CN114429642A

CN114429642A - Abnormal behavior identification method for bid evaluation expert in remote bid evaluation video conference process

Info

Publication number: CN114429642A
Application number: CN202111593289.9A
Authority: CN
Inventors: 马学军; 左秋生; 田森; 史修立; 陈倩; 陈竞翔; 刘宇; 刘宝成; 徐庆洋
Original assignee: Huaneng Tendering Co ltd
Current assignee: Huaneng Tendering Co ltd
Priority date: 2021-12-23
Filing date: 2021-12-23
Publication date: 2022-05-03

Abstract

The application provides an abnormal behavior identification method of bid evaluation experts in a remote bid evaluation video conference process, and relates to the technical field of bid inviting and evaluation, wherein the method 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 facial video picture of the evaluation expert is obtained; carrying out human body detection 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, an upper half body and a whole body; and under the condition that the preset human body part is not contained in the face video picture, determining that the evaluation expert leaves the post. Therefore, whether the bid evaluation expert leaves the post or not is automatically determined in the remote bid evaluation process, and the labor cost of manual monitoring is reduced.

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 bid evaluation mode can be adopted for bid evaluation, and in the process of remotely evaluating bids, a bid evaluation expert needs to monitor whether abnormal behaviors leaving a bid evaluation machine position exist in the bid evaluation process. In the related art, in the process of remotely evaluating the bid remotely, a project manager usually monitors the bid evaluation process of the bid evaluation expert through a video conference display interface to determine whether the abnormal behavior exists in the bid evaluation process, and in this way, the bid evaluation expert needs to continuously watch the video conference display interface, so that the labor cost is high.

Disclosure of Invention

The application provides an abnormal behavior identification method for a bid evaluation expert in a remote bid evaluation video conference process, which is used for solving the technical problem of high labor cost of the abnormal behavior identification method in the remote bid evaluation process 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 facial video picture of the evaluation expert is obtained; carrying out human body detection 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, an upper half body and a whole body; and under the condition that the preset human body part is not contained in the face video picture, determining that the evaluation expert leaves the post.

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 an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a facial video picture of an evaluation expert in the process of remotely evaluating a preset project by the evaluation expert through a video conference evaluation tool; the identification module is used for carrying out human body detection on the face video picture so as 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, an upper half body and a whole body; and the first affirmation module is used for affirming that the evaluation expert leaves the post under the condition that the face video picture does not contain the preset human body part.

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 provided by the embodiment of the application has the following beneficial effects:

through appraising the mark expert and appraising the mark instrument through the video conference and carrying out the in-process of long-range mark of appraising to predetermineeing the project, acquire the facial video picture of appraising the mark expert, carry out human body detection to facial video picture, whether contain in the discernment facial video picture and predetermine the human body position, wherein, predetermine the human body position, including the head, the upper half body, whole body at least one, do not contain in the facial video picture and predetermine under the condition of human body position, the mark expert of appraising is left the post, whether automatic mark expert of appraising leaves the post to the mark expert of appraising of long-range mark in-process has been realized, and the human cost of manual monitoring has been reduced.

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 monitoring platform 120 may also provide a display interface for a large visual screen, 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 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 the 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 the embodiment of the present application, the evaluating process of each bid evaluation expert may include identifying whether each bid evaluation expert has at least one of the following abnormal behaviors in the evaluating process: the bid evaluation expert watches other display interfaces irrelevant to bid evaluation items 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 fact that the bid evaluation expert has at least one abnormal behavior is identified, 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 embodiment 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 this 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 bid evaluation process of the bid evaluation experts for remotely evaluating the preset project, the supervision platform 120 can realize the comprehensive integrated supervision of the facial video picture of the bid evaluation expert, the screen operation picture of the terminal equipment where the video conference bid evaluation tool 111 is located and the supervision picture of the bid evaluation room where the bid evaluation expert is located, can perform real-time intelligent analysis on the pictures, and performs intelligent early warning reminding when the bid evaluation expert is found to have abnormal behaviors, so that the intelligent supervision of the bid evaluation process is realized, the abnormal behaviors are timely discovered and prevented in advance, and in addition, three paths of video data of each bid evaluation expert can be simultaneously monitored and recorded according to the dimensionality of the bid evaluation expert or the dimensionality of the project, so that the whole bid evaluation process can be controlled, checked and traced, and the legal and compliant bid evaluation work of the bid evaluation is guaranteed.

In the embodiment of the present application, the monitoring platform 120 not only has the functions of querying 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 as to facilitate monitoring and checking of the bid evaluation process of the bid evaluation expert by related personnel.

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, and if the current face image is not consistent with the face image of the current bid evaluation expert, it can be determined that the current bid evaluation expert is not an 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 acquired in real time by the first camera in the terminal device of the bid evaluation station where the bid evaluation expert is located or the second camera connected to the terminal device, and the screen operation picture, which is acquired by the video conference bid evaluation tool 111 in real time by collecting the display interface of the terminal device, to the supervision 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 determination method for the bid evaluation expert in the remote bid evaluation video conference process provided by the embodiment of the present application can be executed by the abnormal behavior determination device for the bid evaluation expert in the remote bid evaluation video conference process, hereinafter referred to as abnormal behavior determination device for short, and the abnormal behavior determination device can be configured in the intelligent remote bid evaluation supervision platform, so as to automatically determine whether the bid evaluation expert leaves the post or not in the remote bid evaluation process, and reduce the labor cost of manual monitoring.

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 is 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.

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. After the video conference evaluation tool acquires the facial video pictures of the evaluation experts collected by the first camera or the second camera, the facial video pictures can be sent to the abnormal behavior identification device in real time, and correspondingly, in the process that the evaluation experts remotely evaluate the preset items through the video conference evaluation tool, the abnormal behavior identification device can acquire the facial video pictures of the evaluation experts in real time.

Step 402, detecting a human body 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 the head, the upper half body and the whole body.

The upper body may be an upper body including a head, or an upper body not including a head, which is not limited in the present application. The whole body may be a whole body including the head, or a whole body not including the head, which is not limited in the present application.

In the embodiment of the application, the human body detection model can be trained in advance, the input of the human body detection model is an image, the output is the probability of the preset human body part and the position coordinate of the detection frame of the preset human body part contained in the image, and then after the face video picture of the evaluation expert is obtained, the face video picture can be input into the trained human body detection model, so that the trained human body detection model is adopted, human body detection is carried out on the face video picture, and whether the preset human body part is contained in the face video picture or not is identified according to the probability output by the human body detection model. The probability output by the human body detection model can be compared with a preset probability threshold, when the probability output by the human body detection model is larger than the preset probability threshold, it is determined that the face video picture contains the preset human body part, and when the probability output by the human body detection model is not larger than the preset probability threshold, it is determined that the face video picture does not contain the preset human body part.

The human body detection model can be any neural network model capable of realizing human body detection, and the type of the human body detection model is not limited in the application.

In this embodiment of the present application, the human body detection model may be obtained by training an initial human body detection model in a deep learning manner by using preset training data, and the training process may refer to related technologies, which is not described herein again. Deep learning performs better on large data sets than other machine learning methods. The preset training data can comprise a plurality of sample images, and each sample image is marked by whether a preset human body part is included or not.

In the remote bid evaluation video conference scene according to the embodiment of the present application, the probability that at least one of the head, the upper body and the whole body appears in the face video picture of the bid evaluation expert is high, and the preset training data used in training the initial human body detection model may include a large number of sample images including at least one of the head, the upper body and the whole body in the scene so that the trained human body detection model can accurately recognize whether the face video picture in the scene includes at least one of the head, the upper body and the whole body, so that the identification accuracy of the trained human body detection model in the scene is improved by performing large data learning using a large number of sample images including at least one of the head, the upper body and the whole body.

And 403, determining that the bid evaluation expert leaves the post under the condition that the face video picture does not contain the preset human body part.

In the embodiment of the application, under the condition that the abnormal behavior identification device identifies that the face video picture does not contain the preset human body part, the bid evaluation expert can be identified to be off duty; and under the condition that the face video picture contains the preset human body part, determining that an evaluation expert is on duty. When the user leaves the post, the user can indicate that the bid evaluation expert does not evaluate the bid on the bid evaluation machine position. On duty, the bid evaluation expert can be instructed to evaluate the bid on the bid evaluation machine position.

It should be noted that, in the embodiment of the present application, in the whole process of the remote bid evaluation process, the facial video picture of the bid evaluation expert may be obtained at a preset time interval, and at the time of obtaining the facial video picture of the bid evaluation expert, whether the bid evaluation expert leaves the post is determined according to the facial video picture obtained at the time. The preset time interval may be arbitrarily set as required, and may be set to 30 seconds, 20 seconds, or the like, for example. Compared with the method for confirming the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process, the method for confirming the abnormal behavior of the bid evaluation expert in the remote bid evaluation video conference process can reduce the labor cost by continuously monitoring whether the bid evaluation expert leaves the post manually in the whole course of the remote bid evaluation process.

In the embodiment of the application, after the bid evaluation expert is determined to be off post, the early warning information can be output to prompt a project manager or other bidding monitoring personnel that the bid evaluation expert has abnormal behaviors in the bid evaluation process. The early warning information may include the project information of the current preset project, the expert information of the bid evaluation expert with the abnormal behavior, the early warning content (such as the bid evaluation expert leaving the post), the early warning time, and the shooting of early warning evidence (such as the screenshot of the face video picture).

Furthermore, different early warning information can be output according to the duration of off duty of the bid evaluation expert. For example, when the off-duty time of the bid evaluation expert is short, a prompt message that the bid evaluation expert is not in the camera shooting range is output; when the off duty time of the bid evaluation expert is longer, a prompt message that the bid evaluation expert possibly leaves the bid evaluation room is output.

That is, after step 403, the method may further include:

judging whether the duration of off post of the bid evaluation expert exceeds a first preset time threshold, and if so, outputting first early warning information;

and judging whether the duration of the off duty of the bid evaluation expert exceeds a second preset time threshold, if so, outputting second early warning information, wherein the first preset time threshold is smaller than the second preset time threshold.

The first preset time threshold and the second preset time threshold can be set arbitrarily as required, and the first preset time threshold is smaller than the second preset time threshold. For example, the first preset time threshold may be 1 minute, and the second preset time threshold may be 5 minutes.

The early warning content and the early warning mode corresponding to the first early warning information and the second early warning information respectively can be set randomly according to needs. For example, the early warning content of the first early warning information may be set to "the assessment expert is not at the assessment station", the early warning mode is to display a message notification on a display screen of the terminal device used by the monitoring personnel, the early warning content of the second early warning information is to "the assessment expert may have left the assessment room", the early warning mode is to display a message notification on a display screen of the terminal device used by the monitoring personnel, and the early warning content is broadcasted by voice at the same time.

The duration of off duty of the bid evaluation expert can be determined in the following manner: in the whole process of the remote bid evaluation process, the face video picture of the bid evaluation expert is obtained at a preset time interval, at the moment of obtaining the face video picture of the bid evaluation expert, whether the bid evaluation expert leaves the post is determined according to the face video picture obtained at the moment, when the face video picture obtained at a certain moment t1 is determined to leave the post, timing can be started, when the face video picture obtained at a certain later moment t2 is determined to be on the post, timing is stopped, the difference between t2 and t1 is obtained, and the difference is the duration of the bid evaluation expert leaving the post.

In the embodiment of the application, after the comment expert is determined to be off duty according to the facial video picture acquired at a certain time t1 and timing is started, when the timing time exceeds a first preset time threshold, first early warning information can be output, timing is continued, and when the timing time exceeds a second preset time threshold, second early warning information can be output.

For example, assume that the first predetermined time threshold is 1 minute and the second predetermined time threshold is 5 minutes. Assuming that the bid evaluation expert is determined to be off duty according to the facial video picture obtained by the time t1, the time t1 is used as the starting time, when the time exceeds 1 minute, a message notification that the content of the message notification is that the bid evaluation expert is not at the bid evaluation machine position is displayed on the display screen of the terminal device used by the bid supervisor, and when the time is continuously counted until the time exceeds 5 minutes, a message notification that the content of the message notification is that the bid evaluation expert may leave the bid evaluation room is displayed on the display screen of the terminal device used by the bid evaluation staff, and the early warning content of the message notification is broadcasted in a voice mode.

In addition, it can be understood that the bid evaluation expert needs to log in the video conference bid evaluation tool to perform remote bid evaluation on the preset project through the video conference bid evaluation tool. In the embodiment of the application, when the bid evaluation expert logs in the video conference bid evaluation tool, the abnormal behavior identification device can also identify whether the bid evaluation expert currently executing the login operation is the bid evaluation expert, when the bid evaluation expert is identified to log in, the bid evaluation expert is determined to successfully log in the video conference bid evaluation tool, and then in the bid evaluation process, whether the bid evaluation expert leaves the post is identified so as to identify whether the bid evaluation expert is off the post. That is, the method provided in the embodiment of the present application, before the bid evaluation expert performs remote bid evaluation on the preset item through the video conference bid evaluation tool, may further include:

and performing identity authentication on the bid evaluation expert, and determining that the bid evaluation expert successfully logs in the video conference bid evaluation tool when the identity authentication of the bid evaluation expert passes.

Specifically, when the bid evaluation expert registers the expert account of the video conference bid evaluation tool, the abnormal behavior determination device can acquire the face image of the bid evaluation expert. When the bid evaluation expert logs in the video conference bid evaluation tool, the abnormal behavior determination device can collect the current face image of the bid evaluation expert who currently executes the login operation, and compare the current face image with the face image of the bid evaluation expert who is collected in advance. If the current face image is consistent with the face image of the pre-collected bid evaluation expert, the bid evaluation expert who executes the login operation currently can be determined as the bid evaluation expert, namely the identity authentication of the bid evaluation expert passes, and the bid evaluation expert who executes the login operation currently can be determined to successfully log in the video conference bid evaluation tool. If the current face image is inconsistent with the face image of the pre-collected bid evaluation expert, it can be determined that the bid evaluation expert who currently executes the login operation is not the bid evaluation expert, that is, the identity authentication of the bid evaluation expert is not passed, so that the bid evaluation expert who currently executes the login operation is not allowed to log in the video conference bid evaluation tool.

The method comprises the steps of extracting the face features in the current face image, matching the face features in the current face image with the known face features of the standard evaluation expert, obtaining the matching degree of the face features in the current face image and the known face features, and comparing the matching degree with a preset matching degree threshold value to determine whether the current face image is consistent with the face image of the standard evaluation expert, wherein the face images are collected in advance. The known face features of the bid evaluation experts are face features extracted from face images of the bid evaluation experts collected in advance.

In the embodiment of the application, before the bid evaluation expert remotely evaluates the preset project through the video conference bid evaluation tool, identity authentication is carried out on the bid evaluation expert, and when the identity authentication of the bid evaluation expert passes, after the bid evaluation expert is determined to successfully log in the video conference bid evaluation tool, if the bid evaluation expert remotely evaluates the preset project through the video conference bid evaluation tool in the process of remotely evaluating the bid according to the facial video picture of the bid evaluation expert, the bid evaluation expert can be determined to be off duty; and if the bid evaluation expert is determined to be on duty according to the face video picture of the bid evaluation expert in the process of remotely evaluating the bid of the preset project by the bid evaluation expert through the video conference bid evaluation tool, the bid evaluation expert can be determined to be on duty.

In summary, according to the abnormal behavior determination method for the bid evaluation expert in the remote bid evaluation video conference process, in the process that the bid evaluation expert remotely evaluates the preset project through the video conference bid evaluation tool, the face video picture of the bid evaluation expert is obtained, human body detection is performed on the face video picture, whether a preset human body part is included in the face video picture is identified, wherein the preset human body part comprises at least one of the head part, the upper half body and the whole body, and under the condition that the preset human body part is not included in the face video picture, the bid evaluation expert is determined to be off duty, whether the bid evaluation expert is off duty is automatically determined in the remote bid evaluation process, and the labor cost of manual monitoring is reduced.

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, and since 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 suitable for 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: an acquisition module 510, a recognition module 520, and a first qualification module 530.

The obtaining module 510 is configured to obtain a facial video picture of a bid evaluation expert during a process that the bid evaluation expert remotely evaluates a preset project through a video conference bid evaluation tool;

the identification module 520 is configured to perform human body detection on the face video image to identify whether the face video image includes a preset human body part; wherein, the preset human body part comprises at least one of the head, the upper half body and the whole body;

the first determining module 530 is configured to determine that the bid evaluation expert is off duty when the face video picture does not include the preset human body part.

As a possible implementation manner of the embodiment of the present application, the identifying module 520 is specifically configured to:

adopting a trained human body detection model to carry out human body detection on the face video picture so as to identify whether the face video picture contains a preset human body part or not;

the human body detection model is obtained by adopting preset training data and training in a deep learning mode; and presetting training data, wherein the training data comprise a plurality of sample images, and each sample image is marked by judging whether the preset human body part is included.

As a possible implementation manner of the embodiment of the present application, the apparatus 500 for determining abnormal behavior of a bid evaluation expert in a remote bid evaluation video conference process further includes:

and the determining module is used for performing identity authentication on the bid evaluation expert and determining that the bid evaluation expert successfully logs in the video conference bid evaluation tool when the identity authentication of the bid evaluation expert passes.

and the second identification module is used for identifying that the evaluation expert is on duty under the condition that the face video picture contains the preset human body part.

the first judgment module is used for judging whether the duration of off post of the bid evaluation expert exceeds a first preset time threshold value;

the first output module is used for outputting first early warning information when the duration of off post of the bid evaluation expert exceeds a first preset time threshold;

the second judgment module is used for judging whether the duration of off post of the bid evaluation expert exceeds a second preset time threshold;

and the second output module is used for outputting second early warning information when the duration of off post of the bid evaluation expert exceeds a second preset time threshold, wherein the first preset time threshold is smaller than the second preset time threshold.

The device is confirmed to long-range commentaries on classics mark video conference in-process commentaries on classics mark expert's unusual action of commentaries on classics mark expert, through appraising the mark expert and appraising the in-process that the mark instrument carries out long-range commentaries on classics mark to the project through the video conference, acquire and appraise mark expert's facial video picture, carry out human body detection to facial video picture, whether contain in the discernment facial video picture and predetermine human body position, wherein, predetermine human body position, including the head, the upper half body, at least one in the whole body, do not contain in facial video picture and predetermine under the condition of human body position, it leaves the post to confirm to appraise mark expert, realized that long-range commentaries on classics mark in-process is automatic to appraising mark expert whether leave the post and affirmed, and reduced manual monitoring's human cost.

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 this application embodiment, through appraising the mark expert and appraising the mark instrument through the video conference and to predetermineeing the in-process that the project carries out long-range mark, acquire the face video picture of appraising the mark expert, carry out human body detection to face video picture, whether contain in the discernment face video picture and predetermine human body position, wherein, predetermine human body position, including the head, the upper half body, at least one in the whole body, do not contain in face video picture and predetermine under the condition of human body position, the mark expert leaves the post of appraising is affirmed, realized that long-range mark in-process is automatic to appraising the mark expert whether leave the post and affirm, and reduced manual monitoring's human cost.

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 a bid evaluation expert remotely evaluates a preset project through a video conference bid evaluation tool, a face video picture of the bid evaluation expert is obtained;

carrying out human body detection 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, an upper half body and a whole body;

and under the condition that the preset human body part is not contained in the face video picture, determining that the evaluation expert leaves the post.

2. The method of claim 1, wherein the performing human body detection on the facial video picture to identify whether the facial video picture contains a preset human body part comprises:

adopting a trained human body detection model to perform human body detection on the face video picture so as to identify whether the face video picture contains the preset human body part;

the human body detection model is obtained by adopting preset training data and training in a deep learning mode; the preset training data comprise a plurality of sample images, and each sample image is marked by whether the preset human body part is included or not.

3. The method according to claim 1, wherein before the bid evaluation expert remotely bids a preset item through a video conference bid evaluation tool, the method further comprises:

4. The method according to any one of claims 1-3, wherein after the human body detection is performed on the facial video picture to identify whether a preset human body part is included in the facial video picture, the method further comprises:

and under the condition that the face video picture contains the preset human body part, determining that the evaluation expert is on duty.

5. The method according to any of claims 1-3, further comprising, after said deeming said bid evaluation expert to be off duty:

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

the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a facial video picture of an evaluation expert in the process of remotely evaluating a preset project by the evaluation expert through a video conference evaluation tool;

the identification module is used for carrying out human body detection on the face video picture so as 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, an upper half body and a whole body;

and the first identification module is used for identifying that the evaluation expert leaves the post under the condition that the face video picture does not contain the preset human body part.

7. The apparatus according to claim 6, wherein the identification module is specifically configured to:

8. The apparatus of claim 6, further comprising:

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 1-5.

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 5.