Multimedia classroom article supervision device and system

Abstract

The invention provides a multimedia classroom article supervision device and system. The multimedia classroom article supervision device comprises a supporting part, a control part, a detection part and an early warning part, a control part is arranged on the side part of the supporting part, and the control part comprises a microcontroller, a wireless transmission unit and a USB (Universal Serial Bus) transmission unit; the detection part comprises a camera and a timer; the early warning part comprises an indicating lamp, an audible and visual alarm and a language broadcasting unit; the microcontroller is connected with the camera, the timer, the wireless transmission unit, the transmission unit, the indicating lamp, the audible and visual alarm and the voice broadcast unit. The timer starts the camera at regular time to obtain classroom article images and transmits the classroom article images to the microprocessor; the microprocessor determines the number and the positions of the articles in the classroom through an AI algorithm, and when the articles in the classroom are abnormal, the audible and visual alarm and the voice broadcast unit send out voice promotion and audible and visual alarm. According to the invention, through timed photo shooting, AI algorithm analysis and an intelligent alarm mechanism, high-efficiency supervision of articles and tools in a classroom is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of classroom item supervision equipment, and specifically to a multimedia classroom item supervision device and system. Background Art

[0002] In multimedia classrooms and high-efficiency laboratories, there are many and messy various items and tools, and the supervision of tools and items is particularly important; this is not only to reduce the losses of colleges and universities, but also to ensure the safety of experiments, and can also improve the quality and effect of experiments. For example, some equipment in multimedia classrooms is expensive, and the loss will not only cause data loss but also direct economic losses; in addition, some tools in laboratories (such as cutting tools, welding equipment, etc.) may cause physical injuries such as cuts and burns in case of improper operation; when using chemicals for experiments, if there is a lack of supervision, it may lead to dangerous situations such as poisoning and explosion; if electronic devices and electrical appliances are not operated according to specifications during use, it may cause fires or other electrical accidents.

[0003] The existing classroom item supervision generally relies on personnel inspection and registration, but it is not timely enough and not thorough enough. Therefore, a multimedia classroom item supervision device and system are designed; to solve the practical problems of scattered placement of teaching tools in multimedia classrooms, untimely troubleshooting, and difficult traceability of losses, and to improve the management efficiency and management quality of multimedia. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a multimedia classroom item supervision device and system, which can solve the existing problems.

[0005] In order to achieve the above purpose, the technical solution of the present invention is as follows:

[0006] The present invention is realized by the following technical solutions: A multimedia classroom item supervision device includes a support part, a control part, a detection part, and an early warning part;

[0007] The side of the support part is provided with a control part, and the control part includes a microcontroller, a wireless transmission unit, and a USB transmission unit;

[0008] The detection part includes a camera and a timer;

[0009] The early warning part includes an indicator light, an audible and visual alarm, and a voice broadcast unit;

[0010] The microcontroller is connected to a camera, a timer, a wireless transmission unit, a transmission unit, an indicator light, an audible and visual alarm, and a voice broadcast unit; the timer periodically turns on the camera to acquire images of classroom items and transmits them to the microprocessor; the microprocessor determines the quantity and location of classroom items through AI algorithms, and when abnormalities occur in classroom items, it issues voice prompts and audible and visual alarms through the audible and visual alarm and the voice broadcast unit.

[0011] Further, the support part includes two "L"-shaped support rods, and limiting grooves are formed on the opposite surfaces of the support rods; magnets are embedded and fixed at the bottom ends of the support rods, and mounting holes are formed on the surfaces of the support rods.

[0012] Further, the microcontroller and the wireless transmission unit are arranged inside the first housing, and the USB transmission unit is arranged on the surface of the first housing; the microcontroller includes an AI algorithm module and a storage module; a chute is arranged on the surface of the first housing.

[0013] Further, the AI algorithm module includes

[0014] A preprocessing unit for preprocessing the captured photos, including adjusting brightness, contrast, and denoising;

[0015] A model training unit that uses the preprocessed dataset to train the model and adjusts hyperparameters to optimize the model performance

[0016] A model evaluation unit for evaluating the model performance on the validation set;

[0017] A detection and recognition unit for using AI algorithms to detect and recognize mobile devices in images, including two parts: feature extraction and classification;

[0018] A comparison and matching unit for comparing and matching the current detection results with the preset stored standards or historical data.

[0019] Further, the indicator light, the audible and visual alarm, the voice broadcast unit, and the camera are arranged on the side of the second housing; the second housing is fixed to the top of the first housing, and a handle is rotatably connected to the side of the second housing.

[0020] Further, it further includes an RFID tag and an RFID reader, where the RFID tag is connected to the classroom items to be supervised, and the RFID reader is connected to the detection part; the RFID tag is connected to the RFID reader, and both the RFID tag and the RFID reader are connected to the microcontroller.

[0021] Further, the RFID tag includes an adhesive layer, a panel, a pressure sensor, an antenna, and a chip; the pressure sensor is provided on the back of the panel, and the adhesive layer is provided at the edge of the back of the panel; the antenna and the chip are provided inside the panel.

[0022] Further, it further includes a photoresistor sensor and a fill light, and the photoresistor sensor and the fill light are provided on the side of the second housing; and the photoresistor sensor and the fill light are connected to the microprocessor.

[0023] Further, it further includes a moving component, and the moving component includes moving wheels, legs, a first spring, a vertical plate, a top frame, a second spring, a locking rod, a moving block, and a bottom plate; both sides of the top frame extend outwards, and the extensions of the top frame are slidably connected to the sliding grooves; the extensions of the top frame are slidably connected to the locking rod, and locking holes are provided on the side walls of the sliding grooves; the locking rod is connected to the locking holes in a mating manner, and the locking rod is connected to the moving block; the two moving blocks are connected by a second spring; the bottom end of the top frame is connected to the bottom plate through a vertical plate, and two groups of opposite legs are slidably connected to the bottom end of the bottom plate; the two legs are connected by a first spring, and moving wheels are installed at the bottom ends of the legs.

[0024] A multimedia classroom item supervision system includes the above-mentioned device, and the device is connected to a computer through a wireless transmission unit or a USB transmission unit; the device is connected to a cloud control terminal through a wireless transmission unit.

[0025] Compared with the prior art, the beneficial effects of the present invention include:

[0026] The present invention realizes the efficient supervision of mobile devices (such as laptops, tablets, etc.) in the classroom through timed photo taking, AI algorithm analysis, and an intelligent alarm mechanism. When it is detected that the number of devices decreases or the position is abnormal, the system can notify relevant personnel in a timely manner and record the loss situation for tracking and processing.

[0027] The present invention realizes automated operation, reduces the burden of manual monitoring; the AI algorithm accurately identifies, reduces the false alarm rate; the timely alarm mechanism improves the device safety; detailed records of the device status are convenient for tracking and management. It can effectively improve the management efficiency of mobile devices in the classroom, ensure the safety of the devices, and reduce the occurrence of loss situations.

[0028] The device of the present invention is provided with an RFID tag and an RFID reader, and can further supervise the items in the classroom based on RFID identification technology, and can effectively give an early warning when the supervised item leaves a preset distance or the RFID tag leaves the supervised item.

[0029] The device of the present invention is convenient to move, can be lifted and rotated as required to ensure that the camera takes pictures at the closest angle, and is also convenient to install. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The disclosure of the present invention will be described with reference to the accompanying drawings. It should be understood that the drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In the drawings, the same reference numerals are used to refer to the same components. Among them:

[0031] Figure 1 is a schematic diagram of the overall structure of a multimedia classroom item supervision device of the present invention;

[0032] Figure 2 is a schematic diagram of the structure of the moving component in the embodiment of the present invention;

[0033] Figure 3 is a system block diagram of the device in the embodiment of the present invention;

[0034] Figure 4 is a system block diagram of the AI algorithm module in the embodiment of the present invention;

[0035] Figure 5 is a schematic diagram of the structure of the RFID tag in the embodiment of the present invention.

[0036] Explanation of the labels in the figure: 1. Moving component; 11. Moving wheel; 12. Leg; 13. First spring; 14. Vertical plate; 15. Top frame; 16. Second spring; 17. Locking rod; 18. Moving block; 19. Bottom plate; 2. Support rod; 21. Limiting groove; 22. Mounting hole; 3. Magnet; 4. First housing; 41. USB transmission unit; 42. Slide groove; 5. Locking bolt; 6. Second housing; 61. Indicator light; 62. Supplementary light; 63. Acoustic-optic alarm; 64. Camera; 7. Handle; 8. RFID tag; 81. Adhesive layer; 82. Panel; 83. Pressure sensor; 84. Antenna; 85. Chip. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] It is easy to understand that according to the technical solution of the present invention, without changing the essence of the present invention, those of ordinary skill in the art can propose various interchangeable structural forms and implementation methods. Therefore, the following detailed embodiments and the accompanying drawings are only illustrative descriptions of the technical solution of the present invention and should not be regarded as the whole of the present invention or as a limitation or restriction on the technical solution of the present invention.

[0038] The present invention provides a multimedia classroom item supervision device, as Figure 1 shown, including a support part, a control part, a detection part and an early warning part;

[0039] A control unit is provided on the side of the support part, and the control unit is constructed by ESP32; it includes a microcontroller, a wireless transmission unit, and a USB transmission unit 41; its system block diagram is as Figure 2 shown,

[0040] The detection part includes a camera 64 and a timer;

[0041] The warning part includes an indicator light 61, an audible and visual alarm 63, and a voice broadcast unit;

[0042] The microcontroller is connected to the camera 64, the timer, the wireless transmission unit, the transmission unit, the indicator light 61, the audible and visual alarm 63, and the voice broadcast unit; the timer regularly turns on the camera 64 to obtain images of classroom items and transmits them to the microprocessor; the microprocessor determines the quantity and position of classroom items through an AI algorithm, and when there is an abnormality in the classroom items, it issues a voice prompt and an audible and visual alarm through the audible and visual alarm 63 and the voice broadcast unit.

[0043] The support part includes two support rods 2 with an "L" - shaped structure, and limiting grooves 21 are provided on the opposite surfaces of the support rods 2; magnets 3 are embedded and fixed at the bottom ends of the support rods 2, and mounting holes 22 are provided on the surfaces of the support rods 2. When using the entire device, it can be fixed and placed through the mounting holes 22 or through the magnets 3.

[0044] The microcontroller and the wireless transmission unit are arranged inside the outer shell 4, and the USB transmission unit 41 is arranged on the surface of the outer shell 4; a sliding groove 42 is provided on the side of the outer shell 4, and a cylindrical structure on the side of the support rod 2 is inserted and slidably connected to the sliding groove 42, and the outer shell 4 and the support rod 2 are fixed by a locking bolt 5; the support rod 2 and the outer shell 4 can be rotated to a suitable angle and fixed by the locking bolt 5, and the overall height can be adjusted by moving the outer shell 4.

[0045] The microcontroller includes an AI algorithm module and a storage module. The block diagram of the AI algorithm module is as Figure 4 shown, and the AI algorithm module includes:

[0046] A pre - processing unit for pre - processing the taken photos, including adjusting brightness, contrast, and denoising;

[0047] A model training unit that uses the pre - processed data set to train the model and adjusts hyperparameters to optimize the model performance; the training model uses Faster R - CNN or YOLO;

[0048] A model evaluation unit for evaluating the model performance on the validation set;

[0049] The detection and recognition unit is used to detect and recognize mobile devices in images using AI algorithms, including two parts: feature extraction and classification;

[0050] The comparison and matching unit is used to compare and match the current detection results with preset stored standards or historical data.

[0051] The indicator light 61, the sound and light alarm 63, the voice broadcast unit, and the camera 64 are arranged on the side of the second housing 6; the second housing 6 is fixed to the top of the first housing 4, and a handle 7 is rotatably connected to the side of the second housing 6, where the handle 7 is used to move and carry the whole unit.

[0052] In order to further strengthen the supervision of classroom items; the device of the present invention further includes an RFID tag and an RFID reader, where the RFID tag is connected to the classroom items to be supervised, and the RFID reader is connected to the detection unit; the RFID tag is connected to the RFID reader, and the RFID tag and the RFID reader are connected to the microcontroller. The structure of the RFID tag is as Figure 5 shown. The RFID tag includes an adhesive layer 81, a panel 82, a pressure sensor 83, an antenna 84, and a chip 85; the pressure sensor 83 is provided on the back of the panel 82, and the adhesive layer 81 is provided at the back edge of the panel 82; the antenna 84 and the chip 85 are provided inside the panel 82. The entire RFID tag is adhered to the side of the classroom item to be supervised through the adhesive layer 81. After adhesion, the pressure sensor 83 can sense the pressure. By identifying the RFID tag through the RFID reader, it can be judged whether the item is in the classroom and its position in the classroom. Once the pressure sensor 83 senses that the pressure change exceeds the preset value when the RFID tag leaves the item supervised in the classroom, a warning is given through the indicator light 61, the sound and light alarm 63, and the voice broadcast unit.

[0053] In order to ensure that the captured images are clear, not affected by light, and further improve the reliability of supervision; the present invention further includes a photoresistor sensor and a fill light 62, the photoresistor sensor and the fill light 62 are arranged on the side of the second housing 6; and the photoresistor sensor and the fill light 62 are connected to the microprocessor. The brightness of the classroom is detected by the photoresistor sensor, and the light source is supplemented in time by the fill light 62.

[0054] In order to facilitate the movement of the whole unit; the present invention further includes a moving component 1, and the moving component 1 includes moving wheels 11, legs 12, spring one 13, vertical plate 14, top frame 15, spring two 16, locking rod 17, moving block 18, and bottom plate 19; as Figure 2As shown, both sides of the top frame 15 extend outward, and the extensions of the top frame 15 are slidably connected to the sliding grooves 42; the extensions of the top frame 15 are slidably connected to locking rods 17, and locking holes are provided on the side walls of the sliding grooves 42; the locking rods 17 are cooperatively connected to the locking holes, and the locking rods 17 are connected to moving blocks 18; two moving blocks 18 are connected by a second spring 16; the bottom end of the top frame 15 is connected to a bottom plate 19 through a vertical plate 14, and two groups of opposite legs 12 are slidably connected to the bottom end of the bottom plate 19; two legs 12 are connected by a first spring 13, and moving wheels 11 are installed at the bottom ends of the legs 12. When the whole needs to be moved, the moving blocks 18 are pressed, so that the two moving blocks 18 approach each other, compressing the second spring 16, and then the whole moving assembly 1 is moved downward. When moving downward, the moving wheels 11 move out from between the two support rods 2. Under the action of the first spring 13, the two legs 12 of the pair are pushed away from the ground; after reaching the appropriate position, the moving blocks 18 are released, so that the locking rods 17 enter the locking holes at the corresponding positions under the push of the second spring 16, completing the fixation in this state. At this time, the moving wheels 11 can be used to contact the ground for the overall movement.

[0055] The present invention also provides a multimedia classroom item supervision system, including the above-mentioned device. The device is connected to a computer through a wireless transmission unit or a USB transmission unit 41; the device is connected to a cloud control end through a wireless transmission unit.

[0056] The present invention mainly takes pictures or video streams at regular intervals through a camera installed in the classroom; uses a preprocessing unit to preprocess the collected images, including but not limited to grayscale conversion, denoising, contrast enhancement, etc., to improve the accuracy of subsequent analysis. A deep learning model (such as YOLO, Faster R-CNN or Mask R-CNN) is used to detect and segment target objects in the images. This step aims to identify all objects that may be regarded as mobile devices. Feature extraction extracts the features of each detected target object, and these features can be color, shape, texture, etc. These features are used to further confirm whether the object is a mobile device. Classification inputs the extracted features into a pre-trained classifier to judge whether each object belongs to the mobile device category. A convolutional neural network (CNN) or other deep learning models can be used for classification. Position and quantity statistics determine the position (coordinates) and quantity of each mobile device. Precise identification of the device position is achieved through computer vision techniques (such as template matching or deep learning-based methods). Missing device detection compares with a known device list to detect whether there are missing devices. It can be compared by establishing a reference database stored in the storage module to record the device quantity and position under normal circumstances.

[0057] If any abnormality in the number or location of devices is detected, immediately upload the relevant information to the cloud control terminal via the network. The uploaded data should include the time, location, and device information involved in the abnormal situation. Trigger the audible and visual alarm system to alert relevant personnel to the device abnormality. Issue a voice alarm through the voice prompt system to inform the specific problem (e.g., "An unauthorized device has been detected in the corner of the classroom. Please check immediately."). Record the results of each detection, including normal and abnormal detections. Generate regular reports for management to review the usage and maintenance requirements of classroom devices.

[0058] When the present invention is in use, first, perform the overall installation. Move the entire device to the place where it needs to be installed in the classroom. When moving, press the moving block 18 so that the two moving blocks 18 approach each other, compressing the second spring 16. Then move the entire moving component 1 downward. When moving downward, the moving wheel 11 moves out from between the two support rods 2. Under the action of the first spring 13, the two legs 12 of the pair are pushed away from the ground in contact. After reaching the appropriate position, release the moving block 18 so that the locking rod 17 enters the locking hole at the corresponding position under the push of the second spring 16 to complete the fixation in this state. At this time, the moving wheel 11 can be used to contact the ground for the overall movement. Then, pull the outer shell 1 4 according to the need to reach the appropriate height, and rotate the outer shell 1 4 to drive the outer shell 2 6 to synchronously rotate around the support rod 2 and penetrate into the cylindrical structure in the chute 42. After reaching the appropriate angle, lock it with the locking bolt 5.

[0059] Then, use the adhesive layer 81 to bond the entire RFID tag to the side of the classroom item to be supervised. After bonding, the pressure sensor 83 can sense the pressure.

[0060] During daily use, the timer regularly turns on the camera 64 to obtain images of classroom items and transmits them to the microprocessor. The microprocessor determines the quantity and location of classroom items through AI algorithms. When abnormalities occur in classroom items, a voice prompt and audible and visual alarms are issued through the audible and visual alarm 63 and the voice broadcast unit. At the same time, the RFID reader is used to identify the RFID tag to determine whether the item is in the classroom and its location in the classroom. Once the pressure sensor 83 senses that the pressure change of the RFID tag leaving the item supervised in the classroom exceeds the preset value, warnings are given through the indicator light 61, the audible and visual alarm 63, and the voice broadcast unit.

[0061] The present invention realizes the efficient supervision of mobile devices (such as laptops, tablets, etc.) in the classroom through regular photo shooting, AI algorithm analysis, and intelligent alarm mechanisms. When it is detected that the number of devices decreases or the location is abnormal, the system can promptly notify relevant personnel and record the loss situation for tracking and handling.

[0062] The device of the present invention is installed at key positions in the classroom. Set a timed shooting task to automatically take pictures of the interior of the classroom at regular intervals. Use image recognition technology to analyze the content of the pictures. Determine the number and specific locations of mobile devices in the classroom. Compare the pictures before and after to detect changes in the number of devices or changes in their positions. When a device is detected as lost or its position is abnormal, a voice prompt is issued through a built-in speaker. Trigger a change in lighting or an alarm sound as an auxiliary reminder. Upload relevant information to the cloud control terminal through the network. Collect and store data on device loss events. Provide a visual interface for management personnel to view the device status and historical records. Achieve real-time tracking and handling of lost devices.

[0063] The present invention realizes automated operation, reduces the burden of manual monitoring; the AI algorithm accurately identifies, reducing the false alarm rate; the timely alarm mechanism improves device security; detailed records of device status are convenient for tracking and management. It can effectively improve the management efficiency of mobile devices in the classroom, ensure device security, and reduce the occurrence of losses.

[0064] The device of the present invention is provided with RFID tags and RFID readers, and can further supervise the items in the classroom based on RFID identification technology, and can effectively give an early warning when the supervised items leave the preset distance or the RFID tags leave the supervised items.

[0065] The device of the present invention is easy to move, and can be lifted and rotated as needed to ensure that the camera takes pictures at the closest angle, and is also easy to install.

[0066] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by terms such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the drawings, and 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, and therefore should not be construed as a limitation of the present invention.

[0067] In the description of this patent, it should be noted that unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "set" should be understood in a broad sense. For example, it can be fixedly connected and set, or detachably connected and set, or integrally connected and set. For those of ordinary skill in the art, the specific meanings of the above terms in this patent can be understood according to specific circumstances.

[0068] In addition, the terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a number of" means two or more, unless otherwise specifically defined.

[0069] The technical scope of the present invention is not limited to the content in the above description. Those skilled in the art can make various deformations and modifications to the above embodiments without departing from the technical idea of the present invention, and these deformations and modifications should all fall within the protection scope of the present invention.

Claims

1. A multimedia classroom article monitoring device, characterized in that: It includes support part, control part, detection part and early warning part; A control unit is provided on the side of the support unit, and the control unit includes a microcontroller, a wireless transmission unit and a USB transmission unit; The detection unit includes a camera and a timer; The early warning unit includes an indicator light, an audible and visual alarm, and a language broadcast unit; The microcontroller is connected to a camera, a timer, a wireless transmission unit, a transmission unit, an indicator light, an audible and visual alarm, and a language broadcasting unit; the timer periodically turns on the camera to obtain images of classroom items and transmits them to the microprocessor; the microprocessor determines the quantity and location of classroom items through an AI algorithm, and when an abnormality occurs in a classroom item, a language enhancement and an audible and visual alarm are issued through the audible and visual alarm and the language broadcasting unit.

2. A multimedia classroom article monitoring device according to claim 1, characterized in that: The support part includes two support rods in an "L"-shaped structure, and limiting grooves are provided on opposite surfaces of the support rods; a magnet is embedded and fixed at the bottom end of the support rod, and a mounting hole is provided on the surface of the support rod.

3. A multimedia classroom article monitoring device according to claim 1, characterized in that: The microcontroller and the wireless transmission unit are arranged inside the shell one, and the USB transmission unit is arranged on the surface of the shell one; the microcontroller includes an AI algorithm module and a storage module; and a slide groove is arranged on the surface of the shell one.

4. A multimedia classroom article monitoring device according to claim 3, characterized in that: The AI ​​algorithm module includes: A pre-processing unit, used for pre-processing the captured photos, including adjusting brightness, contrast and denoising; Model training unit, using the preprocessed data set to train the model and adjust the hyperparameters to optimize the model performance Model evaluation unit, used to evaluate model performance on the validation set; The detection and recognition unit is used to detect and identify mobile devices in images using AI algorithms, including feature extraction and classification. The comparison and matching unit is used to compare and match the current detection result with the pre-set and stored standard or historical data.

5. The multimedia classroom article monitoring device according to claim 1 is characterized by: The indicator light, the sound and light alarm, the language broadcast unit and the camera are arranged on the side of the second shell; the second shell is fixed to the top of the first shell, and the side of the second shell is rotated and connected with a handle.

6. The multimedia classroom article monitoring device according to claim 1 is characterized by: It also includes an RFID tag and an RFID reader-writer, wherein the RFID tag is connected to classroom items that need to be supervised, and the RFID reader-writer is connected to the detection unit; the RFID tag is connected to the RFID reader-writer, and the RFID tag and the RFID reader-writer are connected to a microcontroller.

7. A multimedia classroom article monitoring device according to claim 6, characterized in that: The RFID tag comprises an adhesive layer, a panel, a pressure sensor, an antenna and a chip; the pressure sensor is arranged on the back of the panel, and an adhesive layer is arranged at the back edge of the panel; the antenna and the chip are arranged inside the panel.

8. The multimedia classroom article monitoring device according to claim 1 is characterized by: It also includes a photoresistor sensor and a fill light, which are arranged on the side of the second housing; and the photoresistor sensor and the fill light are connected to a microprocessor.

9. The multimedia classroom article monitoring device according to claim 3 is characterized by: It also includes a moving assembly, which includes moving wheels, legs, spring 1, vertical plate, top frame, spring 2, locking rod, moving block and bottom plate; the two sides of the top frame extend outward, and the extension of the top frame is slidably connected to the slide groove; the extension of the top frame is slidably connected to the locking rod, and the side wall of the slide groove is provided with a locking hole; the locking rod is matched and connected to the locking hole, and the locking rod is connected to the moving block; the two moving blocks are connected by spring 2; the bottom end of the top frame is connected to the bottom plate through the vertical plate, and the bottom end of the bottom plate is slidably connected with two groups of legs opposite to each other; the two legs are connected by spring 1, and the bottom ends of the legs are equipped with moving wheels.

10. A multimedia classroom article supervision system, comprising the device according to any one of claims 1 to 9, characterized in that: The device is connected to a computer via a wireless transmission unit or a USB transmission unit; the device is connected to a cloud control terminal via a wireless transmission unit.

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