CN113542668A - Monitoring system and method based on 3D camera - Google Patents
Monitoring system and method based on 3D camera Download PDFInfo
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- CN113542668A CN113542668A CN202010318300.XA CN202010318300A CN113542668A CN 113542668 A CN113542668 A CN 113542668A CN 202010318300 A CN202010318300 A CN 202010318300A CN 113542668 A CN113542668 A CN 113542668A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012544 monitoring process Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 8
- 230000001815 facial effect Effects 0.000 claims description 33
- 230000003068 static effect Effects 0.000 claims description 18
- 230000008921 facial expression Effects 0.000 claims description 16
- 238000012360 testing method Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 5
- 230000006399 behavior Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
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- 210000005069 ears Anatomy 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
Abstract
The invention provides a monitoring system based on a 3D camera, which relates to the field of monitoring systems and comprises the following components: the system comprises an identity recognition module, a coordinate model creation module, a data acquisition module, an image processing module, a sound analysis module, a positioning module and a communication module, wherein the identity recognition module is used for verifying whether the face of an examinee is matched with personal identity card information; the coordinate model creating module is used for establishing a plane coordinate system for the examination room and enabling the seat of each examiner to fall into the coordinate in the corresponding plane coordinate system; the data acquisition module is used for acquiring dynamic face images and sound data of examinees in the examination hall; the image processing module is used for analyzing the dynamic face image and judging whether a suspicion of examination by substitute or a cheating suspicion exists; the invention is used for solving the technical problems that the electronic invigilation system in the prior art is not perfect enough, the taking-in of the examination and the cheating cannot be avoided, the invigilation teacher still needs to participate in the invigilation process, and the electronic invigilation cannot completely replace the manual invigilation.
Description
Technical Field
The invention relates to the field of monitoring systems, in particular to a monitoring system and a monitoring method based on a 3D camera.
Background
With the continuous development of social economy, various teaching templates such as network schools, adult education schools, open education, self-learning examinations and the like are gradually popularized and developed, and the education modes are performed in modes of decentralized learning, centralized examinations and manual invigilation. In a traditional examination room, 1-3 invisibly observers are required to watch a classroom, so that cheating of students is prevented. The invigilation method needs a large amount of personnel to monitor constantly, wastes excessive human resources and is not easy to obtain evidence of cheating behaviors.
With the continuous deepening of education and reform in China and the continuous development of electronic technology and computer network technology, a novel invigilation mode which takes electronic invigilation as a main part and manual invigilation as an auxiliary part is inevitably developed. Compared with the traditional invigilation mode, the modern network electronic invigilation mode has the advantages of reality, fairness, justice, real-time video backup, after-the-fact quick query, no human factor interference and the like, is a necessary trend of social fairness competition and is a necessary requirement of national education development, but the electronic invigilation system in the prior art is not perfect, and can not stop the occurrence of alternative examination and cheating behaviors, moreover, invigilation still needs the presence of invigilation teachers in the invigilation process, and the electronic invigilation can not completely replace manual invigilation.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide a monitoring system and method based on a 3D camera, which are used to solve the technical problems that an electronic invigilation system in the prior art is not perfect enough, and can not prevent the generation of a test substitute and a cheating action, and the electronic invigilation can not completely replace manual invigilation because a proctor still needs to participate in the invigilation process.
The invention provides a monitoring system based on a 3D camera, which comprises: the system comprises an identity recognition module, a coordinate model creation module, a data acquisition module, an image processing module, a sound analysis module, a positioning module and a communication module;
the identity recognition module is used for verifying whether the face of the examiner is matched with the personal identity card information;
the coordinate model creating module is used for establishing a plane coordinate system for the examination room and enabling the seat of each examinee to fall into the coordinate in the corresponding plane coordinate system;
the data acquisition module is used for acquiring dynamic face images and sound data of examinees in the examination room;
the image processing module is used for analyzing the dynamic face image and judging whether a suspicion of examination by substitute or a cheating suspicion exists;
The sound analysis module is used for analyzing the sound data and judging whether suspected cheating sounds exist or not;
the positioning module is used for positioning the examinees in the plane coordinate system, determining the coordinates of the examinees with cheating suspicion or alternative suspicion, positioning the suspected cheating sounds and determining the coordinates;
and the communication module sends the coordinates in the locking module to a terminal server.
In an embodiment of the invention, the identity recognition module comprises a face recognition unit and an identity recognition unit, the face recognition unit comprises a 2D camera, and the 2D camera is arranged at an entrance of an examination room and is used for shooting a static face image of an examinee; the identity recognition unit is used for recognizing the personal identity card information of the examinees.
In an embodiment of the present invention, the data acquisition module includes a camera unit and a sound acquisition unit,
the camera shooting unit comprises a 3D camera and is used for tracking the face in the static face image and collecting the dynamic face images of all the personnel in the examination room;
the sound acquisition unit is used for acquiring all sound data in the examination room.
In an embodiment of the present invention, the image processing module includes a facial feature extraction unit, a facial feature comparison unit and a facial feature analysis unit,
The face feature extraction unit is used for extracting face features A of a face image in the personal identification card information, extracting face features B in a static face image and extracting face features C in a dynamic face image;
the facial feature comparison unit is used for comparing the facial feature C with the facial feature A and the facial feature B to obtain the recognition degree, and judging whether the recognition degree is within a set threshold value or not so as to judge whether the alternative suspicion exists or not;
the facial feature analysis unit is used for analyzing the facial expression in the dynamic human face image and analyzing whether the examinee is suspected to cheat or not from the facial expression.
A monitoring method based on a 3D camera, the method comprising the steps of:
step 1: when an examinee enters an examination room, verifying whether the face of the examinee is matched with the personal identity card information;
step 2: establishing a plane coordinate system for an examination room, and enabling the seat of each examiner to fall into the coordinate in the corresponding plane coordinate system;
and step 3: collecting dynamic face images and sound data of examinees in an examination hall;
and 4, step 4: analyzing the dynamic face image to judge whether the alternative suspicion or the cheating suspicion exists;
and 5: analyzing the sound data, and judging whether suspected cheating sounds exist;
Step 6: positioning examinees with cheating suspicions or alternative suspicions and suspected cheating sounds, and determining coordinates;
and 7: and sending the coordinates in the locking module to a terminal server.
In an embodiment of the present invention, the step 1 specifically includes:
step 1.1: collecting a static face image of a test taker;
step 1.2: collecting a face image in personal identification card information of a test taker;
step 1.3: and comparing the face images in the static face image personal identity card information, and if the face images are consistent, the verification is passed.
In an embodiment of the present invention, the step 4 specifically includes:
step 4.1: extracting face features A of a face image in the personal identity card information, extracting face features B in a static face image and extracting face features C in a dynamic face image;
step 4.2: comparing the face feature C with the face feature A and the face feature B to obtain the recognition degree, and judging whether the recognition degree is within a set threshold value so as to judge whether the alternative suspicion exists;
step 4.3: and analyzing the facial expression in the dynamic human face image, and analyzing whether the examinee is suspected to cheat from the facial expression.
As described above, the present invention has the following advantageous effects:
The invention judges whether the suspicion of the alternative test and the cheating exists or not through the recognition of sound, facial features and expressions, and simultaneously, the seat of each examinee is positioned by adopting a plane coordinate system, so that the source of the sound and the position of the examinee with the cheating suspicion can be conveniently and rapidly found out, the generation of the alternative test and the cheating behavior can be avoided, the manual invigilation can be completely replaced, and the manpower and material resources are reduced.
Drawings
FIG. 1 is a block diagram of the system disclosed herein.
Fig. 2 is a block diagram of an identification module according to the present disclosure.
Fig. 3 is a block diagram of an image processing module according to the present disclosure.
FIG. 4 is a flow chart of the method disclosed in the present invention.
FIG. 5 shows a detailed flow chart of step 1 disclosed in the present invention.
FIG. 6 is a detailed flow chart of step 4 disclosed in the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, the present invention provides a monitoring system based on a 3D camera, the monitoring system includes: the system comprises an identity recognition module, a coordinate model creation module, a data acquisition module, an image processing module, a sound analysis module, a positioning module and a communication module;
the identity recognition module is used for verifying whether the face of the examiner is matched with the personal identity card information or not, and the examiner can enter an examination room only when the face of the examiner is matched with the personal identity card information;
the coordinate model creating module is used for establishing a plane coordinate system for the examination room and enabling the seat of each examinee to fall into the coordinate in the corresponding plane coordinate system;
the data acquisition module is used for acquiring dynamic face images and sound data of examinees in the examination room;
the image processing module is used for analyzing the dynamic face image and judging whether a suspicion of examination by substitute or a cheating suspicion exists;
The sound analysis module is used for analyzing the sound data and judging whether suspected cheating sounds exist or not;
the positioning module is used for positioning the examinees in the plane coordinate system, determining the coordinates of the examinees with cheating suspicion or alternative suspicion, positioning the suspected cheating sounds and determining the coordinates;
and the communication module sends the coordinates in the locking module to a terminal server, and a worker calls the video monitoring video and the sound data of the coordinates to check.
Specifically, the analysis process of the sound analysis module on the sound data is as follows:
1. recognizing the sound, and distinguishing the sound emitted by a person or the sound emitted by an article;
2. if the voice is the voice sent by people, the voice is analyzed in the next step and is compared with the sensitive vocabulary list, and if the voice contains the sensitive vocabulary, the voice is judged to be the voice suspected of cheating;
3. if the sound is the sound emitted by the article, the article sound is further analyzed and compared with the sensitive sound, and if the sound is the sensitive sound, the sound is judged to be the sound suspected to be cheated.
Wherein the sensitive vocabulary list comprises answers, results, options and the like; the sensitive sound includes the sound of paper tearing, paper kneading or communication equipment.
Referring to fig. 2, based on the above embodiment, the identity recognition module includes a face recognition unit and an identity recognition unit, the face recognition unit includes a 2D camera, and the 2D camera is disposed at an entrance of an examination room and is used for shooting a static face image of an examinee; the identity recognition unit is used for recognizing the personal identity card information of the examinees.
Based on the above embodiment, the data acquisition module comprises a camera unit and a sound acquisition unit,
the camera shooting unit comprises a 3D camera and is used for tracking the face in the static face image and collecting the dynamic face images of all the personnel in the examination room; preferably, the 3D camera is provided in plurality, can cover to every corner in the examination room, and can shoot the face of each examinee.
The sound collection unit is used for collecting all sound data in the examination room in real time, and preferably, the sound collection unit adopts a microphone.
Referring to fig. 3, based on the above embodiment, the image processing module includes a facial feature extraction unit, a facial feature comparison unit and a facial feature analysis unit,
the face feature extraction unit is used for extracting face features A of a face image in the personal identification card information, extracting face features B in a static face image and extracting face features C in a dynamic face image;
The facial feature comparison unit is used for comparing the facial feature C with the facial feature A and the facial feature B to obtain the recognition degree, and judging whether the recognition degree is within a set threshold value or not so as to judge whether the alternative suspicion exists or not;
the facial feature analysis unit is used for analyzing the facial expression in the dynamic human face image and analyzing whether the examinee is suspected to cheat or not from the facial expression.
Specifically, the facial feature comparison unit analyzes the facial features as follows:
1. extracting facial features C of the dynamic face image, including eyebrows, eyes, ears, nose and mouth;
2. comparing the facial feature C with eyebrows, eyes, ears, nose and mouth in the facial feature A and the facial feature B to obtain the identification degree;
3. the threshold value of the recognition degree is set to be 90-100%, and if the recognition degree is lower than 90%, the examinee is judged to have the suspicion of the examination by substitute.
Specifically, the facial feature analysis unit analyzes the human face as follows:
1. recording the head turning action of each examinee, and extracting facial expressions;
2. if the same head turning action of the examinee repeatedly occurs more than 5 times in one minute, the examinee is judged to be suspected of cheating;
3. And comparing the facial expression of the examinee in the examination process with the facial expression of the examinee at the beginning of the examination, and if the similarity of the facial expressions is greater than a set threshold value, judging that the examinee is suspected of cheating.
Referring to fig. 4, a monitoring method based on a 3D camera includes the following steps:
step 1: when an examinee enters an examination room, verifying whether the face of the examinee is matched with the personal identity card information;
step 2: establishing a plane coordinate system for an examination room, and enabling the seat of each examiner to fall into the coordinate in the corresponding plane coordinate system;
and step 3: collecting dynamic face images and sound data of examinees in an examination hall;
and 4, step 4: analyzing the dynamic face image to judge whether the alternative suspicion or the cheating suspicion exists;
and 5: analyzing the sound data, and judging whether suspected cheating sounds exist;
step 6: positioning examinees with cheating suspicions or alternative suspicions and suspected cheating sounds, and determining coordinates;
and 7: and sending the coordinates in the locking module to a terminal server.
Referring to fig. 5, based on the above embodiment, the step 1 specifically includes:
step 1.1: collecting a static face image of a test taker;
step 1.2: collecting a face image in personal identification card information of a test taker;
Step 1.3: and comparing the face images in the static face image personal identity card information, and if the face images are consistent, the verification is passed.
Referring to fig. 6, based on the above embodiment, the step 4 specifically includes:
step 4.1: extracting face features A of a face image in the personal identity card information, extracting face features B in a static face image and extracting face features C in a dynamic face image;
step 4.2: comparing the face feature C with the face feature A and the face feature B to obtain the recognition degree, and judging whether the recognition degree is within a set threshold value so as to judge whether the alternative suspicion exists;
step 4.3: and analyzing the facial expression in the dynamic human face image, and analyzing whether the examinee is suspected to cheat from the facial expression.
In conclusion, the invention judges whether the suspicion of the alternative examination and the cheating exists or not through the recognition of the sound, the facial features and the expression, and simultaneously, the seat of each examinee is positioned by adopting a plane coordinate system, so that the source of the sound and the position of the examinee with the cheating suspicion can be conveniently and rapidly found out, the generation of the alternative examination and the cheating behavior can be avoided, the manual invigilation can be completely replaced, and the manpower and material resources are reduced. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (7)
1. A monitoring system based on a 3D camera, the monitoring system comprising: the system comprises an identity recognition module, a coordinate model creation module, a data acquisition module, an image processing module, a sound analysis module, a positioning module and a communication module;
the identity recognition module is used for verifying whether the face of the examiner is matched with the personal identity card information;
the coordinate model creating module is used for establishing a plane coordinate system for the examination room and enabling the seat of each examinee to fall into the coordinate in the corresponding plane coordinate system;
the data acquisition module is used for acquiring dynamic face images and sound data of examinees in the examination room;
the image processing module is used for analyzing the dynamic face image and judging whether a suspicion of examination by substitute or a cheating suspicion exists;
The sound analysis module is used for analyzing the sound data and judging whether suspected cheating sounds exist or not;
the positioning module is used for positioning the examinees in the plane coordinate system, determining the coordinates of the examinees with cheating suspicion or alternative suspicion, positioning the suspected cheating sounds and determining the coordinates;
and the communication module sends the coordinates in the locking module to a terminal server.
2. The system of claim 1, wherein: the identity recognition module comprises a face recognition unit and an identity recognition unit, the face recognition unit comprises a 2D camera, and the 2D camera is arranged at an entrance of an examination room and is used for shooting a static face image of an examinee; the identity recognition unit is used for recognizing the personal identity card information of the examinees.
3. The system of claim 2, wherein: the data acquisition module comprises a camera unit and a sound acquisition unit,
the camera shooting unit comprises a 3D camera and is used for tracking the face in the static face image and collecting the dynamic face images of all the personnel in the examination room;
the sound acquisition unit is used for acquiring all sound data in the examination room.
4. The system of claim 1, wherein: the image processing module comprises a facial feature extraction unit, a facial feature comparison unit and a facial feature analysis unit,
the face feature extraction unit is used for extracting face features A of a face image in the personal identification card information, extracting face features B in a static face image and extracting face features C in a dynamic face image;
the facial feature comparison unit is used for comparing the facial feature C with the facial feature A and the facial feature B to obtain the recognition degree, and judging whether the recognition degree is within a set threshold value or not so as to judge whether the alternative suspicion exists or not;
the facial feature analysis unit is used for analyzing the facial expression in the dynamic human face image and analyzing whether the examinee is suspected to cheat or not from the facial expression.
5. A monitoring method based on a 3D camera is characterized by comprising the following steps:
step 1: when an examinee enters an examination room, verifying whether the face of the examinee is matched with the personal identity card information;
step 2: establishing a plane coordinate system for an examination room, and enabling the seat of each examiner to fall into the coordinate in the corresponding plane coordinate system;
and step 3: collecting dynamic face images and sound data of examinees in an examination hall;
And 4, step 4: analyzing the dynamic face image to judge whether the alternative suspicion or the cheating suspicion exists;
and 5: analyzing the sound data, and judging whether suspected cheating sounds exist;
step 6: positioning examinees with cheating suspicions or alternative suspicions and suspected cheating sounds, and determining coordinates;
and 7: and sending the coordinates in the locking module to a terminal server.
6. The method of claim 5, wherein: the step 1 specifically comprises:
step 1.1: collecting a static face image of a test taker;
step 1.2: collecting a face image in personal identification card information of a test taker;
step 1.3: and comparing the face images in the static face image personal identity card information, and if the face images are consistent, the verification is passed.
7. The method of claim 5, wherein: the step 4 specifically includes:
step 4.1: extracting face features A of a face image in the personal identity card information, extracting face features B in a static face image and extracting face features C in a dynamic face image;
step 4.2: comparing the face feature C with the face feature A and the face feature B to obtain the recognition degree, and judging whether the recognition degree is within a set threshold value so as to judge whether the alternative suspicion exists;
Step 4.3: and analyzing the facial expression in the dynamic human face image, and analyzing whether the examinee is suspected to cheat from the facial expression.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115146243A (en) * | 2022-07-08 | 2022-10-04 | 武汉全英教育咨询有限公司 | Online VR examination examinee information checking management system based on data analysis |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070077264A (en) * | 2006-01-23 | 2007-07-26 | (주)씨아이피시스템 | A method of face recognizing |
| CN103136510A (en) * | 2013-01-17 | 2013-06-05 | 京东方科技集团股份有限公司 | Examination monitoring system and method |
| CN203455878U (en) * | 2013-09-11 | 2014-02-26 | 东华大学 | Non-supervision exam system |
| CN108334846A (en) * | 2018-02-06 | 2018-07-27 | 高强 | A kind of intelligence examination hall Invigilating method and system |
| CN109214354A (en) * | 2018-09-26 | 2019-01-15 | 珠海横琴现联盛科技发展有限公司 | Dynamic human face retrieval method based on 3D camera |
| WO2019071738A1 (en) * | 2017-10-12 | 2019-04-18 | 平安科技（深圳）有限公司 | Examinee identity authentication method and apparatus, readable storage medium and terminal device |
| CN110659542A (en) * | 2018-06-29 | 2020-01-07 | 杭州海康威视数字技术股份有限公司 | Monitoring method and device |
-
2020
- 2020-04-21 CN CN202010318300.XA patent/CN113542668A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070077264A (en) * | 2006-01-23 | 2007-07-26 | (주)씨아이피시스템 | A method of face recognizing |
| CN103136510A (en) * | 2013-01-17 | 2013-06-05 | 京东方科技集团股份有限公司 | Examination monitoring system and method |
| CN203455878U (en) * | 2013-09-11 | 2014-02-26 | 东华大学 | Non-supervision exam system |
| WO2019071738A1 (en) * | 2017-10-12 | 2019-04-18 | 平安科技（深圳）有限公司 | Examinee identity authentication method and apparatus, readable storage medium and terminal device |
| CN108334846A (en) * | 2018-02-06 | 2018-07-27 | 高强 | A kind of intelligence examination hall Invigilating method and system |
| CN110659542A (en) * | 2018-06-29 | 2020-01-07 | 杭州海康威视数字技术股份有限公司 | Monitoring method and device |
| CN109214354A (en) * | 2018-09-26 | 2019-01-15 | 珠海横琴现联盛科技发展有限公司 | Dynamic human face retrieval method based on 3D camera |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115146243A (en) * | 2022-07-08 | 2022-10-04 | 武汉全英教育咨询有限公司 | Online VR examination examinee information checking management system based on data analysis |
| CN115146243B (en) * | 2022-07-08 | 2023-09-15 | 北京布局未来教育科技有限公司 | Online VR examination examinee information checking and managing system based on data analysis |
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