CN114760442A - Monitoring system for online education management - Google Patents
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Abstract
The present invention provides a monitoring system for online education management, which includes: the video monitoring module is used for monitoring classroom videos of teachers and students in real time in a target classroom; the video identification module is used for identifying audio information and video information in the classroom video, analyzing the audio information and the video information and determining the classroom state; and the management module is used for recording the classroom state in real time and managing the target classroom according to the recording result. The target classroom is monitored and the monitoring video is determined, the audio information and the video information in the monitoring video are analyzed to determine the classroom state and recorded, accurate monitoring of the target classroom is facilitated, monitoring is performed from different angles of teachers and students, the comprehensiveness of monitoring is improved, and therefore the management efficiency of the online classroom is improved.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring management, in particular to a monitoring system for online education management.
Background
At present, along with the generation of mobile internet, the mode of acquiring knowledge is fundamentally changed, teaching and learning can not be limited by time, space and place conditions, online education has more and more advantages, online education refers to a teaching mode using television, internet and other propagation media, breaks through the boundary line of time and space, and is different from the traditional teaching mode of residence in school;
However, in the current monitoring system, comprehensive monitoring cannot be implemented, and the obtained teaching conditions are not comprehensive, and the states of teachers and students cannot be known, so that accurate monitoring of a classroom cannot be realized, and the monitoring efficiency is low;
therefore, the monitoring system for online education management provided by the invention has the advantages that the target classroom is monitored, the monitoring video is determined, the audio information and the video information in the monitoring video are analyzed to determine the classroom state and recorded, the accurate monitoring of the target classroom is favorably realized, monitoring is performed from different angles of teachers and students, the monitoring comprehensiveness is improved, and the online classroom management efficiency is improved.
Disclosure of Invention
The invention provides a monitoring system for online education management, which is used for monitoring a target classroom, determining a monitoring video, analyzing audio information and video information in the monitoring video, determining a classroom state, recording, facilitating accurate monitoring of the target classroom, monitoring from different angles of teachers and students, improving the comprehensiveness of monitoring and improving the management efficiency of the online classroom.
The invention provides a monitoring system for online education management, comprising:
The video monitoring module is used for monitoring classroom videos of teachers and students in real time in a target classroom;
the video identification module is used for identifying audio information and video information in the classroom video, analyzing the audio information and the video information and determining the classroom state;
and the management module is used for recording the classroom state in real time and managing the target classroom according to the recording result.
Preferably, the monitoring system for online education management, the video monitoring module further includes:
the video processing unit is used for extracting teaching contents of teachers in the class videos after the target class is finished, denoising videos and audios corresponding to the teaching contents and generating a target class video file;
and the storage unit is used for acquiring a video saving path and storing the target classroom video file to a target position based on the video saving path.
Preferably, the monitoring system for online education management, the video monitoring module includes:
the face recognition unit is used for respectively acquiring a first face image of a target student and a second face image of a target teacher and recognizing the first face image and the second face image;
The class login unit is used for logging in the target class when the target teacher and the target student pass face recognition;
and the monitoring starting unit is used for acquiring the preset starting time of the target classroom and automatically starting the monitoring device to monitor the target classroom when the preset starting time is reached.
Preferably, the monitoring system for online education management, the classroom logging unit further includes:
a registration subunit configured to register the target student when the target student passes face recognition, and determine the number of the target student in the target class based on a registration result;
the number-of-people checker is used for comparing the number of the target students in the target class with the number of corresponding students and judging whether there are students in absence of class;
wherein the number of target students in the target class is less than or equal to the corresponding number of students;
when the number of the target students in the target class is smaller than the number of the corresponding students, judging that there are students in the absence class, counting the number of the students in the absence class and reason of the absence class, and storing the reason of the absence class of the students in the absence class;
and when the number of the target students in the target class is equal to the corresponding number, judging that no students leave the class.
Preferably, the monitoring system for online education management, the video recognition module further includes:
the device comprises a request acquisition unit, a video acquisition unit and a video acquisition unit, wherein the request acquisition unit is used for acquiring a classroom identifier of a target classroom and determining a video acquisition request based on the classroom identifier of the target classroom;
the request verification unit is used for inputting a preset verification code to verify the video acquisition request;
the data acquisition unit is used for acquiring classroom video data based on the video acquisition request when the video acquisition request passes verification;
the encapsulating unit is used for encapsulating the classroom video data according to a target protocol to generate a classroom video data packet;
and the data receiving unit is used for receiving the classroom video data packet and realizing the identification of the classroom video data packet.
Preferably, the monitoring system for online education management, the management module further includes:
the classroom state identification unit is used for identifying the classroom state and respectively determining the classroom state of a target student and the classroom state of a target teacher;
the classroom state analysis unit is used for analyzing the classroom state of the target student according to a first preset rule and determining whether the target student accords with the first preset rule;
When the target student does not accord with the first preset rule, performing first alarm operation;
the classroom state analysis unit is also used for analyzing the classroom state of the target teacher according to a second preset rule and determining whether the target teacher accords with the second preset rule;
and when the target student does not accord with the second preset rule, performing second alarm operation.
Preferably, the monitoring system for online education management, the video recognition module includes:
the first reading unit is used for performing first reading on the classroom video, determining an audio frame signal in the classroom video and determining an initial frame of the audio frame signal;
the encoding unit is used for encoding the audio frame signal by taking a starting frame of the audio frame signal as an encoding head end and extracting an audio encoding state characteristic vector corresponding to the audio frame signal;
a feature extraction unit, configured to determine a sound feature in the classroom video based on the audio coding state feature vector, where the sound feature is used to characterize teacher audio and student audio in the classroom video;
The voice recognition model generation unit is used for inputting the voice characteristics in the classroom video to a preset convolution neural network for training and learning and constructing a voice recognition model of the target classroom based on the learning result;
the voice recognition document confirming unit is used for inputting the audio frame signals in the classroom video into the voice recognition model for recognition, outputting a target text sequence according to a recognition result, and mapping the target text sequence to a voice recognition document;
the audio information confirming unit is used for reading the document content in the target document and confirming the audio information of the target class according to the document content;
a second reading unit, configured to perform second reading on the classroom video, and determine timestamp information of the classroom video, where the timestamp information includes: video frames, time points corresponding to the video frames and frame index positions;
the capturing unit is used for capturing teacher pictures and student pictures in the target classroom in real time according to the timestamp information of the classroom video;
and the video information confirming unit is used for confirming the video information in the classroom video based on the teacher picture and the student picture.
Preferably, the monitoring system for online education management, the video recognition module further includes:
the reading unit is used for reading the audio information and determining the classroom teaching content of the teacher and the speaking content of the student according to the audio information;
the reading unit is further used for reading the video information and determining the expression state of the student in the student picture and the teaching state of the teacher in the teacher picture according to the video information;
the evaluation unit is used for evaluating the classroom teaching content of the teacher, the speech content of the student, the expression state of the student in the student picture and the teaching state of the teacher in the teacher picture according to a preset standard and acquiring an evaluation result;
and the classroom state confirmation unit is used for determining the classroom state of the target classroom based on the evaluation result.
Preferably, the monitoring system for online education management, the management module includes:
the classroom state reading unit is used for reading classroom states and determining classroom learning conditions of each classmate in the target classroom and teaching conditions of teachers;
the template determining unit is used for determining target record items based on the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher and matching a target report template from a preset report template base based on the target record items;
The data processing unit is used for determining configuration information of the target report template, and performing data format conversion on the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher based on the configuration information to obtain target data to be recorded;
the recording unit is used for determining a recording medium in the target report template based on the configuration information of the target report template and determining a starting recording unit of the target data to be recorded based on the recording medium;
the recording unit is also used for sequentially filling the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher into the target report template based on the initial recording unit to obtain a state recording table;
the monitoring standard acquisition unit is used for acquiring the learning state of the monitoring terminal on classmates and a preset classroom discipline monitoring standard established by the teaching state of the teacher;
the comparison unit is used for reading the state recording table and respectively comparing the classroom learning condition of the student and the teaching condition of the teacher with the corresponding preset classroom discipline monitoring standard based on the reading result;
the comparison unit is also used for carrying out alarm reminding operation when determining that the student or teacher breaks through the classroom discipline in the target classroom based on the comparison result;
Otherwise, judging that the discipline of the target class is good, and continuously monitoring the target class until the target class is finished.
Preferably, a monitoring system for online education management further includes:
the classroom evaluation unit is used for determining the interaction indexes of students and teachers in the target classroom according to the classroom state and evaluating the activity of the target classroom according to the interaction indexes;
the classroom efficiency confirming unit is used for extracting the learning tasks distributed to the students by teachers in the target classroom and determining the completion rate of the students on the learning tasks;
the classroom evaluation unit is used for evaluating the target classroom according to the activity of the target classroom and the completion rate of the student on the learning task;
when the activity of the target classroom is equal to or greater than the reference activity and the completion rate of the student on the learning task is equal to or greater than the preset completion rate, the evaluation result of the target classroom is excellent;
when the activity of the target classroom is equal to or greater than the reference activity and the completion rate of the student on the learning task is less than the preset completion rate, or when the activity of the target classroom is less than the reference activity and the completion rate of the student on the learning task is equal to or greater than the preset completion rate, the evaluation result of the target classroom is good;
When the activity of the target classroom is less than the reference activity and the completion rate of the student on the learning task is less than the preset completion rate, the evaluation result of the target classroom is poor;
and the storage unit is used for recording and storing the evaluation result of the target classroom.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of a monitoring system for online education management according to an embodiment of the present invention;
FIG. 2 is a diagram of a video surveillance module in a surveillance system for online education management according to an embodiment of the present invention;
Fig. 3 is a diagram of a management module in a monitoring system for online education management according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the present embodiment provides a monitoring system for online education management, as shown in fig. 1, including:
the video monitoring module is used for monitoring classroom videos of teachers and students in a target classroom in real time;
the video identification module is used for identifying audio information and video information in the classroom video, analyzing the audio information and the video information and determining the classroom state;
and the management module is used for recording the classroom state in real time and managing the target classroom according to the recording result.
In this embodiment, the target classroom may be a classroom in which teachers and students are currently giving lessons.
In this embodiment, the classroom video may be a video recording the class of the student and the teacher, respectively.
In this embodiment, the audio information may be audio content in the video frame extracted through the classroom video, so that the voice content in the target classroom can be well monitored.
In this embodiment, the video information may be picture content in a classroom video, and the picture content in a target classroom can be well monitored.
In this embodiment, the classroom state can be obtained by analyzing the audio information and the video information, and the classroom state can be, for example: classroom interaction state, the state of louing in class, student state of listening to class and the state of giving lessons of mr can divide into: student classroom state and teacher classroom state.
The beneficial effects of the above technical scheme are: the target classroom is monitored and the monitoring video is determined, the audio information and the video information in the monitoring video are analyzed and the classroom state is determined and recorded, so that the target classroom is accurately monitored, monitoring is performed from different angles of teachers and students, the monitoring comprehensiveness is improved, and the management efficiency of the online classroom is improved.
Example 2:
on the basis of embodiment 1, this embodiment provides a monitoring system for online education management, where the video monitoring module further includes:
the video processing unit is used for extracting teaching contents of teachers in the class videos after the target class is finished, denoising videos and audios corresponding to the teaching contents and generating a target class video file;
And the storage unit is used for acquiring a video saving path and storing the target classroom video file to a target position based on the video saving path.
In this embodiment, the target classroom video file can be a video that can be directly subjected to video analysis management after denoising processing is performed on a video and an audio corresponding to a target classroom.
In this embodiment, the video saving path may be a storage location of the video in the storage area.
In this embodiment, the target location may be a location where a target classroom video file is stored, and may be a specific folder or the like, for example.
The beneficial effects of the above technical scheme are: the obtained teaching content is subjected to denoising processing, so that a corresponding video file is obtained, and then the obtained video file is stored, so that the management effect of the obtained video file is improved, and the monitoring content is conveniently and effectively stored.
Example 3:
on the basis of embodiment 1, this embodiment provides a monitoring system for online education management, where the video monitoring module, as shown in fig. 2, includes:
the face recognition unit is used for respectively acquiring a first face image of a target student and a second face image of a target teacher and recognizing the first face image and the second face image;
The class login unit is used for logging in the target class when the target teacher and the target student pass face recognition;
and the monitoring starting unit is used for acquiring the preset starting time of the target classroom and automatically starting the monitoring device to monitor the target classroom when the preset starting time is reached.
In this embodiment, the first face image is a face image of a student in a target classroom, and the second face image is a face image of a teacher in the target classroom.
In this embodiment, the predetermined start time is set in advance, and may be a course plan made in advance.
The beneficial effects of the above technical scheme are: through identifying and verifying the face images of the teacher and the students, the students and the teachers logging in the target classroom are ensured to be related to the target classroom, so that monitoring basis is provided for monitoring the students, the teachers and teaching contents, and accurate monitoring of the target classroom is facilitated, and the management efficiency of the online classroom is improved.
Example 4:
on the basis of embodiment 3, this embodiment provides a monitoring system for online education management, where the classroom logging unit further includes:
a registration subunit, configured to register the target student when the target student passes face recognition, and determine the number of the target student in the target classroom based on a registration result;
The number-of-people checker is used for comparing the number of the target students in the target class with the number of corresponding students and judging whether there are students in absence of class;
wherein the number of target students in the target classroom is less than or equal to the corresponding number of students;
when the number of the target students in the target class is less than the corresponding number of the students, judging that the students are in the absence class, counting the number of the students in the absence class and reason of the absence class, and storing the reason of the absence class of the students in the absence class;
and when the number of the target students in the target classroom is equal to the corresponding number, judging that no students are absent in the class.
In this embodiment, the number of corresponding students may be the number of students corresponding to the normal number of target classroom people.
The beneficial effects of the above technical scheme are: through counting up the number of students in the target classroom, the method is convenient for realizing accurate and effective check on the class absence condition of the students, and improves the monitoring management efficiency of the target classroom.
Example 5:
on the basis of embodiment 1, this embodiment provides a monitoring system for online education management, where the video recognition module further includes:
the device comprises a request acquisition unit, a video acquisition unit and a video acquisition unit, wherein the request acquisition unit is used for acquiring a classroom identifier of a target classroom and determining a video acquisition request based on the classroom identifier of the target classroom;
The request verification unit is used for inputting a preset verification code to verify the video acquisition request;
the data acquisition unit is used for acquiring classroom video data based on the video acquisition request when the video acquisition request passes verification;
the encapsulating unit is used for encapsulating the classroom video data according to a target protocol to generate a classroom video data packet;
and the data receiving unit is used for receiving the classroom video data packet and realizing the identification of the classroom video data packet.
In this embodiment, the class identifier is a kind of mark symbol used to mark class type and class requirement of the target class.
In this embodiment, the preset verification code is set in advance and is used to verify the video acquisition request.
In this embodiment, the classroom video data can be teaching content of a target classroom and monitoring video data of teachers and students.
In this embodiment, the target protocol may be a standard and rule used to express the encapsulation of video data.
The beneficial effects of the above technical scheme are: through encapsulating and packaging the video data of the target classroom, the video data contained in the target classroom can be accurately identified, so that the classroom state can be accurately judged, and the accuracy and effectiveness of monitoring and managing the target classroom according to the classroom state can be improved.
Example 6:
on the basis of embodiment 1, this embodiment provides a monitoring system for online education management, where the management module, as shown in fig. 3, further includes:
the classroom state identification unit is used for identifying the classroom state and respectively determining the classroom state of a target student and the classroom state of a target teacher;
the classroom state analysis unit is used for analyzing the classroom state of the target student according to a first preset rule and determining whether the target student accords with the first preset rule;
when the target student does not accord with the first preset rule, performing first alarm operation;
the classroom state analysis unit is also used for analyzing the classroom state of the target teacher according to a second preset rule and determining whether the target teacher accords with the second preset rule;
and when the target student does not accord with the second preset rule, performing second alarm operation.
In this embodiment, the first preset rule may be a rule set to the student, such as whether the student in question takes a class seriously in the class of interest, whether the student in question has something to do regardless of the class in the class of interest, and the like.
In this embodiment, the first alarm operation may be to lock the target classmate and send the status of the classmate to the teacher terminal.
In this embodiment, the second preset rule may be set for the teacher, such as whether the target teacher has a careful lecture in the target class, whether the target teacher is on a floor, or the like.
In this embodiment, the second alarm operation may be to lock the target teacher and perform an information alert on the target teacher.
The beneficial effects of the above technical scheme are: the classroom states of the teacher and the students are analyzed according to the monitoring data, so that corresponding alarm operation is ensured to be carried out when the classroom states of the teacher and the students do not meet requirements, and the on-line monitoring management efficiency and the supervision strength of the classroom are improved.
Example 7:
on the basis of embodiment 1, this embodiment provides a monitoring system for online education management, where the video recognition module includes:
the first reading unit is used for performing first reading on the classroom video, determining an audio frame signal in the classroom video and determining a starting frame of the audio frame signal;
the encoding unit is used for encoding the audio frame signal by taking a starting frame of the audio frame signal as an encoding head end and extracting an audio encoding state characteristic vector corresponding to the audio frame signal;
A feature extraction unit, configured to determine a sound feature in the classroom video based on the audio coding state feature vector, where the sound feature is used to characterize teacher audio and student audio in the classroom video;
the voice recognition model generation unit is used for inputting the voice characteristics in the classroom video to a preset convolution neural network for training and learning and constructing a voice recognition model of the target classroom based on the learning result;
the voice recognition document confirming unit is used for inputting the audio frame signals in the classroom videos into the voice recognition model for recognition, outputting a target text sequence according to a recognition result, and mapping the target text sequence to a voice recognition document;
the audio information confirming unit is used for reading the document content in the target document and confirming the audio information of the target class according to the document content;
a second reading unit, configured to perform second reading on the classroom video, and determine timestamp information of the classroom video, where the timestamp information includes: video frames, time points corresponding to the video frames and frame index positions;
The capturing unit is used for capturing teacher pictures and student pictures in the target classroom in real time according to the timestamp information of the classroom video;
and the video information confirming unit is used for confirming the video information in the classroom video based on the teacher picture and the student picture.
In this embodiment, the first reading may be reading a sound in a classroom video to determine an audio frame signal.
In this embodiment, the audio frame signal may be in the target video, and the sound of the teacher or the student in the target classroom corresponding to each frame may be in the classroom, the teaching sound of the teacher, the answering sound of the student, or the like.
In this embodiment, the start frame may be a start with valid information in the audio frame signal.
In this embodiment, the audio coding state feature vector may be a feature attribute of the audio frame signal determined after the audio frame signal is encoded.
In this embodiment, the sound feature may be a sound feature of a student or a teacher, for example, the thickness of the sound.
In this embodiment, the predetermined convolutional neural network is set in advance and is used for training the sound features.
In this embodiment, the target text sequence may be audio signals of students or teachers in a target classroom converted into corresponding text data.
In this embodiment, the audio information of the target class may be information of sound frequency, sound intensity, and the like of pronunciation of a teacher or a student in the target class.
In this embodiment, the second reading may be to extract a frame in the classroom video, and then determine the timestamp information.
In this embodiment, the video information confirmation unit further includes:
the feature vector extraction unit is used for extracting the face image at each frame index position in the target class according to the timestamp information and extracting feature vectors of the face image;
the image normalization processing unit is used for carrying out normalization processing on the face image according to the following formula based on the characteristic vector of the face image;
wherein q represents a feature vector of the face image before normalization; | q | chargingkDenotes a norm of order k for q, and k is 1, 2; δ represents a constant, and δ → 0 to avoid the occurrence of the zero condition;
the computing unit is used for segmenting the face image based on a cell unit after the normalization processing of the face image and computing the feature vector dimension of the face image after segmentation;
wherein m represents a feature value of the face image; s length of the face image; r represents the width of the face image; beta represents a unit size obtained by dividing the face image on the basis of cell units; mu represents a contour pixel value in the face image, is a constant and generally takes a value of 8; phi represents the number of channels of a histogram in a cell unit after the face image is segmented based on the cell unit;
And the estimation unit is used for extracting the expressions of the students in the face images based on the feature vector dimensions of the face images and estimating the acceptance degree of the students on the teaching contents of the target classroom based on the expressions of the students.
The beneficial effects of the above technical scheme are: the classroom video corresponding to the target classroom is analyzed, the audio and the picture of the student or the teacher in the classroom video are respectively monitored, the monitoring efficiency and the monitoring accuracy of the target classroom are improved, meanwhile, the monitoring comprehensiveness and the monitoring force are improved, and the efficient management of the online classroom is realized.
Example 8:
on the basis of embodiment 1, this embodiment provides a monitoring system for online education management, where the video recognition module further includes:
the reading unit is used for reading the audio information and determining the classroom teaching content of the teacher and the speaking content of the student according to the audio information;
the reading unit is further used for reading the video information and determining the expression state of the student in the student picture and the teaching state of the teacher in the teacher picture according to the video information;
the evaluation unit is used for evaluating the classroom teaching content of the teacher, the speaking content of the student, the expression state of the student in the student picture and the teaching state of the teacher in the teacher picture according to preset standards and acquiring an evaluation result;
And the classroom state confirmation unit is used for determining the classroom state of the target classroom based on the evaluation result.
In this embodiment, the preset criterion is set in advance for evaluating the states of students and teachers in a classroom.
The beneficial effects of the above technical scheme are: through evaluating the audio frequency and the picture of the student and the teacher, the classroom states of the student and the teacher are accurately evaluated, the student and the teacher in a target classroom are conveniently and pertinently monitored according to classroom state evaluation results, and the monitoring accuracy is improved.
Example 9:
on the basis of embodiment 1, the present embodiment provides a monitoring system for online education management, where the management module includes:
the classroom state reading unit is used for reading classroom states and determining classroom learning conditions of each classmate in the target classroom and teaching conditions of teachers;
the template determining unit is used for determining target record items based on the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher and matching a target report template from a preset report template base based on the target record items;
The data processing unit is used for determining configuration information of the target report template, and performing data format conversion on the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher based on the configuration information to obtain target data to be recorded;
the recording unit is used for determining a recording medium in the target report template based on the configuration information of the target report template and determining a starting recording unit of the target data to be recorded based on the recording medium;
the recording unit is also used for sequentially filling the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher into the target report template based on the initial recording unit to obtain a state recording table;
the monitoring standard acquisition unit is used for acquiring the learning state of the classmates of the monitoring terminal and a preset classroom discipline monitoring standard formulated according to the teaching state of the teacher;
the comparison unit is used for reading the state recording table and respectively comparing the classroom learning condition of the student and the teaching condition of the teacher with the corresponding preset classroom discipline monitoring standard based on the reading result;
the comparison unit is also used for carrying out alarm reminding operation when determining that the student or teacher breaks the classroom discipline in the target classroom based on the comparison result;
Otherwise, judging that the discipline of the target classroom is good, and continuously monitoring the target classroom until the target classroom is finished.
In this embodiment, the target record item may be a kind of data that needs to be recorded in the record table, and may be, for example, a name, a target class kind, a class status of a student and a teacher, and the like.
In this embodiment, the preset report template library is set in advance, and a plurality of different record report templates are stored in the preset report template library.
In this embodiment, the target report template may be a report template suitable for recording the current target record item, and is one of the preset report template libraries.
In this embodiment, the configuration information may be a format requirement of the target report template for the data to be recorded, and the like.
In this embodiment, the target data to be recorded may be data information that can be directly filled in the report template after the original data to be recorded is subjected to data format conversion according to the configuration information.
In this embodiment, the recording medium is a plurality of data recording units in the report template.
In this embodiment, the actual record unit may be the first data unit in the target report template that can fill in the record data.
In this embodiment, the status record table is obtained by correspondingly filling the classroom statuses of the students and teachers in the target report template.
In this embodiment, the preset classroom discipline monitoring standard is set in advance and is used for measuring the situation that students and teachers in a target classroom follow classroom records.
The beneficial effects of the above technical scheme are: through recording student and mr's classroom state respectively, be convenient for directly perceivedly when looking over student and mr in the concrete condition in target classroom to be convenient for realize giving an alarm in time and remind when student or mr violate classroom discipline, improved the managerial efficiency and the management effect to online classroom.
Example 10:
on the basis of embodiment 1, the present invention provides a monitoring system for online education management, wherein the management module further includes:
the classroom evaluation unit is used for determining the interaction indexes of students and teachers in the target classroom according to the classroom state and evaluating the activity of the target classroom according to the interaction indexes;
the classroom efficiency confirming unit is used for extracting the learning tasks distributed to the students by teachers in the target classroom and determining the completion rate of the students on the learning tasks;
the classroom evaluation unit is used for evaluating the target classroom according to the activity of the target classroom and the completion rate of the student on the learning task;
When the activity of the target classroom is equal to or greater than the reference activity and the completion rate of the student on the learning task is equal to or greater than the preset completion rate, the evaluation result of the target classroom is excellent;
when the activity of the target classroom is equal to or greater than the reference activity and the completion rate of the student on the learning task is less than the preset completion rate, or when the activity of the target classroom is less than the reference activity and the completion rate of the student on the learning task is equal to or greater than the preset completion rate, the evaluation result of the target classroom is good;
when the activity of the target classroom is less than the reference activity and the completion rate of the student on the learning task is less than the preset completion rate, the evaluation result of the target classroom is poor;
and the storage unit is used for recording and storing the evaluation result of the target classroom.
In this embodiment, the interaction index may be an interaction index determined by determining a question condition of a teacher and an answer condition of a student according to a classroom state, and is used to evaluate the activity of a target classroom, and classroom enthusiasm of the teacher and the student can be measured according to the activity of the target classroom.
In this embodiment, the completion rate of the learning task may be the number of students who complete the learning task and answer the correct learning task from the total number of students who arrive in the target classroom, and the mastering degree of the target classroom content by the students may be measured by the completion rate of the learning task.
In this embodiment, the liveness may be determined according to the interaction index, and is used to represent the liveness of the classroom, and the specific representation is performed by a dimensionless numerical value, and the liveness is greater when the numerical value is greater.
In this embodiment, the reference activity may be a value set in advance.
In this embodiment, the preset completion rate may be set in advance.
In this embodiment, the classroom evaluation unit further includes;
the beneficial effects of the above technical scheme are: the evaluation result of the target classroom can be accurately measured by determining the liveness of the target classroom and the completion rate of the learning task of the students, so that the objectivity of monitoring and management of the target classroom is realized, and the target classroom is accurately monitored.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A monitoring system for online education management, comprising:
the video monitoring module is used for monitoring classroom videos of teachers and students in a target classroom in real time;
the video identification module is used for identifying audio information and video information in the classroom video, analyzing the audio information and the video information and determining the classroom state;
and the management module is used for recording the classroom state in real time and managing the target classroom according to the recording result.
2. The monitoring system for the online education management according to claim 1, wherein the video monitoring module further comprises:
the video processing unit is used for extracting teaching contents of teachers in the classroom videos after the target classroom is finished, and denoising videos and audios corresponding to the teaching contents to generate target classroom video files;
and the storage unit is used for acquiring a video storage path and storing the target classroom video file to a target position based on the video storage path.
3. The monitoring system for the online education management according to claim 1, wherein the video monitoring module includes:
The face recognition unit is used for respectively acquiring a first face image of a target student and a second face image of a target teacher and recognizing the first face image and the second face image;
the class login unit is used for logging in the target class when the target teacher and the target student pass face recognition;
and the monitoring starting unit is used for acquiring the preset starting time of the target classroom and automatically starting the monitoring device to monitor the target classroom when the preset starting time is reached.
4. The monitoring system for online education management according to claim 3, wherein the classroom logging unit further includes:
a registration subunit configured to register the target student when the target student passes face recognition, and determine the number of the target student in the target class based on a registration result;
the number-of-people checker is used for comparing the number of the target students in the target class with the number of corresponding students and judging whether there are students in absence of class;
wherein the number of target students in the target class is less than or equal to the corresponding number of students;
when the number of the target students in the target class is less than the corresponding number of the students, judging that the students are in the absence class, counting the number of the students in the absence class and reason of the absence class, and storing the reason of the absence class of the students in the absence class;
And when the number of the target students in the target classroom is equal to the corresponding number, judging that no students are absent in the class.
5. The monitoring system for the online education management according to claim 1, wherein the video recognition module further includes:
the device comprises a request acquisition unit, a video acquisition unit and a video acquisition unit, wherein the request acquisition unit is used for acquiring a classroom identifier of a target classroom and determining a video acquisition request based on the classroom identifier of the target classroom;
the request verification unit is used for inputting a preset verification code to verify the video acquisition request;
the data acquisition unit is used for acquiring classroom video data based on the video acquisition request when the video acquisition request passes the verification;
the encapsulating unit is used for encapsulating the classroom video data according to a target protocol to generate a classroom video data packet;
and the data receiving unit is used for receiving the classroom video data packet and realizing the identification of the classroom video data packet.
6. The monitoring system for managing online education according to claim 1, wherein the management module further includes:
the classroom state identification unit is used for identifying the classroom state and respectively determining the classroom state of a target student and the classroom state of a target teacher;
The classroom state analysis unit is used for analyzing the classroom state of the target student according to a first preset rule and determining whether the target student accords with the first preset rule;
when the target student does not accord with the first preset rule, performing first alarm operation;
the classroom state analysis unit is also used for analyzing the classroom state of the target teacher according to a second preset rule and determining whether the target teacher accords with the second preset rule;
and when the target student does not accord with the second preset rule, performing second alarm operation.
7. The monitoring system for the online education management according to claim 1, wherein the video recognition module includes:
the first reading unit is used for performing first reading on the classroom video, determining an audio frame signal in the classroom video and determining a starting frame of the audio frame signal;
the encoding unit is used for encoding the audio frame signal by taking a starting frame of the audio frame signal as an encoding head end and extracting an audio encoding state characteristic vector corresponding to the audio frame signal;
a feature extraction unit, configured to determine, based on the audio coding state feature vector, a sound feature in the classroom video, where the sound feature is used to characterize teacher audio and student audio in the classroom video;
The voice recognition model generation unit is used for inputting the voice characteristics in the classroom video to a preset convolution neural network for training and learning and constructing a voice recognition model of the target classroom based on the learning result;
the voice recognition document confirming unit is used for inputting the audio frame signals in the classroom videos into the voice recognition model for recognition, outputting a target text sequence according to a recognition result, and mapping the target text sequence to a voice recognition document;
the audio information confirming unit is used for reading the document content in the target document and confirming the audio information of the target class according to the document content;
a second reading unit, configured to perform second reading on the classroom video, and determine timestamp information of the classroom video, where the timestamp information includes: video frames, time points corresponding to the video frames and frame index positions;
the capturing unit is used for capturing teacher pictures and student pictures in the target classroom in real time according to the timestamp information of the classroom video;
and the video information confirming unit is used for confirming the video information in the classroom video based on the teacher picture and the student picture.
8. The monitoring system for online education management according to claim 1, wherein the video recognition module further includes:
the reading unit is used for reading the audio information and determining the classroom teaching content of the teacher and the speaking content of the student according to the audio information;
the reading unit is further used for reading the video information and determining the expression state of the student in the student picture and the teaching state of the teacher in the teacher picture according to the video information;
the evaluation unit is used for evaluating the classroom teaching content of the teacher, the speaking content of the student, the expression state of the student in the student picture and the teaching state of the teacher in the teacher picture according to preset standards and acquiring an evaluation result;
and the classroom state confirmation unit is used for determining the classroom state of the target classroom based on the evaluation result.
9. The monitoring system for the management of online education according to claim 1, wherein the management module includes:
the classroom state reading unit is used for reading classroom states and determining classroom learning conditions of each classmate in the target classroom and teaching conditions of teachers;
The template determining unit is used for determining target record items based on the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher and matching a target report template from a preset report template base based on the target record items;
the data processing unit is used for determining the configuration information of the target report template and performing data format conversion on the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher based on the configuration information to obtain target data to be recorded;
the recording unit is used for determining a recording medium in the target report template based on the configuration information of the target report template and determining a starting recording unit of the target data to be recorded based on the recording medium;
the recording unit is further used for sequentially filling the classroom learning condition of each classmate in the target classroom and the teaching condition of a teacher into the target report template based on the initial recording unit to obtain a state recording table;
the monitoring standard acquisition unit is used for acquiring the learning state of the classmates of the monitoring terminal and a preset classroom discipline monitoring standard formulated according to the teaching state of the teacher;
The comparison unit is used for reading the state recording table and respectively comparing the classroom learning condition of the student and the teaching condition of the teacher with the corresponding preset classroom discipline monitoring standard based on the reading result;
the comparison unit is also used for carrying out alarm reminding operation when determining that the student or teacher breaks the classroom discipline in the target classroom based on the comparison result;
otherwise, judging that the discipline of the target class is good, and continuously monitoring the target class until the target class is finished.
10. The monitoring system for online education management according to claim 1, wherein the management module further includes:
the classroom evaluation unit is used for determining the interaction indexes of students and teachers in the target classroom according to the classroom state and evaluating the activeness of the target classroom according to the interaction indexes;
the classroom efficiency confirming unit is used for extracting the learning tasks distributed to the students by teachers in the target classroom and determining the completion rate of the students on the learning tasks;
the classroom evaluation unit is used for evaluating the target classroom according to the activity of the target classroom and the completion rate of the student on the learning task;
When the activity of the target classroom is equal to or greater than the reference activity and the completion rate of the student on the learning task is equal to or greater than the preset completion rate, the evaluation result of the target classroom is excellent;
when the activity of the target classroom is equal to or greater than the reference activity and the completion rate of the student on the learning task is less than the preset completion rate, or when the activity of the target classroom is less than the reference activity and the completion rate of the student on the learning task is equal to or greater than the preset completion rate, the evaluation result of the target classroom is good;
when the activity of the target classroom is less than the reference activity and the completion rate of the student on the learning task is less than the preset completion rate, the evaluation result of the target classroom is poor;
and the storage unit is used for recording and storing the evaluation result of the target classroom.
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