34 results about "Ai education" patented technology

The invention discloses a software and hardware combined artificial intelligence education learning system. The system comprises graphical programming software based on block secondary development, ahardware platform customized for artificial intelligence education and a learning platform used for storing user information and assisting teaching management. The graphical programming software comprises a graphical programming Web end program and a Python server end program. According to the method, storage and loading of a single function definition programming block and display and hiding of afunction definition body are set, function blocks spliced by a user before can be loaded at any time when a project is needed, and function body definitions are hidden during graphical programming ofa complex program, so that a programming area is concise, and the user experience is better; programming blocks can be automatically generated, more artificial intelligence application cases can be conveniently developed on the system, and the expandability is high; python codes generated by software are directly operated and set to be self-started through an interface button, and creation of physical creative works of students is facilitated.

The invention belongs to the technical field of artificial intelligence education, and discloses a teaching system based on artificial intelligence, computer equipment and a storage medium. The teaching system based on artificial intelligence comprises a user identity registration and login module, a user level selection module, a central control module, a preliminary evaluation module, a learning weak point determination module, a teaching module, an image acquisition module, an image analysis module, a learning monitoring module, a learning process scoring module, an evaluation module, a teaching evaluation module and a teaching adjustment module. According to the invention, the learning state of the student is automatically determined according to the facial expression of the student based on the preset artificial intelligence algorithm model by obtaining the influence of the learning state of the student on the facial image information; learning contents of the students are determined according to information such as learning states of the students, so that the students can learn conveniently and efficiently; evaluation and teaching quality evaluation are carried out for learning of students, and adaptive evaluation of teaching can be carried out.

The invention discloses an AI educational device for smart education campuses, which relates to the technical field of teaching and office work, and solves the problem that the existing projection screen is easily affected by wind force during use, causing the screen to shake and affect the projection effect. At the same time, the projection screen during use It can only be unfolded up and down, and the curtain is set in a horizontal screen. When a vertical screen is required, it is difficult to meet the use requirements, including the installation base; the right end of the installation base is fixedly connected with a set of rotating driving parts; located on the telescopic installation seat A group of telescopic parts are connected to the two pairs of telescopic support parts at the lower part; the two groups of telescopic parts are symmetrically arranged. The invention realizes the unfolding or folding of the teaching curtain, which is convenient to use when unfolded, reduces space occupation when folded, and prevents the teaching curtain from being contaminated with dust. Curtain swinging caused by influences such as wind.

The invention relates to an artificial intelligence-based education interaction system, and the system comprises a user verification module which is used for verifying the identity of a user; a teaching end module which is connected with the user verification module and is used for recording and inputting teaching contents; a student end module which is connected with the teaching end module through an interaction module used for interaction and used for outputting teaching content, wherein the interaction module comprises a teaching interaction module and a teaching feedback module which are matched with each other, and the analysis module is connected with the teaching end module, the student end module and the interaction module. The control module is used for analyzing the teaching content, reading the student information stored in the storage module and controlling the number of times of teaching interaction according to the acquired data; and the storage module is respectively connected with the teaching end module, the student end module, the interaction module and the analysis module and is used for storing data. According to the invention, the corresponding teaching interaction times can be selected in a targeted manner, so that the learning efficiency of students is ensured, and the students can concentrate attention during learning through multiple teaching interactions.

The invention belongs to the field of artificial intelligence education technology, and discloses an artificial intelligence-based teaching system, computer equipment, and storage media. The artificial intelligence-based teaching system includes: a user identity registration and login module, a user level selection module, a central control module, a preliminary Evaluation module, learning weak point determination module, teaching module, image acquisition module, image analysis module, learning monitoring module, learning process scoring module, evaluation module, teaching evaluation module and teaching adjustment module. The present invention affects the face image information by obtaining the student's learning state, automatically determines the student's learning state according to the student's facial expression based on the preset artificial intelligence algorithm model; and determines the student's learning content according to the student's learning state and other information, so that the student Achieve convenient and efficient learning effects; conduct assessment and teaching quality evaluation for students' learning, and be able to carry out self-adaptive evaluation of teaching.

The invention discloses a novel artificial intelligence education interaction system. The system comprises a controller module, the controller module is connected with a cloud AI processor through a wif network module, the output end of the controller module is connected with a display module and an image recognition automatic obstacle avoidance module, and the output end of the image recognitionautomatic obstacle avoidance module is connected with a mobile module through a signal transmission module. According to the invention, when the system is used, parents can select two control modes ofmobile phone APP remote control and control panel close-range wireless control; the display can be automatically aligned with the eyes of the child, so the eyes of the child are prevented from beinginjured due to incorrect learning postures; the backlight adjusting module can be automatically controlled to adjust the backlight of the display module, the eyes of the child can be effectively protected, and the mobile module can respond in real time according to emergencies, so that the child can not collide with obstacles in the moving process, and the use of the system by the child is safer.

The embodiment of the present invention provides a hardware emulator for artificial intelligence education graphical programming software in primary and secondary schools, which adopts a combination of two methods of overall simulation and partial simulation, which is superior to the existing robot simulator that only performs overall simulation, but also Different from existing simulations of the same type. The combination of the overall and local simulation can provide primary and secondary school students with an intuitive overall display, and at the same time show the working effect of local hardware, so that students can more comprehensively understand the impact of each hardware on the robot when working. The working status and data information displayed by this simulation only meet the needs of the artificial intelligence education classroom, that is, to show the hardware facility interface information and the data obtained by work, but not to show the unnecessary detailed data on the hardware working principle level and the actual hardware. exchange of information. Therefore, it can solve the problem that the simulation mode of the current hardware emulator is not suitable for the artificial intelligence education classroom.

Overcoming the multi-headed teacher-led artificial intelligence educational robot, including: the example report step; the principle description modification step; the artificial intelligence code modification step; the artificial intelligence code replacement step. The above method, system and robot, based on deep learning and big data, conduct random checks on the learning assistance examples of artificial intelligence and report to the teacher. With a certain degree of freedom, the role and effect of artificial intelligence can continue to be played, and it also reduces the workload of teachers to supervise artificial intelligence. Moreover, teachers can directly intervene and improve the learning assistance process of artificial intelligence by modifying the principle description of artificial intelligence algorithms, which can greatly change the unhealthy status quo of artificial intelligence education, which is extremely important and far-reaching for the healthy development of artificial intelligence education.

The invention belongs to the field of artificial intelligence education, and in particular relates to a multi-dimensional visualized multi-source heterogeneous data multi-layer DRNN deep fusion method. The steps of the method include: step 1: establishing a DRNN neural network; inputting multi-source heterogeneous data into the DRNN neural network to form a DRNN training template; step 3: establishing the forward output of a single-layer neuron individual of the DRNN network; wherein the single-layer network serves as Activated fusion function; Step 4: Establish the weight reconstruction and correction of the DRNN network; the correction exists as a fusion function; Step 5: In the data fusion layer of the DRNN network, the feature output is obtained through data feature fusion. The present invention proposes a fusion framework, which can perform feature-level fusion for different multi-source heterogeneous data.

The invention discloses an artificial intelligence education and learning system combining software and hardware, including graphical programming software based on blockly secondary development, a hardware platform customized for artificial intelligence education, and a learning platform for saving user information and assisting teaching management; Graphical programming software includes graphical programming web-side programs and Python server-side programs. The present invention provides the saving and loading of a single function definition programming block, the display and hiding of the function definition body, and the function blocks that the user has spelled before can be loaded at any time when the project needs it, and the function is hidden during the graphical programming of complex programs. The body definition makes the programming area concise and the user experience is better; programming blocks can be automatically generated to facilitate the development of more artificial intelligence application cases on the system, and the scalability is strong; the python code generated by the software can be run directly through the interface buttons And set self-starting, which is convenient for students to create physical creative works.

The invention relates to the technical field of artificial intelligence education, and discloses an artificial intelligence educational robot with the function of removing obstacles. There are two movable grooves, the left and right side walls in the movable groove are equipped with limiting grooves that are opened inside the installation block, and the inside of the movable groove is movably connected with a movable rod that runs through the installation block and extends to the outside of the installation block. The artificial intelligence educational robot with the function of removing obstacles, through the movable rod, the buffer spring and the baffle, can play the role of buffering when the robot body encounters obstacles, and through the torsion spring, the fixed axis can be used as the force when the toggle block is stressed. The center of the circle rotates, thus playing a further buffering effect. Through a series of mechanical structures, the device can effectively buffer when the robot body encounters obstacles, avoiding damage to the robot body.

The invention discloses a video editing method for artificial intelligence education based on speech recognition. The method comprises the following steps: (1) inputting a teaching document and converting the teaching document into a script file which can be recognized by a system; (2) inputting an original teaching video material file, identifying an audio frame contained in the original teachingvideo material file, and identifying a target audio frame of which the voiceprint satisfies a preset condition; (3) comparing the video file subjected to voice recognition with a script file, and determining a video clip which does not conform to the teaching document and contains a target audio; (4) finding out and automatically deleting video clips which do not conform to the teaching documentin the video file subjected to voice recognition; (5) automatically rendering video clips including audio conforming to the teaching document, and synthesizing the video clips into a complete video; and (6) outputting the synthesized complete video. The invention also discloses a video editing system for artificial intelligence education based on speech recognition.