CN116664081B

CN116664081B - Case data fixed certificate processing method, device and equipment based on quick-handling identification

Info

Publication number: CN116664081B
Application number: CN202310917825.9A
Authority: CN
Inventors: 吴苗苗
Original assignee: Hangzhou Weican Technology Co ltd
Current assignee: Hangzhou Weican Technology Co ltd
Priority date: 2023-07-25
Filing date: 2023-07-25
Publication date: 2023-10-24
Anticipated expiration: 2043-07-25
Also published as: CN116664081A

Abstract

The application provides a case data fixed certificate processing method, device and equipment based on quick office identification, which comprises the steps of obtaining case office data and storing fixed certificates; when the target specific object is detected, adding corresponding historical personnel data to the case delivery data to obtain current case delivery data; acquiring a case quick-handling identification result, and checking to obtain a summarized checking result after acquiring evidence obtaining data and current case delivery data; if the verification is determined to pass, acquiring document configuration data to generate notice data, and sending the notice data to the case quick-handling terminal. The method has the advantages that the cases data are stored and identified quickly and the cases data are stored and identified quickly, when the identification conditions of quick handling are met, the evidence obtaining data acquisition, the data auditing and the document configuration are carried out on the case handling data quickly, the final notice data are obtained, the processing efficiency of the case handling data is improved, and the data security of the whole process is high.

Description

Case data fixed certificate processing method, device and equipment based on quick-handling identification

Technical Field

The application relates to the technical field of artificial intelligence, in particular to a case data fixed certificate processing method, device and equipment based on quick office identification.

Background

At present, after the authority stores the acquired case data to be processed, the case data is generally distributed to the terminal of the processor or the terminal of the sponsor in sequence based on the time sequence of the case data in storage to process the normal processing flow. This results in simple programs, complete case data, and the case data with possible priority processing being processed in a normal order, which results in a defect in the authority server for the processing priority planning of the case data, so that the processing efficiency of the entire case data in the server is low.

Disclosure of Invention

The embodiment of the application provides a case data fixed certificate processing method, device and equipment based on quick-service identification, which aim to solve the problem that the processing efficiency of the whole case data in a server is low due to the defect of processing priority planning of the case data in the server of an authority mechanism in the prior art.

In a first aspect, an embodiment of the present application provides a case data fixing method based on quick office identification, including:

Responding to the data fixing instruction, obtaining corresponding case delivery data and performing fixing storage;

if a target specific object corresponding to the case delivery data is detected, acquiring personnel history data corresponding to the target specific object, and adding the history personnel data to the case delivery data to obtain current case delivery data;

identifying the current case delivery data based on a pre-trained quick-delivery identification model to obtain a case quick-delivery identification result;

if the case quick-handling identification result is determined to be the case quick-handling identification result, acquiring evidence obtaining data corresponding to the current case delivery data;

acquiring to-be-checked case data consisting of the current case delivery data and the evidence obtaining data, and performing summarized checking to obtain summarized checking results;

if the summarized auditing result is determined to be an auditing passing result, acquiring document configuration data corresponding to the to-be-audited case data, and generating notice data based on the to-be-audited case data and the document configuration data;

and if the notice data is confirmed to pass the internal verification, the notice data is sent to the case quick terminal.

In a second aspect, an embodiment of the present application provides a case data fixing and verifying device based on quick office identification, including:

the case delivery data storage unit is used for responding to the data fixing instruction, acquiring corresponding case delivery data and performing fixing storage;

the specific object data acquisition unit is used for acquiring personnel history data corresponding to the target specific object if the target specific object corresponding to the case delivery data is detected, and adding the history personnel data to the case delivery data to obtain current case delivery data;

the quick office identification unit is used for identifying the current case delivery data based on a pre-trained quick office identification model to obtain a case quick office identification result;

the evidence obtaining unit is used for obtaining evidence obtaining data corresponding to the current case delivery data if the case quick identification result is determined to be an allowable case quick identification result;

the summarizing and auditing unit is used for acquiring to-be-audited case data consisting of the current case delivery data and the evidence obtaining data and summarizing and auditing to obtain summarizing and auditing results;

the notice generation unit is used for acquiring document configuration data corresponding to the to-be-checked case data and generating notice data based on the to-be-checked case data and the document configuration data if the summarized checking result is determined to be a checking passing result;

And the notice sending unit is used for sending the notice data to the case quick terminal if the notice data is confirmed to pass the internal verification.

In a third aspect, an embodiment of the present application further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the case data fixing and processing method based on fast-office identification according to the first aspect when executing the computer program.

In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium stores a computer program, where the computer program when executed by a processor causes the processor to execute the case data fixing method based on fast transaction identification according to the first aspect.

The embodiment of the application provides a case data fixed certificate processing method, device and equipment based on quick-handling identification, wherein the method comprises the steps of obtaining case delivery data and storing the fixed certificate; when a target specific object is detected, adding corresponding historical personnel data to the case delivery data to obtain current case delivery data; acquiring a case quick recognition result; when the case quick-handling identification result is determined to be allowable, acquiring corresponding evidence obtaining data and current case delivery data for summarization and auditing to obtain a summarized audit result; and if the corresponding auditing result is determined, acquiring corresponding document configuration data to generate notice data with to-be-audited case data of the current case delivery data, and transmitting the notice data to the case quick-delivery terminal. The method has the advantages that the cases data are stored and identified quickly and the cases data are stored and identified quickly, when the identification conditions of quick handling are met, the evidence obtaining data acquisition, the data auditing and the document configuration are carried out on the case handling data quickly, the final notice data are obtained, the processing efficiency of the case handling data is improved, and the data security of the whole process is high.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is an application scenario schematic diagram of a case data fixed certificate processing method based on quick identification provided by an embodiment of the application;

fig. 2 is a flow chart of a case data fixing and verifying method based on quick identification according to an embodiment of the present application;

FIG. 3 is a schematic block diagram of a case data fixing and verifying device based on quick identification according to an embodiment of the present application;

fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.

Referring to fig. 1 and fig. 2, fig. 1 is a schematic diagram of an application scenario of a case data fixing and verifying method based on quick identification according to an embodiment of the present application; fig. 2 is a flow chart of a case data fixing and verifying method based on quick-office identification, which is provided by the embodiment of the application, and is applied to a server, and the method is executed by application software installed in the server.

As shown in fig. 2, the method includes steps S110-S170.

S110, responding to the data fixing instruction, acquiring corresponding case delivery data and performing fixing storage.

In this embodiment, a background server is used as an execution subject to describe a technical scheme, and the background server is a server deployed at an authority and has high confidentiality. The background server can receive case data which is acquired and uploaded by on-site duty personnel on the basis of a first type of user terminal used by the on-site duty personnel, wherein the case data comprises personnel information of a related object (such as a related object image), site information, related article information (such as a vehicle and the like), related certificate information, on-site photos and the like. After the on-site duty personnel acquire case data by using the first type user terminal and upload the case data to the background server, the background server performs fixed certificate storage on the case delivery data after the case delivery data is verified based on a preset delivery data verification strategy.

In one embodiment, step S110 includes:

acquiring first type terminal information of a first type user terminal corresponding to the data fixing instruction;

If the first type of terminal information is the recorded terminal information, acquiring case delivery data sent by the first type of user terminal;

verifying the case delivery data based on a preset delivery data verification strategy to obtain a delivery data verification result;

if the delivery data verification result is determined to be a verification passing result, an internal timestamp server associated with a background server is obtained, and an internal timestamp corresponding to the first type terminal information is obtained from the internal timestamp server;

and adding the internal time stamp to the case delivery data to update the case delivery data and fixedly storing the case delivery data.

In this embodiment, when receiving a data fixing instruction uploaded by any one user terminal, the background server does not directly obtain case delivery data uploaded by the user terminal, but needs to obtain first type terminal information of the user terminal, that is, first type terminal information, so as to perform white list verification on the user terminal. If the first type terminal information is the recorded terminal information, the first type user terminal is indicated to have the authority of accessing the background server and the authority of uploading the case delivery data, and the background server receives the case delivery data sent by the first type user terminal. When the background server receives the case delivery data, the background server can acquire an internal time stamp server associated with the case delivery data in order to increase the credibility of the case delivery data, the internal time stamp server issues an internal time stamp (which is a time stamp with extremely high credibility and unchangeable) to the case delivery data, and the internal time stamp is added to the case delivery data in the background server to update the case delivery data and store the case delivery data in a fixed manner. Therefore, based on the mode, the data security after the case transaction data storage can be effectively improved.

In addition, in order to further improve the data security in the background server, a trusted execution environment can be deployed in the background server, and when the internal timestamp is added to the case delivery data in the execution process so as to update the case delivery data and secure the storage, the updated case delivery data is stored in an isolated memory corresponding to the trusted execution environment. All case handling data processing and calculation are performed in the isolated memory, and other parts of the hardware except the authorized interface cannot access the information in the isolated memory.

S120, if a target specific object corresponding to the case delivery data is detected, acquiring personnel history data corresponding to the target specific object, and adding the history personnel data to the case delivery data to obtain current case delivery data.

In this embodiment, after the background server stores the case delivery data, the image capturing device that is communicatively connected to the background server and is disposed in the designated area (for example, the image capturing device is disposed at a service hall of an authority and is aligned to a transaction quick-handling area set in the service hall) may detect whether the image of the target specific object is captured. Because the previous case delivery data comprises the related object image, if the image acquisition device is detected to acquire the target specific object image of the same person corresponding to the related object image, acquiring a target object identification result corresponding to the target specific object, further acquiring personnel history data corresponding to the target object identification result, and adding the history personnel data corresponding to the target specific object to the case delivery data to obtain the current case delivery data. The current case delivery data of the target specific object is stored, so that the personnel history data of the target specific object is further increased, and the included information dimension is more diversified.

In one embodiment, step S120 further includes:

if the user face image uploaded by the image acquisition device is received and the setting area information of the image acquisition device is determined to meet the device setting area condition, acquiring a user identification result corresponding to the user face image based on a pre-trained face identification model;

and if the user identification result is the same as the personnel object corresponding to the case delivery data, taking the user information corresponding to the user identification result as the user information of the target specific object.

In this embodiment, still referring to the above example, the image capturing device is disposed at a service hall of an authority, and is aligned to a business quick-handling area set in the service hall, and when the image capturing device that satisfies the above condition of the setting area captures that a person has arrived in the business quick-handling area, the image of the face of the user of the corresponding person is captured and uploaded to the background server. And acquiring a user identification result corresponding to the user face image based on at least one face identification model stored in advance in a background server, and taking user information corresponding to the user identification result as user information of the target specific object after determining that the user identification result corresponds to the target specific object (namely, determining that the user identification result is the same as a personnel object corresponding to the case delivery data). At this time, the target specific object with the transaction rapid requirement reaches the transaction rapid-handling area in the authority service hall, and the related current case delivery data can be subjected to subsequent rapid-handling application and processing.

In an embodiment, the obtaining, based on the pre-trained face recognition model, a user recognition result corresponding to the user face image includes:

acquiring a plurality of face recognition models trained in advance, and acquiring a preset face feature data set corresponding to each face recognition model;

acquiring current face feature data corresponding to the face image of the user based on each face recognition model;

obtaining matching results of the current face feature data and each preset face feature data set to form a user candidate recognition result set;

and determining the user recognition result corresponding to the user face image based on the intersection of the user candidate recognition results in the user candidate recognition result set.

In this embodiment, in order to improve the accuracy of face recognition in the background server, a plurality of face recognition models may be preset, and face recognition of the object is completed by the plurality of face recognition models together. For example, the background server stores a face recognition model 1 (such as a FaceNet face recognition model) provided by a face recognition model manufacturer 1, a face recognition model 2 (such as an ArcFace recognition model) provided by a face recognition model manufacturer 2, and a face recognition model 3 (such as a VGGFace face recognition model) provided by a face recognition model manufacturer 3, and also stores a preset face feature data set 1 corresponding to the face recognition model 1, a preset face feature data set 2 corresponding to the face recognition model 2, and a preset face feature data set 3 corresponding to the face recognition model 3.

After the background server receives the user face image uploaded by the image acquisition device, the current face feature data corresponding to the user face image is respectively extracted based on the face recognition model 1, the face recognition model 2 and the face recognition model 3. Because the background server stores the preset face feature data set 1 corresponding to the face recognition model 1, the preset face feature data set 2 corresponding to the face recognition model 2 and the preset face feature data set 3 corresponding to the face recognition model 3, the matching result of the current face feature data and each preset face feature data set can be formed into a user candidate recognition result set.

When the matching result of the current face feature data and each preset face feature data set is obtained, a first user candidate recognition result subset of feature similarity topK (K is a positive integer greater than 0, such as k=5) between the preset face feature data set 1 and the current face feature data is obtained, a second user candidate recognition result subset of feature similarity topK between the preset face feature data set 2 and the current face feature data is obtained, and a third user candidate recognition result subset of feature similarity topK between the preset face feature data set 3 and the current face feature data is obtained; and then acquiring the same user candidate recognition results of the first user candidate recognition result subset to the third user candidate recognition result subset, namely the intersection of the three user candidate recognition result subsets, and determining the user recognition result corresponding to the user face image. Based on the mode, the face recognition result can be accurately obtained.

In one embodiment, the step S120 of obtaining the person history data corresponding to the target specific object includes:

acquiring an object node corresponding to the corresponding user information of the target specific object;

acquiring a prestored object complex network, acquiring associated nodes and associated communities corresponding to the object nodes based on a preset community detection algorithm, and taking node information corresponding to the associated nodes and community information corresponding to the associated communities as the personnel history data.

In this embodiment, association nodes and association communities corresponding to the target specific objects may be discovered by using a community detection method. In a complex network constructed based on a plurality of nodes, each node can be regarded as corresponding to a unique natural person, and a plurality of communities (which can be understood as a plurality of clustering clusters) can be included in the complex network, and overlapping nodes can be or cannot exist between every two communities. After the node object corresponding to the target specific object is obtained (i.e. the key information corresponding to the target specific object, such as the information of name, age, gender, etc., is extracted), the association node (the node having the same user information as the object node can be used as the association node) and the association community (the community to which the association node belongs) of the node corresponding to the target specific object in the complex network can be rapidly determined by the community detection algorithm (such as the community detection using the random block model), and then the node information corresponding to the association node and the community information corresponding to the association community are used as the personnel history data. Because the historical data of the target specific object is fully considered, the information dimension in the obtained current case delivery data is more diversified.

S130, identifying the current case delivery data based on a pre-trained quick-delivery identification model to obtain a case quick-delivery identification result.

In this embodiment, after the background server obtains the current case delivery data, the background server may perform classification and identification on the current case delivery data based on a local pre-trained quick-delivery identification model, so as to obtain a case quick-delivery identification result for identifying whether the case can be quickly delivered. Specifically, field information (such as case type field information, case importance level field information, etc.) specifying a plurality of fields in the current case delivery data may be extracted, so that the field information specifying the plurality of fields forms an input vector and is input to a quick-action recognition model (such as a convolutional neural network, etc.), and a case quick-action recognition result corresponding to the current case delivery data is obtained through the quick-action recognition model. If the case quick-handling identification result corresponding to the current case delivery data output by the quick-handling identification model is 1, the condition that the current case delivery data meets the quick-handling case is indicated (namely, the case quick-handling identification result is a case quick-handling identification result allowed), and the case can be processed in the follow-up flow of the quick-handling case; when the case quick-handling identification result corresponding to the current case delivery data output by the quick-handling identification model is 0, the condition that the current case delivery data meets the condition of not quick-handling cases (namely, the case quick-handling identification result is a case quick-handling identification result which is not allowed) is indicated, and whether the processing is performed in the flow of quick-handling cases can be judged again after the material data is supplemented. For example, when the quick recognition model is trained in advance, a historical case delivery data set is obtained first, and a quick recognition result is marked for each historical case delivery data in the historical case delivery data set (for example, a mark 1 indicates that the case quick recognition result corresponding to the historical case delivery data is a case quick recognition result allowed, and a mark 0 indicates that the case quick recognition result corresponding to the historical case delivery data is a case quick recognition result not allowed). After the historical case delivery data set and the corresponding labeling value thereof are obtained, the historical case delivery data set can be used as a training set to carry out model training on a to-be-trained quick recognition model (such as a convolutional neural network and the like) to obtain the quick recognition model. After the quick-handling identification model is obtained, case type field information (such as case type that no effective motor vehicle driver license drives motor vehicle type and the like) and case importance level field information (such as highest priority level, medium priority level, low priority level and the like) in the current case delivery data are correspondingly converted into numerical values based on a preset quantitative conversion strategy to form an input vector and are input into the quick-handling identification model, and a case quick-handling identification result corresponding to the current case delivery data is obtained through the quick-handling identification model. When case type field information in the current case delivery data is correspondingly converted into a numerical value based on a preset quantitative conversion strategy, no valid motor vehicle driving license drives the motor vehicle case type to be correspondingly valued 1, and other types to be correspondingly valued 0; when the case importance level field information in the current case delivery data is correspondingly converted into a numerical value based on a preset quantitative conversion strategy, the highest priority level corresponds to a value 2, the medium priority level corresponds to a value 1, and the low priority level corresponds to a value 0; for example, the case type field information in the current case delivery data corresponds to a value of 1, and the case importance level field information in the current case delivery data corresponds to a value of 2, so that an input vector is formed as [1,2]; the input vector is input to the quick recognition model, and a corresponding case quick recognition result (e.g., a value of 1 or 0) can be obtained.

And S140, if the case quick recognition result is determined to be the case quick recognition permission result, acquiring evidence obtaining data corresponding to the current case delivery data.

In this embodiment, if it is identified in the background server that the case quick-handling identification result corresponding to the current case delivery data is a case quick-handling identification result, a unique quick-handling case number and an electronic file are generated for the current case delivery data, and then the evidence obtaining data is prompted to be input by the target specific object in a manner of self-service operation or other person assisted operation of the case quick-handling terminal, so as to further perfect the current case delivery data.

The case quick-handling terminal is a self-service intelligent terminal arranged in a transaction quick-handling area of an authority and at least comprises a touch display screen, a fingerprint acquisition device, a camera, a sound acquisition device, an RFID card reader (used for reading certificate information such as a user identity card) and a hardware device such as an input keyboard. When the current case transaction data of the target specific object enters the case quick transaction flow and the target specific object is stated and evidence obtained before reaching the case quick transaction terminal, the case quick transaction terminal can be operated to input evidence obtaining data, so that complete case related data is supplemented.

In an embodiment, as a first embodiment of step S140, step S140 includes:

if an auxiliary evidence obtaining instruction sent by the case quick terminal is received, correspondingly obtaining assistant sponsor video data acquired by the case quick terminal;

and if the identification object in the assistant sponsor video data is detected and identified to comprise an assistant object and a target specific object, acquiring and storing the evidence obtaining data acquired by the case sponsor terminal.

In this embodiment, when the target specific object does not have a better terminal device operation basis and cannot autonomously enter evidence obtaining data in the whole process, the method is to assist a person object (such as an attended office in a business quick-handling area of an authority service hall) to assist the target specific object in selecting to perform auxiliary statement evidence obtaining on current case delivery data on a case quick-handling terminal, trigger to generate an auxiliary evidence obtaining instruction on the case quick-handling terminal and send the auxiliary evidence obtaining instruction to a background server, and then start video recording on the process of performing auxiliary statement evidence obtaining on the target specific object on the premise of user authorization consent by the case quick-handling terminal, so as to obtain auxiliary person-associated video data of the whole process. And if the background server identifies that the identification object in the assistant video data comprises an assistant object (the user information of the assistant object is recorded personnel information stored in the background server in advance) and a target specific object based on the face recognition model, the assistant server indicates that the assistant object is the target specific object and performs auxiliary statement evidence collection at the operation case quick terminal with the help of the assistant of the target specific object, and the assistant video data is verified by a user and can store the evidence collection data acquired by the case quick terminal. For example, the forensic data is stored in the same storage area as the current case delivery data.

More specifically, when the target specific object operates the case quick-handling terminal under the assistance of the assistant object, a user identity card (such as a resident identity card) carried by the target specific object and a user identity card (such as a work certificate card) of the assistant object are required to be placed at the RFID card reader, when the user identity information of the assistant object is successfully read out from the target specific object set and is consistent with the face recognition result of the assistant object and the user identity card, the assistant object assists the target specific object to select a self-book template to assist in filling in the scene, and case quick-handling right obligation informing information is displayed on the touch display screen, and evidence obtaining data is obtained after auxiliary statement evidence collection is completed. Therefore, based on the mode, the evidence obtaining data can be intelligently obtained and timely verified and stored.

In an embodiment, as a second embodiment of step S140, step S140 includes:

if a self-help evidence obtaining instruction sent by the case quick terminal is received, correspondingly obtaining self-help handling video data acquired by the case quick terminal;

and if the identification object in the self-service handling video data is detected and identified to comprise a target specific object, acquiring and storing the evidence obtaining data acquired by the case quick terminal.

In this embodiment, when the target specific object has a better terminal device operation basis and can autonomously input evidence obtaining data, and the target specific object selects to perform self-service statement evidence obtaining on the current case delivery data on the case quick-handling terminal, a self-service evidence obtaining instruction is triggered on the case quick-handling terminal and sent to the background server, and then the case quick-handling terminal starts to perform video recording on the self-service statement evidence obtaining process of the target specific object on the premise of user authorization consent, so as to obtain self-service handling video data of the whole process. And if the background server identifies that the identification object in the self-service handling video data comprises the target specific object based on the face recognition model, the background server indicates that the self-service handling video data is verified by a user and can store the evidence obtaining data acquired by the case quick terminal by self-service statement evidence obtaining of the person who is the target specific object at the operation case quick terminal. For example, the forensic data is stored in the same storage area as the current case delivery data.

More specifically, when the case quick service terminal is operated, the target specific object needs to place a user identity card (such as a resident identity card) at the RFID card reader, and when the user identity information is successfully read and is consistent with the face recognition result, the target specific object is guided to select a self-book template to fill in the scene, and the case quick service right obligation informing information is displayed on the touch display screen, so that evidence obtaining data is obtained after self-service statement evidence obtaining is completed. Therefore, based on the mode, the evidence obtaining data can be intelligently obtained and timely verified and stored.

And S150, acquiring to-be-checked case data consisting of the current case delivery data and the evidence obtaining data, and performing summarized checking to obtain summarized checking results.

In this embodiment, after the background server obtains the current case delivery data and the evidence obtaining data, the background server merges the current case delivery data and the evidence obtaining data to obtain the case data to be checked so as to perform the next fast case check. And combining the two to obtain the data of the case to be checked. The background server sends the case data to be checked to the user terminal of the auditor, and after the auditor uses the user terminal of the auditor to check and determine the auditing result (namely, one of the auditing passing result or the auditing failing result), the auditor determines whether to continue the current quick-service flow.

And S160, if the summarized auditing result is determined to be an auditing passing result, acquiring document configuration data corresponding to the to-be-audited case data, and generating notice data based on the to-be-audited case data and the document configuration data.

In this embodiment, when the background server obtains the summarized auditing result sent by the user terminal of the auditor and determines that the result is an auditing passing result, the data of the case to be audited is sent to the user terminal of the sponsor automatically distributed by the background server or sent to the user terminal of the sponsor selected by the user terminal of the auditor. After the sponsor user terminal receives the to-be-checked case data, checking the document configuration data such as the taken measure document, the processing result document and the like aiming at the to-be-checked case data, finally, sending the document configuration data to a background server by the sponsor user terminal, and generating notice data by the background server based on the to-be-checked case data and the document configuration data. And then the background server sends the notice data to the case quick terminal so as to allow the specific target object to view and sign in time.

In one embodiment, step S160 includes:

acquiring a preset notice generation strategy and a notice generation template, and correspondingly generating the notice data based on the notice generation strategy and the notice generation template by the to-be-checked case data and the document configuration data.

In this embodiment, a notification generation policy and a notification generation template are preset in a background server, for example, the notification generation policy is that, after the to-be-checked case data passes the checking and the notification data sent by the sponsor user terminal is received, the to-be-checked case data and the document configuration data can be filled into the notification generation template to obtain the notification data. The intelligent data processing and generating method has the advantages that the intelligent data processing and generating method is achieved, manual participation is not needed, and data processing efficiency is improved.

In an embodiment, step S150 further includes:

and if the summarized auditing result is determined to be an auditing failing result, generating first notification information for notifying the case of ending of the quick office.

In this embodiment, when the background server receives a result that the auditing sent by the user terminal of the auditor for the case data to be audited fails, it indicates that some data in the case data to be audited needs to be supplemented to meet the condition of fast case handling or the case data to be audited does not meet the condition of fast case handling, and at this time, the background server generates first notification information for prompting that the case of the specific object to be audited is finished, and sends the first notification information to the case fast handling terminal for displaying and checking. After the target specific object receives the first notification information, the on-site assistance of the assisting person object in the case quick-handling area can be sought, so that the case data to be checked is perfected, the case data to be checked is submitted again, and the checking of the case quick-handling flow is applied again. If the case quick process audit is not passed for three times or more for the case data to be checked of the same event of the target specific object, the case data to be checked cannot be processed through the case quick process, and the case data is converted into the case common processing process.

And S170, if the notice data is confirmed to pass the internal verification, the notice data is sent to a case quick terminal.

In this embodiment, after the background server generates the notification data corresponding to the target specific object, the notification data needs to be subjected to quick data audit based on a preset verification policy, if verification items such as blank information cannot be included, sensitive information of a sponsor cannot be included, and after the notification data is determined to pass the internal audit verification, the notification data can be sent to a case quick-handling terminal for viewing and on-site electronic signing of the target specific object.

In an embodiment, step S170 further includes:

acquiring operation process video and authentication signature data which are acquired by the case quick terminal and correspond to the target specific object;

and if the operation process video and the authentication signature data pass the data verification, correspondingly generating transaction success notification information and sending the transaction success notification information to the case quick terminal.

In this embodiment, after the target specific object obtains the notice data from the case quick service terminal to perform operations such as checking and signature confirmation, the case quick service terminal or the image acquisition device may record the video of the whole operation process and obtain the operation process video and the authentication signature data. The case quick-handling terminal sends the acquired operation process video and authentication signature data to a background server for user identity authentication and handwriting verification, and after the user identity authentication and handwriting verification pass, corresponding handling success notification information is generated and sent to the case quick-handling terminal for a specific target object to finally check and confirm signing, so that the case quick-handling process is ended.

The method realizes the fast fixed evidence storage and fast office identification of the case data, and when the fast office identification condition is met, the method rapidly performs evidence obtaining data acquisition, data auditing and document configuration on the case office data to obtain final notice data, so that the processing efficiency of the case office data is improved, and the data security of the whole process is higher.

The embodiment of the application also provides a case data fixed certificate processing device based on the quick-office identification, which is used for executing any embodiment of the case data fixed certificate processing method based on the quick-office identification. Specifically, referring to fig. 3, fig. 3 is a schematic block diagram of a case data fixing and verifying device 100 based on quick identification according to an embodiment of the present application.

As shown in fig. 3, the case data fixing and verifying device 100 based on the quick-action recognition includes a case delivery data storage unit 110, a specific object data acquisition unit 120, a quick-action recognition unit 130, a forensic data acquisition unit 140, a summary auditing unit 150, a notice generation unit 160, and a notice transmission unit 170.

The case delivery data storage unit 110 is configured to obtain corresponding case delivery data and store the data in a fixed manner in response to a data fixed-authentication instruction.

In one embodiment, the case delivery data storage unit 110 is specifically configured to:

The specific object data obtaining unit 120 is configured to, if a target specific object corresponding to the case delivery data is detected, obtain personnel history data corresponding to the target specific object, and add the historic personnel data to the case delivery data to obtain current case delivery data.

In one embodiment, the case data fixing and processing device 100 based on the quick office identification further includes:

the user identification result acquisition unit is used for acquiring a user identification result corresponding to the user face image based on a pre-trained face identification model if the user face image uploaded by the image acquisition device is received and the setting area information of the image acquisition device is determined to meet the device setting area condition;

and the user information confirming unit is used for taking the user information corresponding to the user identification result as the user information of the target specific object if the user identification result is determined to be the same as the personnel object corresponding to the case delivery data.

In an embodiment, the user identification result obtaining unit is specifically configured to:

In one embodiment, the specific object data obtaining unit 120 obtains the person history data corresponding to the target specific object, including:

And the quick-handling identification unit 130 is configured to identify the current case delivery data based on a pre-trained quick-handling identification model, so as to obtain a case quick-handling identification result.

And the evidence obtaining unit 140 is configured to obtain evidence obtaining data corresponding to the current case delivery data if it is determined that the case quick identification result is an allowable case quick identification result.

In an embodiment, as a first embodiment of the step-forensic data acquisition unit 140, the forensic data acquisition unit 140 is specifically configured to:

In an embodiment, as a second embodiment of the step-forensic data acquisition unit 140, the forensic data acquisition unit 140 is specifically configured to:

And the summarization auditing unit 150 is used for acquiring the to-be-audited case data consisting of the current case delivery data and the evidence obtaining data and summarizing and auditing to obtain a summarization auditing result.

And the notification generation unit 160 is configured to obtain document configuration data corresponding to the to-be-checked case data if the summarized and checked result is determined to be a checked passing result, and generate notification data based on the to-be-checked case data and the document configuration data.

In one embodiment, the notice generation unit 160 is specifically configured to:

and the first notification information generation unit is used for generating first notification information for notifying the case fast-office end if the summarized auditing result is determined to be an auditing failed result.

And the notice sending unit 170 is configured to send the notice data to the case quick service terminal if it is determined that the notice data passes the internal verification.

the process data acquisition unit is used for acquiring the operation process video and the authentication signature data which are acquired by the case quick terminal and correspond to the target specific object;

and the process data verification unit is used for correspondingly generating transaction success notification information and sending the transaction success notification information to the case quick terminal if the operation process video and the authentication signature data pass the data verification.

The device realizes the fast fixed evidence storage and fast office identification of the case data, and when the fast office identification condition is met, the fast evidence obtaining data acquisition, the data auditing and the document configuration are carried out on the case office data, so that the final notice data is obtained, the processing efficiency of the case office data is improved, and the data security of the whole process is higher.

The case data fixing processing apparatus based on the quick office identification described above may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 4.

Referring to fig. 4, fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 is a server, or a cluster of servers. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

Referring to fig. 4, the computer apparatus 500 includes a processor 502, a memory, and a network interface 505, which are connected by a device bus 501, wherein the memory may include a storage medium 503 and an internal memory 504.

The storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, may cause the processor 502 to perform a case data fixing method based on quick identification.

The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.

The internal memory 504 provides an environment for the execution of a computer program 5032 in the storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform a case data certification processing method based on quick-action recognition.

The network interface 505 is used for network communication, such as providing for transmission of data information, etc. It will be appreciated by those skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting of the computer device 500 to which the present inventive arrangements may be implemented, and that a particular computer device 500 may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

The processor 502 is configured to run a computer program 5032 stored in a memory, so as to implement the case data fixing and verifying processing method based on quick identification disclosed in the embodiment of the application.

Those skilled in the art will appreciate that the embodiment of the computer device shown in fig. 4 is not limiting of the specific construction of the computer device, and in other embodiments, the computer device may include more or less components than those shown, or certain components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may include only a memory and a processor, and in such embodiments, the structure and function of the memory and the processor are consistent with the embodiment shown in fig. 4, and will not be described again.

It should be appreciated that in an embodiment of the application, the processor 502 may be a central processing unit (Central Processing Unit, CPU), the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

In another embodiment of the application, a computer-readable storage medium is provided. The computer readable storage medium may be a nonvolatile computer readable storage medium or a volatile computer readable storage medium. The computer readable storage medium stores a computer program, wherein the computer program realizes the case data fixed certificate processing method based on quick identification disclosed by the embodiment of the application when being executed by a processor.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, device and unit described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein. Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of the units is merely a logical function division, there may be another division manner in actual implementation, or units having the same function may be integrated into one unit, for example, multiple units or components may be combined or may be integrated into another apparatus, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present application.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units may be stored in a storage medium if implemented in the form of software functional units and sold or used as stand-alone products. Based on such understanding, the technical solution of the present application may be essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a background server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes.

While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. A case data fixed certificate processing method based on quick office identification is characterized by comprising the following steps:

if the notice data is confirmed to pass the internal verification, the notice data is sent to a case quick terminal;

the responding to the data fixed certificate instruction, obtaining the corresponding case delivery data and carrying out fixed certificate storage comprises the following steps:

Adding the internal time stamp to the case delivery data to update the case delivery data and fixedly storing the case delivery data;

after the case transaction data fixed certificate is stored in the background server, an image acquisition device which is in communication connection with the background server and is arranged in a designated area detects whether an image of a target specific object is acquired, and if the image acquisition device is detected to acquire the image of the target specific object which corresponds to the same person as the image of the related object, a target object identification result corresponding to the target specific object is acquired, so that the background server acquires personnel history data corresponding to the target specific object based on the target object identification result.

2. The method of claim 1, further comprising, after the step of sending the notice data to the case host terminal if it is determined that the notice data passes the internal audit verification:

3. The method of claim 1, wherein before the step of obtaining the person history data corresponding to the target specific object if the target specific object corresponding to the case delivery data is detected, and adding the history person data to the case delivery data to obtain the current case delivery data, further comprising:

4. The method of claim 1, wherein the obtaining forensic data corresponding to the current case delivery data comprises:

5. The method of claim 1, wherein the obtaining forensic data corresponding to the current case delivery data comprises:

6. The method of claim 1, further comprising, after the step of obtaining the to-be-inspected case data consisting of the current case delivery data and the forensic data and performing a summary audit to obtain a summary audit result:

7. The method of claim 1, wherein the generating notification data based on the pending case data and the document configuration data comprises:

8. Case data solid certificate processing apparatus based on recognition of handling fast, characterized by comprising:

the notice sending unit is used for sending the notice data to the case quick terminal if the notice data is confirmed to pass the internal verification;

the case delivery data storage unit is used for:

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the case data fixing method based on fast office identification as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, which when executed by a processor causes the processor to perform the case data fixing processing method based on fast office identification according to any one of claims 1 to 7.