54 results about "Smart classroom" patented technology

The invention provides a smart classroom interaction analysis method based on double-layer architecture voice segmentation, and relates to the technical field of voice segmentation, and the method specifically comprises the following steps: extracting the voice features of a voice signal through employing a Mel-frequency cepstrum coefficient MFCC; designing a text-enhanced multi-scale time sequence-based perception time delay neural network, performing coarse screening on voice features, and dividing an audio clip into a single-speaker clip and a multi-speaker clip; and inputting the coarsely screened multi-speaker segment into a sliding window segmentation model SW-NIF fused with adjacent window information, and positioning speaker conversion points in the multi-speaker segment. And training the constructed model on the data set and verifying the model. According to the technical scheme, the problems that in the prior art, the segmentation problem of the classroom audio is neglected, and only the classroom audio is simply segmented for subsequent tasks, so that speakers in audio clips are mixed, and the analysis effect is affected are solved.

The invention discloses an Internet of Things terminal centralized control system and method for a smart classroom, and relates to the field of Internet of Things equipment management. The method comprises the following steps: a local central control host of each classroom periodically acquires equipment state data, encapsulates and uploads the equipment state data to a cloud control platform, analyzes the data into a standardized state object based on an equipment information base, and constructs a global virtualization view; and when a remote control instruction is received, the cloud control platform verifies the feasibility of the instruction in combination with the virtual view and issues the instruction to the local central control host driving equipment for execution, then collects a feedback result, performs closed-loop verification, updates the virtual view, and pushes the latest state information to a remote terminal for display. Through precise monitoring and automatic control of the equipment state, the operation queue is optimized, parallel processing is realized, and the efficiency and the intelligent level of intelligent classroom equipment management are improved.

1. Name of the product in this design: Smart Classroom Convergence Terminal. 2. Application of this design: for routine recording and broadcasting, interactive teaching, and edge computing in the education industry. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a classroom behavior detection model and method based on parallel state space model and self-attention, and belongs to the technical field of intelligent education. A convolution unit driven by a TeLU activation function is designed, and the problem of subtle behavior feature weakening is solved through nonlinear mapping of a hyperbolic tangent index linear unit. A mixed feature fusion unit module is constructed, and attitude transformation and scene change are adapted through multi-branch structure integration space and channel reconstruction convolution and dynamic feature transformation. A VCAF module is designed, features are decomposed into three types of sub-features capable of being independently processed, and through long-time timing sequence modeling of Mamba and aggregation of a convolution addition self-attention mechanism, behavior semantic confusion with highly similar visual performance is solved, redundancy of long-time static features is removed, and details of short-time dynamic features are reserved. An efficient and reliable behavior detection scheme is provided for classroom scene multi-target behavior recognition, and technical support is provided for intelligent classroom real-time behavior monitoring and teaching quality evaluation.

The application discloses a classroom scene identity recognition method based on a multi-level information fusion Transformer, and belongs to the technical field of image detection.The application comprises the following steps: sampling and processing a video, sending the video into a target detection network, obtaining a person candidate frame based on the output of the target detection network, extracting features of the person candidate frame based on a multi-level information fusion Transformer network, obtaining and saving key feature information of the person candidate frame, extracting features of the person candidate frame of a target person based on the multi-level information fusion Transformer network, and obtaining key feature information of the target person; and determining whether the target person exists in a video frame based on similarity comparison between the key feature information.The application can effectively detect and recognize specific persons, has good robustness, and has good effects in sparse crowds and dense crowds.Meanwhile, the module can provide strong assistance for the construction of a smart classroom.

The utility model discloses a kind of wisdom classroom podiums with hidden wire arrangement groove, belong to wisdom classroom equipment technical field, to solve the problem of existing podium internal circuit easy entanglement twist, management and maintenance are inconvenient.It includes podium inner plate, and several buried wire groove components are fixed in podium inner plate upper through bolt, and buried wire groove component contains protective housing and carding component;Protective housing has the limiting plate of resistance podium inner plate, and limiting plate is connected with symmetric arc shell, and rubber strip is fixed in arc shell end inner side, and rubber strip protruding mouth mutually abuts;Carding component contains adjusting lever and carding plate, and adjusting lever drives carding plate to slide, and carding plate snap groove cooperates with limiting groove of limiting plate to card line, and arc shell inner side middle part baffle limits adjusting lever sliding.This device realizes circuit hidden type storage and classification carding, dust resistance is good, convenient to operate, satisfy the fine management demand of wisdom classroom circuit.

This invention provides a real-time learning feedback method and system for smart classrooms based on smart classrooms, including: Step S1: collecting and preprocessing data; Step S2: selecting learning characteristic variables based on the data to obtain training variables; Step S3: training a model based on the training variables; Step S4: determining whether the fitting result of the model's input data and output data is greater than a preset value; if the result is yes, deploying the model; if the result is no, repeating step S3; Step S5: outputting the student's academic performance through the model and providing feedback to the target personnel. This invention integrates learning display and the classroom central control system into a learning feedback screen. Through the learning feedback screen display scheme, the interface for teachers to view learning data and initiate teaching activities is separated from the traditional podium screen, avoiding cumbersome screen switching and protecting the privacy of teaching information.

The present application relates to a smart classroom system, comprising: a classroom comprising a public area for a plurality of testees [1] to simultaneously perform psychological assessment and a private area for a single testee to perform psychological intervention; a plurality of pairs of tables and chairs, wherein each table is provided with a first user terminal; the shared information presentation mechanism comprises a main body and an information presentation device arranged on the main body; the wearable virtual reality equipment is used by a testee during psychological intervention; the second user terminal is used by a psychological intervener during psychological intervention; the server generates psychological drama sand table placement information and a first evaluation result in a scene that multiple persons perform psychological evaluation at the same time; in a scene of performing psychological intervention on the testee, the wobble information is respectively sent to the paired second user terminal and the wearable virtual reality device by the server, and the server generates a second evaluation result in response to a second operation of the testee on the psychological drama sand table presented on the wearable virtual reality device.

The invention discloses an intelligent seat arrangement control method, and relates to the field of smart classrooms, and the method comprises the steps: obtaining the seat distribution information of a target examination room; according to the seat sub-distribution information of each group and a target seat arrangement scheme, determining the number of people capable of being arranged in each group under different target seat arrangement schemes; based on the number of people capable of being arranged in each group of all groups of different target seat arrangement schemes, determining the number of people capable of being arranged in the target examination room under the different target seat arrangement schemes; obtaining a target examination number; determining examinee position arrangement information according to the target examination number of people and arrangeable number of people in the target examination room under different target seat arrangement schemes; and sending the examinee position arrangement information to a target terminal. According to the invention, through systematic processing flow and clear algorithm design, automation, intelligentization and visualization of examination seat arrangement work are successfully realized, and the system has wide application prospect and practical value.

The utility model provides a demonstration auxiliary device for an intelligent classroom. The demonstration auxiliary device comprises a locking ring, a bearing plate and two light supplementing assemblies. The locking ring is detachably arranged on a lens of the image acquisition equipment in a sleeving manner, an assembling hole is formed in the bearing plate, a rotatable connecting sleeve is arranged in the assembling hole, and the bearing plate is detachably connected with the locking ring through the connecting sleeve. The two light supplementing assemblies are arranged on the two sides of the bearing plate in a mirror image mode, and each light supplementing assembly comprises a supporting frame and a bearing shaft. A containing hole is formed in the side wall of the bearing plate, one end of the supporting frame is arranged in the containing hole in a sliding mode, the other end of the supporting frame is rotationally connected with the bearing shaft, and a light supplementing lamp strip is arranged on the side wall of the bearing shaft. According to the demonstration auxiliary device for the intelligent classroom, the position of a light source can be flexibly adjusted, and illumination dead angles or overexposure areas are prevented from occurring during image acquisition.

1. Name of the designed product: electronic teaching panel (mathematics smart classroom). 2. Use of the designed product: teaching board for teaching. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

1. The name of the design product: interactive display terminal (small smart classroom). 2. The use of the design product: for teaching interactive content display. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The utility model discloses an intelligent classroom management system based on the idea of energy conservation and emission reduction, and aims to solve the problem of energy waste of existing colleges and universities. Comprising an ambient light sensor, a temperature sensor, a face recognition module, a 51 single-chip microcomputer, an ATmega16U2 chip, a voice broadcast module, an LCD display screen, and a plurality of lamps, electric curtains and fans installed in a classroom. The temperature sensor is connected with the input end of the development board where the 51 single-chip microcomputer is located. The LCD display screen and the fan are connected with the output end of the development board where the 51 single-chip microcomputer is located. Compared with a common temperature control fan, the system has the obvious advantages in the aspects of intelligent control, energy saving efficiency, user interaction experience and multifunctionality by using the single-chip microcomputer to control the temperature of the fan; the ATmega16U2 chip is used for controlling face recognition, and the face recognition is more accurate than traditional infrared recognition; an ATmega16U2 chip is used for controlling an ambient light sensor to automatically adjust indoor light and a curtain, energy is saved, and meanwhile comfortable illumination is ensured.

The invention belongs to the technical field of smart classroom energy-saving control, and particularly discloses a classroom equipment adaptive linkage control method and system based on multi-modal perception, and the method comprises the following steps: obtaining multi-dimensional environment data in a classroom; processing the multi-dimensional environment data: fusing millimeter wave radar data and infrared sensor data to generate a personnel track and a distribution thermodynamic diagram, and performing scene recognition and decision analysis through a dynamic decision engine based on the personnel track, the distribution thermodynamic diagram, audio data and other environment data to generate an equipment control instruction; and according to the equipment control instruction, the lighting equipment, the air conditioning equipment, the sound equipment, the camera and the fresh air system are controlled in a linkage mode, and self-adaptive energy-saving regulation and control are achieved. According to the invention, the energy-saving effect can be realized while the dynamic linkage control of classroom equipment is satisfied.

The invention discloses an intelligent classroom auxiliary teaching management system based on real-time feedback of intelligent handwritten data, which belongs to the field of big data processing, and comprises the following steps: a signal acquisition and segmentation module is used for receiving sensor data of intelligent handwritten equipment, setting a dynamic vibration energy threshold value according to environmental background noise to capture pen falling and raising events, and sending the events to a server; defining a writing time interval; the abnormal behavior recognition and cleaning module is used for extracting time sequence motion features of the writing states, performing classification marking on the writing states and removing sensor data marked as abnormal behaviors; the trajectory reconstruction and drift elimination module is used for performing accumulative transformation on the rejected sensor data to obtain a handwriting trajectory, and correcting a velocity vector to suppress an accumulative error; and the intelligent classroom management service module is used for obtaining writing feature statistics according to the output handwriting track, generating real-time teaching prompt information and pushing the real-time teaching prompt information to the teacher terminal, thereby improving the effectiveness of intelligent classroom auxiliary teaching management.

The invention relates to the technical field of educational informatization, and discloses a smart classroom interactive behavior real-time supervision method fused with attention recognition, and the method comprises the steps: collecting classroom video streams, carrying out the time domain differential coding through an integral issuing neuron model, and generating teacher and student end pulse streams; constructing a self-adaptive confidence mask based on the visual pulse stream of the student side, performing gating repair and interpolation on the original video signal, and reconstructing a clean physiological blood volume pulse wave signal; extracting a student physiological feature vector, and calculating a dynamic lag order parameter according to the teacher end pulse stream; and performing time-varying Granger causality test on the teacher end pulse stream and the student physiological feature vector by using the parameters, and outputting an interactive behavior judgment result. By quantifying the causal association between the teaching stimulation and the physiological response of the student, the problems that the false attention state is difficult to distinguish and the non-contact physiological signal is susceptible to action interference in the prior art are solved, and the accuracy and robustness of classroom supervision are improved.

The invention relates to a smart classroom interaction method and device, equipment and a storage medium. The smart classroom interaction method is applied to the student terminal device, and the method encrypts the required data according to the second transmission sequence and each second encryption key, thereby preventing the student terminal device from querying the data source after submitting the exercise data. Meanwhile, the data packet in the (i-1) th bit in the sorting and the first encryption key in the ith bit in the sorting are encrypted by using the first encryption key in the (i-1) th bit in the sorting, and the first encryption keys are different and are hidden in the data packets, so that the difficulty of stealing the keys by other users is improved, and the user experience is improved. And therefore, the security of the question-doing data is improved.

1. Name of the design product: AI lectern. 2. Use of the design product: used in the podium area of the smart classroom. 3. Design points of the design product: in the shape and structure of the overall product. 4. Picture or photo that best indicates the design points: perspective view 1.

The invention discloses a smart classroom resource dynamic reservation and scheduling system and method, and relates to the technical field of resource scheduling. According to the system, demand analysis or priority pre-evaluation is carried out on a to-be-processed user reservation application, and meanwhile, a scheduling constraint condition of each scheduling period is preset; based on the monitored real-time occupancy state data and the newly added reservation request queue, executing resource matching degree calculation so as to determine the scheduling execution state of each reservation task and / or each classroom resource; whether the scheduling execution state meets a preset scheduling target or not is judged, when the scheduling execution state meets the preset scheduling target, the current scheduling execution state serves as an effective scheduling execution state, and if the scheduling execution state does not meet the preset scheduling target, a rescheduling process is triggered, and resource redistribution of conflicting and / or overload reservation tasks is carried out; and at the end of each scheduling cycle, efficiency quantitative evaluation of the scheduling process is carried out, so that the comprehensive scheduling efficiency of the smart classroom in the dynamic reservation scene is determined, and high adaptability of dynamic reservation and scheduling of smart classroom resources is realized.

This invention relates to a smart classroom system, electronic device, and storage medium based on a digital textbook platform. The system includes: a classroom environment construction module for building an online classroom environment, including student and teacher classroom environments; a teaching content processing module for generating teaching plans based on uploaded courseware or selected digital textbook content; a teaching activity provision module for matching corresponding teaching activities according to uploaded courseware or selected digital textbook content and generating corresponding teaching activity content; an activity data monitoring module for real-time monitoring of classroom data and processing it into corresponding indicator data according to preset indicators; and a feedback data module for generating teaching feedback data based on the indicator data of the teaching plan and / or teaching activities. This invention simplifies the teacher's operation process, provides rich and easy-to-use teaching resources, improves classroom teaching efficiency, and enhances teaching effectiveness.

The invention is suitable for the technical field of smart classroom information collection and smart blackboard data management, and provides a smart classroom-oriented laser smart blackboard data collection method and platform, and the method comprises the steps: controlling a projection module of a smart blackboard to adjust the light output brightness of the projection module if the current signal-to-noise ratio change amplitude is not in a peak value interval, and enabling the adjusted signal-to-noise ratio change amplitude to fall into a peak value interval, and applying the adjusted projection parameter to a subsequent laser point positioning process. According to the method, the signal-to-noise ratio variation amplitude is introduced to serve as a core index for uniformly representing various tiny environment disturbances, the nonlinear peak value interval relation of first rising and then falling exists between the index and the laser point positioning precision, and therefore the inherent limitation that in the prior art, environment fluctuation cannot be processed in a foresight mode is broken through.

The present utility model relates to a classroom noise monitoring device that detects ambient sound levels and provides immediate visual feedback to regulate classroom behavior. The device comprises a sound detection module configured to capture noise, a microcontroller board programmed to classify the detected sound into predefined threshold ranges, and a visual output module that displays indicators corresponding to acceptable, moderately high, and excessive noise levels. In one embodiment, the visual output module employs colored light indicators, while in another embodiment it utilizes a graphic display presenting emoticon icons. An optional wireless communication module may transmit noise data to a remote server or mobile device for monitoring and record-keeping. The device is enclosed in a wall-mountable or desktop casing and powered by a standard low-voltage supply. By providing real-time, intuitive feedback, the utility model offers an affordable and effective tool for promoting discipline and self-awareness in educational settings.

The application discloses a smart classroom auxiliary teaching management system based on intelligent handwriting data real-time feedback and belongs to the field of big data processing, and comprises the following steps: a signal acquisition and segmentation module is used for receiving sensor data of an intelligent handwriting device, a dynamic vibration energy threshold is set according to environmental background noise to capture pen-down and pen-up events, and a writing time interval is defined; an abnormal behavior recognition and cleaning module is used for extracting time sequence motion features of a writing state, classifying and marking the writing state, and removing sensor data marked as abnormal behavior; a trajectory reconstruction and drift elimination module is used for accumulating and transforming the removed sensor data to obtain handwriting trajectories, and correcting speed vectors to suppress cumulative errors; and a smart classroom management service module is used for obtaining writing feature statistics according to the output handwriting trajectories, generating real-time teaching prompt information, and pushing the real-time teaching prompt information to a teacher terminal, so that the smart classroom auxiliary teaching management effectiveness is improved.

The application provides a kind of wisdom classroom monitoring panoramic attendance method based on deep learning, to solve the problems such as high cost, limited accuracy and monitoring blind area of existing classroom automatic roll call system. The method is to integrate panoramic camera and deep learning technology to improve attendance accuracy and efficiency while significantly reducing system cost. The core of this method is to use panoramic camera to capture the panorama of the classroom, and combine face feature extraction model to accurately identify and verify the identity of students. Compared with existing technology, the application has significant cost-effectiveness, can effectively reduce the monitoring blind area, and improve the efficiency of classroom monitoring attendance through automation. In addition, the flexibility and adaptability of this method make it widely applicable to different teaching environments, which is of great significance to improve the quality of teaching management. These advantages show that the application has broad application prospects in the field of smart education.

The application belongs to the field of smart classrooms, and particularly relates to an integrated smart classroom system and device. The existing system cannot interact with the classroom, the personal article protection performance is poor, the position of the desk and chair cannot be adjusted according to the height of the individual, the sunlight directly irradiates a certain position, affects the students in class, and cannot be automatically adjusted, and the use is inconvenient. The present application proposes the following scheme, which comprises a classroom body, both sides of the classroom body are provided with window ledges, the top of the window ledges is provided with a sliding groove, two windows are slidably connected in the sliding groove, and a ventilation assembly for ventilation is arranged on the top of the window ledges. In the application, students and teachers can perform face recognition and sign in through the face recognition device, the door is opened, and the chair is moved out. The chair is extended by different distances, which is convenient for students of various heights to use. During the class, the camera can record the teaching content of the teacher to make a video, which is convenient for students to copy and review.

The utility model discloses an intelligent classroom multifunctional monitoring camera installing support which comprises an installing support body, a rotating disc module is arranged at the front end of the installing support body, and a pitch angle adjusting module used for installing a camera is arranged on the rotating disc module. The pitching angle of the camera is adjusted through the pitching angle adjusting module, and meanwhile the pitching angle adjusting module and the camera can be driven to synchronously and horizontally rotate through the rotating disc module. According to the utility model, the automation of horizontal rotation and pitch angle adjustment of the camera is realized, the adjustment efficiency is greatly improved, the change of a teaching scene can be quickly responded, and the requirements of a smart classroom on flexibility and accuracy are met; and secondly, the operation stability is ensured, and the problem of unstable shot pictures caused by improper operation is effectively avoided, so that the quality of remote interactive teaching is ensured, and the opportunity of missing the capture of key teaching moments is reduced.

The utility model provides a display device for an indoor smart classroom, which comprises two rotatably connected bases, a display mechanism is arranged above each base, a supporting mechanism is arranged below each base, and the bases are provided with accommodating grooves for accommodating the supporting mechanisms; the supporting mechanism comprises a supporting piece, the supporting piece is a fan-shaped structural piece, a rotating piece is arranged at the circle center end of the supporting piece, the cambered surface end of the supporting piece faces the connecting position of the two bases, and assembling holes matched with the rotating piece are formed in the bases. According to the display device for the indoor smart classroom, the rotatable and foldable base is adopted, and the supporting piece of the fan-shaped structure is arranged on the base, so that the display device can be conveniently opened, folded and stored, and the supporting piece can be rotated and transformed according to the state of the display device; the display device can be stably supported all the time, and the safety of the display device in the using process is guaranteed.

This application proposes an Internet of Things (IoT) intelligent integrated multimedia control method and system, wherein the method includes: The control terminal transmits the class schedule information of each classroom to the smart classroom guide board of the corresponding classroom; compares the class schedule information of all smart classroom guide boards for the corresponding time period; if it finds that there are no classes within the preset time period of the corresponding time period, it turns off the main power, doors and windows, air conditioner, and face recognition system of the corresponding classroom; otherwise, it turns them on; compares the faces with the faces of classes that have classes during the corresponding time period, forms the actual number of people present and absent, and obtains the attendance rate of each student; and the smart classroom guide board of the classroom transmits the attendance rate of the corresponding curriculum to the control terminal via a local area network communication method. A system corresponding to this method includes a class schedule information distribution module, an access control module, and an attendance rate formation module. With this method and system, if the main control terminal fails, it can quickly switch to an alternative smart classroom guide board as the control terminal, and if a classroom multimedia failure occurs, it can quickly replace the classroom and notify teachers and students.

The invention belongs to the technical field of artificial intelligence, and particularly discloses a smart classroom adaptability regulation and control method based on multiple modes and a large language model, and the method comprises the steps: collecting multi-source data of a smart classroom environment; performing data preprocessing on the multi-source data, extracting key features of each mode, and constructing a feature library of environment features and behavior features; fusing the environment features and the behavior features by using an orthogonal sequence fusion strategy, and constructing a fusion feature vector; inputting the fusion feature vector into a large language model to obtain a judgment result of the classroom state, and generating an executable regulation and control instruction according to the judgment result; the regulation and control instruction is transmitted to a central control system of the smart classroom, so that real-time regulation and control of the environment and interactive reminding are realized; environment feedback data and student behavior feedback data after regulation and control are collected, and a regulation and control strategy is updated through a reinforcement learning algorithm based on the feedback data. According to the invention, comprehensive performance, simplicity, convenience and real-time performance of adaptive regulation and control can be realized.

The application provides a resonance mode-based high school mathematics classroom learning state feedback method and device, a non-intrusive, high-precision and fine-grained learning cognitive state recognition processing architecture is designed, which realizes the extraction of multiple dimension features on the basis of the video stream, audio stream and behavior event stream collected in the smart classroom, and then combines the resonance mode feature vector obtained by adaptive weighted fusion to realize accurate recognition of multiple cognitive states, so as to provide reliable data support for real-time intervention of high school mathematics classroom teaching and post-class learning situation depth analysis.