Intelligent teaching auxiliary system based on artificial intelligence

Abstract

The invention discloses an intelligent teaching auxiliary system based on artificial intelligence, which comprises a video acquisition module, a video preprocessing module, an image feature extraction module and an AI analysis module, and is characterized in that the video acquisition module is used for shooting and acquiring class state video data of students in a classroom in real time, and the video preprocessing module is connected with the video acquisition module; the image enhancement module is used for carrying out frame-by-frame denoising processing and image enhancement on the collected video data so as to improve the video quality; the image feature extraction module is used for receiving the preprocessed video frame. According to the intelligent teaching auxiliary system based on artificial intelligence provided by the invention, real-time and accurate monitoring and analysis of classroom performance of students are realized through integrated intelligent image processing and AI analysis technologies, and a basis for personalized teaching adjustment can be provided for teachers without manual intervention; therefore, the teaching efficiency and the learning effect of students are effectively improved, meanwhile, the labor cost is remarkably reduced, and the analysis speed is increased.

Description

Technical Field

[0001] The present invention relates to the field of teaching technology, and in particular to an intelligent teaching auxiliary system based on artificial intelligence. Background Art

[0002] Artificial intelligence is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. As a branch of computer science, it aims to produce intelligent machines that can respond in a similar way to human intelligence.

[0003] Currently, artificial intelligence is widely used in fields such as natural language processing, image recognition and education.

[0004] For example, a teaching auxiliary system disclosed in a Chinese patent with announcement number CN214428108U includes a guide rail, a camera device, a central box, and a display device. The guide rail is installed on a preset installation surface; the camera device is installed on the guide rail, and the camera device can slide to a preset position relative to the guide rail, and the camera device is used to collect image information; the central box includes a box body and a circuit board, the circuit board is accommodated in the box body, and the circuit board is connected to the camera device; the display device is connected to the circuit board. Through the above structure, the camera device can be moved on the guide rail to change its installation position, and then image information can be collected at different positions, which is more convenient to use.

[0005] However, the above teaching auxiliary system has the following defects when it is actually used:

[0006] First, it is necessary to analyze the students’ behavior through educational experts, which not only consumes a lot of manpower but also has low efficiency;

[0007] Second, the above-mentioned teaching auxiliary system is not equipped with corresponding redundant shooting lenses. When the camera is damaged, it cannot be used, thereby affecting the continuity of data collection.

[0008] Therefore, an intelligent teaching assistance system based on artificial intelligence is proposed. Summary of the invention

[0009] The object of the present invention is to provide an intelligent teaching assistance system based on artificial intelligence, so as to solve or at least alleviate one or more of the above-mentioned problems and other problems existing in the prior art.

[0010] To achieve the above object, the present invention provides the following technical solution: an intelligent teaching auxiliary system based on artificial intelligence, comprising:

[0011] The video acquisition module is used to capture and collect video data of students in the classroom in real time;

[0012] A video preprocessing module, connected to the video acquisition module, for performing frame-by-frame denoising and image enhancement on the acquired video data to improve the video quality;

[0013] An image feature extraction module receives the preprocessed video frames and extracts key image features of the students therefrom, including but not limited to face recognition information, body posture recognition data, and facial expression recognition results;

[0014] The AI ​​analysis module is connected to the image feature extraction module, performs in-depth behavior analysis based on the extracted image features, evaluates students' learning status, concentration and class participation, and automatically generates a detailed evaluation report.

[0015] In an intelligent teaching auxiliary system based on artificial intelligence according to the present invention, optionally, the video acquisition module includes:

[0016] Cameras, wherein two cameras are provided, one of which is provided as a redundant setting;

[0017] A track, the track being mounted on a ceiling of the classroom;

[0018] A walking mechanism, the walking mechanism is used to drive the two cameras to move along the track;

[0019] A rotating mechanism, the rotating mechanism is used to drive the two cameras to rotate horizontally, and the rotating mechanism is arranged at the lower end of the walking mechanism;

[0020] A pitch angle adjustment mechanism, the pitch angle adjustment mechanism is used to drive the two cameras to adjust the pitch angle, and the pitch angle adjustment mechanism is arranged at the lower end of the rotating mechanism;

[0021] A second shell, the second shell is used to install the two cameras, and the second shell is installed at the lower end of the pitch angle adjustment mechanism;

[0022] A replacement mechanism is used to replace the damaged camera with another camera to work when the running camera is damaged. The replacement mechanism is installed inside the second shell.

[0023] In an intelligent teaching auxiliary system based on artificial intelligence according to the present invention, optionally, the walking mechanism includes a first shell, a slider is fixedly connected to the top of the first shell, the slider is slidably engaged on the track, a first rack is fixedly connected to one side of the track, a walking motor is fixedly installed inside the first shell, a first gear is fixedly connected to the upper end of the rotating shaft of the walking motor, and the first gear is meshed with the first rack;

[0024] The rotating mechanism includes a rotating motor and a transmission shaft, the upper end of the transmission shaft is rotatably connected to the inside of the first housing through a bearing, the top of the transmission shaft is fixedly connected to a second bevel gear, the rotating shaft of the rotating motor is fixedly connected to a first bevel gear, and the first bevel gear is meshed with the second bevel gear;

[0025] The pitch angle adjustment mechanism comprises an inverted U-shaped frame, the inverted U-shaped frame is fixedly connected to the bottom of the transmission shaft, the second housing is rotatably connected to the inner side of the inverted U-shaped frame, one side of the inverted U-shaped frame is fixedly connected to an angle adjustment motor, and the rotating shaft of the angle adjustment motor is fixedly connected to one side of the second housing;

[0026] The alternating mechanism comprises a replacement motor and two second racks, wherein the replacement motor is fixedly mounted inside the second housing, and the two second racks are slidably mounted inside the second housing, and a second gear is fixedly connected to the rotating shaft of the replacement motor, and the second gear is meshed with the two second racks, and a mounting seat is fixedly connected to the bottom of the two second racks, and the two cameras are respectively mounted on the corresponding mounting seats, and a through hole is provided at the bottom of the second housing for the camera to extend from the inside of the second housing;

[0027] A control circuit board is fixedly installed inside the second shell, and the travel motor, the rotating motor, the angle adjustment motor and the replacement motor are all controlled by the control circuit board.

[0028] In an intelligent teaching auxiliary system based on artificial intelligence according to the present invention, optionally, a petal-shaped dust cover is fixedly sleeved inside the through hole.

[0029] In an intelligent teaching assistance system based on artificial intelligence according to the present invention, optionally, a limiting block is fixedly connected to the inside of the second shell, a sliding groove is opened on one side of the second rack, and the limiting block is slidably arranged inside the sliding groove away from the side of the second shell.

[0030] In an intelligent teaching auxiliary system based on artificial intelligence according to the present invention, optionally, the camera is detachably mounted on the mounting seat through a disassembly and assembly mechanism, the disassembly and assembly mechanism comprising a mounting slot and a mounting block, the bottom of the mounting block is fixedly connected to the top of the camera, the top of the mounting block is provided with a slot, the lower end of the mounting block is provided with a limiting through slot connected to the slot, the inner diameter of the slot is smaller than the inner diameter of the limiting through slot, the mounting seat is provided with a transverse groove, the transverse groove runs through the mounting groove, the interior of the transverse groove is fixedly connected with a cross bar, a sleeve is slidably sleeved on the cross bar, the outer wall of the sleeve is in sliding contact with the inner wall of the transverse groove, one end of the cross bar is fixedly connected with a stopper, the cross bar is sleeved with a spring, one end of the spring abuts against one side of the stopper, the other end of the spring abuts against the inner wall of the sleeve at one end away from the stopper, and a pull ring is installed at one end of the sleeve;

[0031] When installing the camera, pull the pull ring to pull one end of the sleeve out of the transverse groove, and then insert the upper end of the mounting block into the mounting groove. As the mounting block continues to move upward, the cross bar can enter the limiting through groove from the slot, and then release the pull ring. At this time, the sleeve re-enters the transverse groove under the elastic force of the spring, and at the same time, the sleeve is inserted into the limiting through groove to fix the mounting block in the mounting groove.

[0032] In an intelligent teaching auxiliary system based on artificial intelligence according to the present invention, optionally, a positioning groove is provided at the bottom of the mounting seat, and a positioning block is fixedly connected to the lower end of the mounting block, and the positioning block can be inserted into the positioning groove.

[0033] In an intelligent teaching assistance system based on artificial intelligence according to the present invention, optionally, a limit switch is fixedly installed on the inner top of the second shell, and the signal output end of the limit switch is electrically connected to the signal input end of the control circuit board. When the top of the second rack contacts the limit switch, the limit switch sends a signal to the control circuit board, and the control circuit board controls the replacement motor to stop rotating.

[0034] In an intelligent teaching assistance system based on artificial intelligence according to the present invention, optionally, a nozzle is fixedly installed at the bottom of the mounting seat, the air outlet of the nozzle is facing the lens glass plate of the camera, and a fan is fixedly installed inside the second shell, and the outlet of the fan is connected to the air inlet of the nozzle through a connecting hose.

[0035] In an intelligent teaching assistance system based on artificial intelligence according to the present invention, optionally, the air outlet of the fan is connected to a heating box, an electric heating wire is installed inside the heating box, a three-way solenoid valve is installed at the air outlet of the heating box, and the connecting hose connected to the air inlet of the nozzle is installed on both interfaces of the three-way solenoid valve.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The intelligent teaching assistance system based on artificial intelligence provided by the present invention realizes real-time and accurate monitoring and analysis of students' classroom performance through integrated intelligent image processing and AI analysis technology, and can provide teachers with a basis for personalized teaching adjustment without manual intervention, thereby effectively improving teaching efficiency and students' learning outcomes, while significantly reducing labor costs and speeding up analysis.

[0038] The video acquisition module is designed with a movable, rotatable and pitch-adjustable camera, which can shoot at any position in the classroom. With the replacement mechanism, it realizes seamless switching when the camera fails, ensuring the continuity and stability of teaching monitoring.

[0039] The disassembly and assembly mechanism is set up to effectively improve the disassembly and assembly efficiency of the camera, so as to facilitate the subsequent maintenance and repair. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a structural schematic diagram of an intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0041] Figure 2 It is a structural schematic diagram of another perspective of the intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0042] Figure 3 This is one of the partial cross-sectional structural schematic diagrams of the intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0043] Figure 4 The second schematic diagram of the partial cross-section structure of the intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0044] Figure 5 It is a structural schematic diagram of a local explosion in the intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0045] Figure 6 It is a partial structural diagram of the intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0046] Figure 7 The third partial cross-sectional structural diagram of the intelligent teaching auxiliary system based on artificial intelligence of the present invention;

[0047] Figure 8 This is the fourth partial cross-sectional structural diagram of the intelligent teaching auxiliary system based on artificial intelligence of the present invention.

[0048] In the figure: 1, track; 101, first rack;

[0049] 2. First housing; 201. Slider; 202. Travel motor; 203. First gear; 204. Rotating motor; 205. First bevel gear; 206. Second bevel gear; 207. Transmission shaft; 208. Ring plate; 209. Ball seat;

[0050] 3. Pitch angle adjustment mechanism; 301. Inverted U-shaped frame; 302. Angle adjustment motor;

[0051] 4. Second housing; 401. Through hole; 4011. Petal-shaped dust cover;

[0052] 5. Data acquisition circuit board;

[0053] 6. Replace the motor; 601. Second gear; 602. Second rack; 6021. Slide; 603. Mounting seat; 6031. Mounting slot; 6032. Horizontal slot; 6033. Positioning slot; 6034. Crossbar; 6035. Stopper; 6036. Sleeve; 6037. Spring; 6038. Pull ring; 604. Travel switch; 605. Limit block;

[0054] 7. Camera; 701. Mounting block; 7011. Slot; 7012. Limiting slot; 7013. Positioning block;

[0055] 8. Fan; 801. Heating box; 802. Three-way solenoid valve; 803. Connecting hose; 804. Nozzle. DETAILED DESCRIPTION

[0056] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0057] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on this patent; in order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0058] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "inner", "outer", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as a limitation on this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0059] In the description of the present invention, unless otherwise clearly specified and limited, if the term "connection" or the like appears to indicate the connection relationship between components, the term should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two components or the interaction relationship between two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0060] Example

[0061] See also Figures 1 to 8 This embodiment provides an intelligent teaching assistance system based on artificial intelligence, including: a video acquisition module, a video preprocessing module, an image feature extraction module and an AI analysis module, wherein:

[0062] The video acquisition module is used to capture and collect the video data of the students' class status in real time, and send the collected video data of the class status to the video preprocessing module;

[0063] The video preprocessing module is connected to the video acquisition module, and is used to perform frame-by-frame denoising and image enhancement on the collected video data of the class status to improve the video quality, and send the preprocessed video frames to the image feature extraction module;

[0064] After receiving the preprocessed video frames, the image feature extraction module extracts key image features of the students, including but not limited to face recognition information, body posture recognition data, and facial expression recognition results;

[0065] The AI ​​analysis module is connected to the image feature extraction module, and performs in-depth behavioral analysis based on the extracted image features to evaluate students' learning status, concentration, and classroom participation, and automatically generates a detailed assessment report.

[0066] The above-mentioned AI-based intelligent teaching assistance system, through integrated intelligent image processing and AI analysis technology, realizes real-time and accurate monitoring and analysis of students' classroom performance. It can provide teachers with a basis for personalized teaching adjustments without human intervention, thereby effectively improving teaching efficiency and students' learning outcomes, while significantly reducing labor costs and speeding up analysis.

[0067] In the AI ​​analysis module, the specific plan for deep behavior analysis can be further refined into the following steps to ensure a comprehensive and accurate assessment of students' classroom performance:

[0068] 1. Analysis of attention concentration

[0069] 1.1 Eye tracking:

[0070] Using the face recognition information and eye position data in the image feature extraction module and advanced gaze tracking algorithms, students' eye movement trajectories can be tracked in real time.

[0071] Analyze the time and frequency of students' gazes on the blackboard, screen or teacher to assess whether their attention is focused on the teaching content.

[0072] 1.2 Body posture analysis:

[0073] Analyze body posture recognition data in the image feature extraction module to identify whether students sit up straight, turn their heads frequently, or lower their heads, etc. These behaviors may indicate distraction.

[0074] The proportion of time students spend in a “focused posture” in class is calculated as an important indicator of their concentration.

[0075] 2. Learning status assessment

[0076] 2.1 Facial Expression Recognition:

[0077] With the help of facial expression recognition results, students' emotional states, such as concentration, confusion, sleepiness, etc., can be identified.

[0078] Analyze the changing trends and duration of these emotional states to evaluate students' understanding and mastery of the teaching content.

[0079] Pay special attention to the emergence of negative emotions (such as drowsiness and irritability) and remind teachers to adjust their teaching strategies in time.

[0080] 2.2 Interactive behavior analysis:

[0081] Monitor students' interactive behaviors in class, such as raising hands, asking questions, and participating in discussions, and automatically identify and record them through image analysis technology.

[0082] The frequency and type of interaction can be used as important indicators to assess students' enthusiasm and initiative in learning.

[0083] 3. Classroom participation assessment

[0084] 3.1 Group discussion monitoring:

[0085] If the class involves group discussions, the AI ​​analysis module can identify student groupings and monitor interactions within each group.

[0086] Analyze sounds, movements, and facial expressions during discussions to assess students’ participation and contributions within the group.

[0087] 3.2 Question answering statistics:

[0088] If there is an instant answering session in the classroom (such as using an electronic answering machine or an online platform), the AI ​​analysis module can connect with these systems to obtain students' answer data.

[0089] Analyze the accuracy, reaction speed and change trends of answers, and evaluate students' mastery of knowledge points and learning progress.

[0090] 4. Comprehensive assessment and report generation

[0091] 4.1 Weight distribution:

[0092] Different weights are assigned to dimensions such as attention span, learning status, and class participation according to educational goals and course requirements.

[0093] Ensure that assessment results fully reflect students' classroom performance.

[0094] 4.2 Data analysis and report generation:

[0095] Summarize and integrate the above analysis results and display the students' learning status in the form of charts, scores or grades.

[0096] Automatically generate detailed assessment reports, including individual student performance analysis, an overview of the class's overall learning status, and personalized teaching suggestions for teachers.

[0097] Through the above-mentioned deep behavioral analysis solution, the AI ​​analysis module can achieve a comprehensive and accurate evaluation of students' classroom performance, provide strong data support for teachers, promote the implementation of personalized teaching, and improve teaching quality and learning outcomes.

[0098] Among them, the gaze tracking algorithm obtains real-time data of the human eye by measuring eye information and movement, thereby monitoring changes in eye movements and inferring what is happening in the human brain.

[0099] The core of the eye tracking algorithm is to provide valuable information about the audience's attention, interest and intention by capturing the direction and focus of their gaze. This technology is based on the principle of the "brain-eye consistency hypothesis", that is, the location of the gaze is usually related to the things that are focused on and thought about. By extracting eye feature information to estimate the direction of sight or the location of the eye's gaze point, and monitoring changes in eye movements, it can infer what is happening in the human brain.

[0100] The implementation of gaze tracking algorithms relies on a variety of technical solutions, including but not limited to pupil-corneal reflection method, retinal image positioning, structured light tracking, etc. These technical solutions use the physiological structure and characteristics of the eyeball to capture the movement of the eyeball and the direction of sight through different methods, thereby achieving high-precision gaze tracking.

[0101] Specifically, in this embodiment, the video acquisition module includes:

[0102] Camera 7: Two cameras 7 are provided, and one of the cameras 7 is provided as a redundant setting;

[0103] Track 1, Track 1 is installed on the ceiling of the classroom;

[0104] A walking mechanism, which is used to drive two cameras 7 to move along the track 1;

[0105] A rotating mechanism, which is used to drive the two cameras 7 to rotate horizontally, and is arranged at the lower end of the walking mechanism;

[0106] A pitch angle adjustment mechanism 3, which is used to drive the two cameras 7 to adjust the pitch angles. The pitch angle adjustment mechanism 3 is arranged at the lower end of the rotating mechanism;

[0107] A second housing 4, the second housing 4 is used to install two cameras 7, and the second housing 4 is installed at the lower end of the pitch angle adjustment mechanism 3;

[0108] The replacement mechanism is used to replace the damaged camera 7 with another camera 7 to work when the running camera 7 is damaged. The replacement mechanism is installed inside the second shell 4.

[0109] The walking mechanism includes a first housing 2, a slider 201 is fixedly connected to the top of the first housing 2, the slider 201 is slidably connected to the track 1, a first rack 101 is fixedly connected to one side of the track 1, a walking motor 202 is fixedly installed inside the first housing 2, a first gear 203 is fixedly connected to the upper end of the rotating shaft of the walking motor 202, and the first gear 203 is meshed with the first rack 101. By controlling the rotating shaft of the walking motor 202 to rotate forward or reverse, the camera 7 can be driven to move along the track 1;

[0110] Among them, the rotating mechanism includes a rotating motor 204 and a transmission shaft 207. The upper end of the transmission shaft 207 is rotatably connected to the inside of the first shell 2 through a bearing. The top of the transmission shaft 207 is fixedly connected to the second bevel gear 206. The rotating shaft of the rotating motor 204 is fixedly connected to the first bevel gear 205. The first bevel gear 205 is meshed with the second bevel gear 206. By controlling the forward or reverse rotation of the rotating shaft of the rotating motor 204, the camera 7 can be driven to rotate at a moving angle in the horizontal direction.

[0111] Among them, the pitch angle adjustment mechanism 3 includes an inverted U-shaped frame 301, the inverted U-shaped frame 301 is fixedly connected to the bottom of the transmission shaft 207, the second shell 4 is rotatably connected to the inner side of the inverted U-shaped frame 301, and one side of the inverted U-shaped frame 301 is fixedly connected to an angle adjustment motor 302, and the rotating shaft of the angle adjustment motor 302 is fixedly connected to one side of the second shell 4. By controlling the forward or reverse rotation of the rotating shaft of the angle adjustment motor 302, the pitch angle of the camera 7 can be adjusted.

[0112] By providing the walking mechanism, the rotating mechanism and the pitch angle adjustment mechanism 3, the camera 7 can be adjusted at multiple angles to achieve shooting at any position in the classroom.

[0113] In this embodiment, the alternating mechanism includes a replacement motor 6 and two second racks 602. The replacement motor 6 is fixedly installed inside the second shell 4. The two second racks 602 are slidably arranged inside the second shell 4. In order to ensure that the two second racks 602 can move up and down stably, a limiting block 605 is fixedly connected inside the second shell 4. A slide groove 6021 is provided on one side of the second rack 602. The limiting block 605 is slidably arranged inside the slide groove 6021 on the side away from the second shell 4. A second gear 601 is fixedly connected to the rotating shaft of the replacement motor 6. The second gear 601 is meshed with the two second racks 602. The bottoms of the two second racks 602 are fixedly connected with mounting seats 603. The two cameras 7 are respectively installed on the corresponding mounting seats 603. A through hole 401 is provided at the bottom of the second shell 4 for the camera 7 to extend from the inside of the second shell 4. In order to prevent external dust from entering the inside of the second shell 4, a petal-shaped dust cover 4011 is fixedly sleeved inside the through hole 401.

[0114] By adopting the above technical solution, when the running camera 7 is damaged, the shaft of the replacement motor 6 is controlled to rotate, the damaged camera 7 is moved into the second shell 4, and the other camera 7 is pushed out of the second shell 4, so as to achieve seamless docking and ensure the normal operation of video shooting.

[0115] The control circuit board 5 is fixedly installed inside the second shell 4 , and the travel motor 202 , the rotation motor 204 , the angle adjustment motor 302 and the replacement motor 6 are all controlled by the control circuit board 5 .

[0116] The video acquisition module adopts a movable, rotatable and pitch-adjustable camera 7, which can shoot any position in the classroom. With the replacement mechanism, seamless switching is achieved when the camera 7 fails, ensuring the continuity and stability of teaching monitoring.

[0117] In this embodiment, a limit switch 604 is fixedly installed on the inner top of the second shell 4, and the signal output end of the limit switch 604 is electrically connected to the signal input end of the control circuit board 5. When the top of the second rack 602 contacts the limit switch 604, the limit switch 604 sends a signal to the control circuit board 5, and the control circuit board 5 controls the replacement motor 6 to stop rotating.

[0118] In this embodiment, the camera 7 is detachably mounted on the mounting seat 603 through a disassembly mechanism, the disassembly mechanism includes a mounting slot 6031 and a mounting block 701, the bottom of the mounting block 701 is fixedly connected to the top of the camera 7, a slot 7011 is provided on the top of the mounting block 701, a limiting slot 7012 connected to the slot 7011 is provided at the lower end of the mounting block 701, the inner diameter of the slot 7011 is smaller than the inner diameter of the limiting slot 7012, and a transverse slot 6032 is provided on the mounting seat 603, and the transverse slot 6032 runs through the mounting slot 603. 1, a cross bar 6034 is fixedly connected inside the transverse groove 6032, a sleeve 6036 is slidably sleeved on the cross bar 6034, the outer wall of the sleeve 6036 is in sliding contact with the inner wall of the transverse groove 6032, one end of the cross bar 6034 is fixedly connected to a stopper 6035, a spring 6037 is sleeved on the cross bar 6034, one end of the spring 6037 abuts against one side of the stopper 6035, the other end of the spring 6037 abuts against the inner wall of the sleeve 6036 at one end away from the stopper 6035, and a pull ring 6038 is installed at one end of the sleeve 6036;

[0119] When installing the camera 7, pull the pull ring 6038 to pull one end of the sleeve 6036 out of the transverse groove 6032, and then insert the upper end of the mounting block 701 into the mounting groove 6031. As the mounting block 701 continues to move upward, the cross bar 6034 can enter the limiting groove 7012 from the slot 7011, and then release the pull ring 6038. At this time, the sleeve 6036 re-enters the transverse groove 6032 under the elastic force of the spring 6037. At the same time, the sleeve 6036 is inserted into the limiting groove 7012 to fix the mounting block 701 in the mounting groove 6031.

[0120] By adopting the above technical solution, the camera 7 can be quickly disassembled and assembled to facilitate the subsequent inspection, maintenance and upgrade needs.

[0121] Among them, a positioning groove 6033 is opened at the bottom of the mounting seat 603, and a positioning block 7013 is fixedly connected to the lower end of the mounting block 701. The positioning block 7013 can be inserted into the positioning groove 6033. Through this setting, the cross bar 6034 can accurately pass through the slot 7011 and enter the limiting slot 7012.

[0122] In this embodiment, a nozzle 804 is fixedly installed at the bottom of the mounting base 603, and the air outlet of the nozzle 804 faces the lens glass plate of the camera 7. A fan 8 is fixedly installed inside the second housing 4, and the outlet of the fan 8 is connected to the air inlet of the nozzle 804 through the connecting hose 803. The fan 8 is provided in conjunction with the nozzle 804, so that the dust attached to the camera 7 can be cleaned to ensure that the shooting picture remains clear.

[0123] Furthermore, the air outlet of the fan 8 is connected to a heating box 801, an electric heating wire is installed inside the heating box 801, a three-way solenoid valve 802 is installed at the air outlet of the heating box 801, and a connecting hose 803 connected to the air inlet of the nozzle 804 is installed on both interfaces of the three-way solenoid valve 802. By adopting the above technical solution, when the lens glass plate of the camera 7 is fogged during the operation of the camera 7 in winter, the electric heating wire is turned on so that hot air can blow to the lens glass plate to perform rapid defogging. Through the three-way solenoid valve 802, the air path can be switched according to the operating state of the camera 7.

[0124] In order to ensure accurate control of the motor, a motor control model can be established. For the walking motor 202, the rotating motor 204, the angle adjustment motor 302 and the replacement motor 6, a PID (proportional-integral-differential) control model can be used to ensure accurate control of the motor. The output u(t) of the PID controller can be expressed as:

[0125]

[0126] Where e(t) is the error signal (difference between target position and actual position), Kp, Ki and Kd are proportional, integral and derivative gains respectively.

[0127] The motor control model has the following advantages

[0128] Precise control: The motor control model can achieve precise control of the camera's movement and rotation, ensuring that the camera moves according to the preset trajectory and speed, reducing errors.

[0129] Dynamic response: The model can respond quickly to control commands and adjust the speed and direction of the motor to adapt to different shooting needs and scene changes.

[0130] Energy efficiency optimization: By optimizing the control algorithm, the energy consumption of the motor can be reduced and the energy efficiency of the overall system can be improved while ensuring the shooting quality.

[0131] High stability: The motor control model can predict and compensate for unstable factors in the system, such as friction and load changes, to ensure the stability of the camera during movement.

[0132] For the movement and rotation of the camera 7, a simple dynamic model can be established to predict its movement. For example, for horizontal movement, it can be expressed as:

[0133]

[0134] Where F is the force provided by the motor, m is the total mass of the camera and its supporting structure, a is the acceleration, and x is the position.

[0135] The kinetic model has the following advantages

[0136] Predictive performance: The dynamics model can simulate the motion behavior of the camera under different conditions, predict its trajectory and speed, and provide a basis for the control strategy.

[0137] Strong adaptability: In the face of complex classroom environments, the dynamic model can help the system adapt to different ground conditions, obstacles and dynamic changes, ensuring that the camera can move accurately and stably.

[0138] Optimize path planning: Based on the dynamic model, a more reasonable and efficient path planning algorithm can be designed to reduce redundancy and collision risks during camera movement.

[0139] In the rotation mechanism and the pitch angle adjustment mechanism, the rotation angle or pitch angle of the camera 7 can be calculated by measuring the rotation angle θ of the motor. For example, if the camera rotates α degrees per rotation of the motor, the camera rotation angle = θ×α.

[0140] Angle calculation has the following advantages

[0141] Precise positioning: Through precise angle calculation, the camera can be accurately positioned in the horizontal direction and pitch angle to capture the scene that needs attention.

[0142] Automatic adjustment: The system can automatically adjust the camera angle according to shooting requirements without manual intervention, improving shooting efficiency and automation level.

[0143] Reduce errors: Angle calculation combined with the control model can reduce the angle error caused by factors such as mechanical structure and motor performance, and improve the quality of the captured image.

[0144] High flexibility: supports multiple angle calculation methods and algorithm optimization, and can be adjusted according to specific application scenarios and needs to meet the needs of different shooting tasks.

[0145] In summary, the application of motor control model, dynamic model and angle calculation in the video acquisition module can significantly improve the accuracy, stability, energy efficiency and flexibility of the system, and provide high-quality video acquisition support for teaching, conferencing and other scenarios.

[0146] In order to facilitate understanding of the above technical solutions of the present invention, the working principle or operation mode of the present invention in the actual process is described in detail below.

[0147] Working principle: When in use, turn on camera 7, which transmits the captured video to the video preprocessing module in real time. The video preprocessing module is used to perform denoising and image enhancement on the video transmitted by the video acquisition module frame by frame, and then transmit the processed video to the image feature extraction module. The image feature extraction module extracts the image features of the students from the video frames transmitted by the video preprocessing module, and the pictures after feature extraction are transmitted to the AI ​​analysis module. The AI ​​analysis module performs behavior analysis and judgment based on the pictures transmitted by the image feature extraction module, and gives an evaluation report.

[0148] Parts not involved in the present invention are the same as the prior art or can be implemented by the prior art. Although the embodiments of the present invention have been shown and described, it is understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent teaching auxiliary system based on artificial intelligence, characterized in that: include: The video acquisition module is used to capture and collect video data of students in the classroom in real time; A video preprocessing module, connected to the video acquisition module, for performing frame-by-frame denoising and image enhancement on the acquired video data to improve the video quality; An image feature extraction module receives the preprocessed video frames and extracts key image features of the students therefrom, including but not limited to face recognition information, body posture recognition data, and facial expression recognition results; The AI ​​analysis module is connected to the image feature extraction module, performs in-depth behavior analysis based on the extracted image features, evaluates students' learning status, concentration and class participation, and automatically generates a detailed evaluation report.

2. The intelligent teaching auxiliary system based on artificial intelligence according to claim 1, characterized in that: The video acquisition module comprises: A camera (7), wherein two cameras (7) are provided, one of the cameras (7) being provided as a redundant arrangement; A track (1), wherein the track (1) is installed on the ceiling of the classroom; A walking mechanism, the walking mechanism being used to drive the two cameras (7) to move along the track (1); A rotating mechanism, the rotating mechanism is used to drive the two cameras (7) to rotate horizontally, and the rotating mechanism is arranged at the lower end of the walking mechanism; A pitch angle adjustment mechanism (3), the pitch angle adjustment mechanism (3) being used to drive the two cameras (7) to adjust the pitch angles, the pitch angle adjustment mechanism (3) being arranged at the lower end of the rotating mechanism; A second shell (4), the second shell (4) being used for mounting the two cameras (7), the second shell (4) being mounted at the lower end of the pitch angle adjustment mechanism (3); A replacement mechanism, wherein when the operating camera (7) is damaged, another camera (7) is brought out to replace the damaged camera (7) for operation, and the replacement mechanism is installed inside the second housing (4).

3. The intelligent teaching auxiliary system based on artificial intelligence according to claim 2 is characterized in that: The walking mechanism comprises a first shell (2), a slider (201) is fixedly connected to the top of the first shell (2), the slider (201) is slidably engaged on the track (1), a first rack (101) is fixedly connected to one side of the track (1), a walking motor (202) is fixedly installed inside the first shell (2), a first gear (203) is fixedly connected to the upper end of the rotating shaft of the walking motor (202), and the first gear (203) is meshed with the first rack (101); The rotating mechanism comprises a rotating motor (204) and a transmission shaft (207); the upper end of the transmission shaft (207) is rotatably connected to the inside of the first housing (2) via a bearing; the top of the transmission shaft (207) is fixedly connected to a second bevel gear (206); the rotating shaft of the rotating motor (204) is fixedly connected to a first bevel gear (205); the first bevel gear (205) is meshed with the second bevel gear (206); The pitch angle adjustment mechanism (3) comprises an inverted U-shaped frame (301), the inverted U-shaped frame (301) is fixedly connected to the bottom of the transmission shaft (207), the second housing (4) is rotatably connected to the inner side of the inverted U-shaped frame (301), one side of the inverted U-shaped frame (301) is fixedly connected to an angle adjustment motor (302), and the rotation shaft of the angle adjustment motor (302) is fixedly connected to one side of the second housing (4); The alternating mechanism comprises a replacement motor (6) and two second racks (602), wherein the replacement motor (6) is fixedly mounted inside the second housing (4), and the two second racks (602) are slidably arranged inside the second housing (4); a second gear (601) is fixedly connected to the rotating shaft of the replacement motor (6), and the second gear (601) is meshed with the two second racks (602); the bottoms of the two second racks (602) are fixedly connected to mounting seats (603), and the two cameras (7) are respectively mounted on the corresponding mounting seats (603); and a through hole (401) is provided at the bottom of the second housing (4) for the camera (7) to extend out from the inside of the second housing (4); A control circuit board (5), wherein the control circuit board (5) is fixedly mounted inside the second shell (4), and the travel motor (202), the rotation motor (204), the angle adjustment motor (302) and the replacement motor (6) are all controlled by the control circuit board (5).

4. The intelligent teaching auxiliary system based on artificial intelligence according to claim 3 is characterized by: A petal-shaped dust cover (4011) is fixedly sleeved inside the through hole (401).

5. The intelligent teaching auxiliary system based on artificial intelligence according to claim 3 is characterized by: A limiting block (605) is fixedly connected inside the second shell (4), a sliding groove (6021) is provided on one side of the second rack (602), and the limiting block (605) is slidably arranged inside the sliding groove (6021) on a side away from the second shell (4).

6. The intelligent teaching auxiliary system based on artificial intelligence according to claim 2, characterized in that: The camera (7) is detachably mounted on the mounting seat (603) through a disassembly mechanism, the disassembly mechanism comprising a mounting slot (6031) and a mounting block (701), the bottom of the mounting block (701) being fixedly connected to the top of the camera (7), the top of the mounting block (701) being provided with a slot (7011), the lower end of the mounting block (701) being provided with a limiting slot (7012) connected to the slot (7011), the inner diameter of the slot (7011) being smaller than the inner diameter of the limiting slot (7012), the mounting seat (603) being provided with a transverse slot (6032), the transverse slot (6032) penetrating the mounting slot (6031) The interior of the transverse groove (6032) is fixedly connected with a cross bar (6034), a sleeve (6036) is slidably sleeved on the cross bar (6034), the outer wall of the sleeve (6036) is in sliding contact with the inner wall of the transverse groove (6032), one end of the cross bar (6034) is fixedly connected with a stopper (6035), the cross bar (6034) is sleeved with a spring (6037), one end of the spring (6037) abuts against one side of the stopper (6035), the other end of the spring (6037) abuts against the inner wall of one end of the sleeve (6036) away from the stopper (6035), and a pull ring (6038) is installed at one end of the sleeve (6036); When installing the camera (7), pull the pull ring (6038) to pull one end of the sleeve (6036) out of the transverse groove (6032), and then insert the upper end of the mounting block (701) into the mounting groove (6031). As the mounting block (701) continues to move upward, the cross bar (6034) can enter the limiting groove (7012) from the slot (7011), and then release the pull ring (6038). At this time, the sleeve (6036) re-enters the transverse groove (6032) under the elastic force of the spring (6037), and at the same time, the sleeve (6036) is inserted into the limiting groove (7012) to fix the mounting block (701) in the mounting groove (6031).

7. The intelligent teaching auxiliary system based on artificial intelligence according to claim 6 is characterized by: A positioning groove (6033) is provided at the bottom of the mounting seat (603), and a positioning block (7013) is fixedly connected to the lower end of the mounting block (701), and the positioning block (7013) can be inserted into the positioning groove (6033).

8. The intelligent teaching auxiliary system based on artificial intelligence according to claim 7, characterized in that: A travel switch (604) is fixedly mounted on the inner top of the second shell (4); a signal output end of the travel switch (604) is electrically connected to a signal input end of the control circuit board (5); when the top of the second rack (602) contacts the travel switch (604), the travel switch (604) sends a signal to the control circuit board (5), and the control circuit board (5) controls the replacement motor (6) to stop rotating.

9. The intelligent teaching auxiliary system based on artificial intelligence according to claim 2, characterized in that: A nozzle (804) is fixedly mounted on the bottom of the mounting seat (603), and an air outlet of the nozzle (804) faces the lens glass plate of the camera (7). A fan (8) is fixedly mounted inside the second shell (4), and an outlet of the fan (8) is connected to an air inlet of the nozzle (804) via a connecting hose (803).

10. The intelligent teaching auxiliary system based on artificial intelligence according to claim 4, characterized in that: The air outlet of the fan (8) is connected to a heating box (801), an electric heating wire is installed inside the heating box (801), a three-way solenoid valve (802) is installed at the air outlet of the heating box (801), and the two interfaces of the three-way solenoid valve (802) are both equipped with the connecting hose (803) connected to the air inlet of the nozzle (804).

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