Intelligent robot with learning supervision function

Abstract

The intelligent robot with the learning supervision function comprises an intelligent control system, a learning supervision system, a controller, a power module and a robot shell, the controller and the power module are both located in the robot shell, and the controller is connected with the intelligent control system, the learning supervision system and the power module. The intelligent control system and the learning supervision system are both located on the robot shell, the intelligent control system comprises a sitting posture detection module located on the robot shell, the sitting posture detection module is connected with the controller, and a WiFi module is arranged in the controller and connected with the cloud server. The system has the advantages that the functions of intelligently adjusting the learning environment of students, intelligently supervising the learning state of the students, remotely supervising parents and the like are realized, the problem of low learning efficiency caused by lack of learning supervision of the students is solved, and the system has the advantages of simplicity in use, complete functions, high practicability and the like.

Description

Technical Field

[0001] The utility model relates to the technical field of intelligent robots, in particular to an intelligent robot with a learning supervision function. Background Art

[0002] Research shows that the main reasons for low learning efficiency include the lack of self-monitoring ability of students and inadequate supervision by their parents. The lack of self-monitoring ability of students may be due to factors such as the lack of clear learning plans, poor learning habits, lack of parental supervision, and the influence of the learning environment. At present, most of the learning machines on the market have single functions, lacking guidance on students' learning habits, improvement of students' learning environment, supervision of students' learning status, and motivation for students' learning interests. At the same time, parents cannot understand students' learning status in time through learning machines, and cannot effectively supervise students' learning. Designing intelligent robots with learning supervision functions can greatly improve students' learning efficiency and improve their learning habits, and help parents effectively view and supervise students' learning status.

[0003] The utility model patent with the publication number CN210865164U discloses an educational robot, wherein a machine vision system is provided on the front side of the head, a speech recognition system, a speech playback system, a control mainboard and a power supply are provided in the head, a group of speech holes are provided on the front side of the head, a group of pronunciation holes are provided on the left and right sides of the head respectively, a data interface connected to the control mainboard is provided on the left side of the trunk, and a charging interface connected to the power supply is provided on the right side of the trunk; the machine vision system, the speech recognition system and the speech playback system are respectively connected to the control mainboard for communication, and the power supply is respectively supplied to the machine vision system, the speech recognition system, the speech playback system and the control mainboard. The advantages of this patent are: the sitting posture can be corrected during writing, and the pronunciation can be prompted and corrected during recitation, which greatly improves students' learning interest and learning efficiency. However, in this patent, the sitting posture is detected by a pressure sensor, and the detection accuracy is poor. The supervision effect is poor if it is only supervised by a robot, and parents cannot understand the students' learning situation in real time. Utility Model Content

[0004] In view of the technical problem that existing learning robots cannot monitor students' learning situation in real time, resulting in poor learning habits and low learning efficiency of students, the utility model proposes an intelligent robot with learning supervision function, which can realize functions such as intelligent adjustment of students' learning environment, intelligent supervision of students' learning status and remote supervision by parents. It has the advantages of simple use, complete functions and strong practicality.

[0005] In order to achieve the above object, the technical solution of the utility model is implemented as follows:

[0006] An intelligent robot with a learning supervision function comprises an intelligent control system, a learning supervision system, a controller, a power module and a robot shell, wherein the controller and the power module are both located inside the robot shell, the controller is connected to the intelligent control system, the learning supervision system and the power module respectively, and the intelligent control system and the learning supervision system are both located on the robot shell, the intelligent control system comprises a sitting posture detection module, the sitting posture detection module is located on the robot shell, the sitting posture detection module is connected to the controller, the controller has a built-in WiFi module, and the WiFi module is connected to a cloud server.

[0007] Furthermore, the sitting posture detection module includes a single-chip microcomputer and a first camera, the single-chip microcomputer is connected to the controller, the first camera is connected to the single-chip microcomputer, and the single-chip microcomputer and the first camera are both installed on the robot housing.

[0008] Furthermore, the power module includes a battery and a battery slot, the battery slot is installed on the robot housing, the battery is installed in the battery slot, and the battery is connected to the controller.

[0009] Furthermore, the intelligent control system also includes a light detection module, a human infrared sensing module, a temperature detection module and a light module, the light detection module, the human infrared sensing module, the temperature detection module and the light module are all connected to the controller, and the light detection module, the human infrared sensing module, the temperature detection module and the light module are all located on the robot shell.

[0010] Furthermore, the light detection module includes a light sensor, the light module includes a lighting lamp, the light sensor and the lighting lamp are both connected to the controller, and the light sensor and the lighting lamp are both located on the front of the robot shell.

[0011] Furthermore, the human infrared sensing module includes a human infrared sensor, the temperature detection module includes a temperature sensor, both the human infrared sensor and the temperature sensor are connected to the controller, and both the human infrared sensor and the temperature sensor are located on the robot housing.

[0012] Furthermore, the learning supervision system includes a remote supervision module, a voice broadcast module, a display module and a reward module, and the remote supervision module, the voice broadcast module, the display module and the reward module are all connected to the controller.

[0013] Furthermore, the remote monitoring module includes a second camera, the voice broadcast module includes a voice player, the second camera and the voice player are both connected to the controller, and the second camera and the voice player are both located on the front of the robot shell.

[0014] Furthermore, the display module includes a liquid crystal display screen, which is located on the front of the robot housing and is connected to the controller.

[0015] Furthermore, the reward module includes a steering gear and a prize box, the steering gear is connected to the controller, the prize box is connected to the steering gear, and the prize box contains a prize.

[0016] Beneficial effects of the utility model:

[0017] 1. The utility model detects the sitting posture of students through a single-chip microcomputer combined with an open source computer vision library and an integrated posture recognition algorithm, determines whether the sitting posture of students is abnormal, and reminds students to develop good study habits.

[0018] 2. Display students' study plans and to-do items through the LCD screen, remind students to handle study items through the voice playback module, and guide students to learn to make reasonable study plans.

[0019] 3. The utility model includes a reward module, and students will receive prizes after completing their learning tasks, which is conducive to stimulating students' interest in learning.

[0020] 4. The controller uploads the learning information to the parent’s mobile phone through the built-in WiFi module via the cloud server, so that parents can understand the student’s learning situation in a timely manner.

[0021] 5. The utility model meets the current needs of students who want to improve their learning efficiency, conforms to market demand, has a simple structure, and is suitable for mass production. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a front structural schematic diagram of the utility model.

[0024] Figure 2 It is a schematic diagram of the back structure of the utility model.

[0025] Figure 3 This is a principle block diagram of the utility model.

[0026] Among them, 1 is a light detection module, 2 is a lighting module, 3 is a sitting posture detection module, 4 is a remote supervision module, 5 is a temperature detection module, 6 is a voice broadcast module, 7 is a controller, 8 is a display module, 9 is a human infrared sensing module, 10 is a reward module, and 11 is a power module. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0028] An intelligent robot with learning supervision function, such as Figure 1 and Figure 2 As shown, it includes an intelligent control system, a learning supervision system, a controller 7, a power module 11 and a robot shell. The robot shell includes a head, a trunk and limbs. The robot controller 7 is located inside the robot shell. The controller 7 is connected to the intelligent control system, the learning supervision system and the power module 11 respectively. The controller 7 is used to centrally control other devices. The controller 7 has a built-in WiFi module, which is connected to the cloud server. The controller 7 is used to process and collect information collected by other modules and upload it to the cloud server through the WiFi module. The model of the controller here is STM32F407ZGT6, as shown in FIG. Figure 2 As shown, the power module 11 is located at the rear side of the robot shell and at the rear side of the head of the robot shell. The power module 11 includes a battery and a battery slot. The battery is a lithium battery. The lithium battery can be installed in the battery slot set on the back of the robot shell. The lithium battery is connected to the controller 7. The lithium battery provides a stable power supply for the controller 7. The lithium battery supplies power to other modules through the controller 7. The intelligent control system and the learning supervision system are both located on the robot shell. The intelligent control system is mainly used for information collection, and the learning supervision system is mainly used for feedback and remote supervision of the collected information. The intelligent control system includes a sitting posture detection module 3 located at the left eye of the robot shell. The sitting posture detection module 3 includes a single-chip microcomputer, which is connected to the controller 7. The single-chip microcomputer has a built-in camera. The single-chip microcomputer is deployed with the OpenCV computer vision library and the MediaPipe gesture recognition algorithm integrated with MediaPipe, which can perform reasoning and recognition on the human sitting posture image to determine whether the sitting posture is abnormal. The built-in camera of the microcontroller can be used to take photos of the sitting posture of the human body and obtain the sitting posture image of the human body. The obtained sitting posture image of the human body is combined with the MediaPipe gesture recognition algorithm deployed in the microcontroller by the OpenCV open source computer vision library and MediaPipe to infer the positions of key points such as the human head, shoulders and neck, and detect whether the student's sitting posture is abnormal. The microcontroller used here is Raspberry Pi, and the model of Raspberry Pi is RASPBERRYPIZERO. The camera of the Raspberry Pi takes photos of the sitting posture of the human body to obtain the sitting posture image of the human body, and the human body sitting posture image is analyzed by combining the machine learning algorithm to determine whether the sitting posture of the human body is abnormal.

[0029] Specifically, the intelligent control system also includes a light detection module 1, a human infrared sensing module 9, a light module 2 and a temperature detection module 5, which are respectively located on the robot shell. The light detection module 1, the human infrared sensing module 9, the light module 2 and the temperature detection module 5 are all connected to the controller for data exchange.

[0030] Specifically, the light detection module 1 is located at the top of the robot shell, and the light detection module 1 includes a light sensor of model LXD7506, which is used to detect the light intensity of the surrounding learning environment. The human infrared sensing module 9 is located at the neck of the robot shell, and the human infrared sensing module 9 includes a human infrared sensor of model HC-SR501, which is used to detect the position of the human body. The light module 2 is located at the ears of the robot shell, and the light module 2 includes an OLED lamp, which is used to adjust the brightness of the environment and improve the learning environment. The light detection module 1, the light module 2, the human infrared sensing module 9 and the controller 7 are combined. When the light sensor detects that the ambient brightness is weak and the human infrared sensor detects that the human body is approaching, the OLED lamp automatically turns on to improve the ambient brightness, so as to provide a bright learning environment for students. The temperature detection module 5 is located at the nose of the robot shell, and the temperature detection module 5 includes a temperature sensor of model DHT11, which is used to collect the temperature of the learning environment, so that students can understand the learning environment information in time. Among them, the light sensor, the human infrared sensor, the OLED lamp and the temperature sensor are all connected to the controller 7 for data exchange.

[0031] Specifically, the learning supervision system includes a remote supervision module 4, a voice broadcast module 6, a display module 8 and a reward module 10 respectively located on the robot shell. The remote supervision module 4, the voice broadcast module 6, the display module 8 and the reward module 10 are all connected to the controller 7 for data interaction.

[0032] Specifically, the remote monitoring module 4 is located at the right eye of the robot shell, and the remote monitoring module 4 includes a high-definition camera of model ESP32-CAM. After the parents use the mobile phone to connect to the cloud server, they can view the student learning pictures taken by the high-definition camera in real time, supervise the student learning, and remotely view the student's learning status. The voice broadcast module 6 is located at the cheek of the robot shell, and the voice broadcast module 6 includes a voice player of model ASR-PRO. The voice player can remind students to pay attention to their sitting posture and the learning affairs and learning plans to be performed, thereby guiding students to develop good learning habits. The display module 8 is located at the mouth of the robot shell, and the display module 8 includes a liquid crystal display of model LCD1602. The liquid crystal display can visualize the information so that students can view learning affairs. The liquid crystal display can display information such as the current ambient temperature, learning plan, pending learning affairs, weather and time, thereby guiding students to plan their learning plans reasonably. The reward module 10 is located at the arm of the robot shell, and the reward module 10 includes a prize box and a servo of model SG90, the servo is connected to the prize box, the servo is connected to the controller 7, and the prize box is located in the arm of the robot shell for storing prizes. The steering gear can be rotated to launch prizes to reward students. After the students complete the study plan, they are given prizes to stimulate their learning interest. Wherein the high-definition camera, voice player, LCD display and steering gear are all connected to the controller 7 for data exchange.

[0033] The specific working process is as follows:

[0034] When the illumination detection module 1 detects that the ambient brightness is low or the human infrared sensing module 9 detects that a human is approaching, the controller 7 improves the ambient brightness by controlling the illumination module 2. In the sitting posture detection module 3, the camera in the Raspberry Pi takes a picture of the sitting posture of the human body to obtain a sitting posture image of the human body. The Raspberry Pi combines the obtained sitting posture image of the human body with the MediaPipe gesture recognition algorithm integrated by the OpenCV open source computer vision library and MediaPipe deployed in the Raspberry Pi to analyze the sitting posture image of the human body and determine whether the sitting posture of the human body is abnormal. When the sitting posture is abnormal, the controller 7 receives the information from the Raspberry Pi and sends a signal to the voice broadcast module 6. The voice player in the voice broadcast module 6 reminds the student to pay attention to the sitting posture. The high-definition camera in the remote monitoring module 4 captures real-time video information and sends the real-time video information to the controller 7. The controller 7 is connected to the cloud server through the built-in WiFi module. Parents use their mobile phones to access the cloud server and can remotely view the student's learning status. The temperature sensor in the temperature detection module 5 collects ambient temperature information and sends the ambient temperature information to the controller 7. The liquid crystal display in the display module 8 displays the learning plan formulated by the student, the learning affairs to be completed, the ambient temperature and time and other information. Then the controller 7 controls the voice player in the voice broadcast module 6 to remind the student to execute the learning plan and learning affairs. The parents check whether the student has completed the learning plan and learning affairs through the remote monitoring module 4. If the student has completed the learning plan and learning affairs, the controller 7 controls the steering gear in the reward module 10 to start and push out the prepared prizes. The power module 11 is connected to the controller 7 to power the controller 7. The power module 11 powers other modules connected to the controller 7 through the controller 7. The controller 7 summarizes the information collected by other modules and uploads it to the cloud through the WiFi module.

[0035] Students set up study plans and pending study tasks through the display module 8, and the human infrared sensing module 5 and the sitting posture detection module 3 detect whether the students are ready to study. When the students are ready to study, the display module 8 displays the study plan and pending study tasks, and at the same time, the voice broadcast module 6 broadcasts the study tasks to remind students to study according to the study plan, thereby effectively guiding students to make study plans.

[0036] When a student sits in front of the robot to study, the sitting posture detection module 3 placed on the left eye of the robot detects the student's sitting posture. When it detects that the student's sitting posture is abnormal, the controller 7 sends a signal to the voice broadcast module 6. After receiving the signal, the voice broadcast module 6 sends a voice broadcast to remind the student to pay attention to his sitting posture, thereby effectively guiding the student to develop good study habits.

[0037] When the student completes the study plan, the controller 7 sends a signal to the reward module 10. After receiving the signal, the reward module 10 launches a prize to reward the student, thereby greatly arousing the student's interest.

[0038] When parents are busy with work or do not have time to personally supervise their children's learning, they can remotely view the students' learning status in real time through the high-definition camera in the robot's right eye, thereby supervising their learning in a timely manner.

[0039] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent robot with learning supervision function, characterized in that: The robot comprises an intelligent control system, a learning supervision system, a controller (7), a power module (11) and a robot shell, wherein the controller (7) and the power module (11) are both located inside the robot shell, the controller (7) is connected to the intelligent control system, the learning supervision system and the power module (11) respectively, and the intelligent control system and the learning supervision system are both located on the robot shell, the intelligent control system comprises a sitting posture detection module (3), the sitting posture detection module (3) is located on the robot shell, the sitting posture detection module (3) is connected to the controller (7), and the controller (7) has a built-in WiFi module, which is connected to a cloud server.

2. The intelligent robot with learning supervision function according to claim 1, characterized in that: The sitting posture detection module (3) comprises a single-chip microcomputer and a first camera, the single-chip microcomputer is connected to the controller (7), the first camera is connected to the single-chip microcomputer, and the single-chip microcomputer and the first camera are both mounted on the robot housing.

3. The intelligent robot with learning supervision function according to claim 2, characterized in that: The power module (11) comprises a battery and a battery slot, the battery slot is mounted on the robot housing, the battery is mounted in the battery slot, and the battery is connected to the controller (7).

4. The intelligent robot with learning supervision function according to claim 3 is characterized in that: The intelligent control system further comprises a light detection module (1), a human infrared sensing module (9), a temperature detection module (5) and a light module (2); the light detection module (1), the human infrared sensing module (9), the temperature detection module (5) and the light module (2) are all connected to the controller (7); and the light detection module (1), the human infrared sensing module (9), the temperature detection module (5) and the light module (2) are all located on the robot housing.

5. The intelligent robot with learning supervision function according to claim 4, characterized in that: The light detection module (1) comprises a light sensor, and the light module (2) comprises a lighting lamp. Both the light sensor and the lighting lamp are connected to a controller (7), and both the light sensor and the lighting lamp are located on the front part of the robot housing.

6. The intelligent robot with learning supervision function according to claim 5, characterized in that: The human infrared sensing module (9) comprises a human infrared sensor, and the temperature detection module (5) comprises a temperature sensor. Both the human infrared sensor and the temperature sensor are connected to the controller (7), and both the human infrared sensor and the temperature sensor are located on the robot housing.

7. The intelligent robot with learning supervision function according to any one of claims 1 to 6, characterized in that: The learning supervision system comprises a remote supervision module (4), a voice broadcast module (6), a display module (8) and a reward module (10), wherein the remote supervision module (4), the voice broadcast module (6), the display module (8) and the reward module (10) are all connected to a controller (7).

8. The intelligent robot with learning supervision function according to claim 7, characterized in that: The remote monitoring module (4) includes a second camera, the voice broadcast module (6) includes a voice player, the second camera and the voice player are both connected to the controller (7), and the second camera and the voice player are both located on the front part of the robot housing.

9. The intelligent robot with learning supervision function according to claim 8, characterized in that: The display module (8) comprises a liquid crystal display screen, which is located on the front part of the robot housing and is connected to the controller (7).

10. The intelligent robot with learning supervision function according to claim 9, characterized in that: The reward module (10) comprises a steering gear and a prize box, the steering gear is connected to the controller (7), the prize box is connected to the steering gear, and a prize is arranged in the prize box.

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