CN113515976B - Intelligent experiment investigation system based on multi-scene video analysis - Google Patents
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Abstract
The invention discloses an intelligent experiment investigation system based on multi-scene video analysis, and belongs to the technical field of practice teaching. Comprising the following steps: the system comprises an interaction terminal, a multi-angle camera and an experiment host; the interaction terminal is used for carrying out man-machine interaction with a user, and realizing identity verification, experimental authorization and experimental data submission; the multi-angle camera is used for collecting the operation behaviors of the user and experimental data displayed by the experimental instrument at multiple angles; the experimental host is used for analyzing, processing and feeding back results of images acquired by the multi-angle cameras and alarming abnormal behaviors. The system provided by the invention can solve the problem of difficult process monitoring in the practice link in the current experimental teaching mode, has strong applicability, can be suitable for experimental teaching scenes such as information technology, physical and the like, and has higher value for the intellectualization and informatization of the current teaching mode.
Description
Technical Field
The invention belongs to the technical field of practice teaching, and particularly relates to an intelligent experiment investigation system based on multi-scene video analysis.
Background
Apart from theory teaching, practice teaching is an important link of talent culture, and is a main mode for deepening understanding of students on learned theory and improving practice ability of students. However, compared to theoretical teaching, practical teaching is the weakest link in the teaching process. The existing experimental teaching management measures have the following problems: in practice, the lack of monitoring of the student's operational process by the teacher results in serious information starvation. In practice class, the teacher is guided to conduct operations on students, answer questions, test and accept experiments and deal with emergency, and because of the large number of students, the teacher is guided to take care of each student, and cannot make Du Juedai severe cases such as plagiarism and the like. The current practice monitoring is completely born by the manpower of a teacher, the acquired information quantity is less, the related surface is narrow, the accurate judgment of the teacher on the learning condition is affected, and the learning attitude and the culture of the autonomous learning ability of the student are affected.
The development of Internet technology and artificial intelligence technology has broken through for the 21 st century, and is mature. "Internet+education", "AI+education" is becoming a research hotspot. The technology such as website development, face recognition and gesture detection is applied to management of practice teaching, so that the problem of insufficient supervision in teaching can be solved, and perfect and efficient practice teaching practice can be provided through data feedback. At present, researchers at home and abroad conduct quite a lot of researches on the detection of automatic detection of cheating behaviors by using computer vision, such as document [1] (Mei Yi, sun Hongwei. Examination cheating behavior recognition simulation based on intelligent vision [ J ]. Computer simulation, 2014,31 (04): 219-222.) adopts an examination cheating behavior recognition method based on an immune multi-Agent algorithm, and utilizes an immune multi-square distance minimum value method to extract characteristics related to the examination cheating behaviors so as to complete recognition of the examination cheating behaviors; or in document [2] (Yohannes, v.ayumi and m.i. fanny, "Multimodal decomposable models by superpixel segmentation and point-in-time cheating detection,"2016International Conference on Advanced Computer Science and Information Systems (icacsi), malang,2016, pp.391-396.) using a multimodal decomposable Model (MODEC) with superpixel segmentation to detect joint positions of humans, and using Conditional Random Fields (CRF) to classify and detect certain classes of cheating activity.
However, these studies only discuss the detection of cheating in the context of a pen test. For the pencil test scene, because the scene is positioned in the examination room, only a small number of articles such as stationery, examination papers and the like are arranged on the table top of the examinee, the seats of the examinee are also scattered, the visual field is relatively wide, and the abnormal behaviors of the students are very easy to find. Therefore, the observation and the cheating behavior detection of all examinees in the classroom can be realized by using only a few cameras, and the realization difficulty in hardware is relatively low. In the teaching scene in the experimental classroom, a large number of experimental equipment often exists, the position is more crowded, and the detection difficulty of abnormal activities of students is greater. If a scheme similar to the detection of cheating in an examination scene is adopted, the activity of students is difficult to perceive. Therefore, the detection scheme of cheating behavior in the scene of the pen test examination is not suitable for detecting similar illegal behaviors in the experimental classroom.
Meanwhile, the cheating behavior detection under the scene of the pen test examination only focuses on the identification and classification of the user behaviors, does not consider the application of technologies such as article tracking identification, digital detection recording and the like, and does not develop functions such as automatic recording and the like. For detecting the illegal behaviors in the scene of the pen test examination, the technologies may not be necessary to use because the illegal behaviors mainly consist of obvious cheating behaviors such as peeping, sensing paper and the like. However, the illegal behaviors in the experimental teaching are not only the abnormal behaviors of the user, but also very easy to be realized by means of data modification, equipment replacement and the like, so that the technology is indispensable to intelligent investigation in the experimental teaching.
Therefore, the existing research and exploration scope is too narrow and the applicable degree is low in the face of the scene of classroom experiments.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides an intelligent experiment investigation system based on multi-scene video analysis, which aims to solve the technical problems of complex experiment record and difficult detection of illegal behaviors in the experiment teaching process.
In order to achieve the above object, the present invention provides an intelligent experiment investigation system based on multi-scene video analysis, comprising: the system comprises an interaction terminal, a multi-angle camera and an experiment host;
the interaction terminal is used for carrying out man-machine interaction with a user, realizing identity verification, experimental authorization and experimental data submission;
the multi-angle camera is used for collecting operation behaviors of a user and experimental data displayed by an experimental instrument at multiple angles;
the experimental host is used for analyzing, processing and feeding back results of images acquired by the multi-angle cameras and alarming abnormal behaviors.
Further, the multi-angle camera comprises a nodding camera, a pitching camera and a fixed camera;
the nodding imaging head is fixed right above the operation area of the experiment table and is used for acquiring images in the experimental process of the operation area;
the upward shooting image head is fixed on a desktop beside an operation area of the experiment table and is used for collecting images of the behavior actions of a user;
the fixed camera is fixed at the edge of the experiment table and used for collecting images of experimental data displayed by the experimental instrument.
Further, the image data specifically collected by the nodding camera includes: the number of experimental equipment and the number of hands of the user.
Further, the interaction terminal performs man-machine interaction with a user to realize identity verification and experimental authorization, and specifically comprises the following steps:
the experimental equipment, the experimental table and the user are respectively numbered and matched one by one;
the user applies for entering an experiment through the interactive terminal on the experiment table with the matched number;
the face information of the user is collected by the upward shooting image head, and whether the face information is consistent with the face information matched with the background is judged; if yes, the identity verification is successful, and the experiment is started; if not, the identity verification fails, and the face information collection is carried out again.
Further, the experimental host analyzes, processes and feeds back results of images acquired by the multi-angle cameras, and alarms abnormal behaviors, and specifically comprises the following steps:
according to the image information acquired by the nodding imaging head, carrying out abnormal alarm on whether shielding exists on the nodding imaging head, experimental equipment and the hands of a user;
and carrying out abnormal alarm on whether the upward shooting image head is shielded, the identity and the behavior of the user according to the image information acquired by the upward shooting image head.
Further, the method for alarming the abnormality of the experimental equipment specifically comprises the following steps:
analyzing the serial numbers of the experimental equipment acquired by the nodding cameras, and triggering an alarm when the experimental equipment with the designated serial number is not acquired all the time in the set time in the operation process; when the experimental equipment with the designated number is replaced in the operation process, triggering an alarm; when a plurality of operation devices appear in the operation process, an alarm is triggered.
Further, the method for alarming the abnormality of the hand of the user specifically comprises the following steps:
analyzing the number of hands of a user acquired by a nodding camera, and triggering the video analysis of the pitching camera when the hands of the user are not acquired in an operation area all the time in a set time in the operation process; triggering upward shooting image head video analysis when the abnormal hand number occurs in the operation process; the abnormal hand number refers to the case where the hand number is greater than 2.
Further, the method for carrying out abnormal alarm on the identity and the behavior of the user specifically comprises the following steps:
after abnormal alarming is carried out on the hands of the user, user information acquired by the upward shooting image head is analyzed, and when the user leaves the experiment table or user replacement occurs, an alarm is triggered;
in the whole experimental process, user images captured by the upward shooting image head at intervals of set time are analyzed, and when user replacement occurs, an alarm is triggered.
In general, the above technical solution conceived by the present invention can achieve the following advantageous effects compared to the prior art.
According to the invention, a plurality of cameras are deployed, images of multiple scenes such as an operation area, experimental data displayed by an experimental instrument, behavior actions of an operator and the like in the experimental process are acquired, experimental investigation results are automatically generated, abnormal behaviors are detected and alarmed, the problem of difficult process monitoring in a practical link in the current experimental teaching mode can be solved, the method is universally applicable to modern experimental investigation scenes (such as experimental teaching scenes of information technology, physical and the like), and the method has higher value for the intellectualization and informatization of the current teaching mode.
Drawings
FIG. 1 is a working principle diagram of an intelligent experiment investigation system based on multi-scene video analysis provided by the embodiment of the invention;
fig. 2 is a block diagram of an intelligent experimental investigation system based on multi-scene video analysis according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The embodiment of the invention provides an intelligent experiment investigation system based on multi-scene video analysis, which comprises the following components: the system comprises an interaction terminal, a multi-angle camera and an experiment host; the working principle is shown in figure 1, and the interaction terminal is used for carrying out man-machine interaction with a user to realize identity verification, experimental authorization and experimental data submission; the multi-angle camera is used for collecting the operation behaviors of the user and experimental data displayed by the experimental instrument at multiple angles; the experimental host is used for analyzing, processing and feeding back results of images acquired by the multi-angle cameras and alarming abnormal behaviors. The multi-angle camera comprises a nodding camera, a pitching camera and a fixed camera; as shown in fig. 2, the nodding camera is fixed right above the operation area of the experiment table, and is used for collecting images during the experiment process of the operation area, and specifically collected image data includes: the number of experimental equipment and the number of hands of users; the upward shooting image head is fixed on a desktop beside an operation area of the experiment table and is used for collecting images of the behavior actions of a user; the fixed camera is fixed at the edge of the experiment table and used for collecting images of experimental data displayed by the experimental instrument.
The user of the invention includes, but is not limited to, students, teachers or other experimental teaching management personnel. In the embodiment of the invention, students are taken as an example, and the experimental process and the result recording process of the system are as follows: in the student experiment process, the nodding camera can shoot the experiment process to carry out video backup; the fixed camera can regularly shoot data in the display area of the experimental instrument to be used as a screenshot, and final experimental data are recorded when the experiment is completed. According to various data, a digital abstract and an experiment report can be automatically formed on a local experiment host. And after the student experiment is finished, submitting an application for the experiment completion at the interactive terminal. After the system receives the application, the nodding camera records the current operation condition of the student, and the fixed camera polls various data displayed by the experimental instrument and records the data. And after receiving the application and the submitted data, the teacher verifies that the verification is successful, and the experiment is finished. In the process, the system can monitor the behavior actions of the students and the experimental data in real time, and mainly detects whether the students independently and independently complete experimental operation, whether abnormal behaviors exist in the operation process or not, and whether the experimental data are real or not.
Further, the interaction terminal performs man-machine interaction with the user to realize identity verification and experimental authorization, and specifically comprises the following steps:
the experimental equipment, the experimental table and the user are respectively numbered and matched one by one; specifically, before the experiment starts, a teacher performs one-to-one matching on the student number, the experiment table number, the experiment equipment number and the like, and notifies the student of the matching result; wherein, the related experimental equipment is reasonably placed on an experimental table and is marked with numbers;
the user applies for entering an experiment through the interactive terminal on the experiment table with the matched number; specifically, the interaction terminal can be used for students to operate through input and output equipment, such as a keyboard, a mouse or a touch screen.
The face information of the user is collected by the upward shooting image head, and whether the face information is consistent with the face information matched with the background is judged; if yes, the identity verification is successful, and the experiment is started; if not, the identity verification fails, and the face information collection is carried out again. Specifically, prior to the start of a lesson, a teacher or a teaching aid has entered relevant student basic information and photo information into a background system.
Further, the experimental host analyzes, processes and feeds back results of images acquired by the multi-angle cameras, and alarms abnormal behaviors, and specifically comprises the following steps:
according to the image information acquired by the nodding imaging head, carrying out abnormal alarm on whether shielding exists on the nodding imaging head, experimental equipment and the hands of a user; and carrying out abnormal alarm on whether the upward shooting image head is shielded, the identity and the behavior of the user according to the image information acquired by the upward shooting image head.
Wherein, carry out unusual warning to experimental facilities, specifically include: judging whether the experimental equipment with the designated number is acquired in the operation process according to the number of the experimental equipment acquired by the nodding camera, and triggering an alarm if the experimental equipment with the designated number is not acquired in the set time; judging whether the experimental equipment with the designated number is replaced in the operation process; if yes, triggering an alarm; judging whether a plurality of operation devices appear in the operation process; if yes, an alarm is triggered.
The method for alarming the abnormality of the hand of the user specifically comprises the following steps: judging whether the hands of the user appear in an operation area in the operation process according to the number of the hands of the user collected by the pitching imaging camera, and triggering the pitching imaging camera to analyze the video if the hands of the user are not collected in a set time; judging whether the abnormal hand number appears in the operation process, if so, triggering upward shooting image head video analysis; the abnormal hand number refers to the case where the hand number is greater than 2.
The method for carrying out abnormal alarm on the identity and the behavior of the user specifically comprises the following steps: after abnormal alarming is carried out on the hands of the user, judging whether the user leaves the experiment table or is replaced according to the user information acquired by the upward shooting image head; if yes, triggering an alarm; in the whole experimental process, judging whether user replacement occurs or not according to user images captured by the upward shooting image head at intervals of set time, and if so, triggering an alarm. According to the embodiment of the invention, the upward shooting cameras can randomly take shots at intervals of 10-15min, and whether students replace the cameras in the experimental process is checked.
In order to explain the above system in detail, this embodiment provides an experiment investigation system for electronic circuit experiments. The equipment required for the electronic circuit experiment comprises: a bread board for students to operate, a power generator for supplying power and a waveform display. The student operates and builds a circuit on the bread board, the gravity center of the whole experiment is the gravity center, and the waveform display is used for displaying the waveform of signals generated by the built circuit. Corresponding numbers are engraved on the bread board, a nodding camera is arranged right above the experiment table, and a pitching camera is arranged on the experiment table.
The specific using steps are as follows:
s1: the teacher matches the student with the experiment table and the bread board and informs the student;
s2: the students take the corresponding bread boards and find out the own experiment table, and start experiments through the application of the interactive terminal;
s3: the student clicks on the student end to start verification authorization operation, the face is shot by the upward shooting image head and matched with the face information, if normal, the student enters an experimental environment, and if failure, the student re-shoots;
s4: the nodding camera and the pitching camera monitor the operation of the students in real time, and if abnormality is found, abnormal events are recorded and a teacher is notified. The alarm content is as follows: 1) When the specified bread board is not detected, displaying: the designated bread board is not placed in the operation area. 2) When the specified equipment finds change or a plurality of bread boards exist, displaying: no bread board belonging to your own is used. 3) When no hand is detected and no face is detected by face-lifting, displaying: leave the laboratory bench for a long time. 4) When no hand is detected and the upward shooting confirms that the student himself does not leave the experiment table, displaying: no operation was performed in the bench operation area. 5) When the number of hands is abnormal and face information of other classmates appears in the face is confirmed by upward shooting, the method comprises the following steps of: and (5) operating by multiple persons. 6) The facial information of other classmates appears when the random nodding, display: and (5) replacing the person to operate. 7) When the nodding is blocked, display: the head is shielded from the nodding. 8) When the upward shooting is blocked, displaying: the upward shooting head is not blocked.
S5: when the current experiment stage is completed, the students confirm the experiment data through the interactive terminal;
s6: after the confirmation is finished, the student initiates an application for ending the experiment at the interactive terminal;
s7: recording the current student operation condition by the nodding camera, and polling and recording various data displayed by the experimental instrument by the fixed camera;
s8: the teacher verifies after receiving the application and the submitted data, and the teacher successfully verifies the application and the submitted data, and enters the next stage of the experiment or selects the end of the experiment.
For the above embodiment, the investigation system provided by the present invention effectively avoids the following situations, as shown in table 1:
TABLE 1
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (1)
1. An intelligent experiment investigation system based on multi-scene video analysis is characterized by comprising: the system comprises an interaction terminal, a multi-angle camera and an experiment host;
the interaction terminal is used for carrying out man-machine interaction with a user, realizing identity verification, experimental authorization and experimental data submission; the method specifically comprises the following steps:
the experimental equipment, the experimental table and the user are respectively numbered and matched one by one;
the user applies for entering an experiment through the interactive terminal on the experiment table with the matched number;
the face information of the user is collected by the upward shooting image head, and whether the face information is consistent with the face information matched with the background is judged; if yes, the identity verification is successful, and the experiment is started; if not, the identity verification fails, and the face information collection is carried out again;
the multi-angle camera is used for collecting experimental data displayed by an operation area, user operation behaviors and an experimental instrument in the experimental process at multiple angles; the multi-angle camera comprises a nodding camera, a pitching camera and a fixed camera;
the nodding imaging head is fixed right above the operation area of the experiment table and is used for acquiring images in the experimental process of the operation area; the image data specifically collected comprises the serial numbers of experimental equipment and the number of hands of users
The upward shooting image head is fixed on a desktop beside an operation area of the experiment table and is used for collecting images of the behavior actions of a user;
the fixed camera is fixed at the edge of the experiment table and used for collecting images of experimental data displayed by the experimental instrument;
the experimental host is used for analyzing, processing and feeding back results of images acquired by the multi-angle cameras and alarming abnormal behaviors; the method specifically comprises the following steps: according to the image information acquired by the nodding imaging head, carrying out abnormal alarm on whether shielding exists on the nodding imaging head, experimental equipment and the hands of a user; according to the image information acquired by the upward shooting image head, carrying out abnormal alarm on whether the upward shooting image head is shielded, the identity and the behavior of a user;
wherein, carry out unusual warning to experimental facilities, specifically include: judging whether the experimental equipment with the designated number is acquired in the operation process according to the number of the experimental equipment acquired by the nodding camera, and triggering an alarm if the experimental equipment with the designated number is not acquired in the set time; judging whether the experimental equipment with the designated number is replaced in the operation process; if yes, triggering an alarm; judging whether a plurality of operation devices appear in the operation process; if yes, triggering an alarm;
the method for alarming the abnormality of the hand of the user specifically comprises the following steps: judging whether the hands of the user appear in an operation area in the operation process according to the number of the hands of the user collected by the pitching imaging camera, and triggering the pitching imaging camera to analyze the video if the hands of the user are not collected in a set time; judging whether the abnormal hand number appears in the operation process, if so, triggering upward shooting image head video analysis; the abnormal hand number refers to the case that the hand number is greater than 2;
the method for carrying out abnormal alarm on the identity and the behavior of the user specifically comprises the following steps: after abnormal alarming is carried out on the hands of the user, judging whether the user leaves the experiment table or is replaced according to the user information acquired by the upward shooting image head; if yes, triggering an alarm; in the whole experimental process, judging whether user replacement occurs or not according to user images captured by the upward shooting image head at intervals of set time, and if so, triggering an alarm.
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