CN112989307A - Service information processing method, device and terminal - Google Patents
Service information processing method, device and terminal Download PDFInfo
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- CN112989307A CN112989307A CN202110427218.5A CN202110427218A CN112989307A CN 112989307 A CN112989307 A CN 112989307A CN 202110427218 A CN202110427218 A CN 202110427218A CN 112989307 A CN112989307 A CN 112989307A
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
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- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
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Abstract
The application relates to a service information processing method, a device and a user terminal, belonging to the technical field of service information processing. The application includes: after receiving a service reporting request, judging whether a preset trigger rule is met, if so, acquiring service scene imaging information, acquiring face information of a service reporter, and performing verification operation on the face information, and if the verification is passed, configuring the acquired face information in the service scene imaging information, acquiring additional information, and configuring the additional information in the service scene imaging information; and sending the service scene imaging information configured with the face information and the additional information to a server so that the server processes according to the service scene imaging information configured with the face information and the additional information. The method and the device are beneficial to guaranteeing that the reported service information is real and reliable.
Description
Technical Field
The application belongs to the technical field of business information processing, and particularly relates to a business information processing method, a business information processing device and a terminal.
Background
In actual work, in order to ensure the authenticity of process operation, the service information in the process operation needs to be collected, wherein the counterfeiting behavior of the service information collection in the process needs to be solved as much as possible, the accuracy of processing places, processing persons and the like is ensured, particularly, in some application scenes, the requirement on the authenticity and the reliability of the service information is higher, for example, in various security inspection scenes, a specially-assigned person is required to inspect, and the on-site inspection information needs to be authentic, reliable and strict, but is necessary. Although some safeguard measures are provided in the related art, the safeguard measures are often embodied in the specification requirements, for example, uploading field safety inspection photos and the like through the specification requirements easily causes counterfeiting behaviors in the process operation, and for example, uploading the field safety inspection photos prepared in advance to help others, the collection of related business information is difficult to guarantee to be real and reliable.
Disclosure of Invention
Therefore, the method, the device and the terminal for processing the service information are provided, and the problem that the reality and the reliability of the acquisition of some service information in the related technology are difficult to guarantee is solved.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the application provides a service information processing method, which is applied to a service information processing terminal and comprises the following steps:
after receiving a service reporting request, judging whether a preset trigger rule is met, if so, acquiring service scene imaging information, acquiring face information of a service reporter, and performing verification operation on the face information, and if the verification is passed, configuring the acquired face information in the service scene imaging information, acquiring additional information, and configuring the additional information in the service scene imaging information;
and sending the service scene imaging information configured with the face information and the additional information to a server so that the server processes according to the service scene imaging information configured with the face information and the additional information.
Further, the triggering rule comprises at least one of:
a predetermined time point is reached;
randomly generated time points arrive;
a predetermined time period is reached;
and detecting a preset operation action in an appointed touch operation interface area of the service information processing terminal.
Further, wherein the performing a verification operation on the face information includes:
and executing at least one of face identity verification and face living body verification operation on the face information.
Further, wherein the obtaining the additional information comprises:
when the face information passes verification, acquiring the preset additional information; alternatively, the first and second electrodes may be,
when the face information passes the verification, determining and acquiring the corresponding additional information according to the service reporting request; alternatively, the first and second electrodes may be,
and when the face information passes the verification, determining and acquiring the additional information according to the service features in the service scene imaging information.
Further, the additional information includes: at least one of time information, location information, a service name, environment information, and attribute information of a user.
Further, before collecting the face information of the service reporter, the method further includes:
and when the service scene imaging information is acquired, performing service scene feature matching identification on the service scene imaging information according to a preset service scene feature matching strategy, and if the matching identification is successful, executing acquisition of the face information of the service reporter and executing verification operation on the face information.
Further, the service scenario feature matching policy includes:
judging whether the appointed scene characteristics in the service scene imaging information meet the corresponding preset requirements or not, and if so, successfully matching and identifying; and/or the presence of a gas in the gas,
and performing service scene feature matching identification on the service scene imaging information according to the service type carried in the service reporting request to determine whether the service scene imaging information has the service scene feature corresponding to the service type, and if so, successfully performing matching identification.
Further, before the service scene imaging information configured with the face information and the additional information is sent to the server, the method further includes:
processing the service scene imaging information configured with the face information and the additional information according to at least one of a file attribute and a service type of the service scene imaging information, wherein the file attribute of the service scene imaging information includes: the service scene imaging information is in a picture form, or the service scene imaging information is in a video form.
Further, if the service scene imaging information is in a video form, processing the service scene imaging information configured with the face information and the additional information according to at least one of a video compression processing strategy, a video acceleration processing strategy and a video segmentation processing strategy;
wherein the content of the first and second substances,
the video compression processing strategy comprises the following steps: compressing the service scene imaging information according to a preset compression requirement;
the video acceleration processing strategy comprises the following steps: when the video size of the service scene imaging information configured with the face information and the additional information exceeds a specified size and/or the video duration exceeds a specified duration, processing the service scene imaging information configured with the face information and the additional information according to a preset video acceleration requirement;
the video segmentation processing strategy comprises the following steps: when the video duration of the service scene imaging information configured with the face information and the additional information exceeds a preset duration, segmenting the service scene imaging information configured with the face information and the additional information into a preset number of video segments according to a preset segmentation strategy, and extracting video contents of a part of time segments in each video segment according to a preset extraction strategy.
Further, if the service scene imaging information is in a picture form, processing the service scene imaging information configured with the face information and the additional information according to at least one of a picture mosaic processing strategy, a picture whitening processing strategy and a picture cutting processing strategy;
wherein the content of the first and second substances,
the picture mosaic processing strategy comprises the following steps: identifying a face feature part in the service scene imaging information configured with the face information and the additional information, and performing mosaic processing on the face feature part;
the picture whitening treatment strategy comprises the following steps: performing whitening treatment on the service scene imaging information configured with the face information and the additional information;
the picture cropping processing strategy comprises the following steps: and identifying service features and non-service features according to the service scene imaging information, and removing the non-service features.
In a second aspect of the present invention,
the application provides a service information processing device, including:
the configuration module is used for judging whether a preset trigger rule is met or not after a service reporting request is received, if so, acquiring service scene imaging information, acquiring face information of a service reporter, performing verification operation on the face information, and if the verification is passed, configuring the acquired face information in the service scene imaging information, acquiring additional information, and configuring the additional information in the service scene imaging information;
and the sending module is used for sending the service scene imaging information configured with the face information and the additional information to a server so that the server processes according to the service scene imaging information configured with the face information and the additional information.
In a third aspect,
the application provides a service information processing terminal, including:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of any of the methods described above.
This application adopts above technical scheme, possesses following beneficial effect at least:
in the method, a service reporting request can be triggered and executed manually, after a service information processing terminal receives the service reporting request, the service information processing terminal is shifted to execute judgment whether a preset trigger rule is met, the acquisition of service scene imaging information is triggered by meeting the trigger rule, the face information of a service reporter is acquired, the face information is configured in the service scene imaging information and additional information is acquired only after the verification is passed, the additional information is configured in the service scene imaging information together, then the service scene imaging information configured with the face information and the additional information is sent to a server side for processing, on one hand, a user can be allowed to carry out service information reporting personally through the series of logic trigger operation limits, on the other hand, the authenticity of information acquisition can be ensured through the series of logic trigger operation limits, therefore, the reported service information is ensured to be real and reliable.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a method of business information processing in accordance with an exemplary embodiment;
FIG. 2 is a block diagram of a business information processing apparatus according to an exemplary embodiment;
fig. 3 is a block diagram illustrating a user terminal according to an example embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a service information processing method according to an exemplary embodiment, where as shown in fig. 1, the service information processing method is applied to a service information processing terminal, and the service information processing method includes the following steps:
step S101, after receiving a service reporting request, judging whether a preset trigger rule is met, if so, acquiring service scene imaging information, acquiring face information of a service reporter, and performing verification operation on the face information, and if the verification is passed, configuring the acquired face information in the service scene imaging information, acquiring additional information, and configuring the additional information in the service scene imaging information;
step S102, the service scene imaging information configured with the face information and the additional information is sent to a server, so that the server processes according to the service scene imaging information configured with the face information and the additional information.
The service information processing terminal to which the method of the present application is applied may be a smartphone terminal of the service reporter itself, and the following description will be given taking an example in which the method of the present application is applied to the smartphone terminal of the service reporter itself.
The method is embodied in the form of APP in practical application, the business reporter can register and log in an account in the APP in advance, and the registration information can include attribute information of the business reporter, such as units, positions, personnel names, telephones and the like. The service reporting request can be triggered and executed manually, the service reporting request is executed manually by a service reporting person, for example, a virtual key which correspondingly indicates execution of the service reporting request is clicked on an APP interface, after the service reporting request is received by a smart phone terminal, the intelligent terminal is shifted to execute judgment whether a preset trigger rule is met, the acquisition of service scene imaging information (which can be video or picture) and the acquisition of face information of the service reporting person are triggered by meeting the trigger rule, wherein the service scene imaging information can be acquired by a rear camera of the smart phone terminal, the face information can be acquired by a front camera of the smart phone terminal, in practical application, after the service scene imaging information is acquired by the smart phone terminal through the rear camera, the face information of a user is acquired by triggering and starting the front camera through the acquisition of the service scene imaging information, and the collected face information is verified, in practical application, at least one of face identity verification and face living body verification can be performed on the face information to ensure that a real user operates. The face information is verified by the smart phone terminal, or the face information is sent to the server by the smart phone terminal, and the server verifies the face information and then feeds back the face information to the smart phone terminal of the service reporter.
After the face information passes the verification, the following two operations are executed, namely, configuring the collected face information in the service scene imaging information, and acquiring additional information and configuring the additional information in the service scene imaging information.
For additional information, it may include: at least one of time information, positioning information, a service name, environment information and attribute information of a user, wherein the positioning information can be geographical position information such as a current positioning address, longitude and latitude, a street and the like, and specific positioning data can be acquired through a positioning function of the smart phone terminal; the time information can be the current time, and the accurate time can be obtained through the current time of the smart phone terminal or the remote service time; the attribute information of the user can comprise the unit, position, personnel name, telephone and the like of the service reporter, the service reporter can manually input own information in real time, and the intelligent mobile phone terminal can also acquire the information of the personnel registered in advance; the business name can be safety inspection, express delivery, takeout and the like, and the current business name is set according to the current application scene; the environmental information may include weather information, noise information, air pollution information, and the like.
For the specific position of configuring the face information and the additional information into the service scene imaging information, the face information and the additional information can be configured in the program background in advance, for example, the acquired service scene imaging information is a video, the face information of the user can be configured at the upper right corner of a video picture, and various additional information (such as time information, positioning information and the like) is configured at the bottom of the video picture.
After the face information and the additional information are configured to the service scene imaging information, the user can set that the service scene imaging information configured with the face information and the additional information is sent to the server side for processing by selecting, or the program automatically executes the service scene imaging information configured with the face information and the additional information to be sent to the server side for processing, and the server side can have the following processing: the identity of the person taking the picture is verified through face comparison, and whether the operation time is operated within the specified time is judged (for example, whether self-checking is finished within the specified time, and whether express delivery, takeaway and the like are sent to a client at the specified time is judged).
In summary, according to the steps of the method, on one hand, the series of logic trigger operation limitations help to restrict a user to perform service information reporting in person, and on the other hand, the series of logic trigger operation limitations can better guarantee the authenticity of information acquisition, thereby helping to guarantee the reported service information to be true and reliable.
The following description will be made in detail with reference to some embodiments for the trigger rule.
Further, the triggering rule comprises at least one of:
a predetermined time point is reached;
randomly generated time points arrive;
a predetermined time period is reached;
and detecting a preset operation action in an appointed touch operation interface area of the service information processing terminal.
Specifically, the three triggering rules can be set in advance, automatically executed by the service information processing terminal, and automatically executed by the service information processing terminal to ensure the authenticity of service information reporting. In the triggering rule, the predetermined time point is reached, and in the triggering rule, the predetermined time point may be one, or two or more, such as 9 am and 14 pm preset. The randomly generated time point arrives, the triggering rule has no fixed time, the triggering rule is established at the moment of randomly generating the time point, the authenticity of service information reporting is restrained and guaranteed, in practical application, the triggering rule realizes the random reporting of information under certain application scenes with high real-time online requirements, and the real-time online service reporting is guaranteed. If the preset time period is reached, for example, every three hours is taken as a time period, so that the triggering rule is established, and the method is also beneficial to restricting and guaranteeing the authenticity of service information reporting.
The method comprises the steps that a preset operation action is detected in a designated touch operation interface area of a business information processing terminal, a business reporter is required to operate to trigger execution according to a trigger rule, if a back camera is started when the business information processing terminal receives a business reporting request, a shooting operation interface is displayed on a touch display screen of the business information processing terminal, and the business information processing terminal can detect whether a specific virtual button on the shooting operation interface has the preset operation action or not to judge whether the trigger rule is met or not. The business reporter can click a specific virtual button on the shooting operation interface to trigger the triggering rule, and then the following logic steps are executed: the user terminal collects the service scene imaging information (which can be a video or a picture) through the rear camera, then skips to start the front camera to collect the face information of the user, and carries out verification operation on the collected face information. The face information is verified, the user terminal can verify the face information, or the user terminal sends the face information to the server, the server verifies the face information and verifies the face information, and then the face information is fed back to the user terminal. After the face information passes the verification, the following two operations are executed, namely, configuring the collected face information in the service scene imaging information, and acquiring additional information and configuring the additional information in the service scene imaging information.
The following is a detailed description of some embodiments for acquiring additional information.
In one embodiment, the obtaining of the additional information may be obtaining the additional information set in advance when the face information passes verification. Specifically, the embodiment may be applied to a single application scenario, only one application scenario additional information, or may be applied to a plurality of application scenarios in which the application scenario additional information is the same, and the additional information may be set in advance, for example, the additional information is set in advance as time information and positioning information. And then, when the face information passes verification, the preset additional information is directly acquired.
In an embodiment, the obtaining of the additional information may be determining and obtaining the corresponding additional information according to the service reporting request when the face information passes verification. Specifically, the embodiment is applied to a case where the service reporting request carries a service type, and additional information corresponding to various service types may be configured in the background program in advance, and in this case, when the face information passes the verification, the service type may be resolved according to the service reporting request triggered by the user, and then the additional information corresponding to the service reporting request triggered by the user may be obtained according to the additional information corresponding to various service types configured in the background program in advance.
In one embodiment, the obtaining of the additional information may be determining and obtaining the additional information according to a service feature in the service scene imaging information when the face information passes the verification. Specifically, in this embodiment, when the face information is verified, the service characteristics in the service scene imaging information are further analyzed, and if the service characteristics of the tower crane are included in the analyzed service scene imaging information, it can be inferred that the tower crane operation inspection service is performed, so that additional information of the tower crane operation inspection service can be determined, for example, weather information and the like are determined.
In one embodiment, the method further comprises:
further, before collecting the face information of the service reporter, the method further includes:
and when the service scene imaging information is acquired, performing service scene feature matching identification on the service scene imaging information according to a preset service scene feature matching strategy, and if the matching identification is successful, executing acquisition of the face information of the service reporter and executing verification operation on the face information.
Specifically, the scheme can ensure the effectiveness and reliability of the acquisition of the imaging information of the service scene, avoid the situation that the imaging information of the service scene which does not meet the requirements (such as fuzzy service scene characteristics are acquired) is also used, when the imaging information of the service scene which does not meet the requirements is used, the imaging information of the service scene which does not meet the requirements is configured with the face information and the additional information, the configuration result is likely to be invalid because the imaging information of the service scene which does not meet the requirements is judged to be useless, and the subsequent processing steps of face acquisition and the like are equivalent to useless work.
In one embodiment, the service scenario feature matching policy includes:
and judging whether the appointed scene characteristics in the service scene imaging information meet the corresponding preset requirements or not, and if so, successfully identifying the matching.
The preset service feature matching policy may randomly require that a certain scene feature in the acquired service scene imaging information satisfies a certain specified requirement, for example, a certain scene feature is required to be presented at a certain angle in the service scene imaging information, or for example, a certain scene feature is required to be presented only in a part (for example, an upper half part and a lower half part) in the service scene imaging information. And when the specified requirements are met, the matching identification is successful, then the subsequent front-facing camera is allowed to be started to collect the face information of the user, and the verification operation is executed on the face information.
In one embodiment, the service scenario feature matching policy includes:
and performing service scene feature matching identification on the service scene imaging information according to the service type carried in the service reporting request to determine whether the service scene imaging information has the service scene feature corresponding to the service type, and if so, successfully performing matching identification.
Specifically, the preset service scene feature matching strategy is to perform service scene feature matching identification on the service scene imaging information according to the service type carried in the service reporting request to determine whether the service scene feature corresponding to the service type exists in the acquired service scene imaging information, so that the service scene imaging information can be prevented from being reported by mistake.
In one embodiment, before sending the business scene imaging information configured with the face information and the additional information to the server, the method further comprises:
processing the service scene imaging information configured with the face information and the additional information according to at least one of a file attribute and a service type of the service scene imaging information, wherein the file attribute of the service scene imaging information includes: the service scene imaging information is in a picture form, or the service scene imaging information is in a video form.
By the scheme, the optimization processing of the service scene imaging information configured with the face information and the additional information can be realized, and the scheme is further explained in the following.
In one embodiment, if the service scene imaging information is in a video form, the service scene imaging information configured with the face information and the additional information is processed according to at least one of a video compression processing strategy, a video acceleration processing strategy and a video segmentation processing strategy;
wherein the content of the first and second substances,
the video compression processing strategy comprises the following steps: and compressing the service scene imaging information according to a preset compression requirement. The method can reduce the resolution and the number of frames per second for compression, reduce the size of the imaging information of the service scene and improve the uploading speed of the imaging information of the service scene.
The video acceleration processing strategy comprises the following steps: and when the video size of the service scene imaging information configured with the face information and the additional information exceeds a specified size and/or the video duration exceeds a specified duration, processing the service scene imaging information configured with the face information and the additional information according to a preset video acceleration requirement. For example, the original size of an 8s video is 16M, and the original size is changed into 2M after acceleration, so that the size of the video is reduced, and the uploading speed is increased.
The video segmentation processing strategy comprises the following steps: when the video duration of the service scene imaging information configured with the face information and the additional information exceeds a preset duration, segmenting the service scene imaging information configured with the face information and the additional information into a preset number of video segments according to a preset segmentation strategy, and extracting video contents of a part of time segments in each video segment according to a preset extraction strategy. For example, the 60s service scene imaging information can be divided into three segments, the duration of each segment is 60/3 =20s, each video segment can be a video with 10s randomly extracted, or a video with 10s fixedly extracted in the middle, so that the authenticity is verified by verifying the duration of 10s in the 3 segments of videos, the size of the uploaded video is reduced, the uploading speed is increased, meanwhile, the detection time of subsequent inspectors can be reduced, and the working efficiency is more effectively improved.
In one embodiment, if the service scene imaging information is in the form of a picture, processing the service scene imaging information configured with the face information and the additional information according to at least one of a picture mosaic processing policy, a picture whitening processing policy, and a picture clipping processing policy;
wherein the content of the first and second substances,
the picture mosaic processing strategy comprises the following steps: and identifying a face feature part in the service scene imaging information configured with the face information and the additional information, and performing mosaic processing on the face feature part. The service scene imaging information mosaic is a face information part, and is beneficial to ensuring the privacy of an operator.
The picture whitening treatment strategy comprises the following steps: and whitening the service scene imaging information configured with the face information and the additional information. The whitening of the imaging information of the service scene can increase the experience of operators, and the whitening photos are displayed on the operators, so that the enthusiasm of the operators on the operation is improved.
The picture cropping processing strategy comprises the following steps: and identifying service features and non-service features according to the service scene imaging information, and removing the non-service features. The picture cutting is to ensure the storage of the effective part of the picture and reduce the display of useless information of the picture.
Referring to fig. 2, fig. 2 is a block diagram schematically illustrating a service information processing apparatus according to an exemplary embodiment, and as shown in fig. 2, the service information processing apparatus 2 includes:
the configuration module 201 is configured to, after receiving a service reporting request, determine whether a preset trigger rule is satisfied, if so, acquire service scene imaging information, acquire face information of a service reporter, and perform a verification operation on the face information, and if the verification is passed, configure the acquired face information in the service scene imaging information, and acquire additional information, and configure the additional information in the service scene imaging information together;
a sending module 202, configured to send the service scene imaging information configured with the face information and the additional information to a server, so that the server performs processing according to the service scene imaging information configured with the face information and the additional information.
Further, the triggering rule comprises at least one of:
a predetermined time point is reached;
randomly generated time points arrive;
a predetermined time period is reached;
and detecting a preset operation action in an appointed touch operation interface area of the service information processing terminal.
Further, wherein the performing a verification operation on the face information includes:
and executing at least one of face identity verification and face living body verification operation on the face information.
Further, wherein the obtaining the additional information comprises:
when the face information passes verification, acquiring the preset additional information; alternatively, the first and second electrodes may be,
when the face information passes the verification, determining and acquiring the corresponding additional information according to the service reporting request; alternatively, the first and second electrodes may be,
and when the face information passes the verification, determining and acquiring the additional information according to the service features in the service scene imaging information.
Further, the additional information includes: at least one of time information, location information, a service name, environment information, and attribute information of a user.
Further, before the face information of the service reporter is collected, the configuration module 201 is further configured to:
and when the service scene imaging information is acquired, performing service scene feature matching identification on the service scene imaging information according to a preset service scene feature matching strategy, and if the matching identification is successful, executing acquisition of the face information of the service reporter and executing verification operation on the face information.
Further, the service scenario feature matching policy includes:
judging whether the appointed scene characteristics in the service scene imaging information meet the corresponding preset requirements or not, and if so, successfully matching and identifying; and/or the presence of a gas in the gas,
and performing service scene feature matching identification on the service scene imaging information according to the service type carried in the service reporting request to determine whether the service scene imaging information has the service scene feature corresponding to the service type, and if so, successfully performing matching identification.
Further, before the service scene imaging information configured with the face information and the additional information is sent to the server, the configuration module 201 is further configured to:
processing the service scene imaging information configured with the face information and the additional information according to at least one of a file attribute and a service type of the service scene imaging information, wherein the file attribute of the service scene imaging information includes: the service scene imaging information is in a picture form, or the service scene imaging information is in a video form.
Further, if the service scene imaging information is in a video form, processing the service scene imaging information configured with the face information and the additional information according to at least one of a video compression processing strategy, a video acceleration processing strategy and a video segmentation processing strategy;
wherein the content of the first and second substances,
the video compression processing strategy comprises the following steps: compressing the service scene imaging information according to a preset compression requirement;
the video acceleration processing strategy comprises the following steps: when the video size of the service scene imaging information configured with the face information and the additional information exceeds a specified size and/or the video duration exceeds a specified duration, processing the service scene imaging information configured with the face information and the additional information according to a preset video acceleration requirement;
the video segmentation processing strategy comprises the following steps: when the video duration of the service scene imaging information configured with the face information and the additional information exceeds a preset duration, segmenting the service scene imaging information configured with the face information and the additional information into a preset number of video segments according to a preset segmentation strategy, and extracting video contents of a part of time segments in each video segment according to a preset extraction strategy.
Further, if the service scene imaging information is in a picture form, processing the service scene imaging information configured with the face information and the additional information according to at least one of a picture mosaic processing strategy, a picture whitening processing strategy and a picture cutting processing strategy;
wherein the content of the first and second substances,
the picture mosaic processing strategy comprises the following steps: identifying a face feature part in the service scene imaging information configured with the face information and the additional information, and performing mosaic processing on the face feature part;
the picture whitening treatment strategy comprises the following steps: performing whitening treatment on the service scene imaging information configured with the face information and the additional information;
the picture cropping processing strategy comprises the following steps: and identifying service features and non-service features according to the service scene imaging information, and removing the non-service features.
With regard to the service information processing apparatus 2 in the above embodiment, the specific manner of each module thereof has been described in detail in the embodiment related to the method, and will not be elaborated here.
Referring to fig. 3, fig. 3 is a block diagram illustrating a service information processing terminal according to an exemplary embodiment, and as shown in fig. 3, the service information processing terminal 3 includes:
one or more memories 301 having executable programs stored thereon;
one or more processors 302 for executing the executable programs in the memory 301 to implement the steps of any of the methods described above.
In practical applications, the service information processing terminal 3 may be an intelligent terminal device such as a smart phone of a user.
With regard to the service information processing terminal 3 in the above-described embodiment, the specific manner in which the processor 302 thereof executes the program in the memory 301 has been described in detail in the embodiment related to the method, and will not be described in detail here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations 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 embodiments of the present application.
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. For example, 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.
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 do not necessarily 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.
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 (12)
1. A service information processing method is applied to a service information processing terminal, and the method comprises the following steps:
after receiving a service reporting request, judging whether a preset trigger rule is met, if so, acquiring service scene imaging information, acquiring face information of a service reporter, and performing verification operation on the face information, and if the verification is passed, configuring the acquired face information in the service scene imaging information, acquiring additional information, and configuring the additional information in the service scene imaging information;
and sending the service scene imaging information configured with the face information and the additional information to a server so that the server processes according to the service scene imaging information configured with the face information and the additional information.
2. The method of claim 1, wherein the triggering rule comprises at least one of:
a predetermined time point is reached;
randomly generated time points arrive;
a predetermined time period is reached;
and detecting a preset operation action in an appointed touch operation interface area of the service information processing terminal.
3. The method of claim 1, wherein the performing a verification operation on the face information comprises:
and executing at least one of face identity verification and face living body verification operation on the face information.
4. The method of claim 1, wherein obtaining the additional information comprises:
when the face information passes verification, acquiring the preset additional information; alternatively, the first and second electrodes may be,
when the face information passes the verification, determining and acquiring the corresponding additional information according to the service reporting request; alternatively, the first and second electrodes may be,
and when the face information passes the verification, determining and acquiring the additional information according to the service features in the service scene imaging information.
5. The method of claim 1 or 4, wherein the additional information comprises: at least one of time information, location information, a service name, environment information, and attribute information of a user.
6. The method of claim 1, wherein prior to collecting the facial information of a business reporter, the method further comprises:
and when the service scene imaging information is acquired, performing service scene feature matching identification on the service scene imaging information according to a preset service scene feature matching strategy, and if the matching identification is successful, executing acquisition of the face information of the service reporter and executing verification operation on the face information.
7. The method of claim 6, wherein the service scenario feature matching policy comprises:
judging whether the appointed scene characteristics in the service scene imaging information meet the corresponding preset requirements or not, and if so, successfully matching and identifying; and/or the presence of a gas in the gas,
and performing service scene feature matching identification on the service scene imaging information according to the service type carried in the service reporting request to determine whether the service scene imaging information has the service scene feature corresponding to the service type, and if so, successfully performing matching identification.
8. The method of claim 1, wherein before sending the business scene imaging information configured with the face information and the additional information to the server, the method further comprises:
processing the service scene imaging information configured with the face information and the additional information according to at least one of a file attribute and a service type of the service scene imaging information, wherein the file attribute of the service scene imaging information includes: the service scene imaging information is in a picture form, or the service scene imaging information is in a video form.
9. The method of claim 8, wherein,
if the service scene imaging information is in a video form, processing the service scene imaging information configured with the face information and the additional information according to at least one of a video compression processing strategy, a video acceleration processing strategy and a video segmentation processing strategy;
wherein the content of the first and second substances,
the video compression processing strategy comprises the following steps: compressing the service scene imaging information according to a preset compression requirement;
the video acceleration processing strategy comprises the following steps: when the video size of the service scene imaging information configured with the face information and the additional information exceeds a specified size and/or the video duration exceeds a specified duration, processing the service scene imaging information configured with the face information and the additional information according to a preset video acceleration requirement;
the video segmentation processing strategy comprises the following steps: when the video duration of the service scene imaging information configured with the face information and the additional information exceeds a preset duration, segmenting the service scene imaging information configured with the face information and the additional information into a preset number of video segments according to a preset segmentation strategy, and extracting video contents of a part of time segments in each video segment according to a preset extraction strategy.
10. The method of claim 8,
if the service scene imaging information is in a picture form, processing the service scene imaging information configured with the face information and the additional information according to at least one of a picture mosaic processing strategy, a picture whitening processing strategy and a picture cutting processing strategy;
wherein the content of the first and second substances,
the picture mosaic processing strategy comprises the following steps: identifying a face feature part in the service scene imaging information configured with the face information and the additional information, and performing mosaic processing on the face feature part;
the picture whitening treatment strategy comprises the following steps: performing whitening treatment on the service scene imaging information configured with the face information and the additional information;
the picture cropping processing strategy comprises the following steps: and identifying service features and non-service features according to the service scene imaging information, and removing the non-service features.
11. A service information processing apparatus, comprising:
the configuration module is used for judging whether a preset trigger rule is met or not after a service reporting request is received, if so, acquiring service scene imaging information, acquiring face information of a service reporter, performing verification operation on the face information, and if the verification is passed, configuring the acquired face information in the service scene imaging information, acquiring additional information, and configuring the additional information in the service scene imaging information;
and the sending module is used for sending the service scene imaging information configured with the face information and the additional information to a server so that the server processes according to the service scene imaging information configured with the face information and the additional information.
12. A service information processing terminal, comprising:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of the method of any one of claims 1-10.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113326710A (en) * | 2021-06-24 | 2021-08-31 | 北京金和网络股份有限公司 | Information identification method and device based on NFC and terminal |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106492461A (en) * | 2016-09-13 | 2017-03-15 | 广东小天才科技有限公司 | A kind of implementation method of augmented reality AR game and device, user terminal |
| US20180068202A1 (en) * | 2015-06-24 | 2018-03-08 | Microsoft Technology Licensing, Llc | Real-Time, Model-Based Object Detection and Pose Estimation |
| CN108765778A (en) * | 2018-05-29 | 2018-11-06 | 禾麦科技开发（深圳）有限公司 | A kind of information processing method and its equipment, storage medium, electronic equipment |
| CN108989725A (en) * | 2018-08-17 | 2018-12-11 | 北京金和网络股份有限公司 | Ensure information authenticity method |
| CN109145834A (en) * | 2018-08-27 | 2019-01-04 | 河南丰泰光电科技有限公司 | A kind of fingerprint recognition neural network based and verification method |
| CN109636396A (en) * | 2018-11-09 | 2019-04-16 | 浙江口碑网络技术有限公司 | The processing method of business information, apparatus and system |
| CN109842611A (en) * | 2018-12-14 | 2019-06-04 | 平安科技（深圳）有限公司 | Auth method, device, computer equipment and storage medium |
| CN110189239A (en) * | 2019-05-30 | 2019-08-30 | 北京金和网络股份有限公司 | Five fixed online testing method and system |
| CN110717819A (en) * | 2019-09-02 | 2020-01-21 | 深圳壹账通智能科技有限公司 | Service processing method, system, computer device and storage medium |
| CN110751025A (en) * | 2019-09-06 | 2020-02-04 | 平安普惠企业管理有限公司 | Business handling method, device, equipment and medium based on face recognition |
| CN111274881A (en) * | 2020-01-10 | 2020-06-12 | 中国平安财产保险股份有限公司 | Driving safety monitoring method and device, computer equipment and storage medium |
| CN111737671A (en) * | 2020-05-06 | 2020-10-02 | 广东金赋科技股份有限公司 | Electronic certificate based business handling method, government self-service terminal and storage medium |
-
2021
- 2021-04-21 CN CN202110427218.5A patent/CN112989307B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180068202A1 (en) * | 2015-06-24 | 2018-03-08 | Microsoft Technology Licensing, Llc | Real-Time, Model-Based Object Detection and Pose Estimation |
| CN106492461A (en) * | 2016-09-13 | 2017-03-15 | 广东小天才科技有限公司 | A kind of implementation method of augmented reality AR game and device, user terminal |
| CN108765778A (en) * | 2018-05-29 | 2018-11-06 | 禾麦科技开发（深圳）有限公司 | A kind of information processing method and its equipment, storage medium, electronic equipment |
| CN108989725A (en) * | 2018-08-17 | 2018-12-11 | 北京金和网络股份有限公司 | Ensure information authenticity method |
| CN109145834A (en) * | 2018-08-27 | 2019-01-04 | 河南丰泰光电科技有限公司 | A kind of fingerprint recognition neural network based and verification method |
| CN109636396A (en) * | 2018-11-09 | 2019-04-16 | 浙江口碑网络技术有限公司 | The processing method of business information, apparatus and system |
| CN109842611A (en) * | 2018-12-14 | 2019-06-04 | 平安科技（深圳）有限公司 | Auth method, device, computer equipment and storage medium |
| CN110189239A (en) * | 2019-05-30 | 2019-08-30 | 北京金和网络股份有限公司 | Five fixed online testing method and system |
| CN110717819A (en) * | 2019-09-02 | 2020-01-21 | 深圳壹账通智能科技有限公司 | Service processing method, system, computer device and storage medium |
| CN110751025A (en) * | 2019-09-06 | 2020-02-04 | 平安普惠企业管理有限公司 | Business handling method, device, equipment and medium based on face recognition |
| CN111274881A (en) * | 2020-01-10 | 2020-06-12 | 中国平安财产保险股份有限公司 | Driving safety monitoring method and device, computer equipment and storage medium |
| CN111737671A (en) * | 2020-05-06 | 2020-10-02 | 广东金赋科技股份有限公司 | Electronic certificate based business handling method, government self-service terminal and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113326710A (en) * | 2021-06-24 | 2021-08-31 | 北京金和网络股份有限公司 | Information identification method and device based on NFC and terminal |
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| Publication number | Publication date |
|---|---|
| CN112989307B (en) | 2022-02-11 |
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