CN111414834A - Face recognition roll calling method and face recognition roll calling system - Google Patents
Face recognition roll calling method and face recognition roll calling system Download PDFInfo
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Abstract
The invention provides a facial recognition roll calling method, which is applied to roll calling of students in a classroom, and comprises the steps of collecting image data of the students in the classroom, carrying out face recognition on the image data of the students to obtain recognition data, comparing the recognition data with prestored student data to obtain recorded data, and obtaining roll calling result data according to the recognition data, the recorded data and the student data. According to the face recognition roll call method, a teacher is not required to roll calls, the classroom time is saved, whether the student is the student can be accurately judged through the student image data, and imposition is avoided. The invention also provides a face recognition system for realizing the face recognition roll-call method.
Description
Technical Field
The invention relates to the technical field of roll call systems, in particular to a facial recognition roll call method and a facial recognition roll call system.
Background
At present, on a large class of school, a teacher ensures that students have or not have class escape by a roll call mode, but the existing roll call mode has great disadvantages. On one hand, the number of people in a large classroom is large, and the roll call takes a large amount of time, so that the teaching efficiency of teachers is low; on the other hand, the teacher may not be familiar with the student and cannot identify himself by roll calling.
Therefore, there is a need to provide a new face recognition roll call method and a new face recognition roll call system to solve the above problems in the prior art.
Disclosure of Invention
The invention aims to provide a facial recognition roll call method and a facial recognition roll call system, which save the time of roll call in a classroom, can accurately distinguish whether a student is the student, and avoid imposition.
In order to achieve the purpose, the facial recognition roll-call method is applied to roll-call of students in a classroom and comprises the following steps:
s1: collecting student image data in a classroom;
s2: carrying out face recognition on the student image data to obtain recognition data;
s3: comparing the identification data with prestored student data to obtain recorded data;
s4: and obtaining roll call result data according to the identification data, the record data and the student data.
The invention has the beneficial effects that: the face recognition is carried out by collecting the student image data in the classroom to obtain the recognition data, the recognition data is compared with the prestored student data to obtain the recorded data, and the roll calling result data is obtained according to the recognition data, the recorded data and the student data, so that a teacher does not need to roll calling, the classroom time is saved, whether the student image data is the student can be accurately judged, and the imposition is avoided.
Preferably, the step S2 further includes, when there is no recognizable face data in the student image data, performing the step S1 or terminating the face recognition roll call method.
Preferably, the identification data includes face data and number of live persons data, the student data includes corresponding name data and corresponding face data, and the corresponding name data and the corresponding face data correspond to each other one by one.
Further preferably, in step S3, the face data and the corresponding face data are compared one by one to obtain the record data, where the record data includes a first record data and a second record data.
Further preferably, if the similarity between the face data and any one of the corresponding face data is greater than or equal to a threshold, it is determined that the face data is the same as the corresponding face data, and corresponding name data corresponding to the corresponding face data is recorded to obtain the first recorded data, where the first recorded data represents students who should attend a class and have arrived at the scene.
Further preferably, if the similarity between the face data and any of the corresponding face data is smaller than a threshold, it is determined that the face data is different from the corresponding face data, and the face data is recorded to obtain second recorded data, where the second recorded data indicates students who should not attend a class and have arrived at the scene.
Further preferably, the step S3 further includes selecting the threshold value to meet the requirement of accuracy for comparison between the identification data and the student data in different occasions.
Further preferably, the threshold includes a first threshold, a second threshold and a third threshold, the contrast accuracy of the first threshold is one thousandth, the contrast accuracy of the second threshold is one ten thousandth, and the contrast accuracy of the third threshold is one hundred thousandth.
The invention also provides a facial recognition roll call system, which comprises an acquisition module, a face recognition module, a data comparison module and a statistic module, wherein the acquisition module is used for acquiring student image data in a classroom; the face recognition module is used for carrying out face recognition on the student image data to obtain recognition data; the data comparison module is used for comparing the identification data with prestored student data to obtain recorded data; the statistical module is used for obtaining roll call result data according to the identification data, the recorded data and the student data.
The facial recognition roll-call system has the beneficial effects that: the student image data in the classroom is collected by the collection module, the face recognition module carries out face recognition on the student image data to obtain recognition data, the data comparison module compares the recognition data with prestored student data to obtain recorded data, the counting module obtains roll calling result data according to the recognition data, the recorded data and the student data, a teacher does not need to roll calling, classroom time is saved, whether the student image data is the student can be accurately judged, and impersonation is avoided.
Preferably, one or more of the face recognition module, the data comparison module and the statistics module is based on a network data module. The beneficial effects are that: based on the network data module, the dependency of the facial roll call system on hardware can be reduced, and meanwhile, the hardware cost is reduced.
Drawings
FIG. 1 is a flow chart of a facial recognition roll call method of the present invention;
fig. 2 is a block diagram of the facial recognition roll call system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. As used herein, the word "comprising" and similar words are intended to mean that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.
Aiming at the problems in the prior art, the embodiment of the invention provides a facial recognition roll-call method, which is applied to roll-calls of students in a classroom, and comprises the following steps with reference to fig. 1:
s1: collecting student image data in a classroom;
s2: carrying out face recognition on the student image data to obtain recognition data;
s3: comparing the identification data with prestored student data to obtain recorded data;
s4: and obtaining roll call result data according to the identification data, the record data and the student data.
In some embodiments of the present invention, the step S2 further includes, when there is no recognizable face data in the student image data, performing the step S1 or terminating the face recognition roll call method.
In some embodiments of the present invention, the identification data includes face data and live person number data, the student data includes corresponding name data and corresponding face data, and the corresponding name data and the corresponding face data correspond to each other one by one.
In some embodiments of the present invention, in the step S3, the face data and the corresponding face data are compared one by one to obtain the record data. If the similarity between the face data and any corresponding face data is greater than or equal to a threshold value, judging that the face data is the same as the corresponding face data, and then recording corresponding name data corresponding to the corresponding face data to obtain first recorded data, wherein the first recorded data represent students who should attend classes and have arrived on the scene; and if the similarity between the face data and any corresponding face data is smaller than a threshold value, judging that the face data is different from the corresponding face data, and recording the face data to obtain second recorded data, wherein the second recorded data represents students who should not be in class and have arrived. Preferably, the step S3 further includes selecting the size of the threshold to meet the requirement of accuracy for comparison between the identification data and the student data in different situations, where the threshold includes a first threshold, a second threshold and a third threshold, the comparison accuracy of the first threshold is one thousandth, the comparison accuracy of the second threshold is one ten thousandth, and the comparison accuracy of the third threshold is one hundred thousandth.
In some embodiments of the present invention, the roll call result data includes real-to-number data, absent-number data, real-to-name data, and absent-name data, and the roll call result data is displayed through a visual UI interface based on a Graphic User Interface (GUI) graphic library.
FIG. 2 is a block diagram of a facial recognition roll call system in some embodiments of the invention. Referring to fig. 2, the facial recognition roll call system 10 includes an acquisition module 11, a face recognition module 12, a data comparison module 13 and a statistic module 14, where the acquisition module 11 is used to acquire student image data in a classroom; the face recognition module 12 is configured to perform face recognition on the student image data to obtain recognition data; the data comparison module 13 is configured to compare the identification data with pre-stored student data to obtain recorded data; the statistic module 14 is configured to obtain roll call result data according to the identification data, the record data, and the student data.
In some embodiments of the invention, one or more of the face recognition module, the data comparison module and the statistics module is based on a network data module.
In some preferred embodiments of the present invention, the acquisition module is a camera, and the face recognition module drives the acquisition module through an Open Source Computer Vision L (OpenCV) library and performs face recognition on the student image data through OpenCV to obtain recognition data.
In some embodiments of the present invention, the data comparison module is a new visual service platform face + + server of beijing spaghetti technologies ltd.
Although the embodiments of the present invention have been described in detail hereinabove, it is apparent to those skilled in the art that various modifications and variations can be made to these embodiments. However, it is to be understood that such modifications and variations are within the scope and spirit of the present invention as set forth in the following claims. Moreover, the invention as described herein is capable of other embodiments and of being practiced or of being carried out in various ways.
Claims (10)
1. A facial recognition roll-call method is applied to roll-calls of students in a classroom and is characterized by comprising the following steps:
s1: collecting student image data in a classroom;
s2: carrying out face recognition on the student image data to obtain recognition data;
s3: comparing the identification data with prestored student data to obtain recorded data;
s4: and obtaining roll call result data according to the identification data, the record data and the student data.
2. The face recognition roll call method according to claim 1, wherein the step S2 further comprises, when no recognizable face data exists in the student image data, performing the step S1 or terminating the face recognition roll call method.
3. The method of claim 1, wherein the identification data comprises face data and number of people on site data, the student data comprises corresponding name data and corresponding face data, and the corresponding name data and the corresponding face data are in one-to-one correspondence.
4. The method for roll calling according to claim 3, wherein in step S3, the face data and the corresponding face data are compared one by one to obtain the record data, and the record data comprises a first record data and a second record data.
5. The face recognition roll call method according to claim 4, wherein if the similarity between the face data and any one of the corresponding face data is greater than or equal to a threshold value, the face data is determined to be the same as the corresponding face data, and corresponding name data corresponding to the corresponding face data is recorded to obtain the first recorded data, wherein the first recorded data represents students who should attend the class and have arrived at the scene.
6. The face recognition roll call method according to claim 4, wherein if the similarity between the face data and any of the corresponding face data is smaller than a threshold, it is determined that the face data is not identical to the corresponding face data, and the face data is recorded to obtain the second recording data, wherein the second recording data represents students who should not be in class and have arrived at the scene.
7. The method for roll calling facial recognition according to claim 5 or 6, wherein said step S3 further comprises selecting said threshold value to meet the requirement of accuracy of comparison between said recognition data and said student data.
8. The facial recognition roll call method according to claim 7, wherein the threshold values include a first threshold value, a second threshold value, and a third threshold value, the contrast accuracy of the first threshold value is one in thousandth, the contrast accuracy of the second threshold value is one in ten thousandth, and the contrast accuracy of the third threshold value is one in hundred thousandth.
9. A facial recognition roll call system, characterized in that the facial recognition roll call system is used for realizing the facial recognition roll call method of any one of claims 1-8, the facial recognition roll call system comprises an acquisition module, a human face recognition module, a data comparison module and a statistic module,
the acquisition module is used for acquiring student image data in a classroom;
the face recognition module is used for carrying out face recognition on the student image data to obtain recognition data;
the data comparison module is used for comparing the identification data with prestored student data to obtain recorded data;
the statistical module is used for obtaining roll call result data according to the identification data, the recorded data and the student data.
10. The facial roll call system of claim 9 wherein one or more of the face recognition module, the data comparison module, and the statistics module are based on a network data module.
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| CN202010181611.6A CN111414834A (en) | 2020-03-16 | 2020-03-16 | Face recognition roll calling method and face recognition roll calling system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109461223A (en) * | 2018-10-29 | 2019-03-12 | 江苏环宇臻视智能科技有限公司 | A kind of classroom roll-call system and method based on recognition of face |
| CN109544716A (en) * | 2018-10-31 | 2019-03-29 | 深圳市商汤科技有限公司 | Student registers method and device, electronic equipment and storage medium |
| CN109598809A (en) * | 2018-12-05 | 2019-04-09 | 上海创视通软件技术有限公司 | A kind of check class attendance method and system based on recognition of face |
| CN110827432A (en) * | 2019-11-11 | 2020-02-21 | 深圳算子科技有限公司 | Class attendance checking method and system based on face recognition |
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- 2020-03-16 CN CN202010181611.6A patent/CN111414834A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109461223A (en) * | 2018-10-29 | 2019-03-12 | 江苏环宇臻视智能科技有限公司 | A kind of classroom roll-call system and method based on recognition of face |
| CN109544716A (en) * | 2018-10-31 | 2019-03-29 | 深圳市商汤科技有限公司 | Student registers method and device, electronic equipment and storage medium |
| CN109598809A (en) * | 2018-12-05 | 2019-04-09 | 上海创视通软件技术有限公司 | A kind of check class attendance method and system based on recognition of face |
| CN110827432A (en) * | 2019-11-11 | 2020-02-21 | 深圳算子科技有限公司 | Class attendance checking method and system based on face recognition |
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