Artificial intelligence homework correcting device

Abstract

The invention relates to the technical field of artificial intelligence application, in particular to an artificial intelligence homework correcting device which comprises a shell, a control panel is mounted on the side wall of the shell, and a placement table is fixedly connected to the bottom in the shell; a sliding plate is connected into the shell through an adjusting mechanism, an image collecting assembly is fixedly connected to the lower end of the sliding plate and comprises a high-definition camera and a light supplementing module, the high-definition camera is used for collecting image information of an operation page, and the light supplementing module is used for providing auxiliary illumination when light is insufficient. And the definition of image acquisition is ensured. According to the invention, complete and clear collection of homework images under different sizes of homework, different shooting angles and different light environments can be realized, the influence of homework paper quality, writing standard degree and ambient light on a correction result is reduced, and the adaptability and reliability of the device are improved.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence application technology, and specifically to an artificial intelligence-based homework correction device. Background Technology

[0002] In the teaching and learning process, homework correction is an important part of teachers’ understanding of students’ learning progress and adjustment of teaching strategies. Traditional homework correction methods rely on teachers to complete the work manually, which not only consumes a lot of time and energy, but also, especially when there are many students in the class, teachers often face a heavy workload of correction, resulting in a long homework feedback cycle and an inability to provide students with timely and targeted learning guidance.

[0003] With the support of current internet and artificial intelligence technologies, various homework correction devices or homework correction aids have emerged. However, these devices are mostly large-scale equipment, mainly serving large-scale exams, and lack equipment for individual use in actual teaching. This makes the homework correction burden on teachers still heavy in daily teaching, and the homework correction efficiency is low, which in turn affects the improvement of homework correction quality. Summary of the Invention

[0004] The purpose of this invention is to solve the problems existing in the prior art by proposing an artificial intelligence homework correction device.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] An artificial intelligence-based homework grading device includes:

[0007] The housing has a control panel mounted on its side wall and a placement platform fixedly connected to the bottom of the housing.

[0008] A sliding plate is connected inside the housing via an adjustment mechanism. An image acquisition component is fixedly connected to the lower end of the sliding plate. The image acquisition component includes a high-definition camera and a supplementary light module. The high-definition camera is used to acquire image information of the work page, and the supplementary light module is used to provide auxiliary lighting when the light is insufficient to ensure the clarity of the image acquisition.

[0009] The lower end of the skateboard is fixedly connected to a work correction device, and the lower end of the work correction device is equipped with a correction pen.

[0010] The housing is equipped with a clamping mechanism for clamping the test papers on the placement table.

[0011] Preferably, the adjustment mechanism includes a first plate fixedly connected to the inner sidewall of the housing. Two electric slide rails are fixedly connected to the sidewall of the first plate. A first wedge frame is slidably connected to the sidewall of the two electric slide rails. A slider is slidably connected to the inner wall of the first wedge frame. A first electric lead screw assembly is installed on the inner wall of the first wedge frame. The sidewall of the slider is threadedly connected to the sidewall of the first electric lead screw assembly. A second wedge frame is fixedly connected to the sidewall of the slider. The sidewall of the slide plate is slidably connected to the inner wall of the second wedge frame. A second electric lead screw assembly is installed on the inner wall of the second wedge frame. The sidewall of the slide plate is threadedly connected to the sidewall of the second electric lead screw assembly.

[0012] Preferably, the clamping mechanism includes two clamping plates located on both sides above the placement platform. Two rectangular rods are slidably connected to the side walls of each clamping plate. The lower ends of the four rectangular rods are uniformly fixed to the bottom of the housing. The lower ends of the two clamping plates are elastically connected to the bottom of the housing through multiple springs.

[0013] Preferably, a U-shaped pull plate is fixedly connected to the upper end of both clamps.

[0014] Preferably, the control panel integrates an artificial intelligence grading module, a data storage module, and a communication module, and the image acquisition component and the job grader are electrically connected to the control panel via wires.

[0015] Preferably, the AI-based grading module includes an image preprocessing unit, a question recognition unit, an answer matching unit, and a subjective question scoring unit. The image preprocessing unit performs noise reduction, grayscale conversion, and tilt correction on the acquired homework images to improve image quality. The question recognition unit, based on OCR technology and a deep learning model, identifies the question type, question number, and corresponding answer area in the homework. The answer matching unit compares the student's answers to objective questions with preset standard answers to achieve automatic grading of objective questions. The subjective question scoring unit, based on a pre-trained natural language processing model, comprehensively scores subjective questions from dimensions such as the completeness of the answer content, logical coherence, and language standardization, and generates grading comments.

[0016] Preferably, the data storage module is used to store the collected homework images, grading results, standard answer library, student information, and learning analysis data. The data storage module is equipped with a learning analysis module, which is used to calculate the error rate, weak points, and performance trend of students in each knowledge point based on the homework grading results, generate personalized learning reports, and send the learning reports to the teacher terminal and student terminal through the communication module to provide targeted reference for teachers' teaching and students' learning.

[0017] Preferably, the communication module includes a wired communication unit and a wireless communication unit. The wired communication unit establishes a connection with an external terminal device through a network interface, and the wireless communication unit achieves wireless communication with the mobile terminal via WiFi, Bluetooth, or other methods for data transmission and interaction.

[0018] Compared with existing technologies, the advantages of this invention are:

[0019] 1. The device is equipped with an adjustment mechanism and image acquisition components, which can achieve complete and clear acquisition of work images of different sizes, shooting angles and lighting conditions. This reduces the impact of work paper quality, writing standardization and ambient light on the grading results, and improves the adaptability and reliability of the device.

[0020] 2. The assignment grading can be completed in a small enclosure, allowing teachers to operate at home, avoiding the need for large equipment in existing technologies and improving the quality of assignment grading. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the structure of an artificial intelligence-based homework correction device proposed in this invention;

[0022] Figure 2 for Figure 1 A schematic diagram of the vertical sectional structure;

[0023] Figure 3 for Figure 1 Schematic diagram of the central adjustment mechanism;

[0024] Figure 4 for Figure 2 Enlarged structural diagram at point A;

[0025] Figure 5 for Figure 1 A schematic diagram of the rear view structure.

[0026] In the diagram: 1. Housing; 2. Control panel; 3. Placement platform; 4. First plate; 5. Electric slide rail; 6. First wedge frame; 7. Slider; 8. First electric lead screw assembly; 9. Second wedge frame; 10. Slide plate; 11. Second electric lead screw assembly; 12. Image acquisition assembly; 13. Job correction device; 14. Correction pen; 15. Wire; 16. Rectangular rod; 17. Clamping plate; 18. Spring; 19. U-shaped pull plate. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Reference Figures 1-5 An artificial intelligence-based homework correction device includes a housing 1, a control panel 2 installed on the side wall of the housing 1, and a placement platform 3 fixedly connected to the bottom of the housing 1.

[0029] Inside the housing 1, a sliding plate 10 is connected via an adjustment mechanism. An image acquisition component 12 is fixedly connected to the lower end of the sliding plate 10. The image acquisition component 12 includes a high-definition camera and a supplementary light module. The high-definition camera is used to acquire image information of the work page, and the supplementary light module is used to provide auxiliary lighting when the light is insufficient to ensure the clarity of the image acquisition.

[0030] A homework corrector 13 is fixedly connected to the lower end of the slide plate 10. A correction pen 14 is installed at the lower end of the homework corrector 13. The homework corrector 13 can control the correction pen 14 to draw checkmarks and crosses.

[0031] The adjustment mechanism includes a first plate 4 fixedly connected to the inner wall of the housing 1. Two electric slide rails 5 are fixedly connected to the side wall of the first plate 4. A first wedge frame 6 is slidably connected to the side wall of the two electric slide rails 5. A slider 7 is slidably connected to the inner wall of the first wedge frame 6. A first electric screw assembly 8 is installed on the inner wall of the first wedge frame 6. The side wall of the slider 7 is threadedly connected to the side wall of the first electric screw assembly 8. A second wedge frame 9 is fixedly connected to the side wall of the slider 7. The side wall of the slide plate 10 is slidably connected to the inner wall of the second wedge frame 9. A second electric screw assembly 11 is installed on the inner wall of the second wedge frame 9. The side wall of the slide plate 10 is threadedly connected to the side wall of the second electric screw assembly 11.

[0032] The device is equipped with an adjustment mechanism, an image acquisition component 12, and a work correction device 13. These components can move along the X, Y, and Z axes, enabling complete and clear acquisition of work images of different sizes, shooting angles, and lighting conditions. This reduces the impact of paper quality, writing standards, and ambient light on the correction results, and improves the adaptability and reliability of the device.

[0033] The housing 1 is equipped with a clamping mechanism for clamping the test papers on the placement platform 3. The clamping mechanism includes two clamping plates 17, which are located on both sides above the placement platform 3. Two rectangular rods 16 are slidably connected to the side walls of the two clamping plates 17. The lower ends of the four rectangular rods 16 are evenly fixed to the bottom of the housing 1. The lower ends of the two clamping plates 17 are elastically connected to the bottom of the housing 1 through multiple springs 18. This can clamp the work and prevent the work from moving due to the friction of the marking pen 14 during the marking process.

[0034] Both clamping plates 17 are fixedly connected to the upper ends of U-shaped pull plates 19.

[0035] The control panel 2 integrates an artificial intelligence grading module, a data storage module, and a communication module. The image acquisition component 12 and the job grader 13 are both electrically connected to the control panel 2 via wires 15.

[0036] The AI-powered grading module includes an image preprocessing unit, a question recognition unit, an answer matching unit, and a subjective question scoring unit. The image preprocessing unit performs noise reduction, grayscale conversion, and tilt correction on the acquired homework images to improve image quality. The question recognition unit, based on OCR technology and a deep learning model, identifies the question type, question number, and corresponding answer area in the homework. The answer matching unit compares the student's answers to objective questions with preset standard answers to achieve automatic grading of objective questions. The subjective question scoring unit, based on a pre-trained natural language processing model, comprehensively scores subjective questions from dimensions such as the completeness of the answer content, logical coherence, and language standardization, and generates grading comments.

[0037] The data storage module is used to store collected homework images, grading results, standard answer library, student information, and learning analysis data. The data storage module has a learning analysis module, which is used to calculate the error rate, weak points, and performance trend of students in each knowledge point based on the homework grading results, generate personalized learning reports, and send the learning reports to the teacher terminal and student terminal through the communication module to provide targeted reference for teachers' teaching and students' learning.

[0038] The communication module includes a wired communication unit and a wireless communication unit. The wired communication unit establishes a connection with external terminal devices through a network interface, while the wireless communication unit realizes wireless communication with mobile terminals through WiFi, Bluetooth, and other methods for data transmission and interaction.

[0039] In this invention, the teacher pulls the two U-shaped pull plates 19 upwards, causing the two clamping plates 17 to move downwards. Then, the homework to be corrected is placed flat on the placement table 3, with the edge of the homework located below the two clamping plates 17. Then, the teacher slowly releases the two U-shaped pull plates 19. At this time, the two clamping plates 17, under the elastic force of multiple springs 18, press the homework only onto the placement table 3, fixing the position of the homework.

[0040] The teacher can then control the adjustment mechanism to move. Specifically, adjusting the two electric slide rails 3 can move the first wedge frame 6 in the Z-axis direction, adjusting the first electric lead screw assembly 8 can move the slider 7 and the second wedge frame 9 in the Y-axis direction, and adjusting the second electric lead screw assembly 11 can move the slide plate 10 in the X-axis direction. This can move the image acquisition assembly 12 and the homework corrector 13 along the X, Y, and Z axes, enabling complete and clear acquisition of homework images of different sizes, different shooting angles, and different lighting conditions. This reduces the impact of homework paper quality, writing standardization, and ambient light on the correction results, and improves the adaptability and reliability of the device.

[0041] When the image acquisition component 12 captures the correct or incorrect answer, the control panel 2 controls the homework grader 13 via the wire 15, so that the homework grader 13 controls the correction pen 14 to draw checkmarks and crosses.

[0042] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An artificial intelligence-based homework correction device, characterized in that, include: A housing (1) is provided with a control panel (2) installed on the side wall of the housing (1), and a placement platform (3) is fixedly connected to the bottom of the housing (1). The shell (1) is connected to a sliding plate (10) through an adjustment mechanism. The lower end of the sliding plate (10) is fixedly connected to an image acquisition component (12). The image acquisition component (12) includes a high-definition camera and a supplementary light module. The high-definition camera is used to acquire image information of the work page, and the supplementary light module is used to provide auxiliary lighting when the light is insufficient to ensure the clarity of the image acquisition. The lower end of the slide plate (10) is fixedly connected to a work correction device (13), and a correction pen (14) is installed at the lower end of the work correction device (13). The housing (1) is provided with a clamping mechanism for clamping the test papers on the placement platform (3).

2. The artificial intelligence homework correction device according to claim 1, characterized in that, The adjustment mechanism includes a first plate (4) fixedly connected to the inner side wall of the housing (1). Two electric slide rails (5) are fixedly connected to the side wall of the first plate (4). The side walls of the two electric slide rails (5) are slidably connected to a first wedge frame (6). A slider (7) is slidably connected to the inner wall of the first wedge frame (6). A first electric screw assembly (8) is installed on the inner wall of the first wedge frame (6). The side wall of the slider (7) is threadedly connected to the side wall of the first electric screw assembly (8). A second wedge frame (9) is fixedly connected to the side wall of the slider (7). The side wall of the slide plate (10) is slidably connected to the inner wall of the second wedge frame (9). A second electric screw assembly (11) is installed on the inner wall of the second wedge frame (9). The side wall of the slide plate (10) is threadedly connected to the side wall of the second electric screw assembly (11).

3. The artificial intelligence-based homework correction device according to claim 1, characterized in that, The clamping mechanism includes two clamping plates (17), which are located on both sides above the placement platform (3). Two rectangular rods (16) are slidably connected to the side walls of the two clamping plates (17). The lower ends of the four rectangular rods (16) are uniformly fixedly connected to the bottom of the housing (1). The lower ends of the two clamping plates (17) are elastically connected to the bottom of the housing (1) through multiple springs (18).

4. The artificial intelligence homework correction device according to claim 3, characterized in that, Both clamps (17) are fixedly connected to the upper ends of U-shaped pull plates (19).

5. The artificial intelligence-based homework correction device according to claim 1, characterized in that, The control panel (2) integrates an artificial intelligence correction module, a data storage module and a communication module. The image acquisition component (12) and the job correction device (13) are electrically connected to the control panel (2) via wires (15).

6. The artificial intelligence-based homework correction device according to claim 5, characterized in that, The AI-powered grading module includes an image preprocessing unit, a question recognition unit, an answer matching unit, and a subjective question scoring unit. The image preprocessing unit performs noise reduction, grayscale conversion, and tilt correction on the acquired homework images to improve image quality. The question recognition unit, based on OCR technology and a deep learning model, identifies the question type, question number, and corresponding answer area in the homework. The answer matching unit compares student answers to objective questions with preset standard answers to achieve automatic grading of objective questions. The subjective question scoring unit, based on a pre-trained natural language processing model, comprehensively scores subjective questions from dimensions such as the completeness of the answer content, logical coherence, and language standardization, and generates grading comments.

7. The artificial intelligence-based homework correction device according to claim 5, characterized in that, The data storage module is used to store collected homework images, grading results, standard answer database, student information, and learning analysis data. The data storage module has a learning analysis module, which is used to calculate the error rate, weak points, and performance trends of students in each knowledge point based on the homework grading results, generate personalized learning reports, and send the learning reports to the teacher's terminal and the student's terminal through the communication module, providing targeted reference for teachers' teaching and students' learning.

8. The artificial intelligence homework correction device according to claim 5, characterized in that, The communication module includes a wired communication unit and a wireless communication unit. The wired communication unit establishes a connection with an external terminal device through a network interface, and the wireless communication unit realizes wireless communication with the mobile terminal through WiFi, Bluetooth, or other means for data transmission and interaction.

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