CN115883822A - 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 a camera detection process is triggered, determining a currently accessed camera according to hardware information; when a plurality of accessed cameras are detected, selecting a target camera from the cameras; when the target camera is normal, starting a face verification process; and when the target camera is abnormal, skipping to execute the step of selecting the target camera in the cameras. The problem of delaying examinations due to complex debugging programs of the camera when the online examination system is used for examinations is solved. The effect of simplifying the debugging process of the camera is realized.
Description
Technical Field
The present application relates to the field of computer software information technology, and in particular, to a method and an apparatus for debugging a camera in an online examination system, and a storage medium.
Background
With the advent of the information age, it has become more common to implement online examinations using computers. Compared with an offline paper examination, the online examination has the advantages of lower cost and high efficiency, and the current online examination does not need examinees to visit appointed examination equipment and has no regional limitation.
When the online examination system of the PC terminal is used, the modes of performing related debugging on a computer and examination monitoring equipment are multiple, the home online examination is completely unified and maintained unlike the centralized unified examination equipment on the site, when multiple examination monitoring equipment is encountered, or the hardware debugging of the computer equipment is not understood by many examinees, and when the examination monitoring equipment has problems, the time of the examinees is often delayed, so that the examinees are delayed to enter the online examination system, and the examination is delayed or missed.
Therefore, it is desirable to provide a method, an apparatus and a storage medium for debugging a camera of an online examination system to solve the above problems.
Disclosure of Invention
The embodiment of the application provides a camera debugging method, a device and a storage medium for an online examination system, and solves the problem that when an examinee uses the online examination system, too much examination time is occupied probably because the camera debugging process is complicated or the examinee does not know how to debug the camera equipment, and when multiple camera equipment is met, a certain camera equipment identified by the online examination system does not have a plug-flow picture, whether other camera equipment can be intelligently and automatically switched, and whether the examinee is allowed to selectively switch the camera equipment as required, so that the effect of simplifying the camera debugging process is realized, and the time for the examinee to meet the problem processing is greatly saved.
The embodiment of the application provides a camera debugging method for an online examination system, which comprises the following steps:
when a camera detection process is triggered, determining a currently accessed camera according to hardware information;
when a plurality of accessed cameras are detected, selecting a target camera from the cameras;
when the target camera is normal, starting a face verification process;
and when the target camera is abnormal, skipping to execute the step of selecting the target camera in the cameras.
Optionally, when the target camera is normal, the step of starting the face verification process includes:
detecting whether the stream pushing information of the target camera is received or not;
and if the plug flow information is received, determining that the target camera is normal in camera shooting.
Optionally, when the target camera is abnormal, after skipping the step of executing the step of selecting the target camera from the cameras, the method includes:
if the cameras of the accessed cameras are abnormal, sending abnormal camera shooting information;
and when waiting for triggering the camera detection process again, executing the step of determining the currently accessed camera according to the hardware information.
Optionally, when a plurality of accessed cameras are detected, after the step of selecting a target camera from the cameras, the method further includes:
when the stream pushing information of the target camera is not received, detecting whether the access action of the target camera is intercepted or not;
and if the camera is intercepted, executing the step of selecting a target camera in the camera after the interception is removed.
Optionally, after the step of starting the face verification process when the target camera is normal, 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 debugging table according to the hardware information and displaying the camera debugging table on a screen;
and when a camera access request is received, connecting the camera with a 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 the camera detection process is triggered, the method includes:
obtaining the login information of an examinee, and loading the hardware information of a camera of the terminal equipment provided with the online examination system;
and acquiring hardware information of a system default camera, and taking the system default camera as the target camera.
Optionally, after the step of using the system default camera as the target camera, the method includes:
detecting whether system default camera plug-flow information exists or not;
if the system default camera plug-flow information cannot be detected, executing a step of determining a currently accessed camera according to hardware information;
and if the default camera plug-flow information is detected, executing a step of starting a face verification process.
In addition, to achieve the above object, an 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 that is stored in the memory and can be run on the processor, where when the processor executes the online test system camera debugging program, the method described above is implemented.
In addition, to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, on which an online test system camera debugging program is stored, and when the online test system camera debugging program is executed by a processor, the method is implemented.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
when a camera detection process is triggered, a currently accessed camera is determined according to hardware information, and if a plurality of cameras are detected, a target camera is selected from the detected plurality of cameras. And when the target camera is in normal shooting, starting a face verification process. And when the target camera is abnormal, skipping to execute the step of selecting the target camera from the plurality of cameras. The problem that examination time is occupied due to the fact that examinees are not familiar with equipment when cameras of an online examination system are debugged is effectively solved. The online examination system can automatically complete the debugging of the camera, and the time for debugging the camera is reduced.
Drawings
Fig. 1 is a schematic flowchart illustrating a first embodiment of a camera debugging method for an online examination system according to the present application;
fig. 2 is a debugging flowchart of the camera debugging method of the online examination system according to the present application;
FIG. 3 is an interface diagram of the online examination system of the present application;
fig. 4 is another debugging flowchart of the camera debugging method of the online examination system according to the present application;
fig. 5 is a schematic flowchart illustrating a second embodiment of a camera debugging method for an online test system according to the present application;
FIG. 6 is a flowchart illustrating another debugging process of the method for debugging a camera in an online examination system according to the present application;
fig. 7 is a schematic flowchart of a third embodiment of a camera debugging method for an online examination system according to the present application;
fig. 8 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present application.
Detailed Description
The online examination system is installed on a terminal device, wherein the terminal device includes but is not limited to a computer, a notebook, a tablet and other electronic devices, and because the computer devices of examinees are not uniform, the computer configuration has differences, before the examinees log in the online examination system to perform examinations, some examinees who do not know computer knowledge can not know the situation from the beginning when encountering device abnormalities, for example, some examinees can have a camera black screen without a picture, some can have a camera without recognition, and some can have various problems that the camera is enabled by security software to be protected and the picture is blocked, and the like, and on the basis that the online examination system cannot automatically solve, the on-line examination system selects and debugs the camera for the examinees more conveniently, the application provides a camera debugging method of the online examination system, and the method is applied to the online examination system, and can give a popup prompt and a solution for the examinees to automatically solve conveniently, and specifically, the method includes: and when the camera detection process is triggered, determining the currently accessed camera according to the hardware information. When the fact that the online examination system is provided with a plurality of accessed cameras is detected, a target camera is selected from the cameras. If the target camera is judged to be normal, starting a face verification process; and if the target camera is judged to be abnormal, skipping to execute the step of selecting the target camera from the multiple cameras, and reselecting other cameras from the accessed cameras. Therefore, the camera can be debugged more quickly and conveniently, the human face identification verification process can be accessed more quickly, and the corresponding examination can be performed in the online examination system.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Example one
In the embodiment, a method for debugging a camera of an online examination system is provided.
Referring to fig. 1, the method for debugging a camera of an online test system in the embodiment includes the following steps:
step S100: when a camera detection process is triggered, determining a currently accessed camera according to hardware information;
the hardware information refers to configuration information of the camera, such as a model of the camera, an access interface, and the like.
As an optional implementation manner, after an examinee logs in the online examination system, the device debugging function module of the camera detection process is triggered, and all the camera devices with recording functions, such as a computer camera, an external USB camera and the like, currently accessed to the system are determined according to the detected hardware information of the camera.
For example, when examinees take home examinations and take examinations using the online examination system, there are differences in computer configurations due to differences in examination device hardware of the examinees. Some examinees 'examination computer camera equipment is too old, even can't use, needs external USB camera for examination equipment has the condition of many cameras. In this case, it can be detected that at least one camera is owned through the camera detection process of the device debugging functional module, and the hardware information of each camera is obtained and determined.
Referring to fig. 2, after determining all cameras currently accessed to the online test system according to hardware information, a callable camera debugging table is generated and displayed on a screen of the test device. And when a camera access request is received, connecting the corresponding camera according to the camera access interface corresponding to the camera access request.
Illustratively, after an examinee logs in the online examination system, the device debugging functional module enters a device debugging process, namely, triggers a camera detection process, and acquires all cameras according to hardware information accessed to a computer. The selectable cameras are displayed on the screen, and the examinee can directly select the camera to be connected according to the actual situation. And after receiving the camera selected by the examinee, the computer is connected with the camera according to the access interface of the selected camera.
Optionally, after determining all the cameras currently accessed to the online examination system according to the hardware information, a drop-down box option may be generated according to each camera. After clicking the drop-down box, the examinee can select a 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 optional implementation manner, 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.
Illustratively, when the cameras connected with the devices of the online examination system are respectively a computer camera, an external USB camera A and an external Bluetooth camera B, and the priorities are computer camera-external USB camera A-external Bluetooth camera B, the examination system is preferentially connected with the computer camera. If the computer camera is abnormal in plug flow, the computer camera is connected with an external USB camera A; and the external USB camera A is connected with the external Bluetooth camera B when abnormal. Therefore, the camera can be automatically debugged by the examination system.
As another alternative, when there are multiple connected cameras, the system may select a backup camera after selecting the target camera. If the target camera has abnormal plug flow in the examination process, the standby camera can be directly connected in a skipping mode, and the time of monitoring video frame break when the plug flow is interrupted is shortened.
Exemplarily, after the online examination system determines a target camera according to the configuration performance of each accessed camera and the transmission rate of the video frame acquired by each camera, another accessed camera with the use performance second to that of the target camera is selected as a standby camera. If the target camera is abnormal in the examination process, such as connection interruption and other special conditions, the system can be automatically connected with the standby camera.
Step S300: when the target camera is normal, starting a face verification process;
in this embodiment, referring to fig. 3, when the target camera is detected normally, the examinee directly enters an identity verification link, and a face verification process is started.
As an optional embodiment, the online test system determines whether the target camera is normal by detecting whether the plug-flow information of the target camera is received. And when the plug flow information is received, determining that the target camera is normal. And if the push flow information is not received, judging that the target camera is abnormal.
Illustratively, after the target camera collects the picture, the collected video data is automatically pushed to the server. If the target camera is connected within a preset time, which may be 1-3 seconds, for example, the server receives the plug-flow data, which indicates that the current target camera is normal.
As another optional implementation, after the face verification process is started, the examinee may select whether to debug the camera again according to actual needs, or use another camera as the target camera instead. And if the online examination system receives the re-debugging request, determining the hardware information of the camera corresponding to the re-debugging request, and directly connecting the hardware information with the specified camera.
Illustratively, the plug-flow data sent to the server by the target camera is displayed on an online examination system interface, and if the examinee feels that the acquired picture is displayed abnormally and needs to be optimized, the camera debugging process can be selected to be executed again. After the current target camera can be eliminated, a re-debugging request is initiated.
Alternatively, referring to fig. 3, the test taker may also directly select a camera to be used according to the camera drop-down box displayed on the screen. Or, when the examination needs to use a plurality of cameras simultaneously, and the examination environment is examined in all directions, the examinee can directly select the corresponding camera in the camera drop-down frame and check whether the picture collected by each camera is normal.
Step S400: and when the target camera is abnormal, skipping to execute the step of selecting the target camera in the cameras.
In this embodiment, when the target camera is detected to be abnormal, the step of determining the target camera is skipped, and the target camera is selected from the remaining accessed cameras.
As an optional implementation manner, referring to fig. 4, when the plug flow data of the target camera cannot be received, that is, no picture is displayed on the screen, the online examination system automatically identifies other cameras, and when the plug flow data can be acquired after the online examination system is connected to other cameras, the online examination system enters a face recognition process.
As another optional implementation, if the detection shows that all the cameras connected to the cameras are abnormal, abnormal camera shooting information is sent to remind the examinee of manual debugging. And entering a standby state, and when the detection process of the camera 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 specified hardware information.
For example, in the actual operation process, 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 camera shooting. The abnormal camera shooting caused by the external interference can not be automatically repaired by the computer, and the camera debugging process can be re-entered after the external interference is eliminated.
In this embodiment, when a camera detection process is triggered, the online examination system determines a camera currently accessed to the system according to detected hardware information, and if multiple cameras are detected, one of the multiple cameras is selected as a target camera. If the target camera is normal, starting a face verification process; and if the target camera is dragged abnormally, disconnecting 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 finishes debugging the camera. The time for debugging the camera by the examinee can be greatly saved, and delay of examination is prevented.
Example two
Based on the first embodiment, referring to fig. 5, when a camera detection process is triggered, before the step of determining a currently accessed camera according to hardware information, the method includes the following steps:
step S001: acquiring examinee login information, and loading camera hardware information of terminal equipment provided with the online examination system;
step S002: and acquiring hardware information of a system default camera, and taking the system default camera 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 optional implementation manner, referring to fig. 6, after an examinee logs in the online examination system through information such as an examinee account number and a password, 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. And if the terminal equipment is provided with the default camera, directly starting the default camera, and taking the default camera as a target camera.
Step S003: detecting whether system default camera plug-flow information exists or not;
step S004: if the system default camera stream pushing information cannot be detected, executing a step of determining a currently accessed camera according to 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 regarding the default camera as the target camera, it is necessary to detect whether the default camera is usable, and if usable, 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 the stream pushing data of the target camera. And if the plug flow data is received, directly displaying a picture corresponding to the received plug flow data on a computer screen.
Illustratively, when the camera connected with the terminal device installed with the online examination system comprises a camera A, a camera B and a camera C, if the camera C is set as a default camera, the examinee logs in the system and triggers a camera detection process, and then detected hardware information of the camera is matched with hardware information of the default camera. And starting the default camera according to the matching result and the determined default camera hardware information. When the camera is normal, the recorded and shot picture is displayed. And when the camera has no picture, namely, the plug-flow data cannot be detected, loading the camera A or the camera B, and after successfully loading other cameras, judging whether the other cameras are normally available. If the push stream data cannot be loaded to other cameras, sending out a debugging failure prompt, needing manual assistance for debugging, determining that the debugging is successful when the push stream data is successfully received, and displaying the camera picture. If the plug flow data cannot be received within the preset time, the debugging is judged to fail, and the examination cannot be entered.
In this embodiment, the online examination system can set a default camera, and the online examination system with the default camera can directly start the default camera without the step of retrieving to determine a target camera, so as to accelerate the speed of entering the face verification process. Meanwhile, in order to prevent sudden failure of the camera, when the default camera is unavailable, the system can reload other cameras, so that delay of entrance examination of the examinee due to the fact that the default camera is unavailable is avoided.
EXAMPLE III
Based on the above embodiments, another embodiment of the present application is proposed. Referring to fig. 7, when a plurality of accessed cameras are detected, after the step of selecting a target camera from the cameras, the method further includes the following steps:
step S210: when the stream pushing information of the target camera is not received, detecting whether the access action of the target camera is intercepted or not;
step S220: and if the camera is intercepted, executing a step of selecting a target camera in the camera after the interception is removed.
In this embodiment, the online test system cannot receive the plug-flow information of the camera, which may be because the camera is intercepted by other software in the device in which the online test system is installed, and after the interception is released, the step of selecting the target camera is executed again.
As an optional implementation manner, if the terminal device equipped with the online examination system is also equipped with security software, the security software may automatically shield the external camera, so when using the online examination system, it is usually necessary to first turn off the security software or open the permission allowing the external camera to access.
For example, if the target camera cannot be received after being determined according to the configuration information, it may be directly detected whether the configuration information of the target camera exists in the interception process of the security software. If the target camera exists, after the interception is removed, the target camera is determined again, and the plug flow information of the target camera is detected again.
As another optional embodiment, the online test system cannot receive the plug-flow information of the camera, and may not only be due to a camera failure, an abnormal interface, or being intercepted by security software, but also be due to the fact that the device on which the online test system is installed does not have a camera right to open the online test system.
Illustratively, when all the cameras detected by the examination system cannot normally display, that is, when the plug-flow data of all the cameras cannot be received, it may be detected whether the authority is set for using the cameras by the online examination system in the authority management of the terminal device in which the online examination system is installed, if so, the authority modification information is popped up, and the authority of the cameras is opened according to the received instruction.
Optionally, the problem that the examination time is occupied due to the fact that the camera cannot normally access the online examination system due to software interception or permission limitation is solved. After logging in the online examination system, whether a software interception problem or an authority limitation problem exists is detected, and after the fact that the software interception problem or the authority limitation 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 of the terminal device installed with the online examination system, so that the online examination system cannot acquire the data acquired by the camera. When the configuration information of the camera is detected to exist in the interception information of other software, after interception is removed, the target camera is reselected, and the debugging of the camera is completed.
Example four
In the embodiment of the application, a camera debugging device for an online examination system is provided.
Referring to fig. 8, fig. 8 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present application. The camera debugging device 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 a communication bus 1002 is used to enable connective 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 alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 8 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 8, the memory 1004, which is a type of computer storage medium, may include therein an operating system, a network communication module, and an online test system camera debugging program.
In the online test system camera debugging device hardware architecture shown in fig. 8, the processor 1001 may call the online test system camera debugging program stored in the memory 1004 and perform the following operations:
when a camera detection process is triggered, determining a currently accessed camera according to hardware information;
when a plurality of accessed cameras are detected, selecting a target camera from the cameras;
when the target camera is in normal shooting, starting a face verification process;
and when the target camera is abnormal, skipping to execute the step of selecting the target camera in the cameras.
Optionally, the processor 1001 may invoke an online testing system camera debugging program stored in the memory 1004, further performing the following operations:
detecting whether the stream pushing information of the target camera is received or not;
and if the plug flow information is received, determining that the target camera is normal in camera shooting.
Alternatively, the processor 1001 may call the online test system camera debugging program stored in the memory 1004, and further perform the following operations:
if the cameras of the accessed cameras are abnormal, sending abnormal camera shooting information;
and when waiting for triggering the camera detection process again, executing the step of determining the currently accessed camera according to the hardware information.
Optionally, the processor 1001 may invoke an online testing system camera debugging program stored in the memory 1004, further performing the following operations:
when the stream pushing information of the target camera is not received, detecting whether the access action of the target camera is intercepted or not;
and if the camera is intercepted, executing the step of selecting a target camera in the camera after the interception is removed.
Alternatively, the processor 1001 may call the online test 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 invoke an online testing system camera debugging program stored in the memory 1004, further performing the following operations:
generating a camera debugging table according to the hardware information and displaying the camera debugging table on a screen;
and when a camera access request is received, connecting the camera with a camera according to a camera access interface of the camera access request.
Optionally, the processor 1001 may invoke an online testing system camera debugging program stored in the memory 1004, further performing the following operations:
acquiring examinee login information, and loading camera hardware information of terminal equipment provided with the online examination system;
and acquiring hardware information of a system default camera, and taking the system default camera as the target camera.
Optionally, the processor 1001 may invoke an online testing system camera debugging program stored in the memory 1004, further performing the following operations:
detecting whether system default camera plug-flow information exists or not;
if the system default camera plug-flow information cannot be detected, executing a step of determining a currently accessed camera according to 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 object, an embodiment of the present invention further provides a storage medium, which may be specifically 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 is implemented as described above.
As will be appreciated by one skilled in the art, 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 so forth) 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 can 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 can be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While the 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. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for debugging a camera of an online examination system is applied to the online examination system, and comprises the following steps:
when a camera detection process is triggered, determining a currently accessed camera according to hardware information;
when a plurality of accessed cameras are detected, selecting a target camera from the cameras;
when the target camera is normal, starting a face verification process;
and when the target camera is abnormal, skipping to execute the step of selecting the target camera in the cameras.
2. The method of claim 1, wherein the step of starting a face verification process when the target camera is in a normal state comprises:
detecting whether the stream pushing information of the target camera is received or not;
and if the plug flow information is received, determining that the target camera is normal in camera shooting.
3. The method of claim 1, wherein said skipping after said step of executing said step of selecting a target camera among said cameras when said target camera is abnormal comprises:
if the cameras of the accessed cameras are abnormal, sending abnormal camera shooting information;
and when waiting for triggering the camera detection process again, executing the step of determining the currently accessed camera according to the hardware information.
4. The method of claim 1, wherein when a plurality of accessed cameras are detected, after the step of selecting a target one of the cameras, further comprising:
when the stream pushing information of the target camera is not received, detecting whether the access action of the target camera is intercepted or not;
and if the camera is intercepted, executing the step of selecting a target camera in the camera after the interception is removed.
5. The method of claim 1, wherein after the step of starting the face verification process when the target camera is normal, the method 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.
6. The method of claim 1, wherein the step of determining a currently accessed camera based on hardware information is followed by:
generating a camera debugging table according to the hardware information and displaying the camera debugging table on a screen;
and when a camera access request is received, connecting the camera with a camera according to a camera access interface of the camera access request.
7. The method as claimed in claim 1, wherein before the step of determining a currently accessed camera according to hardware information when triggering the camera detection process, the method comprises:
acquiring examinee login information, and loading camera hardware information of terminal equipment provided with the online examination system;
and acquiring hardware information of a system default camera, and taking the system default camera as the target camera.
8. The method of claim 7, wherein the step of taking the system default camera as the target camera is followed by:
detecting whether system default camera plug-flow information exists or not;
if the system default camera plug-flow information cannot be detected, executing a step of determining a currently accessed camera according to hardware information;
and if the default camera plug-flow information is detected, executing a step of starting a face verification process.
9. An online examination system camera debugging device, comprising a memory, a processor and an online examination system camera debugging program which is stored on the memory and can run on the processor, wherein when the processor executes the online examination system camera debugging program, the method of any one of claims 1 to 8 is realized.
10. A storage medium having stored thereon an online test system camera debugging program which, when executed by a processor, implements the method of any one of claims 1-8.
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