Artificial intelligence analysis large screen system

Abstract

The invention is applicable to the technical field of interactive large screens, and provides an artificial intelligence analysis large screen system, which comprises a video acquisition module, an audio acquisition module, an analysis module, a control module and a server, the video acquisition module, the audio acquisition module and the control module are electrically connected with the analysis module, the audio acquisition module is electrically connected with the control module, and the server is electrically connected with the control module. The server is in network connection with the analysis module and the control module. According to the artificial intelligence analysis large screen system provided by the embodiment of the invention, lightweight data analysis can be performed on the collected video information and the second audio information, the analysis result can be fed back in real time, and the collected video information and the second audio information can be transmitted to the far-end server for deep analysis; the data provided by the control module is ensured to be more accurate, the problem that calculation power and real-time feedback are difficult to consider in the prior art is solved, and efficient analysis and rapid feedback can be achieved at the same time.

Description

Technical Field

[0001] This application belongs to the technical field of interactive large screens, and particularly relates to an artificial intelligence analysis large screen system. Background Art

[0002] In recent years, artificial intelligence technology has developed rapidly. Generative AI (Artificial Intelligence) led by ChatGPT (such as DeepSeek) has seen explosive growth. Enterprises with technical strength have followed up one after another, and many companies have successively set foot in this AI wave. In the education industry, some enterprises have launched AI education large models. Among them, some companies mainly use cloud AI analysis, which processes data by uploading it to a remote large server. Although in-depth analysis can be achieved, there is a delay in the feedback results and it is difficult for operators to grasp them in real time. Some companies, on the other hand, mainly rely on local AI analysis. Although immediate feedback can be provided, due to limited local computing resources, the analysis ability of the large model is insufficient and only simple applications can be supported. Therefore, the existing technical solutions are difficult to balance computing power and real-time feedback, and cannot meet the requirements of both efficient analysis and rapid feedback at the same time. Summary of the Invention

[0003] The embodiments of this application provide an artificial intelligence analysis large screen system, which can solve the problem that the existing technical solutions are difficult to balance computing power and real-time feedback and cannot meet the requirements of both efficient analysis and rapid feedback at the same time.

[0004] In a first aspect, the embodiments of this application provide an artificial intelligence analysis large screen system, including a video acquisition module, an audio acquisition module, an analysis module, a control module, and a server. The video acquisition module, the audio acquisition module, and the control module are all electrically connected to the analysis module. The audio acquisition module is electrically connected to the control module. The server is network-connected to the analysis module and the control module respectively; wherein, the electrical connection is a wired connection, and the network connection is a wireless connection;

[0005] The video acquisition module is used to acquire video information within a preset area and transmit the video information to the analysis module; the audio acquisition module is used to acquire first audio information within the preset area and output second audio information to the analysis module according to a control signal output by the control module; the analysis module is used to perform data analysis on the video information and the second audio information and output an analysis result to the control module, and the analysis module is also used to transmit the video information and the second audio information to a server through a network; the server is used to process the video information and the second audio information and output a processing result to the control module; the control module is used to output a first analysis report according to the analysis result and is also used to output a second analysis report according to the processing result.

[0006] In a possible implementation manner of the first aspect, the video acquisition module includes a plurality of video acquisition devices, and all the video acquisition devices are electrically connected to the analysis module. The plurality of video acquisition devices are respectively installed at preset positions so that the plurality of video acquisition devices can acquire video information within the preset area.

[0007] In a possible implementation manner of the first aspect, the audio acquisition module includes an audio acquisition unit and an audio processing unit. The audio processing unit is electrically connected to the audio acquisition unit, the analysis module, and the control module respectively;

[0008] The audio acquisition unit is used to acquire the first audio information and transmit the first audio information to the audio processing unit. The audio processing unit is used to output the second audio information to the analysis module according to a control signal output by the control module.

[0009] In a possible implementation manner of the first aspect, the audio acquisition unit includes a first microphone and a plurality of second microphones. The first microphone and all the second microphones are electrically connected to the audio processing unit.

[0010] In a possible implementation manner of the first aspect, the analysis module includes an analysis chip. A first input end of the analysis chip is electrically connected to the audio acquisition module, a second input end of the analysis chip is electrically connected to the video acquisition module, a first output end of the analysis chip is electrically connected to the control module, and a second output end of the analysis chip is network-connected to the server.

[0011] In a possible implementation manner of the first aspect, the control module includes a controller main board. The controller main board is electrically connected to the analysis module and the audio acquisition module respectively, and the controller main board is network-connected to the server.

[0012] In a possible implementation of the first aspect, the artificial intelligence analysis large screen system further includes an audio output module, which is electrically connected to the control module, and the audio output module is used to output target audio information.

[0013] In a possible implementation of the first aspect, the audio output module includes a speaker, and the speaker is electrically connected to the control module.

[0014] In a possible implementation of the first aspect, the artificial intelligence analysis large screen system further includes a display module, and the display module is electrically connected to the control module.

[0015] In a possible implementation of the first aspect, the artificial intelligence analysis large screen system further includes an interaction control module, and the interaction control module is electrically connected to the control module.

[0016] The beneficial effects of the embodiments of the present application compared with the prior art are as follows:

[0017] The artificial intelligence analysis large screen system provided by the embodiments of the present application includes a video capture module, an audio capture module, an analysis module, a control module, and a server. The video capture module, the audio capture module, and the control module are all electrically connected to the analysis module. The audio capture module is electrically connected to the control module. The server is respectively network-connected to the analysis module and the control module. Among them, the electrical connection is a wired connection, and the network connection is a wireless connection. The video capture module is used to capture video information in a preset area and transmit the video information to the analysis module. The audio capture module is used to capture first audio information in the preset area and output second audio information to the analysis module according to the control signal output by the control module. The analysis module is used to perform lightweight data analysis on the video information and the second audio information and provide real-time feedback of the analysis results to the control module. The control module performs real-time processing on the analysis results and generates a first analysis report. In addition, the analysis module is also used to transmit the video information and the second audio information to a remote server through the network. The server performs in-depth, multi-index, and multi-dimensional analysis on the video information and the second audio information, so that the control module generates a more detailed second analysis report to assist in teaching design. It can be seen that the artificial intelligence analysis large screen system provided by the embodiments of the present application can not only perform lightweight data analysis on the captured video information and second audio information and provide real-time feedback of the analysis results, but also transmit the captured video information and second audio information to a remote server for in-depth analysis, ensuring that the data provided by the control module is more accurate, solving the problem that it is difficult to balance computing power and real-time feedback in the prior art solutions, and being able to achieve both efficient analysis and fast feedback at the same time. Description of the Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for use in the embodiments or the description of the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 is the principle block diagram of an artificial intelligence analysis large screen system provided by an embodiment of the present application;

[0020] Figure 2 is the schematic diagram of the implementation manner of an artificial intelligence analysis large screen system provided by an embodiment of the present application;

[0021] Figure 3 is the schematic diagram of the application environment of an artificial intelligence analysis large screen system provided by an embodiment of the present application;

[0022] Figure 4 is the schematic diagram of audio and video communication provided by an embodiment of the present application;

[0023] Figure 5 is the principle block diagram of an artificial intelligence analysis large screen system provided by another embodiment of the present application.

[0024] In the figure: 101, video acquisition module; 102, audio acquisition module; 103, analysis module; 104, control module; 105, server; 106, audio output module; 107, display module; 108, interactive control module; 109, network module; 110, power module. Detailed implementation manners

[0025] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0026] It should be understood that when used in the specification and the appended claims of the present application, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0027] As used in the specification of this application and the appended claims, the term "if" can be construed contextually as "when" or "once" or "in response to determining" or "in response to detecting". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" can be construed contextually to mean "once determined" or "in response to determining" or "once [the described condition or event] is detected" or "in response to detecting [the described condition or event]".

[0028] In addition, in the description of the specification of this application and the appended claims, the terms "first", "second", "third", etc. are used only for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0029] Reference to "one embodiment" or "some embodiments" or the like described in the specification of this application means that a particular feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of this application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized.

[0030] Some enterprises have launched AI education large models. Among them, some companies mainly adopt cloud AI analysis, which processes data by uploading it to a remote large server. Although in-depth analysis can be achieved, there is a delay in the feedback results, making it difficult for operators to grasp them in real time. Some companies, on the other hand, mainly rely on local AI analysis. Although immediate feedback can be provided, due to limited local computing resources, the analysis ability of the large model is insufficient and can only support simple applications. Therefore, the existing technical solutions are difficult to balance computing power and real-time feedback and cannot meet the requirements of both efficient analysis and fast feedback at the same time.

[0031] Based on the above problems, the artificial intelligence analysis large screen system provided by the embodiments of the present application includes a video acquisition module, an audio acquisition module, an analysis module, a control module, and a server. The video acquisition module, the audio acquisition module, and the control module are all electrically connected to the analysis module. The audio acquisition module is electrically connected to the control module. The server is respectively network-connected to the analysis module and the control module. Among them, the electrical connection is a wired connection, and the network connection is a wireless connection. The video acquisition module is used to acquire video information within a preset area and transmit the video information to the analysis module. The audio acquisition module is used to acquire first audio information within the preset area and output second audio information to the analysis module according to the control signal output by the control module. The analysis module is used to perform lightweight data analysis on the video information and the second audio information and provide real-time feedback of the analysis results to the control module. The control module performs real-time processing on the analysis results and generates a first analysis report. In addition, the analysis module is also used to transmit the video information and the second audio information to a remote server through the network. The server performs in-depth, multi-index, and multi-dimensional analysis on the video information and the second audio information, so that the control module generates a more detailed second analysis report, thereby assisting in teaching design. It can be seen that the artificial intelligence analysis large screen system provided by the embodiments of the present application can not only perform lightweight data analysis on the acquired video information and the second audio information and provide real-time feedback of the analysis results, but also transmit the acquired video information and the second audio information to a remote server for in-depth analysis, ensuring that the data provided by the control module is more accurate, solving the problem that it is difficult to balance computing power and real-time feedback in the existing technical solutions, and being able to achieve both efficient analysis and rapid feedback at the same time.

[0032] To illustrate the technical solutions described in the present application, the following will be described through specific embodiments.

[0033] Figure 1 The principle block diagram of the artificial intelligence analysis large screen system provided by an embodiment of the present application is shown. Refer to Figure 1 As shown, the artificial intelligence analysis large screen system includes a video acquisition module 101, an audio acquisition module 102, an analysis module 103, a control module 104, and a server 105. The video acquisition module 101, the audio acquisition module 102, and the control module 104 are all electrically connected to the analysis module 103. The audio acquisition module 102 is electrically connected to the control module 104. The server 105 is respectively network-connected to the analysis module 103 and the control module 104. Among them, the electrical connection is a wired connection, and the network connection is a wireless connection.

[0034] Specifically, the video acquisition module 101 is used to acquire video information within a preset area and transmit the video information to the analysis module 103. The audio acquisition module 102 is used to acquire first audio information within the preset area and output second audio information to the analysis module 103 according to the control signal output by the control module 104. The analysis module 103 is used to perform lightweight data analysis on the video information and the second audio information and provide real-time feedback of the analysis results to the control module 104. The control module 104 processes the analysis results in real time and generates a first analysis report. In addition, the analysis module 103 is also used to transmit the video information and the second audio information to a remote server 105 through a network. The server 105 performs in-depth, multi-index, and multi-dimensional analysis on the video information and the second audio information, so that the control module 104 generates a more detailed second analysis report to assist in teaching design. Among them, the first analysis report and the second analysis report can be displayed side by side (side by side horizontally or vertically) (such as displayed in an interactive chart or a comparison chart) on the AI large screen to ensure that teachers or researchers can view or compare the real-time feedback of lightweight analysis and the detailed report of in-depth analysis at the same time, so as to comprehensively understand the classroom situation and conduct more in-depth teaching research and evaluation. The first analysis report and the second analysis report can also only display one of them, and the two can be switched in real time (switched by buttons or gestures). If a teacher needs a simple interface during the teaching process to only display the most important real-time feedback and reduce interference, the first analysis report can be displayed at this time. If a teacher needs to focus on a specific analysis report, for example, when making classroom adjustments, only view the in-depth second analysis report. It can be seen that the artificial intelligence analysis large screen system provided by the embodiment of the present application can not only perform lightweight data analysis on the acquired video information and second audio information and provide real-time feedback of the analysis results, but also transmit the acquired video information and second audio information to the remote server 105 for in-depth analysis, ensuring that the data provided by the control module 104 is more accurate, solving the problem that it is difficult to balance computing power and real-time feedback in the prior art solution, and being able to achieve efficient analysis and rapid feedback at the same time.

[0035] It should be noted that the analysis module 103 and the server 105 can adopt the RTSP (Real-Time Streaming Protocol) network protocol to realize the network connection between the analysis module 103 and the server 105. The server 105 can be an edge server or a remote large AI server.

[0036] It should be noted that the analysis module 103 can be integrated inside the AI large screen, which can provide an integrated solution, reduce the dependence on external devices, and simplify system deployment. At the same time, integrating the analysis module 103 inside the AI large screen can reduce the latency of data transmission and improve the efficiency of real-time analysis. In addition, the analysis module 103 can also be set outside the AI large screen, which can be seamlessly docked with existing large screen devices on the market, improving the applicability and flexibility of the system. Moreover, the external independent analysis module 103 can be upgraded and expanded as needed to adapt to different computing requirements.

[0037] It should be noted that lightweight data analysis can be understood as lightweight computing power model analysis, that is, in an environment with limited computing resources, video information and second audio information are processed quickly, efficiently, and simply to extract key information and insights. This process can minimize the consumption of computing resources while ensuring the analysis effect and providing real-time feedback. The first analysis report generated by the control module 104 during this process can include the attention status of students, the mastery of the same knowledge points by each student, the effectiveness of teacher-student interaction and interaction quality assessment, the speaking speed of the teacher during the lecture, etc. The remote server 105 conducts in-depth large model analysis. The second analysis report provided by the control module 104 during this process, which includes multiple dimensions and multiple indicators of the classroom, can include the impact of student behavior on classroom effects, personalized learning path and resource recommendations based on the individual differences of students, the assessment of the use of teaching resources and resource allocation, etc. Thus, the artificial intelligence analysis large screen system provided by this application can perform lightweight computing power model analysis on the edge side, provide real-time feedback on concise AI analysis results, and can also use the remote server 105 to conduct in-depth large model analysis to assist in teaching design.

[0038] It should be noted that the above artificial intelligence analysis large screen system can be applied to the teaching classroom to assist teaching. At this time, the preset area is the entire classroom area, including the podium, student seating areas, aisles between desks, etc. Among them, the video information collected by the video capture module 101 can be the picture of the teacher teaching on the podium, such as writing on the blackboard or PPT presentation, or the interactive picture of students in the classroom, such as asking questions or discussing, or the panoramic picture of the entire classroom, including the location distribution of teachers and students, the actions, clothing, expressions of teachers and students, and the interaction between teachers and students. The first audio information collected by the audio capture module 102 can be the teacher's explanations, questions, guidance, etc. on the podium, or the students' answers, questions, discussions, etc. in the classroom, or environmental sounds, such as the sound of turning pages or walking. By collecting multiple videos and multiple audios in the classroom, the artificial intelligence analysis large screen system can provide comprehensive support for the teaching classroom and generate a more comprehensive analysis report, improving teaching quality and efficiency.

[0039] Exemplarily, it is possible to determine whether students understand the teacher's explanation by observing the students' expressions and actions. Specifically, whether the students' eyes are focused on the teacher or the teaching content indicates whether they are listening attentively; whether the students' facial expressions are relaxed, and whether there are expressions of doubt or confusion. For example, frowning and confused looks may indicate that students do not understand the knowledge taught by the teacher. When students understand a certain knowledge point, they may smile or nod, indicating that they have understood. Whether the students sit upright and whether their bodies lean forward indicates whether they are listening attentively. Whether the students take notes and whether they have frequent small movements (such as playing with a pen, touching their hair), all of which may reflect their attention state. The artificial intelligence analysis large screen system determines whether students understand the teacher's explanation by obtaining the students' expressions and actions, thereby helping the teacher adjust teaching strategies in a timely manner to ensure that every student can keep up with the teaching progress.

[0040] In one embodiment of the present application, the video acquisition module 101 includes multiple video acquisition devices, and all video acquisition devices are electrically connected to the analysis module 103. The multiple video acquisition devices are respectively installed at preset positions so that the multiple video acquisition devices can acquire image information within a preset area.

[0041] Specifically, if the artificial intelligence analysis large screen system is applied in a classroom, the multiple video acquisition devices can be evenly installed around the classroom. The video acquisition devices can capture video images in the classroom, including the teacher, students, blackboard, projection screen, etc. The multiple video acquisition devices can capture different images from different angles to ensure full coverage of all corners of the classroom, providing high-quality video information for the analysis module 103 so that the analysis module 103 can perform accurate lightweight data analysis. In addition, the analysis module 103 transmits the multiple images captured by the multiple video acquisition devices to relevant personnel in the remote background through the network. If there are abnormal events (unusual noises / crying sounds), the relevant personnel can be informed and deal with them in a timely manner. It is also possible to achieve real-time monitoring of the classroom by installing multiple video acquisition devices, enabling relevant personnel to view the classroom situation through the network.

[0042] Exemplarily, in order to achieve the acquisition of full-scene images in the classroom, 1 main camera, 3 sub-cameras, and external POE cameras can be set, as Figure 2 shown. If a four-camera solution is adopted, 1 large screen main camera, 1 main camera for AI analysis, and 2 sub-cameras can be selected for splicing images, or 1 large screen main camera and 3 sub-cameras for AI analysis can be selected for splicing images. Among them, the POE camera can be installed on the ceiling of the classroom, as Figure 3 shown, and other cameras can be set at the center of the classroom ceiling, near the podium, in the student seating area, or above the blackboard according to requirements, or the installation positions of each video acquisition device can be adaptively adjusted according to different needs.

[0043] In one embodiment of the present application, the audio acquisition module 102 includes an audio acquisition unit and an audio processing unit. The audio processing unit is electrically connected to the audio acquisition unit, the analysis module 103, and the control module 104 respectively.

[0044] Specifically, the audio acquisition unit is used to acquire the first audio information within a preset area and transmit the first audio information to the audio processing unit. After receiving the first audio information, the audio processing unit performs 3A processing on it according to the control signal output by the control module 104. The 3A processing includes AEC (Acoustic Echo Cancellation), AGC (Automatic Gain Control), and ANS (Automatic Noise Suppression). The audio processing unit transmits the second audio information obtained after 3A processing and simple audio analysis (simple audio analysis generally includes energy analysis, spectrum analysis, signal-to-noise ratio evaluation, etc.) of the audio signal to the analysis module 103. Specifically, the control module 104 can send a control signal representing the echo path estimation parameter and the echo suppression factor to the audio processing unit, so that the audio processing unit adjusts the intensity of echo suppression of the first audio information. The control module 104 can also send a control signal representing the set gain value or gain range to the audio processing unit, and the audio processing unit adjusts the gain of the first audio information according to the parsed gain setting to ensure that the audio information will not be distorted during transmission and processing and can adapt to different ambient noise levels. In addition, the control module 104 can also send a control signal representing the noise suppression intensity to the audio processing unit, and the audio processing unit suppresses the noise in the first audio information according to the parsed noise suppression intensity. After the audio processing unit performs the above echo cancellation, gain adjustment, and noise suppression processing on the received first audio information according to the corresponding control signal, second audio information with higher audio quality can be obtained.

[0045] Exemplarily, the audio processing unit includes an audio processing chip. Figure 2 The shown audio board is used to perform the above 3A processing and simple audio analysis on the first audio information according to the control signal output by the control module 104 to obtain the second audio information. The model of the audio processing chip can be selected as RK3308, and the MCU is Guoxin 8008C.

[0046] In one embodiment of the present application, the audio acquisition unit includes a first microphone and a plurality of second microphones. The first microphone and all the second microphones are electrically connected to the audio processing unit.

[0047] Specifically, both the first microphone and the second microphone are used to collect the first audio information. The first microphone can be set inside the AI large screen, such as Figure 2 the built-in microphone shown, which is used to collect the ambient sound in the classroom and assist in speech recognition. The second microphone can be set on the ceiling, such as Figure 2 the ceiling microphone shown, which is used to collect the teacher's lecture sound, students' interactive sounds, and directional sound pickup. The second microphone can also be clipped on the teacher's clothes, such as Figure 2 the wireless microphone shown, which is used for close-range sound pickup and mobile sound pickup. The installation positions of the ceiling microphone (ceiling mic) and the wireless microphone (lapel mic) used in the classroom for collecting the first audio information can be referred to Figure 3 as shown

[0048] It should be noted that the audio-video communication schematic diagram is as shown in Figure 4 wherein, the audio board is used to process the first audio information collected by multiple microphones to obtain the second audio information. The lightweight AI camera board is used to receive video information, perform lightweight data analysis on the video information and the second audio information, and is also used to transmit the video information and the second audio information to the server 105 through RTSP network communication Figure 4 Other parts (such as interfaces, switches, etc.) in

[0049] In an embodiment of the present application, the analysis module 103 includes an analysis chip. The first input end of the analysis chip is electrically connected to the audio acquisition module 102, the second input end of the analysis chip is electrically connected to the video acquisition module 101, the first output end of the analysis chip is electrically connected to the control module 104, and the second output end of the analysis chip is network-connected to the server 105

[0050] Specifically, the analysis chip can perform lightweight computing model analysis on the received video information and the second audio information, and provide real-time feedback of the AI analysis results to the control module 104. At the same time, the analysis chip can access the network and transmit the collected video information and the second audio information to the remote server 105 through the network, so that the server 105 can perform in-depth large model analysis on them and output a more accurate analysis report. In addition, after receiving the video information and the second audio information, the server 105 can be connected to the background through the network, enabling relevant personnel in the background to monitor the situation of teachers and students in the classroom and the classroom situation in real time, ensuring that relevant personnel can handle abnormal events in a timely manner

[0051] Exemplarily, the model of the analysis chip can be selected as Hisilicon 3403 or Ascend 310B, etc

[0052] In an embodiment of the present application, as shown in Figure 2As shown, the control module 104 includes a controller mainboard, which is electrically connected to the analysis module 103 and the audio acquisition module 102 respectively, and the controller mainboard is network-connected to the server 105.

[0053] Specifically, the controller mainboard is the core component of the computer system, integrating various hardware and interfaces, and is responsible for coordinating and managing various parts of the computer. The Android operating system (Android OS) runs on the controller mainboard for Android system application processing. The controller mainboard can store the analysis results real-time feedback by the analysis module 103 for subsequent query and analysis. The controller mainboard can also make intelligent decisions based on the analysis results, such as adjusting teaching content, optimizing classroom management, etc.

[0054] It should be noted that, as Figure 2 shown, the controller mainboard is also connected to OPS (Open Pluggable Specification), and Windows operating system runs on OPS. OPS (or an external PC) performs Windows system application processing.

[0055] In an embodiment of the present application, as Figure 5 shown, the artificial intelligence analysis large screen system further includes an audio output module 106, which is electrically connected to the control module 104, and the audio output module 106 is used to output target audio information.

[0056] Specifically, the audio output module 106 can output target audio information, such as the teacher's lecture audio, the sound in the teaching video, or background music, etc., so that students can clearly hear the teaching content. The target audio information can also be the real-time analysis results feedback by the analysis module 103, such as audio information about students' participation and classroom discipline, etc., which is convenient for teachers and students to understand the current situation. In addition, the audio output module 106 can also output an alarm sound for indicating abnormal situations to remind teachers and students to pay attention.

[0057] In an embodiment of the present application, as Figure 2 shown, the audio output module 106 includes a speaker, and the speaker is electrically connected to the control module 104.

[0058] Specifically, the speaker is used to play the target audio information. In addition, the speaker can also support multi-channel audio playback, providing a stereo effect and enhancing the immersion and realism of the audio. Therefore, the speaker can not only ensure the clear transmission of teaching content, but also support real-time feedback, interactive communication, and multimedia teaching, thereby improving the teaching quality and classroom management efficiency.

[0059] In an embodiment of the present application, as Figure 5As shown in the figure, the artificial intelligence analysis large screen system further includes a display module 107, and the display module 107 is electrically connected to the control module 104.

[0060] Specifically, the display module 107 (AI display screen) is used to display various APP applications. By using the relevant APP applications, relevant personnel can view the analysis data of the AI. In addition, the display module 107 is also used to display multimedia content, notifications and announcements, and interactive interfaces, etc.

[0061] In an embodiment of the present application, as Figure 5 shown in the figure, the artificial intelligence analysis large screen system further includes an interaction control module 108, and the interaction control module 108 is electrically connected to the control module 104.

[0062] Specifically, the interaction control module 108 is used to manage the display content on the AI large screen and process the operations performed by the user through the touch screen, such as touch clicks, swipes, etc., to achieve interaction with the system. The interaction control module 108 can also adjust the volume in the classroom according to the analysis results or user operations to ensure the clarity of audio information, or adjust the brightness and color temperature of the lights in the classroom to optimize the teaching environment.

[0063] In an embodiment of the present application, as Figure 5 shown in the figure, the artificial intelligence analysis large screen system further includes a network module 109 and a power supply module 110. The power supply module 110 is electrically connected to the control module 104, and the control module 104 and the server 105 are connected through the network module 109.

[0064] Specifically, the network module 109 is used to provide a network so that the server 105 and the control module 104 can be connected through the network, and it can also ensure the network connection between the server 105 and the background. The power supply module 110 is used to provide alternating current for the controller main board to ensure the normal operation of the system.

[0065] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. An artificial intelligence analysis large screen system, characterized in that: It includes a video acquisition module, an audio acquisition module, an analysis module, a control module and a server, wherein the video acquisition module, the audio acquisition module and the control module are all electrically connected to the analysis module, the audio acquisition module is electrically connected to the control module, and the server is respectively connected to the analysis module and the control module through a network; wherein the electrical connection is a wired connection, and the network connection is a wireless connection; The video acquisition module is used to collect video information within a preset area and transmit the video information to the analysis module; the audio acquisition module is used to collect first audio information within a preset area, and output second audio information to the analysis module according to the control signal output by the control module; the analysis module is used to perform data analysis on the video information and the second audio information, and output the analysis result to the control module, and the analysis module is also used to transmit the video information and the second audio information to a server via a network; the server is used to process the video information and the second audio information, and output the processing result to the control module; the control module is used to output a first analysis report according to the analysis result, and is also used to output a second analysis report according to the processing result.

2. The artificial intelligence analysis large screen system according to claim 1 is characterized in that: The video acquisition module includes a plurality of video acquisition devices, all of which are electrically connected to the analysis module, and the plurality of video acquisition devices are respectively installed at preset positions so that the plurality of video acquisition devices can acquire video information within a preset area.

3. The artificial intelligence analysis large screen system according to claim 1 is characterized in that: The audio acquisition module includes an audio acquisition unit and an audio processing unit, and the audio processing unit is electrically connected to the audio acquisition unit, the analysis module and the control module respectively; The audio acquisition unit is used to acquire the first audio information and transmit the first audio information to the audio processing unit. The audio processing unit is used to output the second audio information to the analysis module according to the control signal output by the control module.

4. The artificial intelligence analysis large screen system according to claim 3 is characterized in that: The audio collection unit includes a first microphone and a plurality of second microphones, and the first microphone and all the second microphones are electrically connected to the audio processing unit.

5. The artificial intelligence analysis large screen system according to claim 1 is characterized in that: The analysis module includes an analysis chip, a first input end of the analysis chip is electrically connected to the audio acquisition module, a second input end of the analysis chip is electrically connected to the video acquisition module, a first output end of the analysis chip is electrically connected to the control module, and a second output end of the analysis chip is connected to the server network.

6. The artificial intelligence analysis large screen system according to claim 1 is characterized in that: The control module comprises a controller mainboard, the controller mainboard is electrically connected to the analysis module and the audio acquisition module respectively, and the controller mainboard is connected to the server network.

7. The artificial intelligence analysis large screen system according to any one of claims 1 to 6, characterized in that: The artificial intelligence analysis large-screen system also includes an audio output module, which is electrically connected to the control module and is used to output target audio information.

8. The artificial intelligence analysis large screen system according to claim 7 is characterized in that: The audio output module includes a speaker, and the speaker is electrically connected to the control module.

9. The artificial intelligence analysis large screen system according to any one of claims 1 to 6, characterized in that: The artificial intelligence analysis large-screen system also includes a display module, and the display module is electrically connected to the control module.

10. The artificial intelligence analysis large screen system according to any one of claims 1 to 6, characterized in that: The artificial intelligence analysis large-screen system also includes an interactive control module, which is electrically connected to the control module.

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