CN114419538A

CN114419538A - Abnormal behavior identification method for bid evaluation expert in remote bid evaluation video conference process

Info

Publication number: CN114419538A
Application number: CN202111593311.XA
Authority: CN
Inventors: 赵东明; 李应宽; 马学军; 田森; 周子岩; 王绪繁; 张志祥; 包立贞; 郭永荣
Original assignee: Beijing Guoxin Innovation Technology Co ltd; Huaneng Tendering Co ltd
Current assignee: Beijing Guoxin Innovation Technology Co ltd; Huaneng Tendering Co ltd
Priority date: 2021-12-23
Filing date: 2021-12-23
Publication date: 2022-04-29

Abstract

The application provides a method for identifying abnormal behaviors of bid evaluation experts in a remote bid evaluation video conference process, which relates to the technical field of bid evaluation and invitation and comprises the following steps: in the process that an evaluation expert remotely evaluates a preset project through a video conference evaluation tool, a face video picture of the evaluation expert and a screen operation picture of a terminal device where the video conference evaluation tool is located are obtained; acquiring the position of the focus of the eyeball of the bid evaluation expert; and according to the face video picture, the screen operation picture and the position of the focus, performing abnormal behavior identification on the bid evaluation process of the bid evaluation expert on the preset project. Through in the long-range mark video conference process of evaluating, combine the position, face video picture and the screen operation picture that the focus of evaluating the eyeball of mark expert is located, carry out abnormal behavior affirmation to evaluating the mark expert from multiple dimension is automatic, reduced the cost of manual monitoring, improved the accuracy of appraising the abnormal behavior affirmation of mark expert.

Description

Abnormal behavior identification method for bid evaluation expert in remote bid evaluation video conference process

Technical Field

The application relates to the technical field of bid inviting and bid evaluation, in particular to an abnormal behavior identification method for a bid evaluation expert in a remote bid evaluation video conference process.

Background

The bid inviting and evaluation is a comprehensive economic responsibility form for promoting competition in the field of basic construction, a plurality of construction units generally participate in project bidding, bid inviting units (such as the construction units) choose the best to choose, which construction unit has short construction period, low construction cost, high quality and good credit, the bid inviting units can pack the project tasks to which construction units, and the bid inviting and evaluation in the bid inviting process is particularly important.

Currently, a remote benchmarking method can be adopted for benchmarking, but in the related art, in the process of remote benchmarking, a facial picture of a benchmarking expert displayed by a video conference interface is usually displayed by a project manager, and the abnormal behaviors such as whether the benchmarking expert has other people to evaluate the benchmarking and leaves a benchmarking station in the benchmarking process are manually identified, so that the accuracy of the abnormal behavior identification method is poor, and the project manager needs to continuously pay attention to the facial picture of the benchmarking expert in the benchmarking process, and the labor cost is high.

Disclosure of Invention

The application provides a method for identifying abnormal behaviors of a bid evaluation expert in a remote bid evaluation video conference process, which is used for solving the technical problems of poor accuracy and high labor cost of identification of the abnormal behaviors of the bid evaluation expert in the bid evaluation process in a remote bid evaluation mode in the related technology.

The embodiment of the first aspect of the application provides a method for determining abnormal behaviors of bid evaluation experts in a remote bid evaluation video conference process, which comprises the following steps: the method comprises the steps that in the process that an evaluation expert remotely evaluates a preset project through a video conference evaluation tool, a face video picture of the evaluation expert and a screen operation picture of terminal equipment where the video conference evaluation tool is located are obtained; acquiring the position of the focus of the eyeball of the bid evaluation expert; and according to the face video picture, the screen operation picture and the position of the focus, performing abnormal behavior identification on the bid evaluation process of the bid evaluation expert on the preset project.

The embodiment of the second aspect of the present application provides an abnormal behavior determination device for a bid evaluation expert in a remote bid evaluation video conference process, the device includes: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a facial video picture of an evaluation expert and a screen operation picture of terminal equipment where a video conference evaluation tool is located in the process that the evaluation expert remotely evaluates a preset project through the video conference evaluation tool; the second acquisition module is used for acquiring the position of the focus of the eyeball of the bid evaluation expert; and the identification module is used for identifying abnormal behaviors of the bid evaluation expert in the bid evaluation process of the preset project according to the facial video picture, the screen operation picture and the position of the focus.

An embodiment of a third aspect of the present application provides an electronic device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to execute the abnormal behavior identification method of the bid evaluation expert in the remote bid evaluation video conference process according to the embodiment of the first aspect.

An embodiment of a fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining abnormal behavior of a bid evaluation expert during a remote bid evaluation video conference as set forth in the foregoing embodiment of the first aspect of the present application.

In an embodiment of a fifth aspect of the present application, a computer program product is provided, where the computer program product includes a computer program, and when the computer program is executed by a processor, the computer program implements the method for determining abnormal behavior of the bid evaluation expert during the remote bid evaluation video conference process provided in the embodiment of the first aspect of the present application.

The technical scheme that this application provided has following beneficial effect:

the comprehensive integrated monitoring of the facial video picture of the bid evaluation expert and the screen operation picture of the terminal equipment of the video conference bid evaluation tool is realized by acquiring the facial video picture of the bid evaluation expert and the screen operation picture of the terminal equipment of the video conference bid evaluation tool in the process that the bid evaluation expert remotely evaluates the preset project through the video conference bid evaluation tool, acquiring the position of the focus of the eyeball of the bid evaluation expert, and identifying the abnormal behavior of the bid evaluation expert in the bid evaluation process of the preset project according to the facial video picture, the screen operation picture and the position of the focus of the eyeball of the bid evaluation expert, and automatically identifying the abnormal behavior of the bid evaluation expert from various dimensions by combining the position of the focus of the eyeball of the bid evaluation expert, the facial video picture and the screen operation picture of the terminal equipment of the video conference bid evaluation tool in the process of the remote bid evaluation expert, the cost of manual monitoring is reduced, and the accuracy of identifying the abnormal behaviors of the evaluation experts is improved.

Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.

Drawings

The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

fig. 1 is a schematic structural diagram of an intelligent remote bid evaluation monitoring system according to an embodiment of the present application;

fig. 2 is another schematic structural diagram of an intelligent remote bid evaluation monitoring system according to an embodiment of the present application;

FIG. 3 is a schematic diagram illustrating interaction among a project manager, a bid evaluation expert, a monitoring platform, and a bid monitoring person according to an embodiment of the present disclosure;

fig. 4 is a schematic flowchart of a method for determining abnormal behavior of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an abnormal behavior recognizing device of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.

The abnormal behavior identification method of the bid evaluation expert in the remote bid evaluation video conference process in the embodiment of the application can be applied to an intelligent remote bid evaluation supervision platform of an intelligent remote bid evaluation supervision system, and the intelligent remote bid evaluation supervision system in the embodiment of the application is explained with reference to the attached drawings.

Fig. 1 is a schematic structural diagram of an intelligent remote bid evaluation monitoring system according to an embodiment of the present application.

As shown in fig. 1, the intelligent remote bid evaluation monitoring system may include an intelligent bid evaluation platform 110 and an intelligent remote bid evaluation monitoring platform 120, which are communicatively connected, where the intelligent bid evaluation platform 110 includes a video conference bid evaluation tool 111.

The intelligent bidding platform 110 is used for processing bidding purchasing business; the video conference bid evaluation tool 111 is used for enabling bid evaluation experts to enter a virtual conference room through the video conference bid evaluation tool 111 and remotely evaluating bid on preset items in the virtual conference room; the intelligent remote bid evaluation supervision platform 120, hereinafter referred to as the supervision platform 120, is used for intelligently supervising the bid evaluation process of the bid evaluation experts on the preset project. The preset item refers to the item which is being evaluated by the evaluation expert and can be set randomly according to the requirement. The bid evaluation expert may be any bid evaluation expert participating in bid evaluation work of a preset project.

Specifically, the supervision platform 120 may be deployed on an enterprise cloud, integrate cloud desktop resource devices of the enterprise, develop a computer-based visual analysis technology, a remote video conference technology, and a remote video monitoring technology, serve as a software and hardware support platform of an evaluation visualization supervision center, and have functions of querying real-time videos, historical videos, intelligent early warning, and the like.

The monitoring platform 120 may include a base service layer, a platform service layer, and an application service layer from bottom to top. The basic service layer may include modules such as an enterprise cloud, a cloud desktop, and a video monitor, and is used to provide basic services required by the operation of the monitoring platform 120. The platform service layer can comprise an audio-video communication service module, a message queue service module, an embedded security service module, a search engine service module, a distributed storage service module, a distributed computing service module, a virtualization service module, a centralized computing service module, a signaling service module and a media service module and is used for providing corresponding services. The application service layer can comprise a video monitoring management module for providing video monitoring management service, a video fusion module for providing video recording and fusion service, a video conference service module for providing video conference service, an intelligent analysis and early warning module for providing intelligent analysis and early warning of video data and the like.

In addition, the administration platform 120 may also provide a display interface for a large screen of visualization, a virtual meeting room, and the like.

The intelligent bidding platform 110 is used for processing the bidding purchase service, that is, all the bidding purchase services are performed on the intelligent bidding platform 110.

The videoconference bidding tool 111 can be understood to be a sub-application in the intelligent bidding platform 110. The evaluation expert and the relevant personnel of the evaluation work such as the project manager can log in the video conference evaluation tool 111 through the intelligent enrollment platform 110, the intelligent enrollment platform 110 performs identity verification during logging in, and after logging in the video conference evaluation tool 111, the video conference evaluation tool 111 can run independently.

Taking the bid evaluation expert as an example, when the bid evaluation expert logs in the video conference bid evaluation tool 111, the intelligent bidding platform 110 can implement the identity verification of the bid evaluation expert through a face recognition technology. After the identity verification is passed, the bid evaluation expert can perform related bid evaluation operation through the video conference bid evaluation tool 111; when the authentication fails, the video conference comment tool 111 may prompt the expert that the authentication fails, and the login is not allowed. If the current bid evaluation expert does not acquire the face image, the video conference bid evaluation tool 111 may prompt the bid evaluation expert to acquire the face image first.

After the bid evaluation expert logs in the video conference bid evaluation tool 111, the bid evaluation expert can enter a virtual conference room and remotely evaluate bids in the virtual conference room, and in the process of evaluating bids of preset items by the bid evaluation expert, the supervision platform 120 can intelligently supervise the bid evaluation process.

The intelligent remote bid evaluation supervision system is described in detail below.

Specifically, the video conference bid evaluation tool 111 is deeply integrated with the video conference tool and the bid evaluation tool. The bid evaluation tool is used for processing bid inviting purchase services, and the video conference tool is deeply integrated with the bid evaluation tool on the basis of meeting basic functions of audio and video communication, text message communication, screen desktop sharing, file sharing, application program sharing and the like of a video conference, so that the video conference tool is organically integrated with the bid inviting purchase services, and service requirements for different user roles (such as bid evaluation experts and project managers) in a remote bid evaluation process are met.

When the preset project needs to be evaluated, a project manager can firstly create a virtual meeting room for the video conference for evaluating the targets. Specifically, the project manager may log in the video conference bid evaluation tool 111, and click an entry button having a function of entering a display interface of the preset project on the display interface of the video conference bid evaluation tool 111 after successful login, so that the video conference bid evaluation tool 111 may display the display interface of the project manager of the preset project. It should be noted that, after the entry button is clicked by different user roles, the video conference bid evaluation tool 111 displays different display interfaces of the preset project for different user roles, for example, for a project manager, a project manager display interface of the preset project is displayed, through the interface, the project manager can create a virtual meeting room corresponding to the preset project, for a bid evaluation expert, the video conference bid evaluation tool 111 displays a bid evaluation expert display interface of the preset project, and through the interface, the bid evaluation expert can enter the created virtual meeting room corresponding to the preset project to evaluate the preset project.

When the video conference bid evaluation tool 111 displays a project manager display interface of a preset project, a project manager may click a conference creation button with a conference creation function on the interface to trigger a video conference creation request, and accordingly, the video conference bid evaluation tool 111 may send the video conference creation request to the monitoring platform 120, where the video conference creation request includes conference information of the preset project. The meeting information may include item information of the preset item, such as an item name, an item identifier, a bid evaluation time, a bid evaluation location, and any information related to the preset item. Alternatively, the meeting information may include project information of a preset project and expert information, where the expert information includes, for example, name, identification, age, identification number, mobile phone number, and any information related to each bid evaluation expert, such as name, identification, age, identification number, and mobile phone number, of each bid evaluation expert who needs to participate in bid evaluation work of the preset project.

After receiving the video conference creation request, the monitoring platform 120 may create a virtual conference room according to the conference information of the preset project, generate a video conference number corresponding to the virtual conference room, and further send the video conference number to the video conference bid evaluation tool 111, so as to notify the video conference bid evaluation tool 111 that the virtual conference room is created. After receiving the video conference number, the video conference comment tool 111 may display a prompt message that the video conference has been created to prompt the project manager that the video conference has been created. The creation of the virtual meeting room and the generation of the corresponding video conference number may be performed by a module in the application service layer of the monitoring platform 120, which provides a video conference creation service.

Accordingly, the videoconference bidding tool 111 is further configured to: sending a video conference creation request to the intelligent remote bid evaluation monitoring platform 120, wherein the video conference creation request comprises conference information of a preset project;

the intelligent remote bid evaluation supervision platform 120 is further configured to: after receiving the video conference creation request, according to the conference information of the preset project, creating a virtual conference room and generating a video conference number corresponding to the virtual conference room, and sending the video conference number to the video conference evaluation tool 111.

The video conference number is used to uniquely identify the corresponding virtual conference room, and the video conference number is automatically generated by the monitoring platform 120, and the generation rule may refer to related technologies, which are not described herein again.

Since the project manager only needs to click the meeting creation button, the video meeting bidding tool 111 can interact with the monitoring platform 120, and the virtual meeting room is automatically created through the monitoring platform 120, so that the project manager can automatically create the virtual meeting room for bidding evaluation of the preset project by one key.

It should be noted that, the above process is described by taking one virtual meeting room as an example, in an actual application, a plurality of virtual meeting rooms may be created through the above process as needed, and the present application is not limited to this.

After a virtual meeting room for evaluating the bid of the preset project is created, any bid evaluation expert participating in the bid evaluation work of the preset project can enter the virtual meeting room through the video conference bid evaluation tool 111 to evaluate the bid of the preset project. Specifically, for example, one of the bid evaluation experts is taken as an example, after the video conference bid evaluation tool 111 used by the bid evaluation expert receives the video conference number sent by the monitoring platform 120, the video conference number may be associated with a preset project and stored under the preset project, and after the bid evaluation expert participating in the bid evaluation work of the preset project enters a bid evaluation expert display interface of the preset project, a join video conference button is displayed, and the bid evaluation expert may click the join video conference button, so that the video conference bid evaluation tool 111 may respond to the detection of the touch operation on the join video conference button, acquire the video conference number associated with the preset project, start the video conference tool, and send the video conference number to the video conference tool, so as to enter a virtual conference room corresponding to the video conference number through the video conference tool. After entering the virtual meeting room corresponding to the video meeting number, the bid evaluation expert can begin to evaluate the bid of the preset project.

Accordingly, the videoconference bidding tool 111 is further configured to: receiving a video conference number sent by the intelligent remote bid evaluation monitoring platform 120; and entering a virtual meeting room according to the video meeting number.

Therefore, the bid evaluation expert can join the created virtual meeting room by one key through the video conference joining button. It should be noted that, in the above embodiment, the comment expert enters the created virtual meeting room as an example, in practical application, all the related personnel of the preset project, such as a project manager, a supervisor, and a comment expert, can enter the display interface of the preset project through the video conference comment tool 111, and join the virtual meeting room of the preset project through adding the video conference button by one key to perform a video conference. The created virtual meeting room can be added by adding the video conference button only after the video conference bid evaluation tool 111 is logged in and the display interface of the preset project is entered, and the virtual meeting room cannot be entered by other ways for bid evaluation, so that the bid evaluation process is safer and more confidential. In addition, before the related personnel of the preset project enter the virtual meeting room, the identity of the entering personnel can be verified, so that the safety and the confidentiality of the bid evaluation process are further improved. In addition, before the related preset project personnel enter the virtual meeting room, the video conference comment tool 111 can also remind the attention points when the video conference is participated in, and then enter the virtual meeting room to participate in the video conference after the related preset project personnel agree.

The virtual meeting room is established through project managers based on a video conference bid evaluation tool key, and the bid evaluation experts join the virtual meeting room based on the video conference bid evaluation tool key, so that a video conference does not need to be established in advance through manual work, a video conference account password does not need to be managed independently, the remote bid evaluation can be performed on the preset project through simple operation, the remote bid evaluation efficiency is improved, and the bid evaluation process is high in safety and confidentiality.

In the embodiment of the application, the bid evaluation experts participating in the bid evaluation work of the preset project may be obtained by extracting an expert database in advance. Accordingly, referring to fig. 2, the intelligent remote bid evaluation supervising system may further include an expert extraction platform 130 communicatively connected to the intelligent bidding platform 110 for extracting bid evaluation experts participating in bid evaluation work of a preset project from among a plurality of candidate bid evaluation experts included in the expert database. The expert database may be independent of the expert extraction platform 130, or may be configured in the expert extraction platform 130, and the expert extraction platform 130 may update expert information of a plurality of candidate bid evaluation experts in the expert database. The expert information of the candidate bid evaluation expert may include any information related to the bid evaluation expert, such as the specialty, age, province or city, job, academic calendar, and job of the candidate bid evaluation expert.

Specifically, the intelligent enrollment platform 110 may include an extraction button having an expert extraction function, and when an assessment expert participating in the assessment work of the preset project needs to be extracted, a person having an extraction authority may first input the project information and the extraction requirement of the preset project, and click the extraction button in the intelligent enrollment platform 110 to trigger an expert extraction request. Accordingly, the intelligent enrollment platform 110 may send an expert extraction request to the expert extraction platform 130, wherein the expert extraction request may include the item information and the extraction requirement of the preset item. The project information can comprise project identification, bid evaluation time, bid evaluation place and any information related to a preset project; the extraction requirements may include requirements on the expertise, age, province or city of the bidding experts to be extracted, whether the bidding experts are in the work, academic calendar, post, etc., and requirements for avoiding the abnormal bidding behavior in the extraction process.

After receiving the expert extraction request, the expert extraction platform 130 may extract the bid evaluation experts corresponding to the preset item and meeting the extraction requirement from the expert database according to the item information and the extraction requirement of the preset item, and send the extracted expert information of the bid evaluation experts to the intelligent enrollment platform 110. The expert information of the bid evaluation expert may include any information related to the bid evaluation expert, such as the specialty of the bid evaluation expert, the age, the province or city where the bid evaluation expert is located, the job, the academic calendar, and the job.

It should be noted that in the embodiment of the present application, the bid evaluation expert who enters the created virtual meeting room corresponding to the preset item to evaluate the bid is the bid evaluation expert extracted by the expert extraction platform 130 according to the item information and the extraction requirement of the preset item. After the intelligent bidding platform 110 receives the expert information of the bid evaluation expert extracted by the expert extraction platform 130, the video conference bid evaluation tool 111 can determine which bid evaluation experts to evaluate the preset project according to the extracted expert information of the bid evaluation expert corresponding to the preset project, and then display the display interface of the bid evaluation expert of the preset project after the bid evaluation experts log in the video conference bid evaluation tool 111, so that the bid evaluation experts can add the bid evaluation in the virtual conference room corresponding to the preset project by clicking the add video conference button displayed on the display interface of the bid evaluation expert of the preset project.

Furthermore, after the expert extraction, the extracted bid evaluation expert can be notified in the modes of short message, telephone, instant communication and the like. In order to enable the supervision platform 120 to supervise the bid evaluation process of the bid evaluation expert extracted by the expert extraction platform 130, the intelligent enrollment platform 110 may further synchronize the expert information of the bid evaluation expert extracted by the expert extraction platform 130 to the supervision platform 120. That is, the intelligent bidding platform 110 is also used to synchronize expert information and project information of the bid evaluation expert to the intelligent remote bid evaluation monitoring platform 120.

In an embodiment of the present application, the bid evaluation institution, the bid evaluation center, the bid evaluation room, and the bid evaluation machine position may be deployed in a manner that one bid evaluation institution includes at least one bid evaluation center, one bid evaluation center includes at least one bid evaluation room, and one bid evaluation room includes at least one bid evaluation machine position, and the monitoring platform 120 may manage the bid evaluation institution, the bid evaluation center, the bid evaluation room, and the bid evaluation machine position in advance, for example, an identifier of at least one bid evaluation center included in at least one bid evaluation institution, an identifier of at least one bid evaluation room included in each bid evaluation center, and an identifier of at least one bid evaluation machine position included in each bid evaluation room may be stored in advance. And when the video conference bid evaluation tool 111 is installed in the terminal device of the corresponding bid evaluation station, the video conference bid evaluation tool 111 may automatically generate a station code, and bind the station code with the identifier of the bid evaluation station stored in the monitoring platform 120. The terminal device may be any device capable of operating the video conference bid evaluation tool 111, such as a computer.

For each bid evaluation expert who enters the virtual meeting room through the video conference bid evaluation tool 111 to remotely evaluate the bid of the preset project, the video conference bid evaluation tool 111 can determine the bid evaluation machine position where the bid evaluation expert is located, so that a first camera in the terminal equipment of the bid evaluation machine position where the bid evaluation expert is located or a second camera connected with the terminal equipment can acquire the face video picture of the bid evaluation expert in real time, and the video conference bid evaluation tool 111 can acquire the display interface of the terminal equipment in real time to acquire the screen operation picture, so that the video conference bid evaluation tool 111 can acquire the face video picture and the screen operation picture of the bid evaluation expert in the bid evaluation process of evaluating the preset project in real time, and further send the face video picture and the screen operation picture to the monitoring platform 120. The video conference bid evaluation tool 111 may send the face video picture and the screen operation picture of the bid evaluation expert in the bid evaluation process of evaluating the bid for the preset project to the video conference service module in the monitoring platform 120 in real time.

In addition, for each bid evaluation expert who successfully logs in the video conference bid evaluation tool 111, the monitoring platform 120 may determine the bid evaluation machine position and the bid evaluation room where the bid evaluation expert is located, further call a monitoring picture of the bid evaluation room where the bid evaluation expert is located, which is collected by a third camera installed in the bid evaluation room where the bid evaluation expert is located (i.e., the bid evaluation room where the bid evaluation machine position where the video conference bid evaluation tool 111 is located), and obtain the monitoring picture of the bid evaluation room where the bid evaluation expert is located in real time in a bid evaluation process where the bid evaluation expert enters a virtual conference room to evaluate a preset item. The video monitoring management module in the monitoring platform 120 may obtain the monitoring picture of the bid evaluation room where the bid evaluation expert is located in real time.

The supervision platform 120 may further evaluate the bid evaluation process of each bid evaluation expert on the preset item according to the facial video picture, the screen operation picture and the monitoring picture of the bid evaluation room in which each bid evaluation expert is located. The intelligent analysis and early warning module in the supervision platform 120 may evaluate the bid evaluation process of each bid evaluation expert on the preset project.

In an embodiment of the present application, the evaluating process of each of the evaluation experts may include identifying whether each of the evaluation experts has at least one of the following abnormal behaviors in the evaluating process: the bid evaluation expert watches other display interfaces irrelevant to the bid evaluation item through the terminal equipment, the bid evaluation expert uses the communication equipment, the bid evaluation expert is not the expert, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is located, and when the at least one abnormal behavior of the bid evaluation expert is identified, the early warning information can be output. The early warning information may include project information of a current preset project, expert information of an evaluation expert with an abnormal behavior, early warning content (for example, the expert is not the expert, leaves the post or has another person break in), early warning time, shooting of early warning evidence (screenshot of a face video picture, a screen operation picture or a monitoring picture), and the like.

Specifically, for each bid evaluation expert, in the bid evaluation process of the bid evaluation expert on the preset project, the monitoring platform 120 may identify whether at least one of the following abnormal behaviors exists in the bid evaluation process of the bid evaluation expert according to a facial video picture of the bid evaluation expert, or the facial video picture is combined with a monitoring picture of a bid evaluation room where the bid evaluation expert is located: the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is located; identifying whether the bid evaluation expert watches other display interfaces unrelated to the bid evaluation project through the terminal equipment according to the screen operation picture of the terminal equipment where the video conference bid evaluation tool 111 is located; and detecting whether the bid evaluation expert uses communication equipment such as a mobile phone or not by adopting a communication equipment detection technology according to the facial video picture of the bid evaluation expert or combining the facial video picture with a monitoring picture of a bid evaluation room where the bid evaluation expert is located. When the bid evaluation expert leaves the post, the bid evaluation expert can be instructed not to evaluate the bid on the bid evaluation machine position.

That is, in the embodiments of the present application, the administration platform 120 is specifically configured to: acquiring a facial video picture of a bid evaluation expert, a screen operation picture of terminal equipment where a video conference bid evaluation tool is located and a monitoring picture of a bid evaluation room where the bid evaluation expert is located; the system comprises a face video picture, a screen operation picture and a monitoring picture, wherein the face video picture, the screen operation picture and the monitoring picture are collected in real time in the bid evaluation process of a bid evaluation expert on a preset project; and evaluating the bid evaluation process of the bid evaluation expert on the preset project according to the face video picture, the screen operation picture and the monitoring picture. In an embodiment of the present application, the administration platform 120 is specifically configured to: in the bid evaluation process of the bid evaluation expert on the preset item, according to the facial video picture, identifying abnormal behaviors of the bid evaluation expert in the bid evaluation process, wherein the abnormal behaviors comprise at least one of the following behaviors: the bid evaluation expert is not the expert, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is.

Further, after the supervision platform 120 obtains the facial video pictures of each bid evaluation expert, the screen operation pictures of the terminal device where the video conference bid evaluation tool 111 is located, and the monitoring pictures of the bid evaluation room where each bid evaluation expert is located, the three pictures can be recorded in real time respectively to obtain facial video data, screen operation video data, and monitoring video data. In addition, in the process of evaluating the bid of the preset item by each bid evaluation expert, the supervision platform 120 may determine which bid evaluation expert is evaluating the bid of which item in which bid evaluation room, so that the facial video data, the screen operation video data and the monitoring video data may be associated and stored with the bid evaluation expert and the preset item currently being evaluated, so as to meet the requirements of filing and monitoring the bid evaluation process data. Furthermore, when the face video data, the screen operation video data and the monitoring video data of a certain bid evaluation expert need to be displayed or viewed, the face video data, the screen operation video data and the monitoring video data associated with the bid evaluation expert can be fused to obtain fused target audio and video data, and the fused target audio and video data is displayed or viewed through a display interface (namely, the face video data, the screen operation video data and the monitoring video data of a bid evaluation expert are displayed on one display interface at the same time). When the face video data, the screen operation video data and the monitoring video data of each bid evaluation expert who evaluates a preset project need to be displayed or viewed, the face video data, the screen operation video data and the monitoring video data of each bid evaluation expert which are associated with the preset project can be fused to obtain fused further target audio and video data, and the fused further target audio and video data is displayed or viewed through a display interface (namely, the face video data, the screen operation video data and the monitoring video data of each bid evaluation expert are displayed on one display interface at the same time). Therefore, the method and the device can realize the independent recording of the three paths of video data of each bid evaluation expert, the fusion display or viewing of the three paths of video data of each bid evaluation expert, and the fusion display or viewing of the multi-path video data of each bid evaluation expert of a preset item.

The video conference service module of the monitoring platform 120 can record the facial video images and the screen operation images, the video monitoring management module of the monitoring platform 120 records the monitoring images, the video fusion module of the monitoring platform 120 acquires the facial video data and the screen operation video data from the video conference service module, and acquires the monitoring video data from the video monitoring management module, so that the fusion of the facial video data, the screen operation video data and the monitoring video data is realized.

The target audio and video data can be displayed in real time in the bid evaluation process, or can be displayed as historical video data after the bid evaluation is finished, and the display is not limited in the application.

In the bid evaluation process, for example, when monitoring pictures of scattered different bid evaluation rooms need to be displayed, the monitoring pictures of the bid evaluation rooms can be accessed into a video conference in an interface configuration mode so as to meet the scene monitoring needs of the bid evaluation rooms.

Therefore, in the process of remotely evaluating the preset project by the evaluation expert, the supervision platform 120 can realize the comprehensive integrated monitoring of the facial video picture of the evaluation expert, the screen operation picture of the terminal equipment where the video conference evaluation tool 111 is located and the monitoring picture of the evaluation room where the evaluation expert is located, can perform real-time intelligent analysis on the pictures, and can perform intelligent early warning reminding when the evaluation expert is found to have abnormal behaviors, thereby intelligently supervising the evaluation process, timely finding and early stopping the abnormal behaviors, and in addition, can simultaneously monitor and look up the video according to the dimensionality of the evaluation expert or the dimensionality of the project, thereby realizing the controllability, the traceability and the legal and compliance of the evaluation process.

In the embodiment of the application, the monitoring platform 120 not only has the functions of inquiring real-time video data, historical video data and intelligent early warning, but also can provide a display interface of a visual large-screen display and a virtual meeting room, so that related personnel can conveniently monitor and check the bid evaluation process of the bid evaluation expert.

Additionally, referring to FIG. 2, the administration platform 120 may also interface integrally with a third party administration platform 140. The third party monitoring platform refers to a platform for monitoring third party services, for example, the third party monitoring platform may be a purchase monitoring platform for monitoring purchase transactions. The monitoring platform 120 may receive the third-party early warning information sent by the third-party monitoring platform 140 to perform centralized display and management on the third-party early warning information. The third-party early warning information sent by the purchasing supervision platform can include early warning information of abnormal conditions of third-party services, such as unpaid bidding security, incidence relation, abnormal operation, illegal distrust condition, proper punishment condition, proper bribery criminal behavior, overhigh similarity of bidding documents and the like.

It should be noted that, in this embodiment of the application, the monitoring platform 120 implements access to devices such as cameras of different manufacturers, NVRs (Network Video recorders), DVRs (Digital Video recorders) and the like through a unified customized system abstraction interface, and implements functions of acquiring Real-Time streams and videos of monitoring devices, and performing parameter setting and remote control on the devices through Network Protocol modes such as SDKs (Software Development Kit), RTMPs (Real Time Messaging protocols), ONVIF (open Network Video interface forum), GB28181 (national standard protocols), RTSPs (Real Time Streaming protocols) and the like.

Referring to fig. 3, a bid evaluation method based on the intelligent remote bidding system is described by taking an interaction process among a project manager, a bid evaluation expert, a supervision platform and a bid monitoring person as an example. Fig. 3 is an interaction diagram of a project manager, a bid evaluation expert, a monitoring platform, and a bid monitoring person according to an embodiment of the present disclosure. The bidding supervising personnel may be, for example, a project manager, a discipline inspection department, a conference staff, or the like, who supervises the bid evaluation process.

Referring to fig. 3, after logging in the videoconference bidding tool 111 (step 301) and entering the project manager display interface of the preset project, the project manager can create a virtual meeting room by one key (step 302). When the current bid evaluation expert logs in the video conference bid evaluation tool 111 (step 303), the video conference bid evaluation tool 111 may first determine whether the face image of the current bid evaluation expert is collected in advance (step 304), and if the face image of the current bid evaluation expert is not collected, may prompt the current bid evaluation expert to collect the face image of the person who carries the current bid evaluation expert first, and collect the face image of the current bid evaluation expert (step 305). If the face image of the current bid evaluation expert is collected, face recognition can be performed on the current bid evaluation expert (step 306), and whether the current bid evaluation expert is the expert himself or herself is further judged (step 307). Specifically, the current face image of the current bid evaluation expert can be collected, the current face image is compared with the face image of the current bid evaluation expert collected in advance, if the current face image is not consistent with the face image of the current bid evaluation expert, the current bid evaluation expert is determined not to be the expert, and the current expert is not allowed to log in the video conference bid evaluation tool. If the current face image is consistent with the face image of the current bid evaluation expert collected in advance, the current bid evaluation expert can be determined to be the expert himself, so that the current bid evaluation expert is allowed to log in the video conference bid evaluation tool 111, that is, the current bid evaluation expert can successfully log in the video conference bid evaluation tool 111 (step 308). After the current bid evaluation expert successfully logs in the video conference bid evaluation tool 111 and enters the bid evaluation expert display interface of the preset project, the current bid evaluation expert can enter the virtual meeting room created by the project manager by one key (step 309), and can evaluate the bid of the preset project (step 310), and after the bid evaluation is finished, the video conference bid evaluation tool can be quitted (step 311).

After the current bid evaluation expert logs in the video conference bid evaluation tool 111, the monitoring platform 120 may determine the bid evaluation station and the bid evaluation room where the current bid evaluation expert is located, and call a monitoring picture of the bid evaluation room collected by a third camera installed in the bid evaluation room where the current bid evaluation expert is located. In addition, after the current bid evaluation expert enters the virtual meeting room, the video conference bid evaluation tool 111 may send the face video picture of the current bid evaluation expert, which is collected in real time by the first camera in the terminal device of the bid evaluation machine position where the bid evaluation expert is located or the second camera connected to the terminal device, and the screen operation picture, which is obtained by the video conference bid evaluation tool 111 collecting the display interface of the terminal device in real time, to the monitoring platform 120. Therefore, the supervision platform 120 can acquire the monitoring picture of the bidding evaluation room where the current bid evaluation expert is located (step 312), acquire the facial video picture and the screen operation picture of the current bid evaluation expert (step 313), and further record and fuse the three pictures respectively (step 314), so as to obtain target audio and video data.

In addition, in the process of evaluating the bid of the preset item by the current bid evaluation expert, the supervision platform 120 may perform intelligent analysis on the face video picture of the current bid evaluation expert (step 315), further determine whether the current bid evaluation expert is abnormal behaviors such as non-expert, off duty, intrusion of others into the current bid evaluation room (step 316), if not, continue to perform intelligent analysis on the face video picture of the current bid evaluation expert, and if the current bid evaluation expert is abnormal, may push early warning information to early warn the bid monitoring personnel through the supervision platform.

After receiving the early warning from the monitoring platform 120, the monitoring personnel can process the early warning in time (step 317), and when processing the early warning, the monitoring personnel can check the target audio/video data recorded and fused by the monitoring platform (step 318) to find the evidence that the current evaluation expert has abnormal behavior.

To sum up, the intelligent remote bid evaluation supervision system of the embodiment of the application can conveniently and safely enter the virtual meeting room through the video conference bid evaluation tool, remotely evaluate the preset project in the virtual meeting room, and intelligently supervise the bid evaluation process of the bid evaluation expert on the preset project by utilizing the supervision platform. The comprehensive integrated monitoring of the facial video pictures of the bid evaluation experts, the screen operation pictures of the terminal equipment where the video conference bid evaluation tool is located and the monitoring pictures of the bid evaluation room where the bid evaluation experts are located can be realized through the monitoring platform in the intelligent remote bid evaluation monitoring system, the pictures can be intelligently analyzed in real time, when abnormal behaviors of the bid evaluation experts are found, intelligent monitoring of the bid evaluation process is realized, the abnormal behaviors can be timely found and stopped early, in addition, three paths of video data of each bid evaluation expert can be simultaneously monitored and recorded according to the dimensionality or the dimensionality of a project, and therefore the whole bid evaluation process can be controlled, checked and traceable, and the legal bid evaluation and compliance are guaranteed.

Based on the intelligent remote bid evaluation monitoring system, the application provides a bid evaluation expert abnormal behavior determination method and device in the remote bid evaluation video conference process, electronic equipment and a storage medium. The method, the apparatus, the electronic device, and the storage medium for determining abnormal behavior of a bid evaluation expert in a remote bid evaluation video conference process according to the embodiments of the present application are described below with reference to the drawings.

Fig. 4 is a schematic flowchart of a method for determining an abnormal behavior of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application.

It should be noted that, the abnormal behavior identification method of the bid evaluation expert in the remote bid evaluation video conference process provided by the embodiment of the present application, can be executed by an abnormal behavior affirming device of the bid evaluation expert in the process of the remote bid evaluation video conference, which is called as an abnormal behavior affirming device for short hereinafter, the abnormal behavior affirming device can be configured in the intelligent remote bid evaluation supervision platform to realize the omnibearing integrated monitoring of the face video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned, in the process of the remote bid evaluation video conference, the position of the focus of the eyeballs of the bid evaluation expert, the face video picture and the screen operation picture are combined, abnormal behavior identification is automatically carried out on the bid evaluation expert from multiple dimensions, the cost of manual monitoring is reduced, and the accuracy of the abnormal behavior identification of the bid evaluation expert is improved.

As shown in fig. 4, the method for determining abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process may include the following steps:

step 401, in the process that the bid evaluation expert remotely evaluates the bid of the preset project through the video conference bid evaluation tool, a facial video picture of the bid evaluation expert and a screen operation picture of the terminal device where the video conference bid evaluation tool is located are obtained.

The preset items refer to items currently being evaluated by the evaluation expert.

The face video picture is acquired in real time in the bid evaluation process by a first camera installed in the terminal equipment or a second camera connected with the terminal equipment.

And the screen operation picture is obtained by acquiring a display interface of the terminal equipment in real time by the video conference bid evaluation tool in the bid evaluation process.

In the embodiment of the application, during the process that the bid evaluation expert remotely evaluates the bid of the preset project through the video conference bid evaluation tool, the video conference bid evaluation tool can determine the bid evaluation machine position where the bid evaluation expert is located, so that the first camera in the terminal equipment of the bid evaluation machine position where the bid evaluation expert is located or the second camera connected with the terminal equipment can acquire the facial video picture of the bid evaluation expert in real time, and the video conference bid evaluation tool can acquire the display interface of the terminal equipment in real time to obtain the screen operation picture. After the video conference comment standard tool acquires the face video picture and the screen operation picture of the comment standard expert, the face video picture and the screen operation picture can be sent to the abnormal behavior identification device in real time, correspondingly, in the process that the comment standard expert remotely comments the standard on the preset project through the video conference comment standard tool, the abnormal behavior identification device can acquire the face video picture of the comment standard expert and the screen operation picture of the terminal equipment where the video conference comment standard tool is located.

Step 402, acquiring the position of the focus of the eyeball of the bid evaluation expert.

The position of the focus is an eyeball tracking sensor installed in the terminal equipment, and the eyeball motion condition of the bid evaluation expert is tracked.

In the embodiment of the application, an eyeball tracker can be installed in the terminal equipment of the bid evaluation machine position where the bid evaluation expert is located, the eyeball tracker can run simultaneously with a video conference bid evaluation tool installed in the terminal equipment, so that the bid evaluation expert can remotely evaluate a preset project through the video conference bid evaluation tool installed in the terminal equipment, an eyeball tracking sensor installed in the terminal equipment can track the eyeball activity condition of the bid evaluation expert, and the position of the focus of the eyeball of the bid evaluation expert is obtained.

And 403, according to the position of the face video picture, the screen operation picture and the focus, performing abnormal behavior identification on the bid evaluation process of the bid evaluation expert on the preset project.

In the embodiment of the application, the abnormal behavior affirmation device can combine the position of face video picture, screen operation picture and focus place, carries out abnormal behavior affirmation to the standard evaluation expert to the standard evaluation process of presetting the project from multiple dimensions to improve the accuracy of the abnormal behavior affirmation to the standard evaluation expert.

Specifically, step 403 may be implemented in the following manner as shown in steps 403a-403 d:

step 403a, based on the face video picture, determining whether at least one of the following first abnormal behaviors exists in the bid evaluation expert in the bid evaluation process: the bid evaluation expert is not the expert, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is.

In the embodiment of the application, the face detection can be performed on the face video picture to identify whether the face video picture contains a face. And under the condition that the face is not included in the face video picture, the appraising expert can be directly determined not to be the expert. Under the condition that the face video picture contains the face, the face video picture can be subjected to feature extraction to obtain the face features in the face video picture, the face features are matched with the known face features of the bid evaluation experts to obtain the matching degree between the face features and the known face features, when the matching degree is greater than a preset first threshold value, the bid evaluation experts are determined to be the experts, and when the matching degree is not greater than the preset first threshold value, the bid evaluation experts are determined not to be the experts. The first threshold may be arbitrarily set as required, for example, set to 80%, 90%, and the like, which is not limited in this application. The known human face features are human face features extracted from human face images of pre-collected evaluation experts.

In the embodiment of the application, human body detection can be performed on the face video picture to identify whether the face video picture contains a preset human body part, wherein the preset human body part comprises at least one of a head part, an upper half body and a whole body, when the face video picture does not contain the preset human body part, the evaluation expert is determined to be off duty, and when the face video picture contains the preset human body part, the evaluation expert is determined to be on duty.

In this embodiment of the application, human body detection may be performed on the face video picture to identify whether a preset human body part is included in the face video picture, where the preset human body part includes at least one of a head, an upper body, and a whole body. Under the condition that the face video picture contains the preset human body part, whether the preset human body part belongs to the same human body or not can be judged, if yes, the evaluation room where the evaluation expert is located is determined not to have other people to break into, and if the preset human body part does not belong to the same human body, the evaluation room where the evaluation expert is located is determined to have other people to break into. And under the condition that the face video picture does not contain the preset human body part, the step of judging whether other people enter the bidding evaluation room where the bidding evaluation expert is located can be stopped.

It should be noted that, the above-mentioned manner of determining whether the bid evaluation expert is the expert himself or herself in the bid evaluation process based on the facial video picture, whether the bid evaluation expert leaves the post or whether the bid evaluation expert in the bid evaluation room has another person to break into is only an exemplary illustration, and in practical application, a skilled person in the art may implement the determination of whether the bid evaluation expert is the expert, whether the bid evaluation expert leaves the post or not, and whether the bid evaluation expert in the bid evaluation room has another person to break into through any other manner, which is not limited in the present application.

Step 403b, based on the screen operation picture, determining whether the bid evaluation expert has the following second abnormal behavior in the bid evaluation process: and the bid evaluation expert watches other display interfaces irrelevant to the bid evaluation item through the terminal equipment.

In the embodiment of the application, the display content in the screen operation picture can be identified, and the identified display content is compared with the normal display content of the display interface of the video conference bid evaluation tool in the pre-stored bid evaluation process. Under the condition that the matching degree of the identified display content and the normal display content is greater than a preset second threshold value, it can be determined that the bid evaluation expert does not have a second abnormal behavior; and under the condition that the matching degree of the identified display content and the normal display content is smaller than or equal to a preset second threshold, determining that the second abnormal behavior exists in the bid evaluation expert. The second threshold may be arbitrarily set as required, for example, set to 80%, 90%, and the like, which is not limited in this application.

Step 403c, based on the position of the focus, judging whether the bid evaluation expert has the following third abnormal behavior in the bid evaluation process: and the bid evaluation expert does not watch the screen display interface of the terminal equipment.

In the embodiment of the application, after the abnormal behavior recognizing device acquires the position of the focus of the eyeball of the bid evaluation expert, the position of the focus can be judged, and whether the focus is located in the area where the screen of the terminal device is located or not can be judged. Under the condition that the position of the focus is located in the area where the screen of the terminal equipment is located, it can be determined that the third abnormal behavior does not exist in the bid evaluation process of the bid evaluation expert; and under the condition that the position of the focus is not located in the area of the screen of the terminal equipment, determining that a third abnormal behavior exists in the bid evaluation process of the bid evaluation expert.

And step 403d, when the bid evaluation expert has at least one of the first abnormal behavior, the second abnormal behavior and the third abnormal behavior in the bid evaluation process, determining that the bid evaluation expert has the abnormal behavior in the bid evaluation process of the preset item.

In an embodiment of the application, the abnormal behavior recognizing device may recognize whether the bid evaluation expert has an abnormal behavior in the bid evaluation process of the preset item according to whether the bid evaluation expert has a first abnormal behavior, a second abnormal behavior and a third abnormal behavior in the bid evaluation process. And when at least one of the first abnormal behavior, the second abnormal behavior and the third abnormal behavior exists in the bid evaluation process of the bid evaluation expert, the bid evaluation expert is determined to have the abnormal behavior in the bid evaluation process of the preset item. And under the condition that the first abnormal behavior, the second abnormal behavior and the third abnormal behavior do not exist in the bid evaluation process of the bid evaluation expert, the bid evaluation expert is determined to have no abnormal behavior in the bid evaluation process of the preset project.

In addition, under the condition that the abnormal behavior is identified for the bid evaluation expert in the bid evaluation process of the preset project and the abnormal behavior is identified for the bid evaluation expert in the bid evaluation process of the preset project, the early warning information can be output to prompt a project manager or other bidding monitoring personnel that the abnormal behavior exists in the bid evaluation expert in the bid evaluation process.

The early warning information may include project information of a current preset project, expert information of a bid evaluation expert with abnormal behavior, early warning content (for example, the expert is not the expert himself, leaves the post, has another person break into, and the bid evaluation expert watches other display interfaces unrelated to the bid evaluation project through the terminal device), early warning time, shooting of early warning evidence (screenshot of a face video picture and a screen operation picture), and the like.

To sum up, the method for identifying abnormal behavior of a bid evaluation expert in a remote bid evaluation video conference process according to the embodiment of the present application acquires a facial video frame of the bid evaluation expert and a screen operation frame of a terminal device where the video conference bid evaluation tool is located during the process of remotely evaluating a preset item by the bid evaluation expert through the video conference bid evaluation tool, acquires a position of a focus of an eyeball of the bid evaluation expert, identifies abnormal behavior of the bid evaluation expert in the bid evaluation process of the preset item according to the facial video frame, the screen operation frame and the position of the focus, realizes all-round integrated monitoring of the facial video frame of the bid evaluation expert and the screen operation frame of the terminal device where the video conference bid evaluation tool is located, and combines the position of the focus of the eyeball of the bid evaluation expert, the facial video frame and the screen operation frame of the terminal device where the video conference bid evaluation tool is located during the remote bid evaluation video conference, and the abnormal behavior of the bid evaluation expert is automatically identified from multiple dimensions, so that the cost of manual monitoring is reduced, and the accuracy of identifying the abnormal behavior of the bid evaluation expert is improved.

Corresponding to the method for determining the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process provided in the embodiment of fig. 4, the present application further provides a device for determining the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process, because the device for determining the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process provided in the embodiment of the present application corresponds to the method for determining the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process provided in the embodiment of fig. 4, the embodiment of the method for determining the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process provided in the embodiment of the present application is also applicable to the device for determining the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process provided in the embodiment of the present application, and will not be described in detail in the embodiment of the present application.

Fig. 5 is a schematic structural diagram of an abnormal behavior recognizing device of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application.

As shown in fig. 5, the abnormal behavior determination apparatus 500 of the bid evaluation expert in the remote bid evaluation video conference process may include: a first acquisition module 510, a second acquisition module 520, and a qualification module 530.

The first obtaining module 510 is configured to obtain a facial video picture of a bid evaluation expert and a screen operation picture of a terminal device where the video conference bid evaluation tool is located in a process that the bid evaluation expert remotely evaluates a preset project through the video conference bid evaluation tool;

a second obtaining module 520, configured to obtain a position where a focus of an eyeball of the bid evaluation expert is located;

the determining module 530 is configured to determine, according to the facial video picture, the screen operation picture, and the position of the focus, an abnormal behavior of the bid evaluation expert in the bid evaluation process of the preset item.

As a possible implementation manner of the embodiment of the present application, the determining module 530 includes:

a first judging unit, configured to judge, based on the face video picture, whether at least one of the following first abnormal behaviors exists in the bid evaluation expert during the bid evaluation process: the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is located;

the second judgment unit is used for judging whether the following second abnormal behaviors exist in the bid evaluation process of the bid evaluation expert based on the screen operation picture: the bid evaluation expert watches other display interfaces irrelevant to the bid evaluation project through the terminal equipment;

the third judging unit is used for judging whether the following third abnormal behaviors exist in the bid evaluation process of the bid evaluation expert based on the position of the focus: the bid evaluation expert does not watch a screen display interface of the terminal equipment;

and the identification unit is used for identifying that the bid evaluation expert has abnormal behaviors in the bid evaluation process of the preset item when the bid evaluation expert has at least one of the first abnormal behavior, the second abnormal behavior and the third abnormal behavior in the bid evaluation process.

As a possible implementation manner of the embodiment of the present application, the third determining unit is specifically configured to:

judging whether the position of the focus is located in the area where the screen of the terminal equipment is located;

determining that a third abnormal behavior does not exist in the bid evaluation process of the bid evaluation expert under the condition that the position of the focus is located in the area of the screen of the terminal equipment;

and under the condition that the position of the focus is not located in the area of the screen of the terminal equipment, determining that a third abnormal behavior exists in the bid evaluation process of the bid evaluation expert.

As a possible implementation manner of the embodiment of the application, a facial video picture is acquired in real time in an evaluation process by a first camera installed in a terminal device or a second camera connected with the terminal device;

the screen operation picture is obtained by acquiring a display interface of the terminal equipment in real time by the video conference bid evaluation tool in the bid evaluation process;

the position of the focus is obtained by tracking the eyeball activity condition of the evaluation expert by an eyeball tracking sensor arranged in the terminal equipment.

The abnormal behavior affirmation device of the bid evaluation expert in the remote bid evaluation video conference process of the embodiment of the application acquires the face video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned in the process that the bid evaluation expert remotely evaluates the preset project through the video conference bid evaluation tool, acquires the position of the focus of the eyeball of the bid evaluation expert, and affirms the abnormal behavior of the bid evaluation expert in the bid evaluation process of the preset project according to the face video picture, the screen operation picture and the position of the focus, thereby realizing the omnibearing integrated monitoring of the face video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned, and combining the position of the focus of the eyeball of the bid evaluation expert, the face video picture and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned in the remote bid evaluation video conference process, and the abnormal behavior of the bid evaluation expert is automatically identified from multiple dimensions, so that the cost of manual monitoring is reduced, and the accuracy of identifying the abnormal behavior of the bid evaluation expert is improved.

In order to implement the foregoing embodiments, the present application also provides an electronic device, which may include: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein when the processor executes the program, the processor executes the abnormal behavior identification method of the bid evaluation expert in the remote bid evaluation video conference process as proposed in the first aspect of the foregoing embodiments of the present application.

It should be noted that the explanation of the above embodiment of the method for determining abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process, which is provided in the embodiment of the first aspect, is also applicable to the electronic device of this embodiment, and is not described herein again.

The electronic equipment of the embodiment of the application acquires the facial video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned in the process that the bid evaluation expert remotely evaluates the preset project through the video conference bid evaluation tool, acquires the position of the focus of the eyeball of the bid evaluation expert, and identifies the abnormal behavior of the bid evaluation expert in the bid evaluation process of the preset project according to the facial video picture, the screen operation picture and the position of the focus, thereby realizing the omnibearing integrated monitoring of the facial video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned, and combining the position of the focus of the eyeball of the bid evaluation expert, the facial video picture and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is positioned in the process of remotely evaluating the bid video conference, and the abnormal behavior of the bid evaluation expert is automatically identified from multiple dimensions, so that the cost of manual monitoring is reduced, and the accuracy of identifying the abnormal behavior of the bid evaluation expert is improved.

In order to achieve the above embodiments, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for recognizing abnormal behavior of a bid evaluation expert during a remote bid evaluation video conference as proposed in the foregoing first aspect of the present application.

In order to implement the foregoing embodiments, the present application further provides a computer program product, where the computer program product includes a computer program, and when the computer program is executed by a processor, the computer program implements the method for determining abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process proposed in the foregoing first aspect of the present application.

As shown in fig. 6, the electronic device may include:

a memory 601, a processor 602, and a computer program stored on the memory 601 and executable on the processor 602.

The processor 602, when executing the program, implements the abnormal behavior determination method for the bid evaluation expert in the remote bid evaluation video conference process provided in the embodiment shown in fig. 4.

Further, the electronic device may further include:

a communication interface 603 for communication between the memory 601 and the processor 602.

The memory 601 is used for storing computer programs that can be run on the processor 602.

Memory 601 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The processor 602 is configured to implement the abnormal behavior determination method for the bid evaluation expert in the remote bid evaluation video conference process according to the embodiment shown in fig. 4 when executing the program.

If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.

Optionally, in a specific implementation, if the memory 601, the processor 602, and the communication interface 603 are integrated on a chip, the memory 601, the processor 602, and the communication interface 603 may complete mutual communication through an internal interface.

Processor 602 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present invention.

In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.

The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.

It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims

1. A method for identifying abnormal behaviors of bid evaluation experts in a remote bid evaluation video conference process is characterized by comprising the following steps:

the method comprises the steps that in the process that an evaluation expert remotely evaluates a preset project through a video conference evaluation tool, a face video picture of the evaluation expert and a screen operation picture of terminal equipment where the video conference evaluation tool is located are obtained;

acquiring the position of the focus of the eyeball of the bid evaluation expert;

and according to the face video picture, the screen operation picture and the position of the focus, performing abnormal behavior identification on the bid evaluation process of the bid evaluation expert on the preset project.

2. The method according to claim 1, wherein the identifying abnormal behavior of the bid evaluation expert in the bid evaluation process of the preset item according to the facial video picture, the screen operation picture and the position of the focus comprises:

based on the facial video picture, judging whether the bid evaluation expert has at least one of the following first abnormal behaviors in the bid evaluation process: the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room in which the bid evaluation expert is located;

judging whether the bid evaluation expert has the following second abnormal behaviors in the bid evaluation process based on the screen operation picture: the bid evaluation expert watches other display interfaces irrelevant to the bid evaluation item through the terminal equipment;

based on the position of the focus, judging whether the bid evaluation expert has the following third abnormal behavior in the bid evaluation process: the bid evaluation expert does not watch a screen display interface of the terminal equipment;

and when at least one of the first abnormal behavior, the second abnormal behavior and the third abnormal behavior exists in the bid evaluation process of the bid evaluation expert, the bid evaluation expert is determined to have the abnormal behavior on the bid evaluation process of the preset item.

3. The method according to claim 2, wherein the judging whether the bid evaluation expert has the following third abnormal behavior in the bid evaluation process is performed based on the position of the focus: the bid evaluation expert does not watch the screen display interface of the terminal equipment, and the method comprises the following steps:

determining that the third abnormal behavior does not exist in the bid evaluation process of the bid evaluation expert under the condition that the position of the focus is located in the area where the screen of the terminal equipment is located;

and under the condition that the position of the focus is not located in the area where the screen of the terminal equipment is located, determining that the third abnormal behavior exists in the bid evaluation process of the bid evaluation expert.

4. The method according to any one of claims 1 to 3, wherein the facial video pictures are collected in real time in the bid evaluation process by a first camera installed in the terminal equipment or a second camera connected with the terminal equipment;

and the position of the focus is obtained by tracking the eyeball activity condition of the bid evaluation expert by an eyeball tracking sensor arranged in the terminal equipment.

5. An abnormal behavior affirmation device of bid evaluation expert in the course of remote bid evaluation video conference, characterized by comprising:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a facial video picture of an evaluation expert and a screen operation picture of terminal equipment where a video conference evaluation tool is located in the process that the evaluation expert remotely evaluates a preset project through the video conference evaluation tool;

the second acquisition module is used for acquiring the position of the focus of the eyeball of the bid evaluation expert;

and the identification module is used for identifying abnormal behaviors of the bid evaluation expert in the bid evaluation process of the preset project according to the facial video picture, the screen operation picture and the position of the focus.

6. The apparatus of claim 5, wherein the identification module comprises:

a first judging unit, configured to judge, based on the facial video picture, whether the bid evaluation expert has at least one of the following first abnormal behaviors in the bid evaluation process: the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room in which the bid evaluation expert is located;

the second judging unit is used for judging whether the following second abnormal behaviors exist in the bid evaluation process of the bid evaluation expert based on the screen operation picture: the bid evaluation expert watches other display interfaces irrelevant to the bid evaluation item through the terminal equipment;

a third judging unit, configured to judge, based on the position of the focus, whether the bid evaluation expert has the following third abnormal behavior in the bid evaluation process: the bid evaluation expert does not watch a screen display interface of the terminal equipment;

and the determining unit is used for determining that the bid evaluation expert has abnormal behaviors in the bid evaluation process of the preset item when the bid evaluation expert has at least one of the first abnormal behavior, the second abnormal behavior and the third abnormal behavior in the bid evaluation process.

7. The apparatus according to claim 6, wherein the third determining unit is specifically configured to:

8. The device according to any one of claims 5 to 7, wherein the facial video pictures are collected in real time in the bid evaluation process by a first camera installed in the terminal equipment or a second camera connected with the terminal equipment;

9. An electronic device, characterized in that the electronic device comprises: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to perform the method for determining abnormal behavior of a bidding expert during a remote bidding videoconference as claimed in any of claims 1 to 4.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method for determining abnormal behavior of a bid evaluation expert in a remote bid evaluation video conference according to any one of claims 1 to 4.