Online education intelligent management system

Abstract

The invention relates to an intelligent management system for online education. The intelligent management system comprises a dynamic screening device, a customized filtering device, a double-layer sharpening device and an information application device. The online education intelligent management system is compact in structure, stable in operation and capable of guaranteeing the playing quality of online education video pictures.

Description

Technical Field

[0001] The present invention relates to the field of online education, and in particular to an online education intelligent management system. Background Art

[0002] In online education classes, teachers publish some classroom tasks through BBS or email, students communicate in class through BBS or online chat, and students submit class assignments through BBS or email. The Internet has advanced real-time communication technologies such as BBS and online chat, which provides an equal opportunity for communication for each user. Online education makes interactive learning possible, creating an environment for mutual communication, information sharing, and cooperative learning. Online education enables teachers and students to present information in an interactive way in education. Students not only receive but also express on the Internet. Teachers can adjust education according to student feedback. Students can interact with teachers, ask questions, ask for guidance, and express their own opinions; students can also interact with each other, which is conducive to the role of group learning and collaborative learning. This interactive education strengthens the communication between teachers and students and between students, and has a positive effect on improving the quality of education and learning effects.

[0003] For example, CN119168819A discloses a knowledge recommendation method, apparatus, computer equipment and medium for an online education platform, including: constructing a heterogeneous information network of the online education platform, and dynamically generating semantic embeddings of knowledge concepts to obtain basic embedding information; enhancing and optimizing the basic embedding information for knowledge concepts to obtain enhanced embedding information; based on the enhanced embedding information, constructing a multi-type user interaction graph that incorporates time context information; performing message transmission in the multi-type user interaction graph, updating the node embeddings of users and knowledge concepts, and obtaining target embedding information; weightedly fusing target embedding information from different sources through a semantic attention module to obtain fused embedding information; using an extended matrix decomposition model and fused embedding information to predict user preferences for knowledge concepts and generate recommendation information, thereby improving the accuracy of knowledge recommendation on the online education platform.

[0004] CN119168824A discloses an online education method and an online education platform, which realizes accurate screening of students' online learning status and accurate evaluation of teaching quality. The online education method includes: the user end logs in and screens to obtain student identity information, and the learning management system LMS at the input end automatically screens and obtains students' real-time learning speed parameters and real-time class completion parameters according to the screening strategy; obtains the class matching status within the target time period according to the real-time learning speed parameters and real-time class completion parameters of the students' current subjects, and determines the concentration coefficient of the students' current subjects; judges the class matching status of the subject within the target time period according to the concentration coefficient of the students' current subjects, judges the teaching quality evaluation and adjusts the screening strategy; obtains the students' real-time learning speed parameter set and real-time class completion parameter set and inputs them into the evaluation model for teaching evaluation analysis.

[0005] CN119071577A discloses a method and device for enhancing the teaching effect of intelligent online video in real time, and the method includes: obtaining the teaching effect data of the currently played teaching sub-video; comparing the magnitude relationship between the teaching effect data and the set threshold respectively; playing the next teaching sub-video or playing the backup teaching sub-video of the current teaching sub-video according to the magnitude relationship. Through the device, multiple online education videos are provided for the teaching content of the same subject, and online education videos are dynamically selected according to the online video teaching effect, which can better improve the online video teaching effect; the online video teaching effect is grasped in real time, and the teaching method is adjusted in real time and dynamically to enhance the online video teaching effect. Summary of the invention

[0006] In order to overcome the technical problems in the prior art, the present invention proposes an online education intelligent management system, which can, on the basis of customized screening of relevant visual data, use a convolutional neural network after multiple learning to intelligently identify whether the teaching stick is in a deformed state. The number of times the convolutional neural network is learned is positively correlated with the resolution of the current captured image, thereby constructing artificial intelligence models with different customized structures for different online education environments, thereby ensuring the effectiveness and stability of the intelligent identification results.

[0007] According to the present invention, there is provided an online education intelligence management system, the system comprising: A dynamic screening device is used to detect the existence of a pointer in the current captured image of online education, and when the pointer exists in the current captured image, the current captured image is output as an image to be identified; A customized filtering device, connected to the dynamic screening device, for successively performing smoothing linear filtering processing and maximum value filtering processing on the received image to be identified, so as to obtain and output a corresponding customized filtered image; A double-layer sharpening device, connected to the custom filtering device, for successively performing Kirsch operator sharpening processing and high-pass filter sharpening processing on the received custom filtered image, so as to obtain and output a corresponding double-layer sharpened image; An information application device, comprising a length acquisition unit, a height acquisition unit and a level extraction unit and connected to the double-layer sharpening device, wherein the level extraction unit is respectively connected to the length acquisition unit and the height acquisition unit, and the information application device is used to receive the double-layer sharpened image, extract the sub-picture of the pointer in the double-layer sharpened image based on the grayscale value distribution range corresponding to the pointer, obtain the row numbers corresponding to the pixel rows occupied by the sub-picture and the column numbers corresponding to the pixel columns occupied by the sub-picture, and use an artificial intelligence model to identify the actual deformation level corresponding to the pointer based on the shape data of the standard geometric shape corresponding to the pointer, the row numbers corresponding to the pixel rows occupied by the sub-picture and the column numbers corresponding to the pixel columns occupied by the sub-picture, and the shape data of the standard geometric shape corresponding to the pointer is the curvature value at each location of the edge curve of the standard geometric shape corresponding to the pointer; The artificial intelligence model is used to identify the actual deformation level of the pointer based on the shape data of the standard geometric shape corresponding to the pointer, the row numbers corresponding to the pixel rows occupied by the sub-screen, and the column numbers corresponding to the pixel columns occupied by the sub-screen, and the shape data of the standard geometric shape corresponding to the pointer is the curvature value of each edge curve of the standard geometric shape corresponding to the pointer, including: the artificial intelligence model is a convolutional neural network that has completed multiple learnings, and the number of learnings of the convolutional neural network is positively correlated with the resolution of the current captured image; Among them, the dynamic screening device is used to detect the existence of a pointer in the current shot image of online education, and when a pointer exists in the current shot image, the current shot image is output as an image to be identified, including: identifying each pointer-constituting pixel point in the current shot image of online education based on the grayscale value distribution range of the pointer, performing an isolated pointer-constituting pixel point removal operation on each pointer-constituting pixel point in the current shot image of online education to obtain the remaining multiple pointer-constituting pixel points, and using the image area occupied by the remaining multiple pointer-constituting pixel points as the pointer-occupied area.

[0008] It can be seen that the present invention has at least the following three important invention points: Firstly, a specially designed information application device including a length acquisition unit, a height acquisition unit and a level extraction unit is used to complete the intelligent identification of whether the pointer is in a deformed state, thereby avoiding the use of deformed pointers with shape deviations and avoiding visual deformities of pointers caused by online education image acquisition, thus improving the intelligent level of online education management; Secondly: parsing the image block of the pointer in the double-layer sharpened image as the reference image block, obtaining the pixel lengths corresponding to the pixel rows occupied by the reference image block in the double-layer sharpened image, and obtaining the pixel heights corresponding to the pixel columns occupied by the reference image block in the double-layer sharpened image, wherein the pixel length is the number of pixels in the corresponding pixel row, and the pixel height is the number of pixels in the corresponding pixel column, wherein the double-layer sharpened image is a higher quality image obtained after targeted optimization processing of the online education image with the pointer; Again: an artificial intelligence model is used to intelligently identify whether the pointer is in a deformed state based on the binary numerical sequence corresponding to the reference figure corresponding to the pointer, the length of each pixel and the height of each pixel, wherein the artificial intelligence model is a convolutional neural network that has completed multiple learnings and the number of learnings of the convolutional neural network is positively correlated with the resolution of the current captured image, thereby constructing artificial intelligence models with different customized structures for different online education environments, ensuring the effectiveness and stability of the intelligent identification results.

[0009] The online education intelligent management system of the present invention has a compact structure and stable operation. Since it can use a convolutional neural network that has completed multiple learnings to intelligently identify whether the teaching stick is in a deformed state based on the customized screening of relevant visual data, the number of times the convolutional neural network has been learned is positively correlated with the resolution of the current captured image, thereby ensuring the playback quality of the online education video screen. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0011] Figure 1 It is a block diagram of the internal structure of the online education intelligent management system according to implementation scheme 1 of the present invention.

[0012] Figure 2 This is a block diagram of the internal structure of an online education intelligence management system according to implementation scheme 2 of the present invention.

[0013] Figure 3 This is a block diagram of the internal structure of an online education intelligence management system according to implementation scheme 3 of the present invention. DETAILED DESCRIPTION

[0014] Currently, in the process of online education, when teachers use a pointer to explain and demonstrate, due to improper debugging of the camera mechanism or excessive interference in the transmission channel, a deformed pointer with shape deviation may appear in the video image transmitted to the student client, thus seriously affecting the picture quality of the online education video image. The existing technology lacks a targeted and high-precision pointer deformation detection mechanism.

[0015] The implementation scheme of the online education intelligent management system of the present invention will be described in detail below with reference to the accompanying drawings.

[0016] Figure 1 The internal structure block diagram of the online education wisdom management system according to the embodiment 1 of the present invention is shown, and the system includes: A dynamic screening device is used to detect the existence of a pointer in the current captured image of online education, and when the pointer exists in the current captured image, the current captured image is output as an image to be identified; For example, a dynamic screening device for detecting the existence of a pointer on a current captured image of online education, and outputting the current captured image as an image to be identified when a pointer exists in the current captured image, includes: selecting a MATLAB toolbox to implement simulation and testing for detecting the existence of a pointer on a current captured image of online education, and outputting the current captured image as an image to be identified when a pointer exists in the current captured image; A customized filtering device, connected to the dynamic screening device, for successively performing smoothing linear filtering processing and maximum value filtering processing on the received image to be identified, so as to obtain and output a corresponding customized filtered image; A double-layer sharpening device, connected to the custom filtering device, for successively performing Kirsch operator sharpening processing and high-pass filter sharpening processing on the received custom filtered image, so as to obtain and output a corresponding double-layer sharpened image; An information application device, comprising a length acquisition unit, a height acquisition unit and a level extraction unit and connected to the double-layer sharpening device, wherein the level extraction unit is respectively connected to the length acquisition unit and the height acquisition unit, and the information application device is used to receive the double-layer sharpened image, extract the sub-picture of the pointer in the double-layer sharpened image based on the grayscale value distribution range corresponding to the pointer, obtain the row numbers corresponding to the pixel rows occupied by the sub-picture and the column numbers corresponding to the pixel columns occupied by the sub-picture, and use an artificial intelligence model to identify the actual deformation level corresponding to the pointer based on the shape data of the standard geometric shape corresponding to the pointer, the row numbers corresponding to the pixel rows occupied by the sub-picture and the column numbers corresponding to the pixel columns occupied by the sub-picture, and the shape data of the standard geometric shape corresponding to the pointer is the curvature value at each location of the edge curve of the standard geometric shape corresponding to the pointer; The artificial intelligence model is used to identify the actual deformation level of the pointer based on the shape data of the standard geometric shape corresponding to the pointer, the row numbers corresponding to the pixel rows occupied by the sub-screen, and the column numbers corresponding to the pixel columns occupied by the sub-screen, and the shape data of the standard geometric shape corresponding to the pointer is the curvature value of each edge curve of the standard geometric shape corresponding to the pointer, including: the artificial intelligence model is a convolutional neural network that has completed multiple learnings, and the number of learnings of the convolutional neural network is positively correlated with the resolution of the current captured image; Among them, the dynamic screening device is used to detect the existence of a pointer on the current shot image of online education, and when there is a pointer in the current shot image, output the current shot image as an image to be identified, including: identifying each pointer constituting pixel point in the current shot image of online education based on the grayscale value distribution range of the pointer, performing an isolated pointer constituting pixel point removal operation on each pointer constituting pixel point in the current shot image of online education to obtain a plurality of remaining pointer constituting pixel points, and using the image area occupied by the remaining plurality of pointer constituting pixel points as the pointer occupying area; Among them, the dynamic screening device is used to detect the existence of a teaching stick in the current shot image of online education, and when there is a teaching stick in the current shot image, the current shot image is output as the image to be identified, and also includes: when the area ratio of the area occupied by the teaching stick to the current shot image is greater than or equal to a set ratio threshold, it is judged that there is a teaching stick in the current shot image, otherwise, it is judged that there is no teaching stick in the current shot image.

[0017] Figure 2 This is a block diagram of the internal structure of an online education intelligence management system according to implementation scheme 2 of the present invention.

[0018] Compared to Figure 1 , Figure 2 The online education wisdom management system in the system can also include the following components: A timing server component is connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device respectively, and is used to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with the timing services they need respectively; The timing server is connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device respectively, and is used to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with the timing services required by each of them, including: the timing server uses the same timing clock to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with the timing services required by each of them; Among them, the timing server uses the same timing clock to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with the timing services they need respectively, including: the timing server uses the same timing clock to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with reference clock signals of various changing waveforms of the same timing clock.

[0019] Figure 3 This is a block diagram of the internal structure of an online education intelligence management system according to implementation scheme 3 of the present invention.

[0020] Compared to Figure 1 , Figure 3 The online education wisdom management system in the system can also include the following components: A parallel data bus is connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device respectively, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device; Wherein, the parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, including: providing a 64-bit parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device; Wherein, the parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, including: providing a 32-bit parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device; Wherein, the parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, including: providing a 16-bit parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device; And wherein, the parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device. It also includes: the distance between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device is less than or equal to a set distance threshold.

[0021] In addition, in the online education intelligent management system, each pointer constituting pixel point in the current captured image of the online education is identified based on the grayscale value distribution range of the pointer, and an isolated pointer constituting pixel point removal operation is performed on each pointer constituting pixel point in the current captured image of the online education to obtain a plurality of remaining pointer constituting pixel points, and the image area occupied by the plurality of remaining pointer constituting pixel points is used as the pointer occupied area, including: the grayscale value of each pointer constituting pixel point is within the grayscale value distribution range of the pointer.

[0022] The present invention has been described in great detail above, so that after reading and understanding this specification, various changes and modifications of the present invention will become obvious to those skilled in the art. Therefore, all such changes and modifications are also included in this invention, and therefore they are within the scope of protection of the claims.

Claims

1. An online education intelligent management system, characterized in that: The system comprises: A dynamic screening device is used to detect the existence of a pointer in the current captured image of online education, and when the pointer exists in the current captured image, the current captured image is output as an image to be identified; A customized filtering device, connected to the dynamic screening device, for successively performing smoothing linear filtering processing and maximum value filtering processing on the received image to be identified, so as to obtain and output a corresponding customized filtered image; A double-layer sharpening device, connected to the custom filtering device, for successively performing Kirsch operator sharpening processing and high-pass filter sharpening processing on the received custom filtered image, so as to obtain and output a corresponding double-layer sharpened image; An information application device, comprising a length acquisition unit, a height acquisition unit and a level extraction unit and connected to the double-layer sharpening device, wherein the level extraction unit is respectively connected to the length acquisition unit and the height acquisition unit, and the information application device is used to receive the double-layer sharpened image, extract the sub-picture of the pointer in the double-layer sharpened image based on the grayscale value distribution range corresponding to the pointer, obtain the row numbers corresponding to the pixel rows occupied by the sub-picture and the column numbers corresponding to the pixel columns occupied by the sub-picture, and use an artificial intelligence model to identify the actual deformation level corresponding to the pointer based on the shape data of the standard geometric shape corresponding to the pointer, the row numbers corresponding to the pixel rows occupied by the sub-picture and the column numbers corresponding to the pixel columns occupied by the sub-picture, and the shape data of the standard geometric shape corresponding to the pointer is the curvature value at each location of the edge curve of the standard geometric shape corresponding to the pointer; The artificial intelligence model is used to identify the actual deformation level of the pointer based on the shape data of the standard geometric shape corresponding to the pointer, the row numbers corresponding to the pixel rows occupied by the sub-screen, and the column numbers corresponding to the pixel columns occupied by the sub-screen, and the shape data of the standard geometric shape corresponding to the pointer is the curvature value of each edge curve of the standard geometric shape corresponding to the pointer, including: the artificial intelligence model is a convolutional neural network that has completed multiple learnings, and the number of learnings of the convolutional neural network is positively correlated with the resolution of the current captured image; Among them, the dynamic screening device is used to detect the existence of a pointer in the current shot image of online education, and when a pointer exists in the current shot image, the current shot image is output as an image to be identified, including: identifying each pointer-constituting pixel point in the current shot image of online education based on the grayscale value distribution range of the pointer, performing an isolated pointer-constituting pixel point removal operation on each pointer-constituting pixel point in the current shot image of online education to obtain the remaining multiple pointer-constituting pixel points, and using the image area occupied by the remaining multiple pointer-constituting pixel points as the pointer-occupied area.

2. The online education wisdom management system according to claim 1, characterized in that: A dynamic screening device is used to detect the presence of a teaching stick in a current shot image of online education, and when a teaching stick exists in the current shot image, output the current shot image as an image to be identified. It also includes: when the proportion of the area occupied by the teaching stick in the current shot image is greater than or equal to a set proportion threshold, it is judged that there is a teaching stick in the current shot image; otherwise, it is judged that there is no teaching stick in the current shot image.

3. The online education wisdom management system as claimed in claim 2, characterized in that: The system further comprises: A timing server component is connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device respectively, and is used to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with the timing services they need respectively; Among them, the timing server is respectively connected to the length collection unit, the height collection unit, the level extraction unit and the double-layer sharpening device, and is used to provide the length collection unit, the height collection unit, the level extraction unit and the double-layer sharpening device with their respective required timing services, including: the timing server uses the same timing clock to provide the length collection unit, the height collection unit, the level extraction unit and the double-layer sharpening device with their respective required timing services.

4. The online education wisdom management system as claimed in claim 3, characterized in that: The timing server uses the same timing clock to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with the timing services they need, including: the timing server uses the same timing clock to provide the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device with reference clock signals of various changing waveforms of the same timing clock.

5. The online education wisdom management system as claimed in claim 3, characterized in that: The system further comprises: A parallel data bus is connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device respectively, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device.

6. The online education wisdom management system according to claim 5, characterized in that: A parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, including: providing a 64-bit parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device.

7. The online education wisdom management system according to claim 5, characterized in that: A parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, including: providing a 32-bit parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device.

8. The online education wisdom management system according to claim 5, characterized in that: A parallel data bus is respectively connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device, including: providing a 16-bit parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device.

9. The online education wisdom management system according to claim 5, characterized in that: A parallel data bus is connected to the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device respectively, and is used to provide a parallel data communication link between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device. The distance between the length acquisition unit, the height acquisition unit, the level extraction unit and the double-layer sharpening device is less than or equal to a set distance threshold.

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