CN115883822B - Method and device for debugging camera of online examination system and storage medium - Google Patents
Method and device for debugging camera of online examination system and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device and a storage medium for debugging a camera of an online examination system, wherein the method comprises the following steps: when triggering a camera detection process, determining a camera which is accessed currently according to hardware information; when a plurality of accessed cameras are detected, selecting a target camera from the cameras; when the shooting of the target camera is normal, starting a face verification process; and when the shooting of the target camera is abnormal, skipping and executing the step of selecting the target camera from the cameras. The problem that examination is delayed possibly due to complex debugging programs of the camera when an online examination system is used for examination is solved. The effect of simplifying the camera debugging process is achieved.
Description
Technical Field
The application relates to the technical field of computer software information, in particular to a method and a device for debugging a camera of an online examination system and a storage medium.
Background
With the advent of the informatization age, it has become increasingly common to use computers to implement online examinations. Compared with off-line paper examination, the on-line examination has lower cost and high efficiency, and the current on-line examination does not need an examinee to take the examination on the appointed examination equipment, so that the on-line examination has no regional limitation.
When the on-line examination system of the PC end is used, a plurality of ways of carrying out associated debugging on the computer and the examination monitoring equipment are provided, and the on-line examination at home is different from the on-site centralized unified examination equipment, so that the on-line examination is uniformly maintained, when the multi-examination monitoring equipment is encountered, or a plurality of examinees do not know the hardware debugging of the computer equipment, when the examination monitoring equipment is encountered with problems, the examinees are often delayed for a plurality of times, and the examinees are delayed to enter the on-line examination system, so that the examination is delayed or the examination is missed.
Therefore, there is a need to provide a method, a device and a storage medium for debugging a camera of an online examination system, so as to solve the above problems.
Disclosure of Invention
According to the method, the device and the storage medium for debugging the camera of the online examination system, the problem that excessive examination time is occupied due to the fact that the camera debugging process is complicated or the camera equipment is not understood by an examinee when the examinee uses the online examination system is solved, the fact that a certain camera equipment identified by the online examination system has no plug-flow picture when the examinee encounters multiple camera equipment can be intelligently and automatically switched with other camera equipment, and whether the examinee is allowed to select and switch the camera equipment according to requirements is solved, the effect of simplifying the camera debugging process is achieved, and the time for the examinee to encounter problems is greatly saved.
The embodiment of the application provides a method for debugging a camera of an online examination system, which comprises the following steps:
when triggering a camera detection process, determining a camera which is accessed currently according to hardware information;
when a plurality of accessed cameras are detected, selecting a target camera from the cameras;
when the shooting of the target camera is normal, starting a face verification process;
and when the shooting of the target camera is abnormal, skipping and executing the step of selecting the target camera from the cameras.
Optionally, when the target camera is shooting normally, the step of starting the face verification process includes:
detecting whether plug flow information of the target camera is received or not;
and if the plug flow information is received, determining that the shooting of the target camera is normal.
Optionally, after the step of skipping the step of selecting the target camera from the cameras when the target camera is abnormal, the method includes:
if the imaging of the plurality of accessed cameras is abnormal, sending out imaging abnormal information;
and executing the step of determining the currently accessed camera according to the hardware information when the camera detection process is triggered again.
Optionally, when detecting a plurality of accessed cameras, after the step of selecting a target camera from the cameras, the method further includes:
when no plug flow information of the target camera is received, detecting whether the access action of the target camera is intercepted;
and if the camera is intercepted, executing the step of selecting a target camera from the cameras after the interception is released.
Optionally, after the step of starting the face verification process when the target camera is shooting normally, the method further includes:
when a re-debugging request is received, determining camera hardware information corresponding to the re-debugging request;
and determining the camera corresponding to the camera hardware information as the target camera.
Optionally, after the step of determining the currently accessed camera according to the hardware information, the method includes:
generating a camera test sheet according to the hardware information and displaying the camera test sheet on a screen;
and when a camera access request is received, connecting with the camera according to a camera access interface of the camera access request.
Optionally, before the step of determining the currently accessed camera according to the hardware information when triggering the camera detection process, the method includes:
acquiring login information of an examinee, and loading camera hardware information of terminal equipment provided with the online examination system;
and acquiring hardware information of a default camera of the system, and taking the default camera of the system as the target camera.
Optionally, after the step of using the default camera of the system as the target camera, the method includes:
detecting whether the system default camera plug flow information exists;
if the system default camera plug flow information is not detected, executing the step of determining the currently accessed camera according to the hardware information;
and if the default camera plug flow information is detected, executing a step of starting a face verification process.
In addition, in order to achieve the above purpose, the embodiment of the present invention further provides an online test system camera debugging device, which includes a memory, a processor, and an online test system camera debugging program stored in the memory and capable of running on the processor, where the processor implements the method as described above when executing the online test system camera debugging program.
In addition, in order to achieve the above object, an embodiment of the present invention further provides a computer readable storage medium, where an online test system camera debugging program is stored, where the method described above is implemented when the online test system camera debugging program is executed by a processor.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
when triggering the camera detection process, determining the camera which is accessed currently according to the hardware information, and if a plurality of cameras are detected, selecting a target camera from the detected cameras. And when the shooting of the target camera is normal, starting a face verification process. When the target camera is abnormal, the step of selecting the target camera from the cameras is skipped. The problem that examination time is occupied due to the fact that an examinee is unfamiliar with equipment when debugging a camera of an online examination system is effectively solved. The online examination system can automatically complete the debugging of the camera, and the time occupied by the debugging of the camera is reduced.
Drawings
Fig. 1 is a schematic flow chart of a first embodiment of a method for debugging a camera of an online examination system according to the present application;
FIG. 2 is a debugging flow chart of the method for debugging the camera of the on-line examination system of the present application;
FIG. 3 is an interface diagram of the online examination system of the present application;
FIG. 4 is another debugging flow chart of the camera debugging method of the online examination system of the present application;
fig. 5 is a schematic flow chart of a second embodiment of a camera debugging method of the online examination system of the present application;
FIG. 6 is a further debugging flow chart of the camera debugging method of the online examination system of the present application;
fig. 7 is a schematic flow chart of a third embodiment of a camera debugging method of an online examination system of the present application;
fig. 8 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present application.
Detailed Description
The method for debugging the camera of the online examination system is applied to the online examination system, and can give prompt and solution of popup windows for the examinee to solve the problems by self, and specifically comprises the following steps: when the camera detection process is triggered, the camera which is accessed currently is determined according to the hardware information. When detecting that the online examination system has a plurality of accessed cameras, selecting a target camera from the plurality of cameras. If the target camera is judged to be normal, a face verification process is started; if the target camera is abnormal, the step of selecting the target camera from the cameras is skipped, and other cameras are selected from the accessed cameras again. Therefore, the camera is debugged more quickly and conveniently, the face recognition verification process is entered more quickly, and the online examination system is entered for corresponding examination.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Example 1
In this embodiment, a method for debugging a camera of an online examination system is provided.
Referring to fig. 1, the method for debugging the camera of the online examination system of the embodiment includes the following steps:
step S100: when triggering a camera detection process, determining a camera which is accessed currently according to hardware information;
the hardware information refers to configuration information of the camera, such as information of a camera model, an access interface and the like.
As an optional implementation manner, after an examinee logs in an online examination system, an equipment debugging function module of a camera detection process is triggered, and all camera equipment with a recording function, such as a computer camera, an external USB camera and the like, which is currently accessed into the system is determined according to the detected camera hardware information.
For example, when the examinee performs a home examination, there is a difference in computer configuration due to the different hardware of the examination device of each examinee when using the on-line examination system. Some examination computer camera equipment of examinees is too old and even cannot be used, and needs to be externally connected with a USB camera, so that the examination equipment has the condition of multiple cameras. In this case, at least one camera can be detected by the camera detection process of the device debug function module, and the hardware information of each camera is obtained and determined.
Referring to fig. 2, after all cameras currently accessing the on-line examination system are determined according to hardware information, a callable camera debugging table is generated and displayed on a screen of the examination apparatus. When a camera access request is received, connecting the corresponding cameras according to the camera access interfaces corresponding to the camera access request.
After an examinee logs in an online examination system, the device debugging function module enters a device debugging process, namely triggers a camera detection process, and obtains all cameras according to hardware information of an access computer. And displaying the selectable cameras on a screen, wherein the examinee can directly select the cameras to be connected according to actual conditions. After receiving the camera selected by the examinee, the computer is connected with the camera according to the access interface of the selected camera.
Alternatively, after determining all cameras currently accessing the online examination system according to the hardware information, a drop-down frame option may be generated according to each camera. After clicking the drop-down frame, the examinee can select the camera to be used according to actual needs.
Step S200: when a plurality of accessed cameras are detected, selecting a target camera from the cameras;
in this embodiment, after detecting a plurality of accessed cameras, the online examination system automatically selects a target camera from the plurality of accessed cameras, where the target camera is a camera used in an examination process.
As an alternative embodiment, when a plurality of cameras are detected, a camera with a higher priority may be selected as the target camera according to a preset priority.
For example, when the cameras connected to the devices of the online examination system are a computer camera, an external USB camera a, and an external bluetooth camera B, respectively, and the priorities are a computer camera-external USB camera a-external bluetooth camera B, the examination system is preferentially connected to the computer camera. If the plug flow of the computer camera is abnormal, the computer camera is connected with the external USB camera A; and the external USB camera A is connected with the external Bluetooth camera B when abnormal. Therefore, the camera is automatically debugged by the examination system.
As another alternative, when there are multiple cameras that have been accessed, the system may select a spare camera after selecting the target camera. If the pushing flow of the target camera is abnormal in the examination process, the standby camera can be directly connected in a jumping mode, and the time of monitoring video frame breaking when the pushing flow is interrupted is reduced.
In an exemplary embodiment, the online examination system determines the target camera according to the configuration performance of each accessed camera and the transmission rate of the video frames acquired by each camera, and then selects another accessed camera with the usage performance inferior to that of the target camera as the standby camera. If the target camera is abnormal in the examination process, such as special conditions of connection interruption and the like, the system can be automatically connected with the standby camera.
Step S300: when the shooting of the target camera is normal, starting a face verification process;
in this embodiment, referring to fig. 3, when the target camera detects that it is normal, it directly enters into the identity verification link of the examinee, and starts the face verification process.
As an alternative implementation manner, the online examination system judges whether the shooting of the target camera is normal or not by detecting whether the plug flow information of the target camera is received or not. And when the plug flow information is received, determining that the shooting of the target camera is normal. If the push flow information is not received, the abnormal shooting of the target camera is judged.
Illustratively, after the target camera captures a picture, the captured video data is automatically pushed to the server. If the preset time after the target camera is connected, for example, 1-3 seconds, the server receives the push stream data, which indicates that the current target camera is normal.
As another alternative implementation manner, after the face verification process is started, the examinee can choose whether to debug the camera again according to actual needs or to replace other cameras as target cameras. If the online examination system receives the re-debugging request, determining camera hardware information corresponding to the re-debugging request, and directly connecting with the appointed camera.
For example, the plug flow data sent to the server by the target camera is displayed on the interface of the online examination system, and if the collected images are not displayed normally and need to be optimized, the camera debugging process can be selected to be executed again. After the current target camera is eliminated, a re-debugging request is initiated.
Alternatively, referring to fig. 3, the student may also directly select a camera to be used according to a camera drop-down frame displayed on the screen. Or when the examination needs to use a plurality of cameras at the same time, and the examination environment is checked in all directions, an examinee can directly select the corresponding camera in the camera drop-down frame to check whether the pictures acquired by the cameras are normal or not.
Step S400: and when the shooting of the target camera is abnormal, skipping and executing the step of selecting the target camera from the cameras.
In this embodiment, when the target camera detects an abnormality, the process jumps to the step of determining the target camera, and the target camera is selected from the remaining accessed cameras.
As an alternative implementation manner, referring to fig. 4, when no push data of the target camera is received, that is, when no screen is displayed on the screen, the online examination system automatically identifies other cameras, and when the online examination system is connected with the other cameras, the push data can be acquired, and then the face recognition process is performed.
As another alternative implementation manner, if the detected images of all the accessed cameras are abnormal, sending out abnormal image information to remind the examinee of needing to carry out manual debugging. And entering a standby state, and when the camera detection process is triggered again, executing the step of determining the currently accessed camera according to the hardware information, or directly connecting with the specific camera according to the appointed hardware information.
For example, during the actual operation, the computer may not be in communication connection with the camera due to abnormal contact of the USB plug or interference of the bluetooth signal, which may cause abnormal imaging. The camera is abnormal caused by external interference, the computer cannot be automatically repaired, and the camera can be re-entered into the debugging process after external interference is required to be removed.
In this embodiment, when the camera detection process is triggered, the online examination system determines the camera of the current access system according to the detected hardware information, and if a plurality of cameras are detected, one of the plurality of cameras is selected as a target camera. If the shooting of the target camera is normal, starting a face verification process; and if the target camera is abnormal, disconnecting the connection with the current camera, connecting the current camera with other cameras, and re-determining the target camera. Therefore, the computer automatically determines the target camera, and the debugging of the camera is completed. The time for debugging the camera by the examinee can be greatly saved, and the examination delay is prevented.
Example two
Based on the first embodiment, referring to fig. 5, before the step of determining the currently accessed camera according to the hardware information when triggering the camera detection process, the method includes the following steps:
step S001: acquiring login information of an examinee, and loading camera hardware information of terminal equipment provided with the online examination system;
step S002: and acquiring hardware information of a default camera of the system, and taking the default camera of the system as the target camera.
In this embodiment, the online examination system may be installed on a terminal device, and the terminal device itself may be configured with a camera, and may be externally connected to the camera.
As an alternative implementation manner, referring to fig. 6, after the examinee logs in the online examination system through information such as an account number and a password of the examinee, a device debugging function module, that is, a device debugging program is triggered, and camera hardware information connected with the terminal device is automatically loaded. If the terminal equipment is provided with the default camera, the default camera is directly started, and the default camera is used as the target camera.
Step S003: detecting whether the system default camera plug flow information exists;
step S004: if the system default camera plug flow information is not detected, executing the step of determining the currently accessed camera according to the hardware information;
step S005: and if the default camera plug flow information is detected, executing a step of starting a face verification process.
In this embodiment, after the default camera is used as the target camera, it is required to detect whether the default camera is available, if so, the face verification process is directly started, otherwise, other cameras are reloaded.
As an alternative embodiment, whether the camera is normal may be determined according to whether the server receives push data of the target camera. If the push data is received, the picture corresponding to the received push data is directly displayed on the computer screen.
When the camera connected with the terminal device installed with the online examination system is provided with the camera A, the camera B and the camera C, if the camera C is set as a default camera, after the examinee logs in the system and triggers the camera detection process, the detected camera hardware information is matched with the hardware information of the default camera. And starting the default camera according to the determined hardware information of the default camera according to the matching result. And when the camera is normal, displaying a recorded and shot picture. When the camera has no picture, that is, no push data is detected, the camera A or the camera B is loaded, and after other cameras are loaded successfully, whether other cameras are normally available is judged. If the current data cannot be loaded to other cameras, a debugging failure prompt is sent, manual assistance is needed for debugging, and when the current data is successfully received, successful debugging is determined, and a camera picture is displayed. If the push data cannot be received within the preset time, judging that the debugging fails and the test cannot be entered.
In this embodiment, the online examination system may set a default camera, and the online examination system with the default camera may directly start the default camera without the step of determining the target camera through searching, so as to speed up the speed of entering the face verification process. Meanwhile, in order to prevent the sudden failure of the camera, when the default camera is not available, the system can reload other cameras, and the problem that the examinee is delayed to enter an examination due to the fact that the default camera is not available is avoided.
Example III
Based on the above embodiments, another embodiment of the present application is presented. Referring to fig. 7, when a plurality of accessed cameras are detected, after the step of selecting a target camera from among the cameras, the method further comprises the steps of:
step S210: when no plug flow information of the target camera is received, detecting whether the access action of the target camera is intercepted;
step S220: and if the camera is intercepted, executing the step of selecting a target camera from the cameras after the interception is released.
In this embodiment, the online test system cannot receive the push information of the camera, possibly because the camera is intercepted by other software in the device in which the online test system is installed, and the step of selecting the target camera is re-executed after the interception is released.
As an alternative implementation manner, if the terminal device of the online examination system is installed with security software, the security software may automatically shield the external camera, so when the online examination system is used, it is usually required to close the security software first or open the authority for allowing the external camera to access.
For example, if the configuration information of the target camera is determined, the push information of the target camera cannot be received, and whether the configuration information of the target camera exists in the interception process of the security software can be directly detected. If the target camera exists, after interception is released, the target camera is determined again, and the plug flow information of the target camera is detected again.
As another alternative, the online test system cannot receive the push information of the camera, and may be due to the fact that the device in which the online test system is installed does not have the camera authority to open the online test system, in addition to the camera failure, the abnormal interface, or the interception by the security software.
In an exemplary embodiment, when the cameras detected by the test system cannot be displayed normally, that is, the plug-flow data of the cameras cannot be received, whether the permission is set for the use of the cameras by the online test system in the permission management of the terminal device installed with the online test system can be detected, if yes, the permission modification information is popped up, and the camera permission is opened according to the received instruction.
Optionally, in order to avoid the problem that the camera cannot be normally connected to the online examination system due to software interception or permission limitation, so that examination time is occupied. After logging in the online examination system, whether a software interception problem or a permission limitation problem exists or not can be detected, and after the fact that the problem does not exist is determined, the step of determining the target camera according to the detected hardware information is executed.
In this embodiment, the camera may be intercepted by other software installed in the terminal device of the online test system, so that the online test system may not be able to acquire the data acquired by the camera. When configuration information of the camera exists in interception information of other software, after interception is removed, the target camera is reselected, and debugging of the camera is completed.
Example IV
In an embodiment of the application, a camera debugging device of an online examination system is provided.
Referring to fig. 8, fig. 8 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present application. The device for debugging the camera of the online examination system can comprise: a processor 1001, such as a CPU, a network interface 1003, memory 1004, and a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The network interface 1003 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1004 may be a high-speed RAM memory or a stable memory such as a disk memory. The memory 1004 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the terminal structure shown in fig. 8 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 8, an operating system, a network communication module, and an online examination system camera debugging program may be included in the memory 1004, which is a kind of computer storage medium.
In the on-line test system camera debugging apparatus hardware structure shown in fig. 8, the processor 1001 may call the on-line test system camera debugging program stored in the memory 1004 and perform the following operations:
when triggering a camera detection process, determining a camera which is accessed currently according to hardware information;
when a plurality of accessed cameras are detected, selecting a target camera from the cameras;
when the shooting of the target camera is normal, starting a face verification process;
and when the shooting of the target camera is abnormal, skipping and executing the step of selecting the target camera from the cameras.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
detecting whether plug flow information of the target camera is received or not;
and if the plug flow information is received, determining that the shooting of the target camera is normal.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
if the imaging of the plurality of accessed cameras is abnormal, sending out imaging abnormal information;
and executing the step of determining the currently accessed camera according to the hardware information when the camera detection process is triggered again.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
when no plug flow information of the target camera is received, detecting whether the access action of the target camera is intercepted;
and if the camera is intercepted, executing the step of selecting a target camera from the cameras after the interception is released.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
when a re-debugging request is received, determining camera hardware information corresponding to the re-debugging request;
and determining the camera corresponding to the camera hardware information as the target camera.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
generating a camera test sheet according to the hardware information and displaying the camera test sheet on a screen;
and when a camera access request is received, connecting with the camera according to a camera access interface of the camera access request.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
acquiring login information of an examinee, and loading camera hardware information of terminal equipment provided with the online examination system;
and acquiring hardware information of a default camera of the system, and taking the default camera of the system as the target camera.
Optionally, the processor 1001 may call the online examination system camera debugging program stored in the memory 1004, and further perform the following operations:
detecting whether the system default camera plug flow information exists;
if the system default camera plug flow information is not detected, executing the step of determining the currently accessed camera according to the hardware information;
and if the default camera plug flow information is detected, executing a step of starting a face verification process.
In addition, in order to achieve the above objective, the embodiment of the present invention further provides a storage medium, specifically, the storage medium may be a computer readable storage medium, where an online test system camera debugging program is stored on the storage medium, and when the online test system camera debugging program is executed by a processor, the online test system camera debugging method as described above is implemented.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (7)
1. The method for debugging the camera of the online examination system is characterized by being applied to the online examination system, and comprises the following steps of:
acquiring login information of an examinee, and loading camera hardware information of terminal equipment provided with the online examination system;
acquiring hardware information of a default camera of a system, and taking the default camera of the system as a target camera;
detecting whether the system default camera plug flow information exists;
if the system default camera plug flow information is detected, starting a face verification process;
if the system default camera plug flow information is not detected, determining all cameras with recording functions which are accessed currently according to hardware information; the camera comprises a computer camera, an external USB camera and an external Bluetooth camera;
when a plurality of accessed cameras are detected, selecting a target camera from the cameras; according to the preset priority, a camera with a higher priority is selected as the target camera; or, a camera drop-down frame is displayed on a screen of the online examination system, all the accessed cameras with recording functions are displayed in the camera drop-down frame, the target camera is selected in the camera drop-down frame, and at least one target camera is selected;
detecting whether plug flow information of the target camera is received or not;
if the plug flow information is received, determining that the shooting of the target camera is normal;
when the shooting of the target camera is normal, entering an identity verification link of an examinee, and starting a face verification process;
and when the shooting of the target camera is abnormal, skipping to execute the step of selecting the target camera from the cameras, and selecting the target camera from the rest accessed cameras.
2. The method of claim 1, wherein, after the step of skipping to perform the step of selecting the target camera from among the cameras when the target camera is abnormal, comprising:
if the imaging of the plurality of accessed cameras is abnormal, sending out imaging abnormal information;
triggering a camera detection process, and executing the step of determining all cameras with recording functions which are accessed currently according to hardware information.
3. The method of claim 1, wherein when a plurality of accessed cameras are detected, after the step of selecting a target camera from the cameras, further comprising:
when no plug flow information of the target camera is received, detecting whether the access action of the target camera is intercepted;
and if the camera is intercepted, executing the step of selecting a target camera from the cameras after the interception is released.
4. The method of claim 1, wherein the step of entering an examinee authentication link and starting a face authentication process when the target camera is capturing a normal image further comprises:
when a re-debugging request is received, determining camera hardware information corresponding to the re-debugging request;
and determining the camera corresponding to the camera hardware information as the target camera.
5. The method of claim 1, wherein after the step of determining all cameras with recording functions currently accessed according to the hardware information, the method comprises:
generating a camera test sheet according to the hardware information and displaying the camera test sheet on a screen;
and when a camera access request is received, connecting with the camera according to a camera access interface of the camera access request.
6. An on-line examination system camera debugging device, which is characterized by comprising a memory, a processor and an on-line examination system camera debugging program stored on the memory and capable of running on the processor, wherein the method of any one of claims 1-5 is realized when the processor executes the on-line examination system camera debugging program.
7. A storage medium, wherein an online test system camera debugging program is stored on the storage medium, and when the online test system camera debugging program is executed by a processor, the method of any one of claims 1-5 is implemented.
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