the analysis results.
Optionally, the processing unit further includes: an action value comparison module;
the first transcoding module is configured to be further capable of transcoding the action information into an action numerical value;
the action value comparison module is configured to compare the action value with standard action threshold data prestored in a database to obtain an action result;
the second transcoding module is configured to be capable of transcoding the action result into the analysis result.
Optionally, the collecting unit further includes:
a feature information acquisition module configured to acquire face feature information of a student before acquiring the student information;
the characteristic information processing module is configured to convert the human face characteristic information into data and generate human face characteristic data;
a feature data storage module configured to store the facial feature data to the database.
Optionally, the feature information collecting module is configured to be further capable of collecting sound feature information of a student before collecting the student information;
the characteristic information processing module is configured to be capable of also digitizing the sound characteristic information to generate sound characteristic data;
the feature data storage module is configured to further be capable of storing the sound feature data to the database.
Optionally, the collecting unit further includes:
a standard action image acquisition module configured to set a standard action and acquire an image of the standard action before acquiring the student information;
the standard motion image processing module is configured to convert the standard motion image into data to form standard motion data; setting a standard action threshold according to the standard action data;
a standard action data storage module configured to pre-store data of the standard action threshold to a database.
Optionally, the collecting unit is configured to be able to collect teacher sound;
the processing unit is configured to process the teacher sound into character information;
the display unit is configured to be capable of displaying the text information.
Optionally, the method further includes: a storage unit and a communication unit;
the acquisition unit is also configured to acquire the audio and video of the platform;
the display unit is configured to be capable of displaying the platform audio and video;
the storage unit is configured to store the platform audio and video;
the communication unit is configured to send the stored podium audios and videos to other memories.
The invention also provides a classroom interaction method based on the intelligent blackboard, which comprises the following steps:
collecting student information;
analyzing the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result;
and displaying the analysis result.
From the above, the intelligent blackboard provided by the invention comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit can acquire student information, and the student information comprises characteristic information and action information of students; the acquisition unit integrates audio and video acquisition and display. And the processing unit can analyze the student information to obtain an analysis result, wherein the analysis result comprises at least one of an image result, a character result and a sound result. . The analysis result comprises at least one of an image result, a character result and a sound result. A display unit capable of displaying the analysis result; the analysis result can be displayed by the display unit and utilized by the teacher, so that repeated work of the teacher is reduced, and the classroom teaching efficiency is improved.
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 or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent blackboard provided in an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a second method according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a third method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
Fig. 1 is a schematic structural diagram of an intelligent blackboard provided in an embodiment of the present invention. As shown in the figure, the intelligent blackboard provided by the embodiment of the present invention includes:
an acquisition unit configured to acquire student information;
the processing unit is configured to analyze the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result;
a display unit configured to display the analysis result.
In some embodiments, the acquisition unit is an audio-video integrated acquisition device, and the acquisition devices can be uniformly distributed on two sides of the intelligent blackboard according to actual use conditions, and even can be distributed in different directions in a classroom, so that the acquisition devices can fully acquire information of all students in the classroom; the acquisition device can acquire student information and perform preliminary storage.
The processing unit is a processing and analyzing device which is installed together with the intelligent blackboard, and the processing device can process and analyze the student information.
The display device is a display screen.
It should be noted that the intelligent blackboard can also be an interactive flat plate integrating audio and video acquisition, processing and display, the interactive flat plate also comprises an acquisition unit, a processing unit and a display unit, and the three units have the same functions as the intelligent blackboard.
In some embodiments, the acquisition unit comprises:
the audio and video acquisition module is configured to shoot videos of students;
an information extraction module configured to extract the student information from the video, the student information including feature information and action information.
The audio and video acquisition module is an audio and video acquisition integrated acquisition device and comprises a camera and a microphone; the camera collects picture information of students, and the microphone collects sound information of the students.
After the audio and video acquisition module finishes the acquisition, decoding the video stream according to the picture information to form a video frame; and extracting a sound signal according to the sound information.
The information extraction module detects the video frames; for face information, five main features are mainly included: left eye, right eye, nose, left mouth corner of mouth and right mouth corner of mouth; aiming at sound information, audio signals of students are mainly extracted, and the audio signals are mainly sound wave frequency spectrums of the students; the movement information is mainly detected in terms of the body angle, the position of the limbs, the body height, the face orientation, and the like of the student.
It should be noted that the camera can rotate the adjustment angle, can make the angle adjustment of making a video recording according to different student's posture during the messenger gathers to can gather student's information more accurately.
In some embodiments, the processing unit comprises:
a first transcoding module configured to transcode the feature information into a feature numerical value;
the characteristic value comparison module is configured to compare the characteristic value with characteristic data prestored in a database to obtain a characteristic result;
a second transcoding module configured to transcode the feature results into the analysis results.
The first transcoding module can transcode the student information into numerical values according to the collected student information, namely the face information, the sound information and the like; the characteristic value comparison module can compare the values according to preset characteristic values, so that the personal information of the students can be judged according to the characteristic results, and further analysis and judgment can be carried out according to the personal information; and the second transcoding module transcodes the judged numerical result into the analysis result, namely at least one of an image result, a character result and a sound result.
It can be seen that the processor firstly transcodes the face information of the student taken according to the personal information into a numerical value, and compares the numerical value with the face feature information data of the student prestored in the database, thereby judging the identity of the student, and can help teachers to roll the roll call; secondly, the face information of the student can be judged, the judgment content comprises expression characteristics, facial action characteristics and the like, and the expression characteristics, the facial action characteristics and the like are compared with characteristic information data prestored in a database, so that the current facial characteristics of the student are obtained preliminarily, and the emotional state, the classroom comprehension degree and the like of the student are judged; and transcoding the obtained information such as the roll call result, the emotional state of the student, the classroom comprehension degree and the like into at least one of a character result, a sound result or an image result, and displaying the converted information on a screen so as to feed back the converted information to a teacher.
In some embodiments, the processor transcodes the collected sound information of the students into numerical values according to the personal information, and compares the numerical values with sound characteristic information prestored in a database so as to judge the identities of the students and help teachers to roll call; secondly, the voice information data of the students can be judged, the tone, the voice content and the like of the students are judged, so that the emotion, the classroom understanding degree, the answer and the like of the students are judged, the data results are transcoded into at least one of character results, voice results or image results, and the character results, the voice results or the image results are displayed on a screen and then are fed back to a teacher.
In some embodiments, the processing unit further comprises: an action value comparison module;
the first transcoding module is configured to be further capable of transcoding the action information into an action numerical value;
the action value comparison module is configured to compare the action value with standard action threshold data prestored in a database to obtain an action result;
the second transcoding module is configured to be capable of transcoding the action result into the analysis result.
The first transcoding module can transcode the student action information into a numerical value according to the collected student action information; the characteristic value comparison module can compare the values according to preset characteristic values, so that the action state of the student can be judged according to the characteristic result, and further analysis and judgment can be carried out according to the action state; and the second transcoding module transcodes the judged numerical result into the analysis result, namely at least one of an image result, a character result and a sound result.
It should be noted that the motion information includes several aspects such as body angle, position of limbs, body height, face orientation, etc., and the information of these aspects is transcoded into numerical values, and the numerical values are compared with data of standard motion threshold values pre-stored in a database, and the motion at this time is judged and a data result is formed; the data result is transcoded into at least one of a character result, an image result and a sound result, the character result, the image result and the sound result are displayed through a display unit, and a voice prompt can be given to a teacher so as to judge the action state of the student, such as raising hands to answer, standing up to answer questions, whether the sitting posture is correct, the reading posture, whether the writing posture is standard, whether the head is crossed and the ear is connected, whether the student sleeps and the like, so that the data result is obtained, the data result is transcoded into at least one of the character result, the sound result or the image result, and the data result is displayed on a screen so as to be fed back to the teacher.
In some embodiments, the acquisition unit further comprises:
a feature information acquisition module configured to acquire face feature information of a student before acquiring the student information;
the characteristic information processing module is configured to convert the human face characteristic information into data and generate human face characteristic data;
a feature data storage module configured to store the facial feature data to the database.
The feature information acquisition module acquires face feature information of all students in turn through a preset camera, the face feature information is transcoded into data, and the feature data storage module stores the data into a database.
In some embodiments, the feature information collecting module is configured to further collect voice feature information of a student before collecting the student information;
the characteristic information processing module is configured to be capable of also digitizing the sound characteristic information to generate sound characteristic data;
the feature data storage module is configured to further be capable of storing the sound feature data to the database.
It can be seen that the feature information collection module collects sound feature information of all students through a preset microphone, the feature data storage module transcodes the sound feature information into data, and the feature data storage module stores the data into a database.
In some embodiments, the acquisition unit further comprises:
a standard action image acquisition module configured to set a standard action and acquire an image of the standard action before acquiring the student information;
the standard motion image processing module is configured to convert the standard motion image into data to form standard motion data; setting a standard action threshold according to the standard action data;
a standard action data storage module configured to pre-store data of the standard action threshold to a database.
The standard motion image acquisition module can acquire preset standard motion images such as sitting up, standing up, lying down and the like; the standard action image processing module processes different standard action images into corresponding data and sets thresholds of different standard actions according to the corresponding data; the standard action data storage module stores data of the threshold value of the standard action into a database.
In some embodiments, the collection unit is configured to be further capable of collecting teacher sounds;
the processing unit is configured to process the teacher sound into character information;
the display unit is configured to be capable of displaying the text information.
The microphone of the acquisition unit acquires the voice of a teacher on the platform and converts the voice into data; the processing unit processes the digitized voice into character information; the display unit, namely the display screen, displays the text information on the screen. Through the arrangement, the sound of the teacher can be displayed on the screen in a text form and is synchronous with the sound of the teacher, so that the students can be better helped to understand the classroom content, and the teacher can be helped to explain clearly.
In some embodiments, further comprising: a storage unit and a communication unit;
the acquisition unit is also configured to acquire the audio and video of the platform;
the display unit is configured to be capable of displaying the platform audio and video;
the storage unit is configured to store the platform audio and video;
the communication unit is configured to send the stored podium audios and videos to other memories.
And the audio and video acquisition equipment of the acquisition unit acquires the video on the platform and synchronously displays the video on the platform on the display unit, namely the display screen. Through this kind of setting, can play the operation of teacher on the podium for the student more directly perceivedly like experiment operation etc. has avoided the student quantity many, can't see the problem of the content on the podium directly perceivedly.
Further, a storage unit and a communication unit are also provided. The storage unit stores the collected videos on the platform into the database, and the videos can be repeatedly played in later classes at any time, so that inconvenience that the operation needs to be performed again every time a class is given is avoided. The communication unit can transmit the stored video to the equipment of other classes, and can play the video at any time when the other classes need the video, so that the information sharing is realized.
Fig. 2 is a schematic flow chart of a first method according to an embodiment of the present invention. As shown in fig. 2, the present invention also provides a classroom interaction method based on an intelligent blackboard, which includes:
s10, collecting student information;
s20, analyzing the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result;
and S30, displaying the analysis result.
Further, the S10 includes the following steps:
s101, shooting videos of students;
and S102, extracting the student information according to the video, wherein the student information comprises characteristic information and action information.
Further, the step of S20 includes the steps of:
s201-1, transcoding the feature information into feature numerical values;
s202-2, comparing the characteristic numerical value with characteristic data prestored in a database to obtain a characteristic result;
s203-3, transcoding the feature result into the analysis result.
Further, the S20 further includes:
s202-1, transcoding the action information into an action numerical value;
s202-2, comparing the action numerical value with standard action threshold value data prestored in a database to obtain an action result;
s202-3, transcoding the action result into the analysis result.
Prior to collecting the student information, the method further comprises:
s011, collecting face feature information of students before collecting the student information;
s021, converting the face feature information into data to generate face feature data;
and S031, storing the face feature data to the database.
In some optional embodiments, before collecting the student information, the method further comprises:
s012, collecting student sound characteristic information before collecting the student information;
s022, converting the voice feature information into data to generate voice feature data;
s032, storing the sound feature data to the database.
In some optional embodiments, before collecting the student information, the method further comprises:
s013, setting a standard action before acquiring the student information and acquiring an image of the standard action;
s023, converting the standard motion image into data to form standard motion data; setting a standard action threshold according to the standard action data;
and S033, pre-storing the data of the standard action threshold value into a database.
Fig. 3 is a schematic flow chart of a second method according to an embodiment of the present invention. As shown in fig. 3, the method further comprises:
s110, collecting the voice of a teacher;
s120, processing the teacher sound into character information;
and S130, displaying the text information.
Fig. 4 is a schematic flow chart of a third method according to an embodiment of the present invention. As shown in fig. 4, the method further comprises:
s210, collecting a platform audio and video;
s220, displaying the platform audio and video;
s230, storing the platform audio and video;
and S240, sending the stored platform audio and video to other memories.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. An intelligent blackboard, comprising:
an acquisition unit configured to acquire student information;
the processing unit is configured to analyze the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result;
a display unit configured to display the analysis result.
2. The intelligent blackboard according to claim 1, wherein the collecting unit includes:
the audio and video acquisition module is configured to shoot videos of students;
an information extraction module configured to extract the student information from the video, the student information including feature information and action information.
3. An intelligent blackboard according to claim 2, characterised in that the processing unit comprises:
a first transcoding module configured to transcode the feature information into a feature numerical value;
the characteristic value comparison module is configured to compare the characteristic value with characteristic data prestored in a database to obtain a characteristic result;
a second transcoding module configured to transcode the feature results into the analysis results.
4. An intelligent blackboard according to claim 3, characterised in that the processing unit further comprises: an action value comparison module;
the first transcoding module is configured to be further capable of transcoding the action information into an action numerical value;
the action value comparison module is configured to compare the action value with standard action threshold data prestored in a database to obtain an action result;
the second transcoding module is configured to be capable of transcoding the action result into the analysis result.
5. The intelligent blackboard according to claim 4, wherein the collecting unit further includes:
a feature information acquisition module configured to acquire face feature information of a student before acquiring the student information;
the characteristic information processing module is configured to convert the human face characteristic information into data and generate human face characteristic data;
a feature data storage module configured to store the facial feature data to the database.
6. An intelligent blackboard according to claim 5,
the characteristic information acquisition module is configured to be capable of acquiring sound characteristic information of students before acquiring the student information;
the characteristic information processing module is configured to be capable of also digitizing the sound characteristic information to generate sound characteristic data;
the feature data storage module is configured to further be capable of storing the sound feature data to the database.
7. The intelligent blackboard according to claim 6, wherein the collecting unit further includes:
a standard action image acquisition module configured to set a standard action and acquire an image of the standard action before acquiring the student information;
the standard motion image processing module is configured to convert the standard motion image into data to form standard motion data; setting a standard action threshold according to the standard action data;
a standard action data storage module configured to pre-store data of the standard action threshold to a database.
8. An intelligent blackboard according to claim 1,
the acquisition unit is configured to be capable of acquiring teacher sound;
the processing unit is configured to process the teacher sound into character information;
the display unit is configured to be capable of displaying the text information.
9. The intelligent blackboard of claim 1, further comprising: a storage unit and a communication unit;
the acquisition unit is also configured to acquire the audio and video of the platform;
the display unit is configured to be capable of displaying the platform audio and video;
the storage unit is configured to store the platform audio and video;
the communication unit is configured to send the stored podium audios and videos to other memories.
10. A classroom interaction method based on an intelligent blackboard comprises the following steps:
collecting student information;
analyzing the student information to obtain an analysis result; the analysis result comprises at least one of an image result, a character result and a sound result;
and displaying the analysis result.
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