CN209842639U - Classroom learning efficiency analysis system - Google Patents
Classroom learning efficiency analysis system Download PDFInfo
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- CN209842639U CN209842639U CN201920628428.9U CN201920628428U CN209842639U CN 209842639 U CN209842639 U CN 209842639U CN 201920628428 U CN201920628428 U CN 201920628428U CN 209842639 U CN209842639 U CN 209842639U
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Abstract
The utility model discloses a classroom learning efficiency analysis system, which comprises a plurality of detection modules and a main control box which are arranged in a classroom, wherein the detection modules are electrically connected with the main control box; the detection module comprises a high-definition camera and a heat release infrared detector, the main control box comprises a shell, and an image acquisition module, an infrared spectrum signal acquisition module, a facial expression recognition module, a human body action form recognition module, an information storage module, an algorithm processing module, a curriculum schedule module, a control module, a short message sending module and a power supply module are arranged in the shell. The system can monitor the classroom learning efficiency of students, and send the classroom learning efficiency of the students obtained by the system and the data such as main problems of the students in class to teachers in any class through the short message module, so that the teaching of teachers giving lessons can be timely known and improved.
Description
Technical Field
The utility model relates to a classroom learning efficiency analytic system.
Background
Generally, the study on the classroom learning effect of the students is judged through post-class work, a series of examinations and the like, but the methods have corresponding uncertainty, and the learning state and the learning efficiency of the students in the classroom cannot be obtained. In addition, how to deeply know the interest degree of students in different courses or different knowledge points of the same course and how to master and compare classroom effect information such as teaching effects of different teachers on the same course, a great deal of research and work is carried out by a plurality of research institutions and staff. In general, basic data in these research works are mainly performed by means of spot check questioning, questionnaire investigation, observation in the classroom by teachers or teaching supervisors, subjective statistics and the like, and the method has the disadvantages of high randomness, high subjectivity, low accuracy, complex statistical process and low efficiency.
The Chinese patent with the application number of CN201520879502.6 discloses comprehensive evaluation equipment for classroom performance of students, which comprises a main body, a face recognition device, a monitoring device and a warning device; the main body is made of the existing desk and comprises a desktop, side plates, a bottom plate, a back plate, supporting legs and a control transmission device; the face recognition device is arranged at one corner of the table top and embedded into the table; the monitoring device comprises an optical monitoring board, a signal monitor and a volume monitor; the warning device is arranged on the desktop; the face recognition device and the monitoring device are both connected with the warning device and the control transmission device. The device is made into a main body by adopting the existing desk, the conditions of attendance and sitting in accordance with regulations of students are inspected by the face recognition device, the classroom performance of the students is monitored by the monitoring device, and when the classroom performance of the students is poor, the warning device gives a warning. However, the device needs to be android to the desk of each student, not only occupies excessive space resources and is high in cost, but also is installed on the desk of each student and inevitably affects the learning state of the student. In addition, the study state and the study efficiency of the students in the classroom can not be effectively monitored.
SUMMERY OF THE UTILITY MODEL
The utility model aims at the not enough of prior art, provide classroom learning efficiency analytic system for monitor student's classroom learning efficiency.
In order to achieve the above object, the utility model discloses a following scheme realizes: the classroom learning efficiency analysis system comprises a plurality of detection modules and a main control box which are arranged in a classroom, wherein the detection modules are electrically connected with the main control box;
the detection module comprises a high-definition camera and a pyroelectric infrared detector, and the high-definition camera is used for capturing image information of students in class; the pyroelectric infrared detector is used for detecting human body infrared radiation information;
the main control box comprises a shell, wherein an image acquisition module, an infrared spectrum signal acquisition module, a facial expression recognition module, a human body action form recognition module, an information storage module, an algorithm processing module, a curriculum schedule module, a control module, a short message sending module and a power supply module are arranged in the shell.
The input end of the image acquisition module is electrically connected with the high-definition camera and is used for acquiring image information transmitted by the high-definition camera in real time, the output end of the image acquisition module is electrically connected with the facial expression recognition module, and the facial expression recognition module is electrically connected with the control module;
the input end of the infrared spectrum signal acquisition module is electrically connected with the pyroelectric infrared detector and is used for acquiring infrared radiation information transmitted by the pyroelectric infrared detector in real time, the output end of the infrared spectrum signal acquisition module is electrically connected with the human body action form recognition module, and the human body action form recognition module is electrically connected with the control module;
the information storage module is electrically connected with the control module and is used for storing the recognized facial expression information and human body action information;
the algorithm processing module is electrically connected with the control module and is used for calculating the learning efficiency of students;
the short message sending module is electrically connected with the controller module and is used for sending the obtained data of the classroom learning efficiency of the students to the teachers in the class;
the control module is electrically connected with the output end of the curriculum schedule module and is used for receiving a student school schedule.
The image acquisition module, the infrared spectrum signal acquisition module, the facial expression recognition module, the human body action form recognition module, the information storage module, the algorithm processing module, the curriculum schedule module, the control module and the short message sending module are respectively and electrically connected with the power supply module.
The curriculum schedule module is connected with the upper computer through the network card module and used for receiving the information of the student schedule and the teacher from the upper computer.
The number of the detection modules is four.
The front end of the pyroelectric infrared detector is provided with a Fresnel lens.
The utility model has the advantages that: the structure is reasonable, and the facial expressions and the action forms of students can be more clearly and accurately identified by the high-definition camera and the partition of the pyroelectric infrared detector;
combining facial expression recognition and human body action form recognition to serve as a data source of a student classroom learning efficiency algorithm, so that a calculation result is reliable;
the data of the classroom learning efficiency of the students, the main problems of the students in class and the like obtained by the system are sent to teachers in any class through the short message module, and help is provided for teachers giving lessons to timely know and improve own teaching.
Drawings
The invention will be further explained with reference to the drawings:
fig. 1 is a schematic view of the system scene layout of the present invention.
Fig. 2 is a schematic view of the internal structure of the main control box.
Wherein: the system comprises a 1-first-zone high-definition camera and a heat-release infrared detector, a 2-second-zone high-definition camera and a heat-release infrared detector, a 3-third-zone high-definition camera and a heat-release infrared detector, a 4-fourth-zone high-definition camera and a heat-release infrared detector, a 5-main control box, a 6-main control box wire inlet, a 7-image acquisition module, an 8-infrared spectrum signal acquisition module, a 9-human facial expression recognition module, a 10-human body action form recognition module, an 11-information storage module, a 12-algorithm processing module, a 13-curriculum schedule module, a 14-control module, a 15-detection module, a 16-short message sending module, a 17-power module, an 18-network card module and a 19-shell.
Detailed Description
As shown in fig. 1, the classroom learning efficiency analysis system comprises a plurality of detection modules 15 and a main control box 5, wherein the detection modules 15 are arranged in a classroom, and the main control box 5 is electrically connected with the detection modules 15;
the detection module 15 comprises a high-definition camera and a pyroelectric infrared detector, and the high-definition camera is used for capturing image information of students in class; the pyroelectric infrared detector is used for detecting human body infrared radiation information;
the main control box 5 comprises a shell 19, wherein an image acquisition module 7, an infrared spectrum signal acquisition module 8, a facial expression recognition module 9, a human body action form recognition module 10, an information storage module 11, an algorithm processing module 12, a curriculum schedule module 13, a control module 14, a short message sending module 16 and a power supply module 17 are arranged in the shell 19.
The input end of the image acquisition module 7 is electrically connected with the high-definition camera and is used for acquiring image information transmitted by the high-definition camera in real time, the output end of the image acquisition module 7 is electrically connected with the facial expression recognition module 9, and the facial expression recognition module 9 is electrically connected with the control module 14;
the input end of the infrared spectrum signal acquisition module 8 is electrically connected with the pyroelectric infrared detector and is used for acquiring infrared radiation information transmitted by the pyroelectric infrared detector in real time, the output end of the infrared spectrum signal acquisition module 8 is electrically connected with the human body action form recognition module 10, and the human body action form recognition module 10 is electrically connected with the control module 14;
the information storage module 11 is electrically connected with the control module 14 and is used for storing the recognized facial expression information and human body action information;
the algorithm processing module 12 is electrically connected with the control module 14 and is used for calculating the learning efficiency of students;
the short message sending module 16 is electrically connected with the controller module and is used for sending the obtained data of the classroom learning efficiency of the students to the teachers in the class;
the control module 14 is electrically connected with the output end of the curriculum schedule module 13 and is used for receiving a student schedule.
The image acquisition module 7, the infrared spectrum signal acquisition module 8, the facial expression recognition module 9, the human body action form recognition module 10, the information storage module 11, the algorithm processing module 12, the curriculum schedule module 13, the control module 14 and the short message sending module 16 are respectively and electrically connected with the power supply module 17.
A network card module 18 is arranged in the shell 19, and the curriculum schedule module 13 is connected with an upper computer through the network card module 18 and used for receiving the information of the student schoollists and the lecture teachers transmitted from the upper computer.
The number of the detection modules 15 is four. As shown in fig. 1, the detection modules 15 are installed in four areas of a classroom to monitor the state of a student in class from various angles. Student image information that the four parts high definition digtal camera caught and the human infrared radiation information that four parts were disposed the heat of fei nieer lens and are released the human infrared radiation information that infrared detector detected and pass to the master control box through the electric wire.
The front end of the pyroelectric infrared detector is provided with a Fresnel lens. The fresnel lens functions in 2 ways: firstly, human body radiation is converged on the sensitive surface of the pyroelectric infrared detector, so that the detection range of the detector is expanded; and secondly, by utilizing the discontinuous optical transmission characteristic among all the tiny lenses in the lens, the infrared radiation signal which is dynamically changed and is emitted to the surface of the detector by a person is ensured.
When a new school period begins, the information of the student class schedule and the mobile phone number of a teacher is transmitted to the class schedule module 13 through the network card module 18 by the upper computer; when the class time is up, the pyroelectric infrared detector, the high-definition camera and the image acquisition module 7 and the infrared spectrum signal acquisition module 8 in the main control box 5 are started, the high-definition camera captures class image information of students in real time, and the pyroelectric infrared detector detects infrared radiation information of human bodies in real time; the image acquisition module 7 is used for acquiring image information transmitted by the high-definition camera in real time, and the infrared spectrum signal acquisition module 8 is used for acquiring infrared radiation information transmitted by the pyroelectric infrared detector; the facial expression recognition module 9 and the human body action form recognition module 10 recognize facial expressions and human body actions, and the information storage module 11 stores the recognized facial expression information and human body action information of the whole class; the algorithm processing module 12 calculates the learning efficiency of the student in the class, and the short message sending module 16 sends the obtained learning efficiency of the student in the class and the main problems of the student in class to the teachers in the class.
The basic principle of human body action recognition of Pyroelectric Infrared (PIR) information is that infrared radiation emitted by a moving human body contains characteristic information related to human body action forms, and the information can be effectively detected by a pyroelectric infrared sensor and corresponding analog signals are output. By analyzing and processing the analog signal, the characteristic information of the human body in different motion states can be extracted, so that the aim of classifying and identifying different motions of the human body is fulfilled.
Example (b):
the image acquisition module 7 adopts an image acquisition module based on FPGA.
The infrared spectrum signal acquisition module 8 adopts an ECON-16-N3 sensor signal acquisition module of Korean FALINK.
The high-definition camera adopts a USB camera with the model of RER-USB3MP03H of Ruercy.
The pyroelectric infrared detector adopts a pyroelectric infrared detector based on a pyroelectric infrared sensor RE200B and a Fresnel lens 8001-1.
The facial expression recognition module 9 adopts a facial expression recognition software module based on an Baidu AI face detection and analysis system.
The human body action form recognition module 10 adopts a human body action form recognition software module based on an Baidu AI human body analysis system.
The information storage module 11 adopts a Campbell CF card module with the model number CFM 100.
The algorithm processing module 12 adopts an FPGA chip EP2S90F1508C3 of Stratix II series of Altera corporation.
The curriculum schedule module 13 adopts a curriculum schedule module based on the microcontroller STM32F107VCT 6. The controller module 14 employs an STM32F107VCT6 monolithic chip in ST/Italian.
The short message sending module 16 adopts a G100 short message module for jiemean communication.
The power module 17 adopts Guangzhou Aipu electronic ac/dc power module WA3-220S05A3, and inputs voltage: 85-265Vac, output voltage: 5,9,12,24, ± 5, ± 9, ± 12, ± 24 Vdc.
The network card module 18 adopts TG-3269C/TG-3269E 1000M adaptive PCI/PCI-E desktop gigabit network card of TP-Link.
Claims (6)
1. Classroom learning efficiency analytic system, its characterized in that: the teaching instrument comprises a plurality of detection modules (15) and a main control box (5) which are arranged in a classroom, wherein the detection modules (15) are electrically connected with the main control box (5);
the detection module (15) comprises a high-definition camera and a pyroelectric infrared detector, and the high-definition camera is used for capturing image information of students in class; the pyroelectric infrared detector is used for detecting human body infrared radiation information;
the main control box (5) comprises a shell (19), wherein an image acquisition module (7), an infrared spectrum signal acquisition module (8), a facial expression recognition module (9), a human body action form recognition module (10), an information storage module (11), an algorithm processing module (12), a curriculum schedule module (13), a control module (14), a short message sending module (16) and a power supply module (17) are arranged in the shell (19).
2. The classroom learning efficiency analysis system of claim 1, wherein: the input end of the image acquisition module (7) is electrically connected with the high-definition camera and is used for acquiring image information transmitted by the high-definition camera in real time, the output end of the image acquisition module (7) is electrically connected with the facial expression recognition module (9), and the facial expression recognition module (9) is electrically connected with the control module (14);
the input end of the infrared spectrum signal acquisition module (8) is electrically connected with the pyroelectric infrared detector and is used for acquiring infrared radiation information transmitted by the pyroelectric infrared detector in real time, the output end of the infrared spectrum signal acquisition module (8) is electrically connected with the human body action form recognition module (10), and the human body action form recognition module (10) is electrically connected with the control module (14);
the information storage module (11) is electrically connected with the control module (14) and is used for storing the recognized facial expression information and human body action information;
the algorithm processing module (12) is electrically connected with the control module (14) and is used for calculating the learning efficiency of students;
the short message sending module (16) is electrically connected with the controller module and is used for sending the obtained data of the class learning efficiency of the students to the teachers in the class;
the control module (14) is electrically connected with the output end of the curriculum schedule module (13) and is used for receiving a student school schedule.
3. The classroom learning efficiency analysis system of claim 1, wherein: the image acquisition module (7), the infrared spectrum signal acquisition module (8), the human face expression recognition module (9), the human body action form recognition module (10), the information storage module (11), the algorithm processing module (12), the curriculum schedule module (13), the control module (14) and the short message sending module (16) are respectively and electrically connected with the power supply module (17).
4. The classroom learning efficiency analysis system of claim 1, wherein: the curriculum schedule system is characterized in that a network card module (18) is arranged in the shell (19), and the curriculum schedule module (13) is connected with the upper computer through the network card module (18) and used for receiving the information of the student class schedules and the lecture teachers transmitted by the upper computer.
5. The classroom learning efficiency analysis system of claim 1, wherein: the number of the detection modules (15) is four.
6. The classroom learning efficiency analysis system of claim 1, wherein: the front end of the pyroelectric infrared detector is provided with a Fresnel lens.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920628428.9U CN209842639U (en) | 2019-05-05 | 2019-05-05 | Classroom learning efficiency analysis system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201920628428.9U CN209842639U (en) | 2019-05-05 | 2019-05-05 | Classroom learning efficiency analysis system |
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| CN209842639U true CN209842639U (en) | 2019-12-24 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111243354A (en) * | 2020-03-12 | 2020-06-05 | 江苏安全技术职业学院 | Multi-functional college english teaching management system |
| CN111882305A (en) * | 2020-05-09 | 2020-11-03 | 北京文香信息技术有限公司 | Behavior analysis device and behavior monitoring analysis system |
| CN112923972A (en) * | 2021-01-27 | 2021-06-08 | 苏州凌世智能科技有限公司 | Operation monitoring method, bracelet and user side |
| CN113382163A (en) * | 2021-05-18 | 2021-09-10 | 岭南师范学院 | Autistic child behavior capturing system based on infrared thermal image tracking |
-
2019
- 2019-05-05 CN CN201920628428.9U patent/CN209842639U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111243354A (en) * | 2020-03-12 | 2020-06-05 | 江苏安全技术职业学院 | Multi-functional college english teaching management system |
| CN111882305A (en) * | 2020-05-09 | 2020-11-03 | 北京文香信息技术有限公司 | Behavior analysis device and behavior monitoring analysis system |
| CN112923972A (en) * | 2021-01-27 | 2021-06-08 | 苏州凌世智能科技有限公司 | Operation monitoring method, bracelet and user side |
| CN113382163A (en) * | 2021-05-18 | 2021-09-10 | 岭南师范学院 | Autistic child behavior capturing system based on infrared thermal image tracking |
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