CN114245054A - Video interview method and device, computer equipment and storage medium - Google Patents
Video interview method and device, computer equipment and storage medium Download PDFInfo
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- CN114245054A CN114245054A CN202111422735.XA CN202111422735A CN114245054A CN 114245054 A CN114245054 A CN 114245054A CN 202111422735 A CN202111422735 A CN 202111422735A CN 114245054 A CN114245054 A CN 114245054A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
- H04N7/147—Communication arrangements, e.g. identifying the communication as a video-communication, intermediate storage of the signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64723—Monitoring of network processes or resources, e.g. monitoring of network load
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64784—Data processing by the network
Abstract
The present application relates to a video interview method, apparatus, computer device, storage medium and computer program product. The method comprises the following steps: when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal; after the interviewer terminal receives the video interview invitation, starting the video interview and forwarding a video interview picture; when the video interview picture is monitored to be blocked, detection is carried out based on the configuration of the interview requesting terminal and the interviewer terminal, and the abnormal terminal and the video blockage reason are determined; and sending a corresponding debugging scheme to the abnormal terminal, wherein the debugging scheme guides an interview participant to debug the abnormal terminal. By adopting the method, the interview time and place are more flexible, meanwhile, the risk that other people replace the interview is effectively avoided, the problem of unsmooth video communication which is easy to occur in the interview process is solved, and the user has better use experience in the interview process.
Description
Technical Field
The present application relates to the field of telecommunications technologies, and in particular, to a video interview method, apparatus, computer device, storage medium, and computer program product.
Background
Interviewing is an important method for companies to select employees. The interview provides the opportunity for the company and the applicant to carry out bidirectional communication, and the company and the applicant can mutually know, so that the two parties can more accurately make the decision whether to hire or not and whether to be hired or not.
The traditional interviewing mode mainly comprises offline interviewing, and after receiving an interviewing notification, an applicant goes to an offline interviewing place to participate in interviewing, so that the process requires the applicant to spend round-trip time, and the interviewer spends a large amount of time for interviewing an applicant, and consumes a large amount of manpower and material resources.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a video interview method, apparatus, computer device, computer readable storage medium and computer program product for solving the above technical problems.
In a first aspect, the present application provides a video interview method. The method comprises the following steps:
when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal;
after the interviewer terminal receives the video interview invitation, starting a video interview and forwarding a video interview picture;
when the video interview picture is monitored to be blocked, detection is carried out based on the configuration of the interview requesting terminal and the interviewer terminal, and when the video blocking reason is determined to be the terminal configuration reason, the terminal with abnormal configuration is determined to be the abnormal terminal;
and sending a corresponding debugging scheme to the abnormal terminal, wherein the corresponding debugging scheme comprises the following steps: and the debugging scheme of the configuration parameters of the abnormal terminal guides an interview participant to debug the abnormal terminal.
In one of the embodiments, the first and second electrodes are,
when the video card pause reason is determined to be a non-terminal configuration reason, acquiring network parameters of the request interview terminal and the interviewer terminal; determining a terminal with abnormal network as the abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview request terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal network switching.
In one embodiment, when it is monitored that the video interview picture is blocked, if it is determined that the video blocking abnormality occurs again after the abnormal terminal executes the adjustment scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
In one embodiment, the method further comprises:
when the video jamming is still abnormal after the abnormal terminal executes the debugging scheme of the abnormal terminal network switching, determining that the video jamming reason is that the network quality is poor, and determining the terminal with poor network quality as the abnormal terminal;
the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal interview mode.
In one embodiment, the method further comprises:
when the video picture is blocked, sending a prompt that the abnormal terminal state is abnormal to a normal terminal with a normal detection result;
when the abnormal terminal executes the corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal;
and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of finishing the debugging of the abnormal terminal to the normal terminal.
In one embodiment, when it is determined that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal includes:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image;
performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation;
and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
In a second aspect, the present application further provides a video interview apparatus. The device comprises:
the interview invitation module is used for sending video interview invitation to the interviewer terminal when the user requesting the interview terminal is determined to be an applicant of interview reservation based on the face recognition result;
the interview starting module is used for starting a video interview and forwarding a video interview picture after the interview officer terminal receives the video interview invitation;
the interview detection module is used for detecting based on the configuration of the interview requesting terminal and the interviewer terminal when the video interview picture is monitored to be blocked, and determining a terminal with abnormal configuration as the abnormal terminal when the video blocking reason is determined to be the terminal configuration reason;
the debugging guide module is used for sending a corresponding debugging scheme to the abnormal terminal, and the corresponding debugging scheme comprises the following steps: and the debugging scheme of the configuration parameters of the abnormal terminal guides an interview participant to debug the abnormal terminal.
In one embodiment, the interview detection module is further configured to: when the video card pause reason is determined to be a non-terminal configuration reason, acquiring network parameters of the request interview terminal and the interviewer terminal; determining a terminal with abnormal network as the abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview request terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal network switching.
In one embodiment, the interview detection module is further configured to: when the video interview picture is monitored to be blocked, if the video blocking abnormity occurs again after the abnormal terminal is determined to execute the adjusting scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
In one embodiment, the interview detection module is further configured to: when the video jamming is still abnormal after the abnormal terminal executes the debugging scheme of the abnormal terminal network switching, determining that the video jamming reason is that the network quality is poor, and determining the terminal with poor network quality as the abnormal terminal; the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal interview mode.
In one embodiment, the apparatus further comprises: a status prompt module;
the state prompting module is used for sending a prompt of abnormal terminal state to a normal terminal with a normal detection result when the video picture is blocked; when the abnormal terminal executes the corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal; and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of finishing the debugging of the abnormal terminal to the normal terminal.
In one embodiment, when the interview invitation module determines that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result, the interview invitation module sends a video interview invitation to the interviewer terminal, including:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image; performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation; and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of the above method when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method.
According to the video interview method, the device, the computer equipment, the storage medium and the computer program product, when the remote video interview is needed, firstly, the face recognition is carried out on the user using the interview requesting terminal, after the user is confirmed to be the client reserved for the interview, the video interview invitation is sent to the interview gateway terminal, the video interview is started and the video interview picture is forwarded, and the face recognition is carried out on the user requesting the interview terminal in advance, so that the risk that other people take the place of the interview is effectively avoided. Secondly, monitoring a video image in the interview process, detecting the terminal configuration of both interviews when the video interview image is blocked, determining the abnormal terminal and the video blockage reason, and guiding the abnormal terminal to debug according to the corresponding debugging scheme. The interview process is normally carried out, the interview time and place are more flexible, the problem of unsmooth video communication which is easy to occur in the interview process is solved, and a user has better use experience in the interview process.
Drawings
FIG. 1 is a diagram of an exemplary video interview application environment;
FIG. 2 is a schematic flow chart diagram illustrating a video interview method in one embodiment;
fig. 3 is a schematic flowchart illustrating a detection procedure based on configurations of an interview requesting terminal and an interviewer terminal when a video interview screen is monitored to be jammed in one embodiment;
FIG. 4 is a flowchart illustrating steps of sending a corresponding debugging scheme to an abnormal terminal in one embodiment, where the debugging scheme guides an interview participant to debug the abnormal terminal;
FIG. 5 is a schematic flow chart illustrating a video interview method in accordance with another embodiment;
FIG. 6 is a block diagram of a video interview apparatus in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The video interview method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein, the request interview terminal 102 communicates with the remote interview background 104 through the network. Remote interview back-end 104 also communicates with interviewer terminal 106 over a network. The remote interview background 104 sends a video interview invitation to the interviewer terminal 106 when determining that the user requesting the interview terminal 102 is an applicant for interview reservation based on the face recognition result; after the video interview invitation is received, starting the video interview and forwarding a video interview picture; meanwhile, the remote interview background 104 monitors the video interview pictures in the video interview process, detects the configuration of the interview requesting terminal 102 and the interviewer terminal 104 when the video interview pictures are detected to be blocked, determines the abnormal terminal and the reason of the video blocking, sends a corresponding debugging scheme to the abnormal terminal according to the reason of the video blocking, and guides the interview participants of the abnormal terminal to debug the abnormal terminal, so that the interview process can be continued. The interview requesting terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and the like. Remote interview background 104 can be implemented with a stand-alone server or a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a video interview method is provided, which is illustrated by way of example as the method applied to the remote interview background 104 in fig. 1, and includes the following steps:
step 202, when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal.
The face recognition is a biometric technology, also commonly called face recognition and face recognition, and is a biometric technology for performing identity recognition based on face feature information of a person, and mainly uses a camera or a video camera to collect images or video streams containing the face, automatically detects and tracks the face in the images, and further performs face recognition on the detected face.
The terminal for requesting interview is terminal equipment used by an applicant in the interview process. The interviewer terminal is terminal equipment used by the interviewer in the interviewing process. It is understood that, in this embodiment, the request interview terminal and the interviewer terminal may be a personal computer, a notebook computer, a smart phone, a tablet computer, and the like, and the invention is not limited by this.
The interview reservation is the job-seeking interview reservation established by an interviewer by submitting resumes or personal data online or offline in advance by an applicant.
Specifically, when the remote interview background determines that the user using the interview requesting terminal is an applicant for interview reservation based on the face recognition result, the remote interview background sends the video interview invitation of the interview requesting terminal to the interviewer terminal. Wherein, interviewers negotiate an interview platform and interview time with the HR, and establish job hunting interview reservation with interviewers through the HR.
And step 204, after the interviewer terminal receives the video interview invitation, starting the video interview and forwarding a video interview picture.
The video interview picture is a continuous video stream transmitted by the remote interview background after the interview channel is established between the interview request terminal and the interviewer terminal through the remote interview background, and the video stream is acquired by cameras carried by the interview request terminal and the interviewer terminal respectively.
Specifically, after the interviewer terminal receives the video interview invitation, the remote interview background starts the video interview, establishes an interview channel for the interview requesting terminal and the interviewer terminal, and forwards video streams acquired by cameras carried by the interview requesting terminal and the interviewer terminal to the interview opposite terminal.
And step 206, when the video interview screen is monitored to be blocked, detecting based on the configuration of the interview requesting terminal and the interviewer terminal, and when the video blocking reason is determined to be the terminal configuration reason, determining that the terminal with abnormal configuration is an abnormal terminal.
Whether the video interview picture is blocked or not is obtained by monitoring the video data stream of the video interview picture by the remote interview background.
The abnormal terminal is a terminal which causes video jamming and is determined by detecting the configuration of the interview request terminal and the interviewer terminal by the remote interview background.
In one embodiment, the terminal is configured to request configuration of parameters of a browser for remote video interviews between the interview terminal and the interviewer terminal. The corresponding debugging scheme comprises the following steps: and the abnormal terminal carries out a debugging scheme of the browser configuration parameters used by the remote video interview.
In one embodiment, the terminal is configured to request configuration of terminal system parameters of the interview terminal and the interviewer terminal. The corresponding debugging scheme comprises the following steps: and (5) debugging the configuration parameters of the terminal system of the abnormal terminal.
Specifically, when the two parties participating in the interview conduct the remote video interview, the remote interview background monitors whether the video interview picture is blocked or not by monitoring the video data stream of the video interview picture. When the video interview picture is monitored to be blocked, the remote interview background calls configuration parameters of the interview requesting terminal and the interviewer terminal to detect, and when the video blocking reason is determined to be the terminal configuration reason based on the detection result, the terminal with abnormal terminal configuration is used as an abnormal terminal.
Step 208, sending a corresponding debugging scheme to the abnormal terminal, wherein the corresponding debugging scheme comprises: and the debugging scheme guides an interview participant to debug the abnormal terminal.
The debugging scheme is a corresponding debugging scheme generated according to the video blockage reason so as to solve the blockage problem.
Specifically, the remote interview background generates a corresponding debugging scheme according to the video blockage reason, wherein the debugging scheme is a debugging scheme of configuration parameters of the abnormal terminal. And sending the debugging scheme to the abnormal terminal, wherein the debugging scheme guides an interview participant of the abnormal terminal to debug the abnormal terminal, so that interview can be continued.
According to the video interview method, when the remote video interview needs to be carried out, firstly, the face recognition is carried out on the user using the interview requesting terminal, after the user is confirmed to be a client for interview reservation, the video interview invitation is sent to the interview related terminal, the video interview is started, the video interview picture is forwarded, and the risk that the interview is replaced by another person is effectively avoided by carrying out the face recognition on the user requesting the interview terminal in advance. Secondly, the video picture is monitored in the interview process, when the video interview picture is blocked, the abnormal terminal and the video blockage reason are determined by detecting the terminal configuration of both interview parties, and the abnormal terminal is guided to be debugged according to the corresponding debugging scheme, so that the interview process is normally carried out, the interview time and place are more flexible, the problem of unsmooth video communication easily occurring in the interview process is solved, and the user has better use experience in the interview process.
In one embodiment, as shown in fig. 3, when it is detected that the video interview screen is jammed, the detection is performed based on the configurations of the interview requesting terminal and the interviewer terminal, and the method further includes the following steps:
and when the video blockage reason is determined to be a non-terminal configuration reason, or when the abnormal terminal executes the adjustment scheme of the configuration parameters of the abnormal terminal and the video blockage is still abnormal, acquiring the network parameters of the interview requesting terminal and the interviewer terminal.
The reason for the non-terminal configuration is that the video interview picture is blocked except the reason for the abnormal terminal configuration. Preferably, in this embodiment, the non-terminal configuration cause is a network anomaly.
Specifically, after the remote interview background detects the configuration of the interview request terminal and the interviewer terminal, it is determined that the video blocking reason is irrelevant to the terminal configuration, or after the remote interview background guides interview participants to debug the configuration parameters of the abnormal terminal according to the corresponding configuration parameter debugging scheme, when the video still has blocking abnormality, it is determined that the video blocking reason is the non-terminal configuration reason. The remote interview background acquires the network parameters of the interview request terminal and the interviewer terminal. If the video jamming abnormality does not occur in the adjustment scheme of the configuration parameters of the abnormal terminal executed at the abnormal terminal, the video jamming reason is the terminal configuration reason.
Determining a terminal with abnormal network as an abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview requesting terminal and the interviewer terminal; the corresponding debugging scheme comprises the following steps: and (5) debugging scheme for abnormal terminal network switching.
Specifically, when the remote interview background determines that the video blockage reason is the network abnormality according to the acquired network parameters, the terminal with the network abnormality is determined as an abnormal terminal; and generating a corresponding debugging scheme according to the network parameters of the abnormal terminal, wherein the debugging scheme is a debugging scheme for switching the network of the abnormal terminal.
In one embodiment, the debugging scheme of the abnormal terminal network switching is to guide the interview participant to switch the network configuration of the abnormal terminal from the mobile network to the wireless network or to a mobile network higher than the current mobile network.
In one embodiment, the debugging scheme of the abnormal terminal network switching is to guide the interview participant to convert the network configuration of the abnormal terminal from the wireless network to the mobile network.
When video blockage is abnormal after the abnormal terminal executes a debugging scheme of abnormal terminal network switching, determining that the video blockage reason is that the network quality is poor, and determining the terminal with poor network quality as an abnormal terminal; the corresponding debugging scheme comprises the following steps: and (5) debugging the abnormal terminal interview mode.
Specifically, after the remote interview background guides interview participants to switch the network of the abnormal terminal according to the debugging scheme switched by the corresponding abnormal terminal network, when the video still has a blockage abnormality, the video blockage reason is determined to be poor in network quality, the terminal with poor network quality is the abnormal terminal, the remote interview background generates a corresponding debugging scheme according to the video blockage reason, and the corresponding debugging scheme is as follows: and (5) debugging the abnormal terminal interview mode. If the video blocking abnormity does not occur after the abnormal terminal executes the debugging scheme of the abnormal terminal network switching, the video blocking reason is the network abnormity, at the moment, the network configuration parameters are debugged to be normal, and the detection is finished.
In one embodiment, the debugging scheme of the abnormal terminal interview mode is to send a voice switching prompt to the interviewer terminal, and instruct the interviewer to switch the video interview to the voice interview through the voice switching prompt.
In one embodiment, when the video jam is still abnormal after the abnormal terminal executes the debugging scheme for network switching of the abnormal terminal, determining that the video jam reason is the poor network quality, and determining the terminal with the poor network quality as the abnormal terminal further includes: when the voice is used for carrying out remote interviewing, a camera of the interview requesting terminal is called regularly to collect a single-frame image of the interview requesting terminal user, the single-frame image contains facial information of the interview requesting terminal user, face recognition is carried out on the single-frame image, and whether the interview requesting terminal user is a candidate is determined.
Specifically, in the process that the interview participants use voice communication to conduct remote interview, the remote interview background collects a single-frame image of the user through a camera of the interview requesting terminal, conducts face recognition on the single-frame image and facial information images of the applicant pre-stored in the remote interview background, and determines whether the user of the interview requesting terminal is the applicant according to the recognition result. The method can effectively prevent the user from cheating in the voice interview process, and enables the user to replace the interview behavior.
In the above embodiment, when an abnormal video image is jammed during a remote video interview, the remote interview background determines the video jam reason by calling various parameters of the interview request terminal and the interviewer terminal, and generates a corresponding debugging scheme according to the video jam reason. By using the video interview method in the embodiment, when the video image is abnormally blocked in the remote interview process, the remote interview background can quickly find out the reason of the problem and the corresponding scheme for solving the problem, so that the speed for solving the video blockage problem in the interview process is greatly increased.
In one embodiment, a video interview method is provided, comprising the steps of:
And step 2, after the interviewer terminal receives the video interview invitation, starting the video interview and forwarding a video interview picture.
And 3, when the video interview picture is monitored to be blocked, detecting based on the configuration of the interview requesting terminal and the interviewer terminal, and determining the abnormal terminal and the video blockage reason.
And 4, when the video picture is blocked, sending a prompt of abnormal terminal state to the normal terminal with a normal detection result.
Specifically, the remote interview background detects the configuration of the interview requesting terminal and the interviewer terminal, determines the reasons of the abnormal terminal and the video card pause, and then sends a prompt of abnormal terminal state to the normal terminal with the normal detection result.
And 5, when the abnormal terminal executes the corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal.
Specifically, when the remote interview background guides an interview participant to debug the abnormal terminal according to the corresponding debugging scheme, a prompt that the abnormal terminal is being debugged is sent to the normal terminal with the normal detection result.
And 6, sending a corresponding debugging scheme to the abnormal terminal, wherein the debugging scheme guides an interview participant to debug the abnormal terminal.
And 7, after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of the abnormal terminal debugging completion to the normal terminal.
Specifically, after the remote interview background guides an interview participant to complete the debugging operation on the abnormal terminal according to the corresponding debugging scheme, the remote interview background sends a prompt of the completion of the debugging of the abnormal terminal to the normal terminal with a normal detection result.
In this embodiment, the remote interview background generates prompt information according to the real-time state of the abnormal terminal, and sends the prompt information to the normal terminal with the normal detection result. By using the method in the embodiment, when abnormal pause occurs in the remote interview process, the normal terminal can clearly know the state of the opposite terminal according to the prompt message sent by the remote interview background, and the state of the whole interview process can be better known and controlled.
In one embodiment, as shown in fig. 4, when it is determined that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal, further includes the following steps:
step 401, when an interview request triggered at an interview request terminal is received, a camera of the interview request terminal is called to collect a first applicant image.
Specifically, a user requesting an interview terminal triggers an interview request, a remote interview background calls a camera of the interview terminal requesting the interview according to the interview request, the camera collects a facial image of the user, and the facial image is used as a first candidate image.
And step 402, performing face recognition on the first applicant image and the second applicant image of the interview reservation, and determining whether the current applicant is an applicant of the interview reservation.
The second candidate image may be an image of an online or offline resume or data, which is pre-stored in the remote interview background and provided by the candidate during interview reservation.
Specifically, the remote interview background extracts first facial feature information and second facial feature information according to the first applicant image and the second applicant image. Wherein the first facial feature information is facial feature information of the first applicant image; the second facial feature information is facial feature information of the second applicant image. And performing face recognition operation according to the first face characteristic information and the second face characteristic information, and determining whether the current applicant is an applicant for interview reservation or not according to the face recognition operation result. It can be understood that the face recognition operation in this embodiment may be completed by face recognition algorithms such as Eigenfaces and Fisherfaces, which are not limited in this application.
And step 403, when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
Specifically, when the remote interview background determines that the user using the interview requesting terminal is an applicant for interview reservation based on the face recognition result, the remote interview background sends the video interview invitation of the interview requesting terminal to the interviewer terminal. The interview reservation is the job-seeking interview reservation established by an interviewer by submitting resumes or personal data online or offline in advance by an applicant.
In the embodiment, the remote interview background carries out face recognition operation by regularly acquiring the single-frame image containing the face information of the interview requesting terminal user and the pre-stored face information image of the applicant, so as to determine whether the interviewer is the applicant. By using the method in the embodiment to conduct remote video interview, the interview process can be prevented from being in an interview process
In one embodiment, as shown in fig. 5, there is provided a video interview method comprising the steps of:
the embodiment relates to a request interview terminal, an interviewer terminal and a remote interview background. The request interview terminal and the interviewer terminal are respectively communicated with the remote interview background through the network. The application terminal is requested to operate an applicant interface and an artificial intelligence assistant, the applicant can participate in interviewing through the applicant interface, the interviewer terminal is operated with an interviewer interface and an artificial intelligence assistant, the interviewer can conduct interviewing on the applicant through the interviewer interface, the remote interview background can set up a relevant data communication bridge for the interview requesting terminal and the interviewer terminal, and the artificial intelligence assistant can provide relevant artificial intelligence services for the applicant and the interviewer.
After a user enters a interview room, a sign-in button on an applicant interface can be clicked, face recognition is triggered, specifically, a camera on a interview requesting terminal can be used for unfolding and recognizing an applicant, face recognition data is obtained, specifically, the face recognition data refers to a video stream with face image information of the user requesting the interview terminal, the face recognition data is output to a remote interview background, the face recognition data is analyzed by the remote interview background to determine a face recognition result, specifically, the face image information of the applicant can be stored in a database of the remote interview background in advance, and the currently obtained face recognition data is matched with the face image information of the applicant pre-stored in the database to determine whether the user is the applicant or not, and the face recognition result is returned.
And when the face recognition result is that the user is a candidate, the remote interview background controls to start a camera on the interview request terminal, the candidate waits for an interviewer, and when the face recognition result is that the user is not a candidate, the user is prompted to participate in an interview and quits the interview room.
The interviewer can enter the interview room through the interviewer terminal, and after entering the interview room, a camera on the interviewer terminal can be started and real-time video communication can be established with the applicant.
In the process of video communication between the interviewer and the interviewer, the remote interview background can monitor the data interaction condition in the video communication process in real time, for example, the data transmission rate is monitored, when the video blocking phenomenon is determined to occur according to the data transmission rate, a corresponding debugging scheme is generated, an artificial intelligent assistant is started, the interviewer and the interviewer are guided by the artificial intelligent assistant through the corresponding debugging scheme to solve the video blocking problem, and the interviewer quit from the interview room until the interview is finished.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a video interview device for realizing the video interview method. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the video interview apparatus provided below can be referred to the limitations of the video interview method in the above, and details are not repeated here.
In one embodiment, as shown in fig. 6, there is provided a video interview apparatus comprising: an interview invitation module 501, an interview opening module 502, an interview detection module 503 and a debugging guidance module 504, wherein:
the interview invitation module 501 is configured to send a video interview invitation to the interviewer terminal when it is determined that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result.
The interview starting module 502 is configured to start a video interview and forward a video interview picture after the interview officer terminal accepts the video interview invitation.
The interview detection module 503 is configured to detect based on configurations of the interview requesting terminal and the interviewer terminal when it is monitored that a video interview screen is blocked, and determine that a terminal with an abnormal configuration is an abnormal terminal when it is determined that the video blocking reason is the terminal configuration reason.
The debugging guidance module 504 is configured to send a corresponding debugging scheme to the abnormal terminal, where the corresponding debugging scheme includes: and the debugging scheme guides an interview participant to debug the abnormal terminal.
In one embodiment, the interview detection module 503 is further configured to: when the video card pause reason is determined to be a non-terminal configuration reason, network parameters of a request interview terminal and an interviewer terminal are obtained; determining a terminal with abnormal network as an abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview requesting terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and (5) debugging scheme for abnormal terminal network switching.
In one embodiment, the interview detection module 503 is further configured to: when the video interview picture is monitored to be blocked, if the video blocking abnormity occurs again after the abnormal terminal is determined to execute the adjustment scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
In one embodiment, the interview detection module 503 is further configured to: when video blockage is abnormal after the abnormal terminal executes a debugging scheme of abnormal terminal network switching, determining that the video blockage reason is that the network quality is poor, and determining the terminal with poor network quality as an abnormal terminal; the corresponding debugging scheme comprises the following steps: and (5) debugging the abnormal terminal interview mode.
In one embodiment, the apparatus further comprises: a status prompt module; the state prompting module is used for sending a prompt of abnormal terminal state to a normal terminal with a normal detection result when the video picture is blocked; when the abnormal terminal executes a corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal; and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of the abnormal terminal debugging completion to the normal terminal.
In one embodiment, when determining that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result, the interview invitation module 501, when sending the video interview invitation to the interviewer terminal, includes: when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image; performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation; and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
When the remote video interview needs to be performed, the video interview device firstly performs face recognition on the user using the interview requesting terminal, confirms that the user is a client for interview reservation, then sends a video interview invitation to the interview gateway terminal, starts the video interview and forwards a video interview picture, and effectively avoids the risk that other people replace the interview by face recognition through performing the face recognition on the user requesting the interview terminal in advance. Secondly, the video picture is monitored in the interview process, when the video interview picture is blocked, the abnormal terminal and the video blockage reason are determined by detecting the terminal configuration of both interview parties, and the abnormal terminal is guided to be debugged according to the corresponding debugging scheme, so that the interview process is normally carried out, the interview time and place are more flexible, the problem of unsmooth video communication easily occurring in the interview process is solved, and the user has better use experience in the interview process.
All or part of each module in the video surface testing device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, and a communication interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a video interview method.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal;
after the interviewer terminal receives the video interview invitation, starting the video interview and forwarding a video interview picture;
when the video interview picture is monitored to be blocked, detection is carried out based on the configuration of the interview requesting terminal and the interviewer terminal, and when the video blocking reason is determined to be the terminal configuration reason, the terminal with abnormal configuration is determined to be an abnormal terminal;
sending a corresponding debugging scheme to the abnormal terminal, wherein the corresponding debugging scheme comprises the following steps: and the debugging scheme guides an interview participant to debug the abnormal terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
when the video card pause reason is determined to be a non-terminal configuration reason, network parameters of a request interview terminal and an interviewer terminal are obtained; determining a terminal with abnormal network as an abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview requesting terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and (5) debugging scheme for abnormal terminal network switching.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
when the video interview picture is monitored to be blocked, if the video blocking abnormity occurs again after the abnormal terminal is determined to execute the adjustment scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
when video blockage is abnormal after the abnormal terminal executes a debugging scheme of abnormal terminal network switching, determining that the video blockage reason is that the network quality is poor, and determining the terminal with poor network quality as an abnormal terminal; the corresponding debugging scheme comprises the following steps: and (5) debugging the abnormal terminal interview mode.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
when the video picture is blocked, sending a prompt of abnormal terminal state abnormity to a normal terminal with a normal detection result;
when the abnormal terminal executes a corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal;
and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of the abnormal terminal debugging completion to the normal terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image;
performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation;
and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal;
after the interviewer terminal receives the video interview invitation, starting the video interview and forwarding a video interview picture;
when the video interview picture is monitored to be blocked, detection is carried out based on the configuration of the interview requesting terminal and the interviewer terminal, and when the video blocking reason is determined to be the terminal configuration reason, the terminal with abnormal configuration is determined to be an abnormal terminal;
sending a corresponding debugging scheme to the abnormal terminal, wherein the corresponding debugging scheme comprises the following steps: and the debugging scheme guides an interview participant to debug the abnormal terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the video card pause reason is determined to be a non-terminal configuration reason, network parameters of a request interview terminal and an interviewer terminal are obtained; determining a terminal with abnormal network as an abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview requesting terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and (5) debugging scheme for abnormal terminal network switching.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the video interview picture is monitored to be blocked, if the video blocking abnormity occurs again after the abnormal terminal is determined to execute the adjustment scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when video blockage is abnormal after the abnormal terminal executes a debugging scheme of abnormal terminal network switching, determining that the video blockage reason is that the network quality is poor, and determining the terminal with poor network quality as an abnormal terminal; the corresponding debugging scheme comprises the following steps: and (5) debugging the abnormal terminal interview mode.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the video picture is blocked, sending a prompt of abnormal terminal state abnormity to a normal terminal with a normal detection result;
when the abnormal terminal executes a corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal;
and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of the abnormal terminal debugging completion to the normal terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image;
performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation;
and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal;
after the interviewer terminal receives the video interview invitation, starting the video interview and forwarding a video interview picture;
when the video interview picture is monitored to be blocked, detection is carried out based on the configuration of the interview requesting terminal and the interviewer terminal, and when the video blocking reason is determined to be the terminal configuration reason, the terminal with abnormal configuration is determined to be an abnormal terminal;
sending a corresponding debugging scheme to the abnormal terminal, wherein the corresponding debugging scheme comprises the following steps: and the debugging scheme guides an interview participant to debug the abnormal terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the video card pause reason is determined to be a non-terminal configuration reason, network parameters of a request interview terminal and an interviewer terminal are obtained; determining a terminal with abnormal network as an abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview requesting terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and (5) debugging scheme for abnormal terminal network switching.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the video interview picture is monitored to be blocked, if the video blocking abnormity occurs again after the abnormal terminal is determined to execute the adjustment scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when video blockage is abnormal after the abnormal terminal executes a debugging scheme of abnormal terminal network switching, determining that the video blockage reason is that the network quality is poor, and determining the terminal with poor network quality as an abnormal terminal; the corresponding debugging scheme comprises the following steps: and (5) debugging the abnormal terminal interview mode.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the video picture is blocked, sending a prompt of abnormal terminal state abnormity to a normal terminal with a normal detection result;
when the abnormal terminal executes a corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal;
and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of the abnormal terminal debugging completion to the normal terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image;
performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation;
and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (15)
1. A method of video interviewing, the method comprising:
when the user requesting the interview terminal is determined to be an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal;
after the interviewer terminal receives the video interview invitation, starting a video interview and forwarding a video interview picture;
when the video interview picture is monitored to be blocked, detection is carried out based on the configuration of the interview requesting terminal and the interviewer terminal, and when the video blocking reason is determined to be the terminal configuration reason, the terminal with abnormal configuration is determined to be the abnormal terminal;
and sending a corresponding debugging scheme to the abnormal terminal, wherein the corresponding debugging scheme comprises the following steps: and the debugging scheme of the configuration parameters of the abnormal terminal guides an interview participant to debug the abnormal terminal.
2. The method of claim 1,
when the video card pause reason is determined to be a non-terminal configuration reason, acquiring network parameters of the request interview terminal and the interviewer terminal;
determining a terminal with abnormal network as the abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview request terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal network switching.
3. The method according to claim 1, wherein when it is monitored that the video interview picture is blocked, if it is determined that the abnormal terminal has executed the adjustment scheme of the configuration parameters of the abnormal terminal and then has video blocking abnormality again, a debugging scheme of abnormal terminal network switching is sent to the abnormal terminal.
4. The method of claim 2, further comprising:
when the video jamming is still abnormal after the abnormal terminal executes the debugging scheme of the abnormal terminal network switching, determining that the video jamming reason is that the network quality is poor, and determining the terminal with poor network quality as the abnormal terminal;
the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal interview mode.
5. The method of claim 1, further comprising:
when the video picture is blocked, sending a prompt that the abnormal terminal state is abnormal to a normal terminal with a normal detection result;
when the abnormal terminal executes the corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal;
and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of finishing the debugging of the abnormal terminal to the normal terminal.
6. The method of claim 1, wherein upon determining that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result, sending a video interview invitation to the interviewer terminal comprises:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image;
performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation;
and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
7. A video interview apparatus, comprising:
the interview invitation module is used for sending video interview invitation to the interviewer terminal when the user requesting the interview terminal is determined to be an applicant of interview reservation based on the face recognition result;
the interview starting module is used for starting a video interview and forwarding a video interview picture after the interview officer terminal receives the video interview invitation;
the interview detection module is used for detecting based on the configuration of the interview requesting terminal and the interviewer terminal when the video interview picture is monitored to be blocked, and determining a terminal with abnormal configuration as the abnormal terminal when the video blocking reason is determined to be the terminal configuration reason;
the debugging guide module is used for sending a corresponding debugging scheme to the abnormal terminal, and the corresponding debugging scheme comprises the following steps: and the debugging scheme of the configuration parameters of the abnormal terminal guides an interview participant to debug the abnormal terminal.
8. The apparatus of claim 7, wherein the interview detection module is further configured to:
when the video card pause reason is determined to be a non-terminal configuration reason, acquiring network parameters of the request interview terminal and the interviewer terminal; determining a terminal with abnormal network as the abnormal terminal when determining that the video blockage reason is the abnormal network according to the network parameters of the interview request terminal and the interviewer terminal;
the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal network switching.
9. The apparatus of claim 7, wherein the interview detection module is further configured to:
when the video interview picture is monitored to be blocked, if the video blocking abnormity occurs again after the abnormal terminal is determined to execute the adjusting scheme of the configuration parameters of the abnormal terminal, the debugging scheme of the abnormal terminal network switching is sent to the abnormal terminal.
10. The apparatus of claim 8, wherein the interview detection module is further configured to:
when the video jamming is still abnormal after the abnormal terminal executes the debugging scheme of the abnormal terminal network switching, determining that the video jamming reason is that the network quality is poor, and determining the terminal with poor network quality as the abnormal terminal; the corresponding debugging scheme comprises the following steps: and the debugging scheme of the abnormal terminal interview mode.
11. The apparatus of any one of claims 7 to 10, further comprising: a status prompt module;
the state prompting module is used for sending a prompt of abnormal terminal state to a normal terminal with a normal detection result when the video picture is blocked; when the abnormal terminal executes the corresponding debugging scheme according to the video blockage reason, sending a prompt that the abnormal terminal is debugging to the normal terminal; and after the abnormal terminal executes the corresponding debugging scheme, sending a prompt of finishing the debugging of the abnormal terminal to the normal terminal.
12. The apparatus of claim 7, wherein the interview invitation module, when sending the video interview invitation to the interviewer terminal upon determining that the user requesting the interview terminal is an applicant for interview reservation based on the face recognition result, comprises:
when an interview request triggered at an interview requesting terminal is received, a camera of the interview requesting terminal is called to collect a first applicant image; performing face recognition on the first applicant image and a second applicant image of the interviewing reservation to determine whether the current applicant is an applicant of the interviewing reservation; and when the current applicant is determined to be the applicant of the interview reservation according to the face recognition result, sending a video interview invitation to the interviewer terminal.
13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
15. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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| US11847542B2 (en) * | 2022-02-09 | 2023-12-19 | My Job Matcher, Inc. | Apparatuses and methods for classifying temporal sections |
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| US11847542B2 (en) * | 2022-02-09 | 2023-12-19 | My Job Matcher, Inc. | Apparatuses and methods for classifying temporal sections |
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