Information processing method, apparatus, device, medium, and program product

Abstract

This application discloses an information processing method, apparatus, device, medium, and program product. The method includes: upon detecting a user login prompt, creating a new dual-recording page; verifying the login information entered by the user on the dual-recording page; if the login information passes verification, recording a dual-recording video file; extracting business information from the dual-recording video file; comparing the business information with preset target business information; and if the business information includes the target business information, sending the dual-recording video file to an insurance agency system through a bank branch, so that the insurance agency system can conduct insurance business based on the dual-recording video file. This application embodiment can improve the recording efficiency of dual-recording video files and enhance customer experience.

Description

Technical Field

[0001] This application belongs to the field of signal processing technology, and in particular relates to an information processing method, apparatus, device, computer storage medium, and computer program product. Background Technology

[0002] Selling products is a common business for commercial banks. During the sales process, such as selling wealth management products or acting as an agent for insurance companies, regulatory requirements necessitate recording the entire sales process (audio and video recording) for archiving to ensure compliant sales and reduce customer complaint risks. This allows for easy access to the recorded documents for verification should disputes arise in the future.

[0003] Currently, in the process of selling insurance products on behalf of insurance companies, dual recording is often initiated manually. The audio and video files are then transferred from the bank branch to the insurance company via a storage device, and then manually reviewed. This method not only consumes a lot of time and manpower, but also, if the dual-recorded video fails the quality review due to incomplete business information fields or substandard video quality, the salesperson has to invite the customer to the branch for a re-recording, which is time-consuming and labor-intensive, seriously affecting the customer experience. Summary of the Invention

[0004] This application provides an information processing method, apparatus, device, computer storage medium, and computer program product that can improve the recording efficiency of dual-recording video files and enhance customer experience.

[0005] In a first aspect, embodiments of this application provide an information processing method, including:

[0006] Upon detecting a user login prompt, a new dual-recording page is created;

[0007] In response to the login information entered by the user on the dual-recording page, the login information is verified;

[0008] If the login information is verified, record a dual-recording video file.

[0009] Extract business information from dual-recorded video files;

[0010] Compare the business information with the preset target business information;

[0011] When the business information includes the target business information, the dual-recorded video file is sent to the insurance agent system through the bank branch so that the insurance agent system can conduct insurance business based on the dual-recorded video file.

[0012] In one optional implementation, the dual-recording video file includes a video file and an audio file, and the method further includes:

[0013] Extract video frames from a video file;

[0014] Calculate the resolution of video frames;

[0015] If the clarity of a video frame does not meet the preset clarity standard, a first prompt message is sent to the user device. The first prompt message is used to inform the user that the video quality is unacceptable.

[0016] In one alternative implementation, the method further includes:

[0017] The audio signal in the audio file is detected to obtain the audio signal detection result. The detection includes audio signal integrity detection and audio quality detection.

[0018] If the test results do not meet the preset conditions, a second prompt message is sent to the user's device. The second prompt message is used to inform the user that the audio quality is unqualified.

[0019] In one optional implementation, extracting service information from the dual-recorded video files includes:

[0020] Perform speech recognition on the audio file to obtain a speech recognition file;

[0021] Extract keywords from the speech recognition file to obtain the first set of keywords related to the business.

[0022] Keyword recognition is performed on video frames of video files;

[0023] If a video frame contains a second keyword related to the business, extract the second keyword to obtain a set of second keywords.

[0024] The first set of keywords and the second set of keywords are determined as business information.

[0025] In one optional implementation, the target business information includes multiple first target keywords related to audio files and multiple second target keywords related to video files.

[0026] The business information is compared with the preset target business information, including:

[0027] Search for each target keyword in the first keyword set;

[0028] Search for each second target keyword in the second keyword set;

[0029] If the first keyword set contains multiple first target keywords and the second keyword set contains multiple second target keywords, then the business information is determined to include target business information.

[0030] In one alternative implementation, the method further includes:

[0031] If the business information does not include the target business information, a third prompt message is sent to the user device. The third prompt message is used to prompt the user to re-record the dual-recording video file.

[0032] Secondly, embodiments of this application provide an information processing apparatus, including:

[0033] Create a new module to create a dual-recording page when a user login prompt is detected;

[0034] The verification module is used to verify the login information entered by the user on the dual-recording page.

[0035] The recording module is used to record a dual-recording video file when the login information passes verification.

[0036] The extraction module is used to extract business information from the dual-recording video files;

[0037] The comparison module is used to compare the business information with preset target business information;

[0038] The sending module is used to send the dual-recorded video file to the agent insurance system through a bank branch when the business information includes the target business information, so that the agent insurance system can conduct insurance business based on the dual-recorded video file.

[0039] Thirdly, embodiments of this application provide an electronic device, the device including: a processor and a memory storing computer program instructions;

[0040] When the processor executes computer program instructions, it implements an information processing method as described in any optional embodiment of the first aspect of this application.

[0041] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement an information processing method as described in any optional embodiment of the first aspect of this application.

[0042] Fifthly, embodiments of this application provide a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform an information processing method as described in any optional embodiment of the first aspect of this application.

[0043] The information processing method, apparatus, device, computer storage medium, and computer program product of this application embodiment can create a new dual-recording page upon detecting user login prompt information, and verify the login information entered by the user on the dual-recording page. If the verification is successful, a dual-recording video file is recorded. This automatically verifies user information and initiates dual-recording, thereby reducing labor costs. This application embodiment can also extract business information from the dual-recording video file and compare it with preset target business information. If the business information includes the target business information, the dual-recording video file is then sent to the insurance agency system through a bank branch for the insurance agency system to conduct insurance business based on the dual-recording video file. This allows for content quality inspection of the dual-recording video before sending it to the insurance agency system. This reduces labor and time costs and lowers the risk of substandard dual-recording video quality, thereby improving the recording efficiency of dual-recording video files and enhancing customer experience. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a schematic flowchart of information processing provided in one embodiment of this application;

[0046] Figure 2 This is a flowchart illustrating an information processing method provided in another embodiment of this application;

[0047] Figure 3 This is a schematic diagram of the structure of an information processing apparatus provided in another embodiment of this application;

[0048] Figure 4 This is a schematic diagram of the structure of an information processing device provided in another embodiment of this application. Detailed Implementation

[0049] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0050] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0051] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0052] Selling products is a common business for commercial banks. During the sales process, such as selling wealth management products or acting as an agent for insurance companies, regulatory requirements necessitate recording the entire sales process (audio and video recording) for archiving to ensure compliant sales and reduce customer complaint risks. This allows for easy access to the recorded documents for verification should disputes arise in the future.

[0053] Figure 1 This is a flowchart illustrating the information processing workflow in the process of an insurance company selling insurance products on behalf of another company, within a related technology context. (Example:) Figure 1 As shown, during the process of selling insurance products on behalf of an insurance company, after a customer logs into the system to prepare for dual recording, the dual recording operator needs to enter the dual recording page, confirm the customer's login information, and then record the dual recording video. After recording, the bank branch generates the dual recording file and associated data file, and the branch transmits the corresponding data to the insurance agency system at the end of the day. The insurance agency system processes the dual recording file at the end of the day and transmits it to the insurance company the next day. Since the bank only performs format conversion and other processing on the dual recording file, but does not preprocess the file content, the dual recording file still needs to be manually inspected after being transferred from the branch to the insurance company. This method not only consumes a lot of time and labor costs, but also, after the dual recording video is uploaded to the backend for manual quality inspection and review, if the quality inspection fails due to incomplete business information fields or unqualified video quality, the salesperson needs to invite the customer to the branch to re-record the dual recording, which is time-consuming and laborious, seriously affecting the customer experience.

[0054] In view of this, the inventors, after in-depth consideration, ingeniously designed an information processing method, apparatus, device, computer storage medium, and computer program product. This information processing method can improve the recording efficiency of dual-recording video files and enhance the customer experience.

[0055] The information processing method provided in this application embodiment will be described below with reference to the accompanying drawings and through specific embodiments and application scenarios. The information processing method provided in this application embodiment can be executed by an information processing device, or a portion of the information processing device used to execute the information processing method. This application embodiment uses the execution of the information processing method by an information processing device as an example to describe the information processing method provided in this application embodiment in detail.

[0056] The following is in conjunction with the appendix Figure 2 The information processing method provided in the embodiments of this application will be described in detail.

[0057] Figure 2 A flowchart illustrating an embodiment of the information processing method provided in this application is shown. Figure 2 As shown, the information processing method may specifically include the following steps S110 to S160.

[0058] S110: Upon detecting a user login prompt, a new dual-recording page is created.

[0059] S120 responds to the login information entered by the user on the dual-recording page and verifies the login information.

[0060] In step S120, the login information may include information related to the user and / or information related to the business. As an example, the login information may include user authentication information, business type information, login environment security information, etc.

[0061] S130 records dual-recording video files after the login information is verified.

[0062] S140, extract business information from dual-recorded video files.

[0063] In step S140, the business information may include information related to the business the user wants to handle, which may include, but is not limited to, user-facing information and business-facing information. As an example, the business information may include multiple business-related fields, such as transaction serial number, salesperson number, salesperson name, transaction institution number, transaction institution name, customer name, customer ID number, product name, product number, recording status of the dual-recording video, recording duration, recording date, dual-recording video file name, business file identifier (i.e., business file ID, through which the file is downloaded from the data warehouse), last edit time, and system time object used, etc.

[0064] S150 compares the business information with the preset target business information.

[0065] In step S150, the preset target business information can be pre-set information necessary to complete the business that the user wants to handle. As an example, the business information may include multiple fields necessary to complete the business that the user wants to handle.

[0066] S160, when the business information includes the target business information, sends the dual-recorded video file to the agent insurance system through the bank branch, so that the agent insurance system can conduct insurance business based on the dual-recorded video file.

[0067] The information processing method of this application embodiment can create a new dual-recording page upon detecting a user login prompt, and verify the login information entered by the user on the dual-recording page. If the verification is successful, a dual-recording video file is recorded. This automatically verifies user information and initiates dual-recording, thereby reducing manual costs. This application embodiment can also extract business information from the dual-recording video file and compare it with preset target business information. If the business information includes the target business information, the dual-recording video file is then sent to the insurance agency system through a bank branch for the insurance agency system to conduct insurance business based on the dual-recording video file. This allows for content quality checks on the dual-recording video before sending it to the insurance agency system. This reduces both manual and time costs, and lowers the risk of substandard dual-recording video quality, thereby improving recording efficiency and enhancing customer experience.

[0068] Furthermore, the embodiments of this application can also unify and integrate business data and file data at bank branches, shielding backend functional components and application business interfaces, thereby improving the reliability and accuracy of data transmission.

[0069] In one embodiment, the dual-recording video file may include a video file and an audio file, and the method may further include:

[0070] Extract video frames from a video file.

[0071] Calculate the resolution of video frames.

[0072] If the clarity of a video frame does not meet the preset clarity standard, a first prompt message is sent to the user device. The first prompt message is used to inform the user that the video quality is unacceptable.

[0073] The aforementioned sharpness calculation may include calculating the overall sharpness of video frames, which can be performed using image sharpness algorithms known in the art, and will not be elaborated here.

[0074] In this embodiment, the resolution can be calculated frame by frame in the video file, or a subset of video frames can be extracted for resolution calculation. The resolution of video frames can be calculated in real-time during dual-recording video recording, or it can be calculated after dual-recording video recording is complete. In one embodiment, video frames can be extracted from the video file and their resolution calculated during dual-recording video recording. If the resolution of a video frame does not meet a preset resolution standard, a first prompt message is sent to the user device.

[0075] In this embodiment, by detecting and extracting video frames from the video file and calculating their sharpness, the system alerts the user if the video frame's sharpness does not meet a preset standard. This allows for timely notification to the user's device when the image quality of a video file in a dual-recorded video file is substandard. This reminds the user to adjust the video capture equipment, reducing the risk of substandard dual-recorded video quality and thus improving recording efficiency and user experience.

[0076] In one embodiment, the method may further include:

[0077] The audio signal in the audio file is detected to obtain the audio signal detection result. The detection includes audio signal integrity detection and audio quality detection.

[0078] If the test results do not meet the preset conditions, a second prompt message is sent to the user's device. The second prompt message is used to inform the user that the audio quality is unqualified.

[0079] The integrity detection and audio quality detection of the aforementioned audio signals can be performed using audio quality detection methods known in the art, and are not limited thereto. As an example, audio signal integrity detection may include tone cut detection, frame drop detection, etc., and audio quality detection may include amplitude clipping detection, signal-to-noise ratio detection, etc.

[0080] In this embodiment, the entire audio signal in the audio file can be detected, or only a portion of the audio signal can be extracted for detection. Audio signal detection can be performed in real-time during dual-recording video recording, or it can be performed after dual-recording video recording is complete. In one embodiment, the audio signal can be extracted and detected during dual-recording video recording, and a second prompt message can be sent to the user device if the detection result does not meet preset conditions.

[0081] In this embodiment, by detecting the audio signal, if the detection result does not meet preset conditions, the user is notified that the audio file quality is substandard. This allows for timely notification to the user's device when the audio file quality in a dual-recorded video file is substandard. This reminds the user to adjust the audio acquisition device or re-enter the audio, reducing the risk of substandard dual-recorded video quality and thus improving recording efficiency and user experience.

[0082] In one embodiment, extracting business information from dual-recorded video files may specifically include:

[0083] Perform speech recognition on the audio file to obtain a speech recognition file.

[0084] Keyword extraction is performed on the speech recognition file to obtain the first set of keywords related to the business.

[0085] Keyword recognition is performed on video frames of video files.

[0086] If a video frame contains a second keyword related to the business, the second keyword is extracted to obtain a set of second keywords.

[0087] The first set of keywords and the second set of keywords are determined as business information.

[0088] The aforementioned speech recognition can be implemented using speech recognition methods known in the art, and will not be elaborated upon here. In one embodiment, noise reduction processing can be performed on the audio file before performing speech recognition. Keyword extraction from the speech recognition file may include searching for keywords related to the service the user wants to handle in the speech recognition file, and extracting the corresponding keywords if the speech recognition file includes keywords related to the service the user wants to handle.

[0089] Keyword recognition of video frames in a video file can include: searching the video file frame by frame, and extracting the corresponding keywords if the video frame contains keywords related to the service the user wants to handle.

[0090] The content of the first keyword and the second keyword mentioned above can be the same or different. In one embodiment, the first keyword and the second keyword in the first keyword set and the second keyword set can be related keywords. Keyword recognition of video frames in a video file can include: obtaining the time identifier of the first keyword corresponding to the second keyword, where the time identifier is the time period corresponding to the first keyword in the audio file; determining the target video frame in the video file corresponding to the time identifier; and performing keyword recognition on the target video frame. This reduces the workload of keyword recognition and improves the efficiency of content quality inspection for dual-recorded videos.

[0091] In this embodiment, keyword extraction and recognition are performed on both audio and video files to obtain business information. This allows for the verification of the completeness of business-related information in the dual-recorded video files, thereby reducing the risk of substandard dual-recorded video quality and improving recording efficiency and customer experience.

[0092] In one embodiment, the target business information may include a plurality of first target keywords related to audio files and a plurality of second target keywords related to video files.

[0093] The business information is compared with the preset target business information, which may specifically include:

[0094] Search for each of the first target keywords in the first keyword set.

[0095] Search for each second target keyword in the second keyword set.

[0096] If the first keyword set contains multiple first target keywords and the second keyword set contains multiple second target keywords, then the business information is determined to include target business information.

[0097] In this embodiment, when the business information includes all target business information, determining that the business information includes target business information is beneficial for verifying the completeness of business-related information in the dual-recording video file. This helps to further reduce the risk of substandard dual-recording video quality, thereby improving the recording efficiency of dual-recording video files and enhancing customer experience.

[0098] In one embodiment, the method may further include:

[0099] If the business information does not include the target business information, a third prompt message is sent to the user device. The third prompt message is used to prompt the user to re-record the dual-recording video file.

[0100] In this embodiment, even if the dual-recorded video file is incomplete, the user can be promptly prompted to re-record before the transaction is completed. This reduces the risk of sales staff having to bring customers to the branch for re-recording due to failed quality checks of the dual-recorded video file, thereby improving recording efficiency and enhancing customer experience.

[0101] In one embodiment, if the business information does not include the target business information, the missing business information can be determined based on the comparison between the business information and the target business information. A fourth prompt message is then sent to the user device to prompt the user to supplement the recording of the missing business information. This allows for supplementary recording only of the missing business information, thereby reducing user operation time and further improving the user experience.

[0102] Based on the same inventive concept, this application also provides an information processing device 200.

[0103] like Figure 3 As shown, the information processing device 200 may include a detection module 201, a verification module 202, a recording module 203, an extraction module 204, a comparison module 205, and a sending module 206.

[0104] The detection module 201 is used to create a new dual-recording page when a user login prompt message is detected.

[0105] The verification module 202 is used to verify the login information entered by the user on the dual-recording page.

[0106] The recording module 203 is used to record dual-record video files when the login information passes verification.

[0107] Extraction module 204 is used to extract business information from dual-recorded video files.

[0108] The comparison module 205 is used to compare business information with preset target business information.

[0109] The sending module 206 is used to send the dual-recorded video file to the agent insurance system through the bank branch when the business information includes the target business information, so that the agent insurance system can conduct insurance business based on the dual-recorded video file.

[0110] The information processing device in this embodiment can create a new dual-recording page upon detecting a user login prompt and verify the login information entered by the user on the dual-recording page. If the verification is successful, a dual-recording video file is recorded. This automatically verifies user information and initiates dual-recording, thereby reducing manual costs. This embodiment can also extract business information from the dual-recording video file and compare it with preset target business information. If the business information includes the target business information, the dual-recording video file is then sent to the insurance agency system through a bank branch for insurance business processing. This allows for content quality checks on the dual-recording video before sending it to the insurance agency system. This reduces both manual and time costs, and lowers the risk of substandard dual-recording video quality, thereby improving recording efficiency and enhancing customer experience.

[0111] In one embodiment, the dual-recording video file may include a video file and an audio file, and the information processing device may further include:

[0112] The extraction module is used to extract video frames from video files.

[0113] The calculation module is used to calculate the sharpness of video frames.

[0114] The sending module is used to send a first prompt message to the user device when the clarity of the video frame does not meet the preset clarity standard. The first prompt message is used to inform the user that the video quality is unqualified.

[0115] In one embodiment, the information processing apparatus may further include:

[0116] The detection module is used to detect the audio signals in the audio file and obtain the audio signal detection results. The detection includes audio signal integrity detection and audio quality detection.

[0117] The sending module is used to send a second prompt message to the user device when the detection result does not meet the preset conditions. The second prompt message is used to inform the user that the audio quality is unqualified.

[0118] In one embodiment, the extraction module is used to extract business information from the dual-recording video file, which may specifically include:

[0119] The recognition module is used to perform speech recognition on audio files to obtain speech recognition files.

[0120] The extraction module is used to extract keywords from speech recognition files to obtain a first set of keywords related to the business.

[0121] The recognition module is used to identify keywords in video frames of video files.

[0122] The extraction module is used to extract the second keyword when the video frame contains a second keyword related to the business, and obtain a set of the second keyword.

[0123] The determination module is used to determine the first set of keywords and the second set of keywords as business information.

[0124] In one embodiment, the target business information may include a plurality of first target keywords related to audio files and a plurality of second target keywords related to video files.

[0125] The comparison module is used to compare business information with preset target business information, and may specifically include:

[0126] The search module is used to search for each first target keyword in the first keyword set.

[0127] The search module is used to search for each second target keyword in the second keyword set.

[0128] The determination module is used to determine that the business information includes target business information when the first keyword set contains multiple first target keywords and the second keyword set contains multiple second target keywords.

[0129] In one embodiment, the information processing apparatus may further include:

[0130] The sending module is used to send a third prompt message to the user device when the business information does not include the target business information. The third prompt message is used to prompt the user to re-record the dual-recording video file.

[0131] The information processing device provided in this application embodiment can achieve... Figure 1 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0132] Figure 4 A schematic diagram of the hardware structure of the information processing device provided in an embodiment of this application is shown.

[0133] The information processing device may include a processor 301 and a memory 302 storing computer program instructions.

[0134] Specifically, the processor 301 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0135] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 302 is non-volatile solid-state memory.

[0136] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0137] The processor 301 implements any of the information processing methods described in the above embodiments by reading and executing computer program instructions stored in the memory 302.

[0138] In one example, the information processing device may further include a communication interface 303 and a bus 310. Wherein, for example... Figure 4 As shown, the processor 301, memory 302, and communication interface 303 are connected through bus 310 and complete communication with each other.

[0139] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0140] Bus 310 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0141] The information processing device can execute the information processing method in the embodiments of this application, thereby achieving the combination Figure 2 and Figure 3 The described information processing methods and apparatus.

[0142] Furthermore, in conjunction with the information processing methods in the above embodiments, this application embodiment can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the information processing methods in the above embodiments.

[0143] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0144] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0145] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0146] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0147] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. An information processing method, characterized in that, include: Upon detecting a user login prompt, a new dual-recording page is created; In response to the login information entered by the user on the dual-recording page, the login information is verified; If the login information passes verification, record a dual-recording video file. Extract the service information from the dual-recorded video files; The business information is compared with preset target business information, which is the information necessary to complete the business that the user wants to handle. When the business information includes the target business information, the dual-recorded video file is sent to the insurance agent system through the bank branch so that the insurance agent system can conduct insurance business based on the dual-recorded video file; The dual-recording video file includes a video file and an audio file; The extraction of service information from the dual-recording video file includes: Perform speech recognition on the audio file to obtain a speech recognition file; Keyword extraction is performed on the speech recognition file to obtain a first set of keywords related to the business. Keyword recognition is performed on the video frames of the video file; If the video frame includes a second keyword related to the business, the second keyword is extracted to obtain a set of second keywords. The first keyword set and the second keyword set are determined as the business information; The first keyword and the second keyword in the first keyword set and the second keyword set are related keywords; The keyword recognition of video frames in the video file includes: Obtain the time identifier of the first keyword corresponding to the second keyword, wherein the time identifier is the time period corresponding to the first keyword in the audio file; Identify the target video frame in the video file that corresponds to the time marker; Keyword recognition is performed on the target video frame.

2. The method according to claim 1, characterized in that, The method further includes: Extract the video frames from the video file; Calculate the resolution of the video frame; If the clarity of the video frame does not meet the preset clarity standard, a first prompt message is sent to the user device. The first prompt message is used to inform the user that the video quality is unqualified.

3. The method according to claim 2, characterized in that, The method further includes: The audio signal in the audio file is detected to obtain the audio signal detection result. The detection includes audio signal integrity detection and audio quality detection. If the detection result does not meet the preset conditions, a second prompt message is sent to the user device. The second prompt message is used to indicate to the user that the audio quality is unqualified.

4. The method according to claim 1, characterized in that, The target business information includes multiple first target keywords related to the audio file and multiple second target keywords related to the video file. The step of comparing the business information with preset target business information includes: Search for each of the first target keywords in the first keyword set; Search for each of the second target keywords in the second keyword set; If the first keyword set contains the plurality of first target keywords and the second keyword set contains the plurality of second target keywords, then the business information is determined to include the target business information.

5. The method according to claim 4, characterized in that, The method further includes: If the target service information is not included in the service information, a third prompt message is sent to the user device, which prompts the user to re-record the dual-recording video file.

6. An information processing device, characterized in that, include: Create a new module to create a dual-recording page when a user login prompt is detected; The verification module is used to verify the login information entered by the user on the dual-recording page. The recording module is used to record a dual-recording video file when the login information passes verification. The extraction module is used to extract business information from the dual-recording video files; The comparison module is used to compare the business information with preset target business information, which is the information necessary to complete the business that the user wants to handle; the dual-recorded video file includes a video file and an audio file; speech recognition is performed on the audio file to obtain a speech recognition file; keywords are extracted from the speech recognition file to obtain a first set of keywords related to the business; keywords are recognized on the video frames of the video file; if the video frames include a second keyword related to the business, the second keyword is extracted to obtain a second keyword set; the first keyword set and the second keyword set are determined as the business information; the first keyword and the second keyword in the first keyword set and the second keyword set are mutually related keywords; it is also used to obtain the time identifier of the first keyword corresponding to the second keyword, the time identifier being the time period corresponding to the first keyword in the audio file; determine the target video frame in the video file corresponding to the time identifier; and perform keyword recognition on the target video frame; The sending module is used to send the dual-recorded video file to the agent insurance system through a bank branch when the business information includes the target business information, so that the agent insurance system can conduct insurance business based on the dual-recorded video file.

7. An electronic device, characterized in that, The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the information processing method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the information processing method as described in any one of claims 1-5.

9. A computer program product, characterized in that, When the instructions in the computer program product are executed by the processor of the electronic device, the electronic device performs the information processing method as described in any one of claims 1-5.

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