CN210038806U - Student classroom comprehensive evaluation system based on face recognition - Google Patents
Student classroom comprehensive evaluation system based on face recognition Download PDFInfo
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- CN210038806U CN210038806U CN201822030643.7U CN201822030643U CN210038806U CN 210038806 U CN210038806 U CN 210038806U CN 201822030643 U CN201822030643 U CN 201822030643U CN 210038806 U CN210038806 U CN 210038806U
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Abstract
The utility model discloses a student classroom comprehensive evaluation system based on face identification, student's image information on this system passes through the image acquisition unit collection classroom, image information who gathers image acquisition unit through the image processing unit carries out image preprocessing and image feature extraction to obtain characteristic data, output matching result data after searching for the matching through the characteristic template of storage in characteristic data and the database obtains the student and goes upward for the record in the classroom, last central processing will match result data transfer to remote service terminal again, remote service terminal is to receiving matching result data and statistics student action's frequency and generating the report form, the evaluators of can also being convenient for can evaluate the teaching quality of course according to student action frequency. In addition, the system is also provided with a clock unit and a camera trigger unit, and the camera trigger unit can be controlled to start the image acquisition unit to work in a classroom time period according to preset working time in the working process, so that the aim of saving energy can be achieved.
Description
Technical Field
The utility model relates to a student classroom synthesizes evaluation system based on face identification.
Background
With the development of science and technology, the electronic multimedia teaching market has a growing space which is larger and larger, and the parents pay more and more attention to the basic education of children, and the electronic multimedia technology is mature in application. The classroom teaching process is a multi-factor interaction and changeable dynamic process, and under the information technology environment, the teaching process is more diverse and uncertain, and particularly, the implementation of a new course standard needs to make great changes on the teaching concept and the teaching method. However, to fully reflect that students are the main body rather than the technical basis, the teaching needs are followed, and the development needs of the students are met by actually starting from the students.
However, the assessment of the classroom teaching effect can effectively provide directional guidance for classroom teaching, so that a teacher can adaptively change a teaching method according to the classroom listening effect of students, the interaction between a teacher and the students is improved, and the communication and the interaction between the teacher and the students are realized.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a student classroom synthesizes evaluation system based on face identification, this system go upward at the classroom through face identification technique to the student and carry out the discernment record to further make things convenient for the evaluateing personnel to assess the teaching quality of course through student's action.
In order to solve the technical problem, the utility model provides a student classroom synthesizes evaluation system based on face identification, including image acquisition unit, image processing unit, central processing unit and the remote service terminal that connects gradually, respectively with clock unit and the memory that central processing unit connects, and the lining is connected camera trigger unit between central processing unit and the image acquisition unit.
Further, the image acquisition unit comprises at least one first camera and at least one second camera; the image processing unit includes a face recognition processor connected to the first camera and a motion capture processor connected to the second camera.
Further, the camera trigger unit comprises a first trigger connected with the central processing unit, and a camera driver connected with the first trigger and used for driving the first camera and the second camera.
Further, the system further comprises a teacher terminal and/or a parent terminal respectively connected with the remote service terminal.
Further, the system also comprises a light sensor and a second trigger which are respectively connected with the central processing unit, and an illuminating lamp driving circuit which is connected with the second trigger and is used for driving an intelligent illuminating lamp in a classroom.
Further, the system also comprises a power-off alarm unit connected with the central processing unit.
Further, a relay processor is connected between the central processing unit and the remote service terminal.
Further, the relay processor is in communication connection with the central processing unit through the first ZigBee communication unit and the remote service terminal through the second ZigBee communication unit.
Further, the central processing unit may adopt an MCU.
The utility model has the advantages that: the utility model discloses an image acquisition unit gathers student's image information in the classroom, image information through the image processing unit to image acquisition unit collection carries out image preprocessing and image feature extraction and obtains characteristic data, the characteristic template through storage in characteristic data and the database is searched for and is matchd the back output and match result data and obtain the student and go upward for the record in the classroom, last central processing again with matching result data transfer to remote service terminal, remote service terminal is to receiving the frequency of matching result data and statistics student's action and generate the teaching quality of report form so that the evaluators appraise the course according to student's action frequency. In addition, the system is also provided with a clock unit and a camera trigger unit, and the camera trigger unit can be controlled to start the image acquisition unit to work in a classroom time period according to preset working time in the working process, so that the aim of saving energy can be achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram of an embodiment of the present invention.
Detailed Description
The comprehensive student classroom evaluation system based on face recognition shown in fig. 1 comprises an image acquisition unit, an image processing unit, a central processing unit, a remote service terminal, a clock unit and a memory which are connected with the central processing unit respectively, and a camera trigger unit connected between the central processing unit and the image acquisition unit.
The system acquires image information of students in a classroom through an image acquisition unit, image preprocessing and image feature extraction are carried out on the image information acquired by the image acquisition unit through an image processing unit to obtain feature data, matching result data are output after the feature data are searched and matched with feature templates stored in a database to obtain the ascending record of the students in the classroom, finally, central processing transmits the matching result data to a remote service terminal, and the remote service terminal receives the matching result data, counts the frequency of student behaviors and generates a report so that an evaluator can evaluate the teaching quality of a course according to the student behavior frequency. In addition, the system is also provided with a clock unit and a camera trigger unit, and the camera trigger unit can be controlled to start the image acquisition unit to work in a classroom time period according to preset working time in the working process, so that the aim of saving energy can be achieved.
According to an embodiment of the application, the image acquisition unit comprises at least one first camera and at least one second camera; the image processing unit includes a face recognition processor connected to the first camera and a motion capture processor connected to the second camera. By processing the face recognition and the motion capture separately, the working efficiency can be improved, and the workload of the processor can be reduced.
According to one embodiment of the present application, the camera triggering unit includes a first trigger connected to the central processor, and a camera driver connected to the first trigger for driving the first camera and the second camera. The central processing unit can control the first trigger to trigger the camera driver to drive the first camera and the second camera to work according to the clock signal given by the clock unit.
According to one embodiment of the application, the system further comprises a teacher terminal and/or a parent terminal respectively connected with the remote service terminal. The teacher terminal and the parent terminal can be mobile phones, IPADs or personal computers, and the like, and the evaluator can send the teaching quality of the obtained student behavior frequency evaluation course to the teacher and/or the parents through the remote service terminal.
According to one embodiment of the application, the system further comprises a light sensation sensor and a second trigger which are respectively connected with the central processing unit, and an illuminating lamp driving circuit which is connected with the second trigger and used for driving the intelligent illuminating lamp in the classroom.
According to one embodiment of the application, the system further comprises a power-off alarm unit connected with the central processor. The power failure alarm unit consists of a power failure detection module, a built-in battery and a power failure alarm host; when the power supply is cut off (power cut), the mobile phone card arranged in the power cut alarm is used for sending a short message and dialing to a person on duty, and after receiving the call and the short message, a person receiving an alarm can determine where the power is cut off (power cut), so that the purpose that the person is immediately informed of the power supply failure of the equipment is achieved, and the power supply failure is timely processed.
According to one embodiment of the application, a relay processor is further connected between the central processor and the remote service terminal. The relay processor is beneficial to uploading and sending data of classrooms or schools in the designated area, and management is convenient.
According to one embodiment of the application, the relay processor is in communication connection with the central processing unit through the first ZigBee communication unit and the remote service terminal through the second ZigBee communication unit. The ZigBee communication has the characteristics of low complexity, self-organization, low power consumption and low data rate, and the whole power consumption of the system is reduced by adopting the ZigBee communication.
According to an embodiment of the present application, the central processing Unit may employ an MCU (micro controller Unit).
Finally, the present invention may be implemented by using computer software, which is common software in the industry. The utility model does not relate to the improvement of computer software, and the computer software who uses does not belong to the technical content that the utility model will protect yet.
Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art will understand that the present invention can be modified or replaced with other embodiments without departing from the spirit and scope of the present invention, which should be construed as limited only by the appended claims.
Claims (5)
1. A student classroom comprehensive assessment system based on face recognition is characterized by comprising an image acquisition unit, an image processing unit, a central processing unit and a remote service terminal which are sequentially connected, a clock unit, a storage and a power-off alarm unit which are respectively connected with the central processing unit, a camera trigger unit connected between the central processing unit and the image acquisition unit, and a teacher terminal and a parent terminal which are respectively connected with the remote service terminal; the image acquisition unit comprises at least one first camera and at least one second camera; the image processing unit comprises a face recognition processor connected with the first camera and a motion capture processor connected with the second camera; the camera trigger unit comprises a first trigger connected with the central processing unit and a camera driver connected with the first trigger and used for driving the first camera and the second camera.
2. The comprehensive evaluation system for class of students based on face recognition as claimed in claim 1, further comprising a light sensor and a second trigger respectively connected to the central processor, and a lighting lamp driving circuit connected to the second trigger for driving an intelligent lighting lamp in classroom.
3. The comprehensive evaluation system for student class based on face recognition as claimed in claim 2, wherein a relay processor is further connected between the central processor and the remote service terminal.
4. The student classroom comprehensive assessment system based on face recognition according to claim 3, wherein the relay processor is in communication connection with a central processing unit through a first ZigBee communication unit and a remote service terminal through a second ZigBee communication unit.
5. The comprehensive evaluation system for class of student based on face recognition as claimed in claim 4, wherein the central processor can adopt MCU.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201822030643.7U CN210038806U (en) | 2018-12-04 | 2018-12-04 | Student classroom comprehensive evaluation system based on face recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201822030643.7U CN210038806U (en) | 2018-12-04 | 2018-12-04 | Student classroom comprehensive evaluation system based on face recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN210038806U true CN210038806U (en) | 2020-02-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201822030643.7U Active CN210038806U (en) | 2018-12-04 | 2018-12-04 | Student classroom comprehensive evaluation system based on face recognition |
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| Country | Link |
|---|---|
| CN (1) | CN210038806U (en) |
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2018
- 2018-12-04 CN CN201822030643.7U patent/CN210038806U/en active Active
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