CN212846899U

CN212846899U - Classroom machine of registering based on face identification

Info

Publication number: CN212846899U
Application number: CN202021698097.5U
Authority: CN
Inventors: 关雪敏; 秦景良
Original assignee: Guangxi Normal University for Nationalities
Current assignee: Guangxi Normal University for Nationalities
Priority date: 2020-08-14
Filing date: 2020-08-14
Publication date: 2021-03-30
Anticipated expiration: 2030-08-14

Abstract

The utility model discloses a classroom attendance machine based on face recognition, which comprises a shell and a student radio frequency ID card; the surface of the shell is provided with a camera, a display screen, a controller and a radio frequency card reader; the radio frequency card reader is used for reading ID information of a student radio frequency ID card; a face recognition processing system, a check-in management system and an audio player are arranged in the shell; the face recognition processing system comprises an image acquisition module and a face recognition module; the face recognition module comprises an image segmentation module and a depth learning module; the check-in management system comprises a memory, an information matching module and a network module; the memory stores an association database of face information and ID information; the camera is connected with the image acquisition module; the face recognition module is connected with the image acquisition module. The utility model discloses can carry out the classroom through face identification and the combination of student's radio frequency ID card and sign in, prevent to cheat, sign in fast.

Description

Classroom machine of registering based on face identification

Technical Field

The utility model relates to a machine field is signed in the classroom, more specifically relates to a machine is signed in classroom based on face identification.

Background

Face recognition is a biometric technology for identity recognition based on facial feature information of a person. In recent years, domestic and foreign scholars begin to apply a deep learning method to image recognition and achieve excellent effects.

In open school mansions such as colleges and universities, a teacher calls a roll to confirm the attendance condition of students in class, the traditional calling mode wastes the time of class, and a lot of students who take the roll call allow the teacher to be incapable of correctly counting the attendance rate of the students, especially more classes of the students. The classroom check-in machine in the prior art has a single structure and a single function, students are easy to cheat and check in, and generally only one classroom can be provided with one classroom check-in machine; when the students are concentrated, the sign-in machine in a common classroom cannot meet the use requirement, and the sign-in speed is too low, so that a plurality of students cannot finish sign-in before class to influence the attendance rate.

SUMMERY OF THE UTILITY MODEL

An object of the utility model is to solve the technical problem who describes in the background art, provide one kind and can combine to carry out the classroom through face identification and student's radio frequency ID card and sign in, prevent to cheat, sign in quick classroom machine of registering.

In order to solve the problems, the classroom check-in machine based on face recognition is provided, and comprises a shell and a student radio frequency ID card; the surface of the shell is provided with a camera, a display screen, a controller and a radio frequency card reader; the radio frequency card reader is used for reading ID information of a student radio frequency ID card; a face recognition processing system, a check-in management system and an audio player are arranged in the shell; the face recognition processing system comprises an image acquisition module and a face recognition module; the face recognition module comprises an image segmentation module and a deep learning module; the check-in management system comprises a memory, an information matching module and a network module; the memory stores an association database of face information and ID information; the camera is connected with the image acquisition module; the face recognition module is connected with the image acquisition module; the display screen, the radio frequency card reader, the face recognition module, the memory, the information matching module and the network module are respectively and electrically connected with the controller.

In particular, the radio frequency card reader adopts an nRF24LEl chip.

Particularly, the display screen is a capacitive touch screen.

In particular, the network module is of type RJ 45.

Particularly, the camera is a high-definition wide-angle camera.

In particular, the controller adopts STM32F429IGT6 intelligent processing chip.

In particular, the memory is formed by an SDRAM chip.

Particularly, an audio player is further arranged in the shell; the audio player is connected with the controller.

The utility model has the advantages that:

the utility model discloses a camera can automatic acquisition contain the image or the video information of people's face, and show and confirm the face image information that face identification processing system handled at the display screen, sign in simultaneously that the people holds near the scanning of student's radio frequency ID card at radio frequency card reader, information matching module retrieval correlation database carries out the information matching and obtains the matching result to facial information and ID information, connect the internet through network module, with facial information, ID information and matching result transmission to backend server type and sign in and feed back the utility model discloses, save plenty of time and manpower, accomplish the classroom fast accurately and sign in, effectively prevent to cheat.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is an overall structure diagram of the embodiment of the present invention.

Fig. 2 is a schematic block diagram of a circuit according to an embodiment of the present invention.

In the figure: 1. a housing; 2. a display screen; 3. a radio frequency card reader; 4. an audio player; 5. a camera is provided.

Detailed Description

The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention can be more clearly and clearly defined.

As shown in fig. 1 and 2, the classroom check-in machine based on face recognition of the present embodiment includes a housing 1 and a student rf ID card; the surface of the shell 1 is provided with a camera 5, a display screen 2, a controller, an audio player 4 and a radio frequency card reader 3. The radio frequency card reader 3 is used for reading ID information of the student radio frequency ID card. A face recognition processing system, a check-in management system and an audio player 4 are arranged in the shell 1. The face recognition processing system comprises an image acquisition module and a face recognition module. The image acquisition module is used for acquiring image information of the video recorded by the camera 5. The face recognition module comprises an image segmentation module and a deep learning module. The image segmentation module is used for segmenting the outside of the face of the image information acquired by the image acquisition module and outputting the face information to the controller. The deep learning module is used for storing the facial information acquired by the image acquisition module to perform algorithm optimization, perfecting the facial information and feeding back, adjusting, segmenting and matching the facial information. The check-in management system comprises a memory, an information matching module and a network module. The memory stores an association database of face information and ID information. The camera 5 is connected with the image acquisition module. The face recognition module is connected with the image acquisition module. The display screen 2, the radio frequency card reader 3, the face recognition module, the memory, the information matching module, the audio player 4 and the network module are respectively and electrically connected with the controller. The radio frequency card reader 3 adopts an nRF24LEl chip. The display screen 2 is a capacitive touch screen. The model of the network module is RJ 45. The camera 5 is a high-definition wide-angle camera 5. The controller adopts STM32F429IGT6 intelligence processing chip. The memory is constituted by SDRAM chips.

The working principle and the using method of the embodiment of the utility model are as follows:

will the utility model discloses the embodiment switch on can use.

The person of registering gets into the scope of making a video recording of camera 5, and behind the face image information that 2 display screen show face identification processing system and handled, after 2 affirmations of display screen, hold student's radio frequency ID card near radio frequency card reader 3 scanning, the embodiment of the utility model provides a carry out information matching and obtain to match success or match these two kinds of matching results of failure to face information and ID information, the network module passes through the internet and transmits face information, ID information and matching result to backend server, and backend server will sign in success and sign in these two kinds of feedback information of failure and send back the controller. If the controller receives the feedback information of successful check-in, the audio player 4 plays the voice of successful check-in; if the controller receives the feedback information of the check-in failure, the audio player 4 plays the voice of 'check-in failure'.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, various changes and modifications can be made by the owner within the scope of the appended claims, and the protection scope of the present invention should not be exceeded by the claims.

Claims

1. The utility model provides a classroom machine of registering based on face identification which characterized in that: the student radio frequency ID card comprises a shell and a student radio frequency ID card; the surface of the shell is provided with a camera, a display screen, a controller and a radio frequency card reader; the radio frequency card reader is used for reading ID information of a student radio frequency ID card; a face recognition processing system, a check-in management system and an audio player are arranged in the shell; the face recognition processing system comprises an image acquisition module and a face recognition module; the face recognition module comprises an image segmentation module and a deep learning module; the check-in management system comprises a memory, an information matching module and a network module; the memory stores an association database of face information and ID information; the camera is connected with the image acquisition module; the face recognition module is connected with the image acquisition module; the display screen, the radio frequency card reader, the face recognition module, the memory, the information matching module and the network module are respectively and electrically connected with the controller.

2. The classroom check-in machine based on face recognition as recited in claim 1, wherein: the radio frequency card reader adopts an nRF24LEl chip.

3. The classroom check-in machine based on face recognition as recited in claim 1, wherein: the display screen is a capacitive touch screen.

4. The classroom check-in machine based on face recognition as recited in claim 1, wherein: the model of the network module is RJ 45.

5. The classroom check-in machine based on face recognition as recited in claim 1, wherein: the camera is high-definition wide-angle camera.

6. The classroom check-in machine based on face recognition as recited in claim 1, wherein: the controller adopts STM32F429IGT6 intelligence processing chip.

7. The classroom check-in machine based on face recognition as recited in claim 1, wherein: the memory is composed of SDRAM chips.

8. The classroom check-in machine based on face recognition as recited in claim 1, wherein: an audio player is also arranged in the shell; the audio player is connected with the controller.