Distance Education Intelligent Monitoring System

By analyzing the curvature value and image area of ​​the book edge in the intelligent monitoring system of distance education, and combining with the secondary confirmation mechanism of the wireless communication interface, the problem of graffiti behavior detection in distance education is solved, and high-precision intelligent judgment is achieved.

CN119152435BActive Publication Date: 2025-04-22BEIJING KINGTOP TECH
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Patent Information

Application Number
CN202411366441.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2024-01-11
Filing Date
2024-09-29
Publication Date
2025-04-22
Estimated Expiration
2044-09-29

AI Technical Summary

Technical Problem

During distance education, it is very difficult to detect whether users have graffiti behavior and is easily confused with normal homework or taking notes.

Method used

A distance education intelligent monitoring system is designed to determine whether the book is occupied by graffiti patterns by analyzing the reference pattern of the book and the edge curvature values ​​of the image area. The system also includes a wireless communication interface for sending manual monitoring requests to the monitoring management server when graffiti behavior is detected.

Benefits of technology

It realizes intelligent judgment on whether the educated personnel have violated graffiti behavior during distance education, improves the accuracy of the graffiti behavior, and ensures accuracy through the secondary confirmation mechanism.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention relates to an intelligent monitoring system for remote education, comprising: a state identification device for obtaining each curvature value on the edge curve of a reference pattern of a book, visually judging whether a part of the surface area of ​​the book is occupied by a graffiti pattern or not; a wireless communication interface for wirelessly sending a manual monitoring request to a monitoring management server of a remote education client when judging that a part of the surface area of ​​the book is occupied by a graffiti pattern. Through the present invention, a targeted visual judgment mechanism can be used to realize intelligent judgment of whether the educated person has illegal graffiti and uneducated behavior during the remote education process, and when intelligently judging that a part of the surface area of ​​the book is occupied by a graffiti pattern, a manual monitoring request is wirelessly sent to the monitoring management server of the remote education client to trigger a secondary confirmation of the existence of illegal graffiti behavior by the educated person during the remote education process.
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Description

Technical Field

[0001] The present invention relates to the field of distance education, and in particular to a distance education intelligent monitoring system. Background Art

[0002] Graffiti (English: GRAFFITI) is a kind of visual font design art. Graffiti includes a lot of content, mainly deformed English fonts, followed by 3D realism, character realism, various scene realism, cartoon characters, etc., with bright colors to create a strong visual effect and propaganda effect. In distance education, graffiti can also refer to the bad behavior of distance education users to draw on their homework books without regard to the teaching content.

[0003] However, it is very difficult to detect the behavior of distance education users doodling during the distance education process, and it is easy to be confused with other behaviors, for example, it is easy to be confused with normal homework and normal note-taking. Therefore, how to accurately identify the behavior of distance education users doodling during the distance education process is one of the technical problems that need to be solved at present. Summary of the invention

[0004] In order to solve the technical problems in related fields, the present invention provides an intelligent monitoring system for distance education, which can judge that part of the surface area of ​​the book is occupied by graffiti patterns when the curvature values ​​on the edge curve of the reference pattern of the book do not correspond to the curvature values ​​of the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book and the image area of ​​the graffiti pattern overlap, otherwise, judge that part of the surface area of ​​the book is not occupied by graffiti patterns, thereby realizing intelligent judgment of whether the educated person has violated the regulations and engaged in graffiti and uneducated behavior during the distance education process, and also references a wireless communication interface for wirelessly sending a manual monitoring request to the monitoring management server of the distance education client when it is intelligently judged that part of the surface area of ​​the book is occupied by graffiti patterns, so as to trigger a secondary confirmation of the educated person's violation of the regulations and graffiti behavior during the distance education process.

[0005] According to the present invention, a remote education intelligent monitoring system is provided, the system comprising:

[0006] A desktop acquisition device is provided on a remote education client and is used to perform image data acquisition on a desktop environment corresponding to the client when the client is running, so as to obtain and output a corresponding directional acquisition image;

[0007] A guided filtering device, arranged at the client and connected to the desktop acquisition device, is used to perform guided filtering processing on the received directional acquisition image to obtain and output a corresponding guided filtering image;

[0008] An exponential enhancement device, connected to the guided filtering device, for performing an image content enhancement process based on an exponential transformation on the received guided filtering image to obtain and output a corresponding exponentially enhanced image;

[0009] A directional sharpening device, connected to the exponential enhancement device, for sequentially performing horizontal direction sharpening processing and vertical direction sharpening processing on the received exponential enhancement image to obtain and output a corresponding directional sharpened image;

[0010] a state identification device, arranged at the client and connected to the direction sharpening device, comprising a parameter extraction device, a collection processing device and an identification execution device, wherein the collection processing device is respectively connected to the parameter extraction device and the identification execution device, and the state identification device is used to obtain each curvature value on the edge curve of the reference pattern of the book, detect the image area of ​​the book based on the brightness value interval corresponding to the book in the received direction sharpened image, and obtain each curvature value of the edge curve of the image area, and when each curvature value on the edge curve of the reference pattern of the book does not correspond to each curvature value of the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern, it is judged that part of the surface area of ​​the book is occupied by the graffiti pattern, otherwise, it is judged that part of the surface area of ​​the book is not occupied by the graffiti pattern;

[0011] The wireless communication interface is connected to the state identification device and is used to wirelessly send a manual monitoring request to the monitoring management server of the client when it is determined that a part of the surface area of ​​the book is occupied by graffiti patterns.

[0012] The present invention solves the technical problems in the related fields. When the curvature values ​​on the edge curve of the reference pattern of the book do not correspond to the curvature values ​​on the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern, it can be judged that part of the surface area of ​​the book is occupied by the graffiti pattern. Otherwise, it is judged that part of the surface area of ​​the book is not occupied by the graffiti pattern, thereby realizing intelligent judgment of whether the educated person has violated the regulations and engaged in graffiti and uneducated behavior during the distance education process. At the same time, a wireless communication interface is used to wirelessly send a manual monitoring request to the monitoring management server of the remote education client when it is intelligently judged that part of the surface area of ​​the book is occupied by the graffiti pattern, so as to trigger a secondary confirmation of the educated person's violation of the regulations and graffiti behavior during the distance education process. DETAILED DESCRIPTION

[0013] The implementation scheme of the remote education intelligent monitoring system of the present invention will be described in detail below.

[0014] Example 1

[0015] According to embodiment 1 of the present invention, a remote education intelligent monitoring system is shown, the system comprising:

[0016] A desktop acquisition device is provided on a remote education client and is used to perform image data acquisition on a desktop environment corresponding to the client when the client is running, so as to obtain and output a corresponding directional acquisition image;

[0017] A guided filtering device, arranged at the client and connected to the desktop acquisition device, is used to perform guided filtering processing on the received directional acquisition image to obtain and output a corresponding guided filtering image;

[0018] Specifically, the guided filtering device is arranged on the client and connected to the desktop acquisition device, and is used to perform guided filtering processing on the received directional acquisition image to obtain and output the corresponding guided filtering image, including: a programmable logic device can be selected to implement the guided filtering device, which is arranged on the client and connected to the desktop acquisition device, and is used to perform guided filtering processing on the received directional acquisition image to obtain and output the corresponding guided filtering image;

[0019] An exponential enhancement device, connected to the guided filtering device, for performing an image content enhancement process based on an exponential transformation on the received guided filtering image to obtain and output a corresponding exponentially enhanced image;

[0020] A directional sharpening device, connected to the exponential enhancement device, for sequentially performing horizontal direction sharpening processing and vertical direction sharpening processing on the received exponential enhancement image to obtain and output a corresponding directional sharpened image;

[0021] a state identification device, arranged at the client and connected to the direction sharpening device, comprising a parameter extraction device, a collection processing device and an identification execution device, wherein the collection processing device is respectively connected to the parameter extraction device and the identification execution device, and the state identification device is used to obtain each curvature value on the edge curve of the reference pattern of the book, detect the image area of ​​the book based on the brightness value interval corresponding to the book in the received direction sharpened image, and obtain each curvature value of the edge curve of the image area, and when each curvature value on the edge curve of the reference pattern of the book does not correspond to each curvature value of the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern, it is judged that part of the surface area of ​​the book is occupied by the graffiti pattern, otherwise, it is judged that part of the surface area of ​​the book is not occupied by the graffiti pattern;

[0022] A wireless communication interface connected to the state identification device, used to wirelessly send a manual monitoring request to the monitoring management server of the client when it is determined that a portion of the surface area of ​​the book is occupied by graffiti patterns;

[0023] The wireless communication interface is further used to suspend the wireless transmission of the manual monitoring request to the monitoring management server of the client when it is determined that the surface area of ​​the book is not partially occupied by the graffiti pattern;

[0024] Among them, the state identification device also includes an MCU control chip, which is connected to the parameter extraction device, the collective processing device and the identification execution device respectively, and is used to provide on-site configuration services of working parameters for the parameter extraction device, the collective processing device and the identification execution device respectively.

[0025] Example 2

[0026] The graffiti pattern according to the present invention illustrates a remote education intelligent monitoring system.

[0027] Compared with Example 1, the remote education intelligent monitoring system shown by the graffiti pattern in Example 2 may also include the following components:

[0028] A positioning server device, connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, respectively, for providing the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device with respective current instant positioning data;

[0029] Wherein, the positioning server is respectively connected with the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, and is used to provide the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device with their respective current instant positioning data, including: the positioning server includes a plurality of positioning service units, which are respectively connected with the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, so as to complete the respective supply of the current instant positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device;

[0030] Wherein, the positioning server device includes a plurality of positioning service units, which are used to be connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, so as to complete the supply of the current instant positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, including: the plurality of positioning service units are a plurality of positioning sensors, which are used to be connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, so as to complete the supply of the current instant positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively;

[0031] Wherein, the plurality of positioning service units are a plurality of positioning sensors, which are used to be connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, so as to complete the supply of the current instant positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, including: the structures of the plurality of positioning service units are the same;

[0032] Among them, the multiple positioning service units are multiple positioning sensors, which are used to connect with the guiding filtering device, the exponential enhancement device, the direction sharpening device and the state identification device respectively, so as to complete the separate supply of current instant positioning data of the guiding filtering device, the exponential enhancement device, the direction sharpening device and the state identification device respectively, and also include: the multiple positioning sensors have the same positioning range.

[0033] Example 3

[0034] Embodiment 3 of the present invention shows an intelligent monitoring system for remote education.

[0035] Compared with Example 1, the remote education intelligent monitoring system shown in Example 3 may also include the following components:

[0036] A user control interface is connected to the plurality of positioning service units of the guided filtering device, the index enhancement device, the direction sharpening device and the state identification device, respectively, and is used to synchronously control the current working mode of the positioning service units of the guided filtering device, the index enhancement device, the direction sharpening device and the state identification device;

[0037] Wherein, the user control interface is respectively connected to the plurality of positioning service units of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, and is used to synchronously control the current working mode of the positioning service units of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, including: the current working mode of the positioning service units of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively is a sleep working mode or a running working mode;

[0038] Among them, the user control interface is respectively connected to multiple positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, and is used to synchronously control the current working mode of the respective positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, including: the multiple positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device are all based on the Beidou positioning mechanism.

[0039] In addition, in the remote education intelligent monitoring system, a state identification device is arranged on the client and connected to the direction sharpening device, including a parameter extraction device, a collection processing device and an identification execution device, the collection processing device is respectively connected to the parameter extraction device and the identification execution device, the state identification device is used to obtain each curvature value on the edge curve of the reference pattern of the book, detect the image area of ​​the book based on the brightness value interval corresponding to the book in the received direction sharpened image, and obtain each curvature value of the edge curve of the image area, when the each curvature value on the edge curve of the reference pattern of the book does not correspond to the each curvature value of the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern, it is judged that part of the surface area of ​​the book is occupied by the graffiti pattern, otherwise, it is judged that part of the surface area of ​​the book is not occupied by the graffiti pattern, including: The parameter extraction device is used to obtain each curvature value on the edge curve of the reference pattern of the book, detect the image area of ​​the book based on the brightness value interval corresponding to the book in the received direction-sharpened image, and obtain each curvature value of the edge curve of the image area. The collective processing device is used to detect the image area of ​​the book based on the brightness value interval corresponding to the book in the received direction-sharpened image, and obtain each curvature value of the edge curve of the image area. The identification execution device is used to determine that a part of the surface area of ​​the book is occupied by the graffiti pattern when the curvature values ​​on the edge curve of the reference pattern of the book do not correspond to the curvature values ​​of the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern. Otherwise, it is determined that a part of the surface area of ​​the book is not occupied by the graffiti pattern. The parameter extraction device, the collective processing device and the identification execution device are connected in sequence.

[0040] The present invention has at least the following three important inventive features:

[0041] Important invention point A: A state identification device including an MCU control chip, a parameter extraction device, a collection processing device, and an identification execution device is used to automatically and visually determine whether a portion of the surface area of ​​a book is occupied by graffiti patterns;

[0042] Important invention point B: When the curvature values ​​on the edge curve of the reference pattern of the book do not correspond to the curvature values ​​of the edge curve of the image area of ​​the book in number or value, and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern, it is determined that part of the surface area of ​​the book is occupied by the graffiti pattern; otherwise, it is determined that part of the surface area of ​​the book is not occupied by the graffiti pattern, thereby realizing intelligent judgment of whether the educated person has violated the regulations and graffitied to avoid education during the distance education process;

[0043] Important invention point C: The wireless communication interface is used to wirelessly send a manual monitoring request to the monitoring management server of the remote education client when it is intelligently determined that part of the surface area of ​​the book is occupied by graffiti patterns, so as to trigger a secondary confirmation of the existence of illegal graffiti behavior by the educated person during the remote education process.

[0044] The intelligent monitoring system for distance education of the present invention solves the technical problem in the prior art that it is difficult to accurately judge the graffiti behavior of distance education users during the distance education process. By adopting a targeted visual judgment mechanism, an intelligent judgment is made on whether the learners have engaged in illegal graffiti and uneducated behavior during the distance education process. When it is intelligently judged that part of the surface area of ​​the book is occupied by graffiti patterns, a manual monitoring request is wirelessly sent to the monitoring management server of the distance education client to trigger a secondary confirmation on whether the learners have engaged in illegal graffiti behavior during the distance education process, thereby improving the judgment accuracy of graffiti behavior.

[0045] It is to be understood that, although the present invention has been disclosed as a preferred embodiment, the above embodiment is not intended to limit the present invention. For any technician familiar with the art, without departing from the scope of the technical solution of the present invention, the technical content disclosed above can be used to make many possible changes and modifications to the technical solution of the present invention, or modified into equivalent embodiments of equivalent changes. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of protection of the technical solution of the present invention.

Claims

1. A remote education intelligent monitoring system, characterized in that: The system comprises: A desktop acquisition device is provided on a remote education client and is used to perform image data acquisition on a desktop environment corresponding to the client when the client is running, so as to obtain and output a corresponding directional acquisition image; A guided filtering device, arranged at the client and connected to the desktop acquisition device, is used to perform guided filtering processing on the received directional acquisition image to obtain and output a corresponding guided filtering image; An exponential enhancement device, connected to the guided filtering device, for performing an image content enhancement process based on an exponential transformation on the received guided filtering image to obtain and output a corresponding exponentially enhanced image; A directional sharpening device, connected to the exponential enhancement device, for sequentially performing horizontal direction sharpening processing and vertical direction sharpening processing on the received exponential enhancement image to obtain and output a corresponding directional sharpened image; a state identification device, arranged at the client and connected to the direction sharpening device, comprising a parameter extraction device, a collection processing device and an identification execution device, wherein the collection processing device is respectively connected to the parameter extraction device and the identification execution device, and the state identification device is used to obtain each curvature value on the edge curve of the reference pattern of the book, detect the image area of ​​the book based on the brightness value interval corresponding to the book in the received direction sharpened image, and obtain each curvature value of the edge curve of the image area, and when each curvature value on the edge curve of the reference pattern of the book does not correspond to each curvature value of the edge curve of the image area of ​​the book in quantity or value and the image area of ​​the book overlaps with the image area of ​​the graffiti pattern, it is judged that part of the surface area of ​​the book is occupied by the graffiti pattern, otherwise, it is judged that part of the surface area of ​​the book is not occupied by the graffiti pattern; The wireless communication interface is connected to the state identification device and is used to wirelessly send a manual monitoring request to the monitoring management server of the client when it is determined that a part of the surface area of ​​the book is occupied by graffiti patterns.

2. The remote education intelligent monitoring system according to claim 1, characterized in that: The wireless communication interface is also used to suspend the wireless transmission of the manual monitoring request to the monitoring management server of the client when it is determined that the surface area of ​​the book is not partially occupied by the graffiti pattern; Among them, the state identification device also includes an MCU control chip, which is connected to the parameter extraction device, the collective processing device and the identification execution device respectively, and is used to provide on-site configuration services of working parameters for the parameter extraction device, the collective processing device and the identification execution device respectively.

3. The remote education intelligent monitoring system according to claim 2, characterized in that: The system further comprises: A positioning server device, connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, respectively, for providing the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device with respective current instant positioning data; Among them, the positioning server is respectively connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, and is used to provide the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device with their respective current real-time positioning data, including: the positioning server includes a plurality of positioning service units, which are respectively connected to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device to complete the respective supply of the current real-time positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device.

4. The remote education intelligent monitoring system as claimed in claim 3, characterized in that: The positioning server device includes a plurality of positioning service units, which are used to respectively connect with the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device to complete the respective supply of current and real-time positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, including: the plurality of positioning service units are a plurality of positioning sensors, which are used to respectively connect with the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device to complete the respective supply of current and real-time positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device.

5. The remote education intelligent monitoring system as claimed in claim 4, characterized in that: The multiple positioning service units are multiple positioning sensors, which are used to connect to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively, so as to complete the respective supply of current instant positioning data of the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device, including: the structures of the multiple positioning service units are the same.

6. The remote education intelligent monitoring system according to claim 5, characterized in that: The multiple positioning service units are multiple positioning sensors, which are used to connect to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device respectively to complete the separate supply of current instant positioning data to the guide filtering device, the index enhancement device, the direction sharpening device and the state identification device. It also includes: the multiple positioning sensors have the same positioning range.

7. The remote education intelligent monitoring system according to any one of claims 3 to 6, characterized in that: The system further comprises: The user control interface is respectively connected to the multiple positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, and is used to synchronously control the current working mode of the respective positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device.

8. The remote education intelligent monitoring system according to claim 7, characterized in that: The user control interface is respectively connected to multiple positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, and is used to synchronously control the current working mode of the positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, including: the current working mode of the positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device is a sleep working mode or a running working mode.

9. The remote education intelligent monitoring system according to claim 7, characterized in that: A user control interface is respectively connected to the multiple positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, and is used to synchronously control the current working mode of the respective positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device, including: the multiple positioning service units of the guided filtering device, the exponential enhancement device, the direction sharpening device and the state identification device are all based on the Beidou positioning mechanism.

Citation Information

Patent Citations

  • Online education course sharing distribution method and platform based on block chain

    CN114913529A

  • Distance education identification degree detection system

    CN116563764A