A Remote Teaching Method Based on Intelligent Panoramic Screens

Abstract

This invention belongs to the field of distance education technology, and specifically relates to a distance teaching method based on an intelligent panoramic screen. A distance teaching method based on an intelligent panoramic screen includes at least the following steps: an identity recognition step, identifying the intruder and proceeding to the next step after identity verification; a pattern recognition step, recognizing the writing pattern; a content acquisition step, acquiring the written content; and a distribution step, distributing the written content to the student's end. This invention, based on an intelligent panoramic screen, improves the intelligence of writing methods through identity recognition, pattern recognition, and content recognition, thereby enhancing the teacher's teaching experience, freeing them from being confined to a single writing pattern, and improving teaching efficiency.

Description

Technical Field

[0001] This invention belongs to the field of distance education technology, and in particular relates to a distance teaching method based on an intelligent panoramic screen. Background Technology

[0002] With the development of digital technology and the needs of higher education courses, many schools have installed large-size LED indoor full-color surface-mount screens and spliced ​​LCD screens in classrooms to present more teaching content and facilitate teaching. However, while whiteboard writing is a common function in existing online classrooms, it is too monotonous. Teachers are limited to the functions of whiteboard writing itself, and each time they use it, they need to select the type of writing pen, without knowing the teacher's writing habits. This actually greatly limits the teacher's teaching and results in low teaching efficiency. Summary of the Invention

[0003] To address the shortcomings of existing technologies, the present invention aims to provide a remote teaching method based on an intelligent panoramic screen. The system automatically compares and identifies intrusion frames, and forms evidence videos through multiple multi-dimensional judgments, thus avoiding the omission of important clues.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A remote teaching method based on a smart panoramic screen includes at least the following steps:

[0006] The identity verification step involves identifying the intruder and proceeding to the next step after the identity is verified.

[0007] Pattern recognition steps include identifying writing patterns;

[0008] Content acquisition steps: Obtain the written content;

[0009] The steps involve distributing the written content to the students' devices.

[0010] As a preferred embodiment of this technical solution, the following step is included before the identity recognition step:

[0011] The intrusion detection step monitors the remote classroom environment in real time and compares it with a fixed frame. When an intrusion frame is detected, it determines whether an intruder exists. If an intruder is detected, the identity recognition step is executed; if no intruder is detected, the intrusion detection step is re-executed.

[0012] As a preferred embodiment of this technical solution, the intrusion determination step includes the following steps:

[0013] The initial frame establishment sub-step involves acquiring a static photo of the panoramic classroom and setting it as a fixed initial frame.

[0014] The comparison and judgment sub-step involves monitoring the panoramic classroom in real time through a camera, comparing the current frame with the fixed initial frame, and considering the presence of an intrusion frame when the current frame differs from the fixed initial frame, thus triggering the next step.

[0015] In the intrusion confirmation sub-step, it is determined whether the intrusion frame has disappeared within a preset time. If the intrusion frame is determined to be continuously present, it is considered that an intruder has been confirmed, and the identity recognition step is executed. If the intrusion frame is determined to be disappeared, the comparison judgment sub-step is executed again.

[0016] As a preferred embodiment of this technical solution, the identity recognition step includes at least the following steps:

[0017] The identity acquisition sub-step identifies the intruder and obtains the intruder's identity information;

[0018] The identity determination sub-step determines whether the identity information exists. If the identity information exists, the pattern recognition step is triggered; if the identity information does not exist, a new teacher ID is created based on the identity information.

[0019] As a preferred embodiment of this technical solution, the identity information includes facial feature information, body shape feature information, voice information, and handwriting font information.

[0020] As a preferred embodiment of this technical solution, the pattern recognition step includes at least:

[0021] The permission acquisition sub-step involves obtaining the corresponding writing permission based on the identity information.

[0022] The pattern query sub-step involves issuing a written pattern query.

[0023] The pattern acquisition sub-step retrieves the writing pattern selected by the current teacher ID.

[0024] As a preferred embodiment of this technical solution, the following step after obtaining the pattern also includes:

[0025] The permission judgment sub-step determines whether the teacher ID has permission for the writing mode based on the writing permissions. If the determination is not correct, a prompt to add a writing mode is made.

[0026] As a preferred embodiment of this technical solution, the mode query sub-step includes: retrieving the previous writing information of the classroom ID, and querying the writing mode used in the previous writing based on the previous writing information.

[0027] As a preferred embodiment of this technical solution, the method further includes the following steps after the content acquisition step and before the distribution step:

[0028] The writing stop judgment step involves real-time monitoring of the teacher and determining whether the writing behavior has stopped based on the facial feature information. If the writing behavior has stopped, the writing content is sent to the student's terminal.

[0029] The facial feature information includes face recognition information, facial expression information, and facial orientation information.

[0030] As a preferred embodiment of this technical solution, the writing stop determination step further includes:

[0031] The writing content recognition submodule determines whether the writing content belongs to the area-distributed content. If the writing content is determined to be area-distributed content, the writing content is distributed to the corresponding student terminal after the writing behavior stops, based on the facial feature information.

[0032] By implementing the above technical solution, the present invention has the following advantages:

[0033] 1. Based on the intelligent panoramic screen, the intelligence of writing methods is improved through identity recognition, pattern recognition, and content recognition, thereby enhancing the teaching experience of teachers, freeing them from being confined to a single writing mode and improving teaching efficiency.

[0034] 2. By providing identity suggestions, identity recognition, and empowering writing modes, intelligent writing is effectively enabled, while also providing teachers with multiple writing modes to enhance the teaching experience.

[0035] 3. By establishing a fixed initial frame, it can determine whether there is an intrusion, identify the presence of an intruder, and intelligently start the teaching session, reducing operation steps, improving convenience, and increasing teachers' teaching efficiency. Attached Figure Description

[0036] Figure 1 This is a block diagram of the method of the present invention;

[0037] Figure 2 This is a flowchart of the intrusion detection step in this invention.

[0038] Figure 3 This is a flowchart illustrating the logical judgment process of the identity recognition step and the pattern recognition step in this invention.

[0039] Figure 4 A spatial positioning camera layout diagram for the classroom;

[0040] Figure 5 A diagram showing the layout of the main cameras in the classroom;

[0041] Figure 6 This is a schematic diagram of the panoramic screen in the classroom. Detailed Implementation

[0042] The present invention will be further described below with reference to specific embodiments and experimental data. It should be understood that the embodiments of the present invention are only for illustrating the present invention and not for limiting the present invention. Various substitutions and modifications made based on ordinary technical knowledge and conventional means in the art without departing from the technical concept of the present invention should be included within the scope of the present invention.

[0043] Example 1:

[0044] like Figure 1 , Figure 4 , Figure 5 , Figure 6 As shown, a remote teaching method based on a smart panoramic screen includes at least the following steps:

[0045] The identity verification step involves identifying the intruder and proceeding to the next step after the identity is verified.

[0046] Pattern recognition steps include identifying writing patterns;

[0047] Content acquisition steps: Obtain the written content;

[0048] The steps involve distributing the written content to the students' devices.

[0049] When a teacher uses the system for the first time, their identity information (including facial features, body shape, voice, and handwriting style) is recorded. Subsequent uses will match the teacher's preferred writing style based on this information, as shown in Figure 4. A spatial positioning model is established using multiple cameras, allowing teachers to write teaching content anywhere on the screen according to their preferred style. Simultaneously, the teaching content is synchronized with students at a remote location in real time. This invention, based on an intelligent panoramic screen, enhances the intelligence of the writing style through identity recognition, pattern recognition, and content recognition, thereby improving the teacher's teaching experience and freeing them from being confined to a single writing mode, thus increasing teaching efficiency.

[0050] The identity verification step includes at least the following steps:

[0051] The identity acquisition sub-step identifies the intruder and obtains the intruder's identity information;

[0052] The identity determination sub-step determines whether the identity information exists. If the identity information exists, the pattern recognition step is triggered; if the identity information does not exist, a new teacher ID is created based on the identity information.

[0053] Specifically, when creating a teacher ID, writing mode permissions are assigned to determine the writing access of that teacher ID. These writing modes include voice input, gesture input, and handwriting input. Preferably, writing mode assignment is performed by submitting a request to add a writing mode, which is then confirmed by a higher-authority ID.

[0054] like Figure 3 As shown, the pattern recognition step includes at least:

[0055] The permission acquisition sub-step involves obtaining the corresponding writing permission based on the identity information.

[0056] The pattern query sub-step involves issuing a written pattern query.

[0057] The pattern acquisition sub-step retrieves the writing pattern selected by the current teacher ID.

[0058] The process following the pattern acquisition sub-step also includes:

[0059] The permission judgment sub-step determines whether the teacher ID has permission for the writing mode based on the writing permissions. If the determination is not correct, a prompt to add a writing mode is made.

[0060] The mode query sub-step includes: retrieving the previous writing information of the classroom ID, and querying the writing mode used in the previous writing based on the previous writing information.

[0061] Example 2

[0062] Based on Example 1, the difference from Example 1 is as follows:

[0063] like Figure 1 , Figure 2 , Figure 4 , Figure 5 As shown, the intrusion detection step uses multiple cameras for spatial positioning detection and three main cameras for monitoring the remote classroom environment and teachers in real time. By comparing the results with fixed frames, when an intrusion frame is detected, it is determined whether an intruder exists. If an intruder is detected, the identity recognition step is executed; if no intruder is detected, the intrusion detection step is re-executed.

[0064] The intrusion detection step includes the following steps:

[0065] The initial frame establishment sub-step involves acquiring a static photo of the panoramic classroom and setting it as a fixed initial frame.

[0066] The comparison and judgment sub-step involves monitoring the panoramic classroom in real time through a camera, comparing the current frame with the fixed initial frame, and considering the presence of an intrusion frame when the current frame differs from the fixed initial frame, thus triggering the next step.

[0067] Furthermore, there may be interference from environmental factors, such as the swaying of curtains in a classroom window causing the current frame of the current image to differ from the fixed initial frame. In this case, irrelevant variable parameters can be introduced. These irrelevant variable parameters are those that do not affect the judgment due to the dynamic changes in the area. That is, when the curtains are swaying, it will not be judged as an intrusion.

[0068] In addition, when an intrusion occurs, it is not necessarily an intruder. For example, if a kitten sneaks in, visual recognition will determine that it is not a human intruder and will not identify it as an intruder. However, it will be identified as an intrusion and an alarm will be triggered to prompt you to check the scene to prevent small animals from entering and damaging the equipment.

[0069] After confirming the intrusion, continue to monitor the panoramic classroom in real time through the camera to determine whether the intrusion frame disappears within a preset time. If the intrusion frame is found to be present throughout the preset time, it is considered that an intruder has been confirmed, and the identity recognition step is executed. If the intrusion frame is found to have disappeared within the preset time, the comparison and judgment sub-step is executed again.

[0070] The preset time is the time when the teacher is identified. There is a possibility that the teacher will go to the wrong teacher's classroom. If the teacher goes to the wrong teacher's classroom, the teacher will leave immediately, with a preset time of 5 seconds.

[0071] Example 3

[0072] Based on Example 1, the difference from Example 1 is as follows:

[0073] The process includes the following steps after the content acquisition step and before the content delivery step:

[0074] The writing stop judgment step involves real-time monitoring of the teacher and determining whether the writing behavior has stopped based on the facial feature information. If the writing behavior has stopped, the writing content is sent to the student's terminal.

[0075] The facial feature information includes face recognition information, facial expression information, and facial orientation information.

[0076] The writing stop determination step also includes:

[0077] The writing content recognition submodule determines whether the writing content belongs to the area-distributed content. If the writing content is determined to be area-distributed content, the writing content is distributed to the corresponding student terminal after the writing behavior stops, based on the facial feature information.

Claims

1. A remote teaching method based on an intelligent panoramic screen, characterized in that, At least the following steps are included: The identity verification step involves identifying the intruder and proceeding to the next step after the identity is verified. The pattern recognition step identifies writing patterns, including voice input mode, gesture input mode, and handwriting input mode. Content acquisition steps: Obtain the written content; The steps involve distributing the written content to the students' devices. The following steps are included prior to the identity verification step: The intrusion detection step monitors the remote classroom environment in real time. When an intrusion frame is detected, it determines whether an intruder exists. If an intruder exists, the identity verification step is executed; if no intruder exists, the intrusion detection step is re-executed. The intrusion detection step includes the following steps: The initial frame establishment sub-step involves acquiring a static photo of the panoramic classroom and setting it as a fixed initial frame. The comparison and judgment sub-step involves monitoring the panoramic classroom in real time through a camera, comparing the current frame with the fixed initial frame, and considering the presence of an intrusion frame when the current frame differs from the fixed initial frame, thus triggering the next step. In the intrusion confirmation sub-step, it is determined whether the intrusion frame has disappeared within a preset time. If the intrusion frame is determined to be continuously present, it is considered that an intruder has been confirmed, and the identity recognition step is executed. If the intrusion frame is determined to be disappeared, the comparison judgment sub-step is executed again. The identity verification step includes at least the following steps: The identity acquisition sub-step identifies the intruder and obtains the intruder's identity information; The identity verification sub-step determines whether the identity information exists. If the identity information exists, the pattern recognition step is triggered; if the identity information does not exist, a new teacher ID is created based on the identity information. The identity information includes facial feature information, body shape feature information, voice information, and handwriting font information; The pattern recognition step includes at least: The permission acquisition sub-step obtains the corresponding writing permission based on the identity information. The pattern query sub-step involves issuing a written pattern query. The pattern acquisition sub-step retrieves the writing pattern selected by the current teacher ID. The process includes the following steps after the content acquisition step and before the content delivery step: The writing stop judgment step involves real-time monitoring of the teacher and determining whether the writing behavior has stopped based on the facial feature information. If the writing behavior has stopped, the writing content is sent to the student's terminal. The facial feature information includes face recognition information, facial expression information, and facial orientation information.

2. The remote teaching method based on an intelligent panoramic screen according to claim 1, characterized in that, The process following the pattern acquisition sub-step also includes: The permission judgment sub-step determines whether the teacher ID has permission for the writing mode based on the writing permissions. If the determination is not correct, a prompt to add a writing mode is made.

3. The remote teaching method based on an intelligent panoramic screen according to claim 2, characterized in that, The mode query sub-step includes: retrieving the previous writing information of the teacher ID, and querying the writing mode used in the previous writing based on the previous writing information.

4. The remote teaching method based on an intelligent panoramic screen according to claim 1, characterized in that, The writing stop determination step also includes: The writing content recognition submodule determines whether the writing content belongs to the area-distributed content. If the writing content is determined to be area-distributed content, the writing content is distributed to the corresponding student terminal after the writing behavior stops, based on the facial feature information.

Images