CN113810667B - Channel wind control system based on video backtracking mode - Google Patents

Channel wind control system based on video backtracking mode Download PDF

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Publication number
CN113810667B
CN113810667B CN202111373892.6A CN202111373892A CN113810667B CN 113810667 B CN113810667 B CN 113810667B CN 202111373892 A CN202111373892 A CN 202111373892A CN 113810667 B CN113810667 B CN 113810667B
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video
matching
face
task
cloud server
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CN113810667A (en
Inventor
毕晋铭
刘述军
汪琳建
袁培蓉
徐桂贞
翁达睿
孙月
张钧蓉
侯茂媛
罗开琼谋
杨森
刘殊谋
胡杰
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Chengdu Wangxiaobao Technology Co ltd
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Chengdu Wangxiaobao Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • G06Q30/0185Product, service or business identity fraud
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate
    • G06Q50/167Closing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60Network streaming of media packets
    • H04L65/65Network streaming protocols, e.g. real-time transport protocol [RTP] or real-time control protocol [RTCP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/80Responding to QoS

Abstract

The invention discloses a channel wind control system based on a video backtracking mode, which comprises a monitoring camera, a witness all-in-one machine, a case edge server and a cloud server, wherein the monitoring camera is connected with the witness all-in-one machine; the monitoring camera is used for recording the case field monitoring video and transmitting the case field monitoring video stream to the case field edge server; the human-card all-in-one machine is used for carrying out identity authentication on the face information of the client, and transmitting the authorized face of the client to the cloud server after the identity authentication is passed; the cloud server is used for managing algorithm configuration and risk judgment management, assembling a matching task according to the face information of the client and sending the matching task to the case edge server; the case edge server is used for performing motion line analysis on the video stream transmitted by the monitoring camera, storing necessary videos, and performing video backtracking and authorized face matching on the snapshot video according to a matching task issued by the cloud server. The method and the system are compatible with privacy security, and can finish early warning of channel risks.

Description

Channel wind control system based on video backtracking mode
Technical Field
The invention belongs to the technical field of channel wind control, and particularly relates to a channel wind control system based on a video backtracking mode.
Background
Channel sales represent a crucial part of the real estate sales industry. The channel commission has high profit return, which allows people to have the situation that misreport information cheats high profit. The channel wind control system becomes the on-demand system for the local producer.
The mainstream channel wind control system takes face snapshot as a core technical point, and the AI face snapshot camera is installed on the case to snapshot the face of the client arriving at the case and record the visit record of the client. And determining channel risks through visiting records when the client deals. But the proposal has a great problem of legal compliance, and the client does not carry out any face information authorization after arriving at the case. However, the snapshot machine already performs face analysis, storage and transmission operations on all clients. This violates the regulations of the highest people's court regarding the use of face recognition technology to justify the handling of several problems of the applicable law of the civil case related to personal information.
Disclosure of Invention
The invention aims to provide a channel wind control system based on a video backtracking mode to overcome the defects of the prior art.
The purpose of the invention is realized by the following technical scheme: a channel wind control system based on a video backtracking mode comprises a monitoring camera, a witness all-in-one machine, a case edge server and a cloud server;
the monitoring camera is used for recording the case field monitoring video and transmitting the case field monitoring video stream to the case field edge server;
the human-card all-in-one machine is used for carrying out identity authentication on the face information of the client, and transmitting the authorized face of the client to the cloud server after the identity authentication is passed;
the cloud server is used for managing algorithm configuration and risk judgment management, assembling a matching task according to the face information of the client and sending the matching task to the case edge server;
the case edge server is used for performing motion line analysis on a video stream transmitted by the monitoring camera, storing necessary videos, performing video backtracking and authorized face matching on the snapshot video according to a matching task issued by the cloud server, acquiring a visiting record of a client, and participating in judgment of channel wind control.
Further: the monitoring camera supports RTSP streaming.
Further: the specific process of the case edge server for storing the snapshot video comprises the following steps: the method comprises the steps of configuring working time according to office work time, storing videos in the working time, carrying out passenger flow analysis on RTSP (real time streaming protocol) flows in the working time, carrying out region division on pictures shot by a camera, dividing regions where the passenger flows pass, analyzing through a dynamic line analysis algorithm, and storing the video flows when a living object passes through the regions.
Further: the specific steps of the face matching are as follows: segmenting videos in the interval according to the time interval of the videos needing to be matched, and concurrently processing the video streams in each day by using a multithreading mode; adopting a frame-extracting video picture-intercepting mode for video streaming, comparing and analyzing the intercepted pictures with an authorized face list one by one to obtain a similarity threshold, marking and storing the video pictures when the similarity threshold is higher than a face matching similarity threshold, and recording the visiting time; returning the video pictures marked and stored in one day to the cloud server to realize sectional return results; when the matching task is completely executed, the cloud service task is informed of ending, a time interval of the matching result is returned, and after the cloud receives the completion of the task, the result in the time interval is compared to judge whether the collection is completed; and finishing the current task and pushing the next matching task after the collection is finished.
Further: the face matching is that the video streams are matched one by one, the face analysis result is only used when the video streams are matched, and the face analysis result is destroyed immediately after the task is completed.
Further: the communication mode of the cloud server comprises an http mode and an mqtt mode; and the consistency of data transmission is ensured through a timing task and a retry mechanism in the communication process.
Further: the cloud server stores all matching results and identity authentication results, and can delete the matching results at any time.
The aforementioned main aspects of the invention and their respective further alternatives can be freely combined to form a plurality of aspects, all of which are aspects that can be adopted and claimed by the present invention. The skilled person in the art can understand that there are many combinations, which are all the technical solutions to be protected by the present invention, according to the prior art and the common general knowledge after understanding the scheme of the present invention, and the technical solutions are not exhaustive herein.
The invention has the beneficial effects that: the system of the invention removes the link of capturing the visit, and changes the link into the link of storing the passenger flow monitoring screen and storing the passenger flow monitoring screen on the case edge server. The human face analysis and snapshot storage of unauthorized people is achieved. And when the house buyer swipes the evidence to buy the house, authorizing the use permission of the system face. And the system then uses the authorized face to distribute the matching task to the case edge server, and the video stream is subjected to frame extraction and image extraction one by one to be matched with the authorized face. And finally obtaining the visiting record of the house purchasing client and participating in the judgment of channel wind control. The matching result is not stored as the face feature, but is stored as the visit record, and the video stream is subjected to frame-by-frame extraction and image-extraction matching every time of matching, so that the personal privacy information of the client is strictly protected. Not only is the privacy safety compatible, but also the early warning of channel risks is completed.
Drawings
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is a flow chart of video storage in an embodiment of the invention;
fig. 3 is a flowchart of task execution in an embodiment of the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that, in order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments.
Referring to fig. 1, the invention discloses a channel wind control system based on a video backtracking mode, which is characterized by comprising a monitoring camera, a witness all-in-one machine, a case edge server and a cloud server;
the monitoring camera is used for recording the case field monitoring video and transmitting the case field monitoring video stream to the case field edge server;
the human-card all-in-one machine is used for carrying out identity authentication on the face information of the client, and transmitting the authorized face of the client to the cloud server after the identity authentication is passed;
the cloud server is used for managing algorithm configuration and risk judgment management, assembling a matching task according to the face information of the client and sending the matching task to the case edge server;
the case edge server is used for performing motion line analysis on a video stream transmitted by the monitoring camera, storing necessary videos, performing video backtracking and authorized face matching on the snapshot video according to a matching task issued by the cloud server, acquiring a visiting record of a client, and participating in judgment of channel wind control.
Monitoring the camera: the system has no excessive requirement on the camera, and only needs to support RTSP stream transmission, and the system transmits the video stream to the edge server to monitor and store the video. The method solves the problem of capturing and analyzing the unauthorized human face and achieves the compliance.
Testimony of a witness all-in-one: when a client purchases a house, the identity authentication can be carried out through the machine, and meanwhile, the system can pop up a face authorization notice for the client to select. The client passes the authorization, and after the snapshot authentication is passed, the information is transmitted to the cloud. And the cloud end carries out judgment and preparation of a matching task. At the moment, the problem of privacy authorization of the client is solved, and the privacy of the non-house-purchasing users is protected.
The case edge server: this server is the core of the overall system. It mainly accomplishes the following two major works.
1. Video storage
And the server can receive the real-time information of the case shooting through the RTSP stream pushed by the camera. When a camera on the market records video at present, the size of a video file per hour (unit: M bytes/hour) = code rate (Kbps) × 3600 seconds ÷ 8 ÷ 1024. The high-definition camera usually uses 6144Kbps rate video, so that the video size of one path of camera in 1 month is about 2T. Channel scheduling determines customer visit times typically takes approximately 6 months to proceed. So that the total amount of video will exceed 12T. Usually, at least 2 paths of cameras can meet the coverage of the inlet and the outlet. This results in 24T of video content. If the pictures are taken one by one every second and then matched, the overall efficiency is very low.
As shown in fig. 2, the system obtains the RTSP stream and introduces a dynamic line analysis algorithm, so as to divide the area of the picture taken by the camera and draw the area through which the passenger stream passes. Through algorithm analysis, the video stream when a living thing passes through the area is stored, and the video is not stored when no living thing exists in the area. Meanwhile, a video recording period is set according to the office work time. Thereby greatly reducing the overall amount of video. The efficiency is improved for subsequent matching of the face, and the method also conforms to laws and regulations. And the storage of the video is convenient for subsequent matching, and file partition storage is carried out according to the date.
2. Face matching
The edge server will perform face matching in the form of receiving tasks. As shown in fig. 3, after the customer swipes the certificate and authorizes the face to use through the testimony integrated machine, the cloud service assembles a matching task according to the face information and sends the matching task to the corresponding case edge server. After receiving the task, the edge server backtracks and matches the face of the user according to the detailed task information. The task details include: the authorized face image list, the video time interval needing matching and the face matching similarity threshold. According to the matched time interval, the algorithm service can segment the videos in the interval according to the days, and concurrently process the video streams in each day by utilizing a multithreading mode. And aiming at the analysis of the video stream, adopting a frame-extracting video picture-intercepting mode, and comparing and analyzing the intercepted pictures with the transmitted authorized human face one by one. And when the similarity threshold is higher than the face matching similarity threshold, marking and storing the video picture, and recording the visit time. Due to the fact that segmentation is carried out according to the day, after the videos in a certain day are completely matched, the face results matched in the day are returned to the cloud, and segmented return results are achieved. And after the task is completely executed, the cloud service is informed of the task ending and returns a time interval matched with the result, and after the cloud receives the task completion, the cloud compares whether the result in the time interval is completely collected. And finishing the current task and pushing the next matching task after the collection is finished.
In the matching process, the video streams are matched one by one, and the face analysis result in the process is only used in the matching process, so that the face analysis result is destroyed after the task is completed. Although each matching task is repeatedly executed, the privacy security of the client is guaranteed. Optimization of the algorithm and optimization of video storage enable the whole matching result to be controlled within 36 hours. The method is compatible with the requirements of most of the real estate merchants on channel wind control and customer judgment.
Cloud server: the cloud service mainly performs algorithm configuration management and risk judgment management. The method belongs to a conventional management system, and the communication modes with an edge server mainly comprise http modes, mqtt modes and the like. The consistency of data transmission is ensured by timing tasks, retry mechanisms and other modes in the communication process. Meanwhile, the cloud is also a storage end of all result data. The cloud stores all matching results and certificate swiping results, and aims to strengthen privacy security and compliance again. The cloud end has the function of deleting the matching result at any time, so that the condition that the algorithm matching result is not the self and the authorization of an authorizer is cancelled due to personal reasons under the extreme condition is avoided. And related face pictures can be removed in time.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (6)

1. A channel wind control system based on a video backtracking mode is characterized by comprising a monitoring camera, a testimony and witness all-in-one machine, a case edge server and a cloud server;
the monitoring camera is used for recording the case field monitoring video and transmitting the case field monitoring video stream to the case field edge server;
the human-card all-in-one machine is used for carrying out identity authentication on the face information of the client, and transmitting the authorized face of the client to the cloud server after the identity authentication is passed;
the cloud server is used for managing algorithm configuration and risk judgment management, assembling a matching task according to the face information of the client and sending the matching task to the case edge server;
the case edge server is used for performing motion line analysis on a video stream transmitted by the monitoring camera, storing necessary videos, performing video backtracking and authorized face matching on the snapshot video according to a matching task issued by the cloud server, acquiring a visiting record of a client, and participating in judgment of channel wind control;
the authorized face matching is that the video streams are matched one by one, the face analysis result is only used when matching is carried out, and the face analysis result is destroyed immediately after the task is completed; the cloud server stores all matching results and identity authentication results, and can delete the matching results at any time.
2. The video backtracking mode-based channel wind control system of claim 1, wherein the monitoring camera supports RTSP streaming.
3. The channel wind control system based on the video backtracking mode according to claim 1, wherein the concrete process of the case edge server storing the snapshot video is as follows: the method comprises the steps of configuring working time according to office work time, storing videos in the working time, carrying out passenger flow analysis on RTSP (real time streaming protocol) flows in the working time, carrying out region division on pictures shot by a camera, dividing regions where the passenger flows pass, analyzing through a dynamic line analysis algorithm, and storing the video flows when a living object passes through the regions.
4. The video backtracking mode-based channel wind control system according to claim 1, wherein the matching tasks include authorized face lists, video time intervals to be matched, and face matching similarity thresholds.
5. The video backtracking mode-based channel wind control system according to claim 4, wherein the face matching specifically comprises the steps of: segmenting videos in the interval according to the time interval of the videos needing to be matched, and concurrently processing the video streams in each day by using a multithreading mode; adopting a frame-extracting video picture-intercepting mode for video streaming, comparing and analyzing the intercepted pictures with an authorized face list one by one to obtain a similarity threshold, marking and storing the video pictures when the similarity threshold is higher than a face matching similarity threshold, and recording the visiting time; returning the video pictures marked and stored in one day to the cloud server to realize sectional return results; when the matching task is completely executed, the cloud service task is informed of ending, a time interval of the matching result is returned, and after the cloud receives the completion of the task, the result in the time interval is compared to judge whether the collection is completed; and finishing the current task and pushing the next matching task after the collection is finished.
6. The channel wind control system based on the video backtracking mode according to claim 1, wherein the communication mode of the cloud server comprises http and mqtt modes; and the consistency of data transmission is ensured through a timing task and a retry mechanism in the communication process.
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