Information verification method, device and equipment and computer readable storage medium

Abstract

The invention provides an information verification method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-verified image in response to insurance reporting event information, the to-be-verified image comprising attribute information and identification information; based on an information processing model, performing analysis processing on the attribute information to obtain first image shooting information, and performing identification processing on the identification information to obtain second image shooting information; and determining the first image shooting information as an evidence image. The method and the device can be applied to the field of financial science and technology, the authenticity, the accuracy and the compliance of the shot image at the accident site are ensured by encrypting the related information when the accident site image is generated and decrypting the related information on the image receiving terminal, and whether the shot image is used as evidence is determined through the matching degree with the danger reporting event information, so that the safety is improved. And the insurance claim settlement accuracy of determining the accident site image as the claim settlement evidence by using the to-be-verified image when the second image shooting information meets the evidence obtaining condition corresponding to the insurance event information can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent decision-making, and in particular to an information verification method, apparatus, device, and computer-readable storage medium. Background Art

[0002] In the insurance field of financial technology, surveyors are required to go to the scene of the accident to collect evidence in order to ensure the integrity and compliance of the evidence. In related technologies, on-site investigation and evidence collection are generally carried out by using positioning equipment and evidence collection equipment on the survey vehicle driven to the scene by the surveyor. This method can reduce the risk of uploading false evidence. However, during certain peak accident periods or when the surveyor is not near the survey vehicle and cannot drive the vehicle in time, it is necessary to wait until there is an idle survey vehicle or go to the parking location of the survey vehicle before leaving for the scene. This will undoubtedly increase the waiting time for customers to report insurance. If the surveyor does not drive the survey vehicle, there will be a risk of falsified evidence, thereby reducing the accuracy of insurance claims. Summary of the Invention

[0003] The present application provides an information verification method, apparatus, device and computer-readable storage medium, which are intended to solve the related problems of requiring an inspection vehicle to assist in accident evidence collection and ensure the compliance and accuracy of the evidence.

[0004] In a first aspect, the present application provides an information verification method, the information verification method comprising the following steps:

[0005] In response to the insurance event information, obtaining an image to be verified, wherein the image to be verified includes attribute information and identification information;

[0006] An information parsing network based on a preset information processing model parses the attribute information to obtain first image shooting information of the image to be verified;

[0007] Based on the information recognition network of the information processing model, the identification information is recognized and processed to obtain second image shooting information of the image to be verified;

[0008] When it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information, the image to be verified is determined as an evidence image.

[0009] In a second aspect, the present application further provides an information verification device, comprising:

[0010] An image acquisition module, configured to acquire an image to be verified in response to the risk reporting event information, wherein the image to be verified includes attribute information and identification information;

[0011] a first information processing module, configured to parse the attribute information based on an information parsing network of a preset information processing model to obtain first image shooting information of the image to be verified;

[0012] a second information processing module, configured to perform identification processing on the identification information based on the information identification network of the information processing model to obtain second image shooting information of the image to be verified;

[0013] The verification module is used to determine the image to be verified as an evidence image when it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information.

[0014] In a third aspect, the present application also provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the information verification method as described above are implemented.

[0015] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of the information verification method as described above are implemented.

[0016] This application provides an information verification method, apparatus, device, and computer-readable storage medium. This application determines the first and second image capture information of an image to be verified based on its attribute information and identification information. Furthermore, based on the first and second image capture information, the application determines whether the image to be verified meets the evidence collection criteria corresponding to the insurance claim information. This method ensures the compliance of evidence without the assistance of a survey vehicle, thereby improving the accuracy of insurance claims. Furthermore, the insurance claim process is not affected by the use of the survey vehicle, shortening customer waiting time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 A flowchart of an information verification method provided in an embodiment of the present application;

[0019] Figure 2a A schematic diagram of an image to be verified provided in an embodiment of the present application;

[0020] Figure 2b A schematic diagram of an image to be verified provided in another embodiment of the present application;

[0021] Figure 3 A schematic block diagram of an information verification device provided in an embodiment of the present application;

[0022] Figure 4 This is a schematic block diagram of the structure of a computer device involved in one embodiment of the present application.

[0023] The realization of the objectives, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0025] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0026] Embodiments of the present application provide an information verification method, apparatus, computer device, and computer-readable storage medium. The information verification method can be applied to a terminal device, such as a tablet computer, laptop computer, desktop computer, or other electronic device. The information verification method can also be applied to a server, such as a cloud server or server cluster.

[0027] The following describes some embodiments of the present application in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0028] Please refer to Figure 1 , Figure 1 A flowchart of an information verification method provided in an embodiment of the present application.

[0029] like Figure 1 As shown, the information verification method includes steps S101 to S104.

[0030] Step S101: In response to the insurance event information, an image to be verified is obtained, where the image to be verified includes attribute information and identification information.

[0031] Exemplarily, upon receiving insurance report information, a corresponding image to be verified is obtained, where the image to be verified includes attribute information and identification information. The image to be verified is then verified using the attribute information and identification information to determine whether the image to be verified is a photo of the scene corresponding to the insurance report. In some embodiments, the image to be verified is obtained after a preset time has passed since the insurance report information was obtained. It should be understood that after receiving the insurance report information, the customer files an insurance report, at which point the surveyor will visit the scene to take photos and collect evidence. Therefore, there may be a period of time between the time the insurance report information is obtained and the time the image to be verified is obtained.

[0032] For example, surveyors use a target shooting device to shoot images on site. After shooting the images, the target shooting device generates attribute information and identification information of the images, and generates an image to be verified based on the attribute information and identification information.

[0033] Exemplarily, when the information verification method is applied to the target terminal or server, if the target shooting device can be communicatively connected with the target terminal, the target shooting device will send the image to be verified to the target terminal or server after generating the image to be verified; if the target shooting device is offline, the target shooting device will send the image to be verified to the target terminal or server through another terminal after generating the image to be verified; it should be understood that the target shooting device is a portable device to facilitate surveyors to go to the scene to take photos and collect evidence.

[0034] Step S102: Based on the information parsing network of the preset information processing model, the attribute information is parsed to obtain first image shooting information of the image to be verified.

[0035] Exemplarily, after obtaining the image to be verified, the image to be verified is input into the information processing model to analyze the image to be verified, so as to determine the authenticity and compliance of the image to be verified; specifically, in the information parsing network of the information processing model, the first image shooting information of the image to be verified is determined by parsing the attribute information, so as to determine the authenticity and compliance of the image to be verified through the first image shooting information.

[0036] In some embodiments, the attribute information includes ciphertext; the information parsing network based on a preset information processing model parses the attribute information to obtain the first image shooting information of the image to be verified, including: the information parsing network based on the preset information processing model uses a preset key to decrypt the ciphertext to obtain the first image shooting information.

[0037] Exemplarily, the attribute information includes ciphertext, that is, encrypted data, so in the information analysis network, the ciphertext is decrypted using a pre-stored preset key to obtain the first image shooting information; for example, the ciphertext is encrypted by the corresponding parameters at the time of shooting, wherein the encryption method includes DES encryption and AES encryption, etc., and the corresponding parameters at the time of shooting include but are not limited to the shooting time, shooting location, serial number of the target shooting device, image parameters of the captured image, etc.; and then after decryption, it is possible to determine whether the shooting of the on-site photos is compliant through the decrypted information, and encryption is performed after shooting, avoiding modification of the photos, thereby improving the credibility of the photos being on-site photos, and thereby improving the accuracy of damage assessment and claims based on photos.

[0038] Step S103: Based on the information recognition network of the information processing model, the identification information is recognized to obtain second image shooting information of the image to be verified.

[0039] Exemplarily, the image to be verified, output from the information analysis network, is input into the information recognition network, where the identification information of the image to be verified is processed to obtain second image capture information. For example, the second image capture information may include the capture address, capture time, target capture device, and image parameters, and may be identical, partially identical, or completely different from the first image capture information, and this application is not limited thereto.

[0040] In some embodiments, the identification information includes an image watermark and / or a text watermark; the information recognition network based on the information processing model identifies and processes the identification information to obtain the second image shooting information of the image to be verified, including: determining the first image area containing the image watermark in the image to be verified based on the information recognition network of the information processing model, and performing image recognition processing on the first image area to obtain the second image shooting information; and / or determining the second image area containing the text watermark in the image to be verified based on the information recognition network of the information processing model, and performing text recognition processing on the second image area to obtain the second image shooting information.

[0041] Exemplarily, the identification information is an image watermark and / or a text watermark. After the target shooting device captures the image, a corresponding image watermark and / or text watermark is generated based on parameters such as the shooting time, shooting location or shooting device, and is affixed to the captured image to obtain the image to be verified.

[0042] In some embodiments, the information recognition network can determine a first image region of the image to be verified, where the first image region is an image region that contains at least an image watermark. Therefore, the information recognition network can perform image recognition processing on the first image region to obtain corresponding second image capture information. If the image to be verified contains a second image region containing a text watermark, the information recognition network can further determine the second image region of the image to be verified and perform text recognition processing on the second image region to obtain the second image capture information. The text recognition processing can be implemented using optical character recognition (OCR) technology.

[0043] Illustratively, the first image area and the second image area may be adjacent, intersecting, or separated areas, which is not limited in the present application.

[0044] See also Figure 2a and Figure 2b , Figure 2a A schematic diagram of an image to be verified provided in an embodiment of the present application, Figure 2b A schematic diagram of an image to be verified provided in another embodiment of the present application.

[0045] In some embodiments, as Figure 2a As shown (the object in the image to be verified is not shown, only the image frame and watermark are shown), the image watermark is a QR code watermark ( Figure 2a In the example of the box where the letter A is located), at least two QR code watermarks are set in different corners of the image to be verified, and the text watermark ( Figure 2a The letter B and its underline are used to represent the area occupied by the text watermark) can be set in the center area of ​​the image to be verified. By adjusting the transparency of the text watermark in the center area, the text watermark can be prevented from blocking the objects in the image to be verified, which will cause the objects in the image to be verified to be unable to be clearly identified. Figure 2b As shown, the QR code watermark and the text watermark can be set in different corners. This application does not limit the specific setting position of the image watermark and the text watermark.

[0046] It should be noted that the second image shooting information determined by the image watermark and the second image information determined by the text watermark may be the same or different. Specifically, when both the image watermark and the text watermark exist in the image to be verified, the shooting device and location can be determined by the image watermark, and the shooting time can be determined by the text watermark, thereby obtaining the second image shooting information of the shooting device, location and time; for another example, the shooting device and time are determined by the image watermark, and the shooting time and location are determined by the text watermark, that is, the information determined by the image watermark is partially the same as the information determined by the text watermark; in other embodiments, the information determined by the image watermark and the information determined by the text watermark may also be exactly the same. This application does not limit whether the information determined by the image watermark and the information determined by the text watermark are the same and the specific information.

[0047] In some embodiments, the method further includes: determining whether the first image capturing information matches the second image capturing information; and if the first image capturing information matches the second image capturing information, determining whether the first image capturing information and the second image capturing information meet the evidence collection conditions.

[0048] For example, after obtaining the first and second image information, a determination is made as to whether the first and second image information match. If so, a further determination is made as to whether the first and second image information meet the evidence collection requirements. If not, no determination is made as to whether the first and second image information meet the evidence collection requirements, and the image to be verified is directly determined to have failed verification. It should be understood that if the first and second image information do not match, it can be determined that part of the image to be verified has been modified or presents a significant compliance risk, and therefore cannot be stored as evidence, thereby mitigating the risk of financial insurance claims, such as insurance fraud.

[0049] In some embodiments, the first image capturing information includes at least one of a first capturing location, a first capturing time, and a first capturing device, and the second image capturing information includes at least one of a second capturing location, a second capturing time, and a second capturing device; determining whether the first image capturing information matches the second image capturing information includes: determining whether the first image capturing information matches the second image capturing information based on at least one of the first capturing location and the second capturing location, the first capturing time and the second capturing time, and the first capturing device and the second capturing device.

[0050] Exemplarily, the first image capture information includes but is not limited to a first capture location, a first capture time, and a first capture device, and the second image capture information includes but is not limited to a second capture location, a second capture time, and a second capture device. Therefore, it is possible to determine whether the first image capture information matches the second image capture information based on the capture location, capture time, and capture device, etc. in the first and second image capture information. It should be understood that when determining whether the first image capture information matches the second image capture information based on the above information, the information included in both images is used for matching, while the information included in only one of the image capture information is not used for matching. For example, if the first image capture information includes a first capture location and a first capture device, and the second image capture information includes a second capture location and a second capture time, then the first capture location can be used to determine whether the first image capture information matches the second image capture information, while the first capture device and the second capture time are not used to determine whether the first image capture information matches the second image capture information. The specific information included in the first image capture information and the specific information included in the second image capture information are not limited in this application, and those skilled in the art may adjust them according to actual usage requirements.

[0051] In other embodiments, the first image shooting information also includes a first shooting azimuth, a first shooting clarity, etc., which is not limited in this application.

[0052] Step S104: When it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information, the image to be verified is determined as an evidence image.

[0053] For example, if the first image information matches the second image information, and both the first image information and the second image information meet the evidence collection criteria corresponding to the accident report information, the image to be verified is determined to have passed verification and is designated as an evidence image for storage. It is understood that the stored evidence image can be retrieved as needed to serve as evidence at the accident scene.

[0054] Exemplarily, the insurance report event information includes but is not limited to the insurance report time, insurance report location, insurance report vehicle and other information of the insurance report event. Based on this, after determining the shooting location, shooting time and shooting equipment and other information of the image to be verified according to the first image shooting information and / or the second shooting information, by matching the shooting location of the image to be verified with the insurance report location corresponding to the insurance report event, the shooting time of the image to be verified with the insurance report time, the captured vehicle and the insurance report vehicle and other information, and the shooting equipment with the preset shooting equipment list, it is determined through the above information whether the image to be verified meets the evidence collection conditions; for example, when the distance between the shooting location and the insurance report location is within the preset distance, and the time difference between the insurance report time and the shooting time is within the preset time difference, it is determined that the image to be verified meets the evidence collection conditions; and if the distance between the shooting location and the insurance report location is outside the preset distance, it can be determined that the image to be verified does not meet the evidence collection conditions. It should be noted that this application does not limit the specific information included in the insurance reporting event, the first image shooting information and the second image shooting information, nor does it limit the specific evidence collection conditions; technical personnel in this field can set the insurance reporting event information, first image shooting information, second image shooting information and evidence collection conditions to be obtained according to their own needs or the insurance policy template of their own company.

[0055] Exemplarily, when the image to be verified does not meet the evidence collection conditions, it is determined that the image to be verified has failed the verification, and a verification failure result is returned.

[0056] The information verification method provided by the above embodiment obtains the image to be verified by responding to the insurance report event information, and the image to be verified includes attribute information and identification information that is difficult to decipher, wherein the attribute information and identification information are encrypted and generated based on information such as the shooting location, shooting time and shooting equipment when the image is obtained, thereby preventing relevant personnel from modifying the image obtained by on-site shooting into false evidence for use in damage assessment and claims settlement; at the same time, it can also ensure the security of the image to be verified during data transmission, thereby ensuring the accuracy and security of the image to be verified received by the terminal; and the terminal receiving the image to be verified can also parse the attribute information and identification of the image to be verified to obtain the shooting location, shooting time and shooting equipment. The device captures the captured image and further determines whether the image to be verified meets the evidence collection conditions based on this captured information, thereby completing the verification of the image to be verified. It can be seen that the image to be verified is encrypted during its generation process to prevent unauthorized data tampering and other modifications, and also ensure the security of the transmission process. After being received by the terminal, the image to be verified is decrypted to obtain the captured information of the accident scene, such as the shooting location, shooting time, and shooting equipment. This information is then compared with the location and time of the accident report corresponding to the accident report, thereby determining whether the surveyor actually went to the scene to take the photos. This ensures the authenticity and accuracy of the verified evidence image, thereby reducing the risk of unreasonable financial and insurance claims. In addition, the function of generating the image to be verified can be integrated into a certain shooting device, allowing the surveyor to go to the accident scene without the survey vehicle, avoiding the risk of the survey vehicle's use and shortening the customer's on-site waiting time.

[0057] It should be understood that the embodiments provided by the above method can be applied in the insurance field of financial technology, making the claims investigation process more transparent and standardized, and ensuring the authenticity, compliance and accuracy of the evidence used for claims, thereby reducing the risk of unreasonable claims due to false evidence provided by customers or surveyors with vested interests; and can reduce the cost of insurance claims and labor costs.

[0058] In some embodiments, the method further includes: obtaining the image to be verified for damage assessment corresponding to the insurance report event information; determining whether the image to be verified for damage assessment meets the preset damage assessment verification conditions based on the evidence image; and determining the image to be verified for damage assessment as the target damage assessment image if the image to be verified for damage assessment meets the damage assessment verification conditions.

[0059] For example, after completing the preservation of evidence at the accident scene, at the damage assessment stage of a claim, the compliance and authenticity of the damage assessment image can still be ensured through methods similar to those in the above-mentioned embodiments, thereby ensuring the accuracy of the claim. Specifically, a damage assessment image to be verified is obtained; and based on the evidence image, it is determined whether the damage assessment image to be verified meets the damage assessment verification conditions. If it is determined that the damage assessment image to be verified does not meet the damage assessment verification conditions, it is determined that it has failed verification and cannot be used as a damage assessment image. If it is determined that the damage assessment image to be verified meets the damage assessment verification conditions, it is determined that the damage assessment image to be verified has passed verification and is determined as the target damage assessment image. Damage assessment is performed based on the state corresponding to the target damage assessment image, thereby ensuring the accuracy of damage assessment and reducing the risk of unreasonable financial insurance claims.

[0060] In some embodiments, determining whether the image to be verified for damage assessment meets preset damage verification conditions based on the evidence image includes: determining third image shooting information of the image to be verified for damage assessment; and determining that the image to be verified for damage assessment meets the preset damage verification conditions when the third image shooting information matches the evidence image.

[0061] For example, the third image capture information of the damage assessment image to be verified can be determined using the information processing model provided in the aforementioned embodiments. The specific information determination process can be referenced to the first and / or second image capture information processes for the image to be verified and will not be further elaborated here. After obtaining the third image capture information, the third capture time and location corresponding to the damage assessment image to be verified can be further determined. The third capture location is used to determine the damage assessment repair location. Therefore, based on whether the third capture time and damage assessment repair location match the evidence image, it can be determined whether the damage assessment image to be verified meets the pre-set damage assessment verification criteria. Specifically, the evidence image also has corresponding capture time and other information during the determination process. Based on the pre-set correspondence, it can be determined whether the third capture time corresponds to the capture time of the evidence image. Furthermore, the current damage assessment repair location can be determined based on the third capture location. Furthermore, based on the pre-set damage assessment repair location list, it can be determined whether the current damage assessment repair location meets the damage assessment repair location specified in the insurance policy. It should be understood that if the third image capture information matches the evidence image, the damage assessment image to be verified is determined to have passed verification and is designated as the target damage assessment image, serving as damage assessment evidence.

[0062] It should be noted that by encrypting the image information of the uploaded damage assessment images, the security of the image transmission process is ensured, and unauthorized data tampering and modification are avoided, thereby ensuring the authenticity and compliance of the damage assessment images, thereby improving the accuracy of the damage assessment and avoiding unreasonable financial insurance claims risks.

[0063] See also Figure 3 , Figure 3This is a schematic diagram of an information verification device provided in one embodiment of the present application. The information verification device can be configured in a server or a terminal to execute the aforementioned information verification model training method.

[0064] like Figure 3 As shown, the information verification device 100 includes: an image acquisition module 110 , a first information processing module 120 , a second information processing module 130 , and a verification module 140 .

[0065] The image acquisition module 110 is used to acquire an image to be verified in response to the insurance event information, wherein the image to be verified includes attribute information and identification information;

[0066] A first information processing module 120 is configured to parse the attribute information based on an information parsing network of a preset information processing model to obtain first image shooting information of the image to be verified;

[0067] A second information processing module 130 is configured to perform identification processing on the identification information based on the information identification network of the information processing model to obtain second image shooting information of the image to be verified;

[0068] The verification module 140 is configured to determine the image to be verified as an evidence image when it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information.

[0069] Exemplarily, the first information processing module 120 is further configured to decrypt the ciphertext using a preset key based on an information parsing network of a preset information processing model to obtain the first image capturing information.

[0070] Exemplarily, the second information processing module 130 is also used to determine the first image area containing the image watermark in the image to be verified based on the information recognition network of the information processing model, and perform image recognition processing on the first image area to obtain the second image shooting information; and / or determine the second image area containing the text watermark in the image to be verified based on the information recognition network of the information processing model, and perform text recognition processing on the second image area to obtain the second image shooting information.

[0071] Exemplarily, the information verification device further includes a first matching module and a first determination module.

[0072] The first matching module is configured to determine whether the first image capturing information matches the second image capturing information.

[0073] The first determination module is configured to determine whether the first image shooting information and the second image shooting information meet the evidence collection condition when the first image shooting information matches the second image shooting information.

[0074] Exemplarily, the first matching module is further used to determine whether the first image shooting information matches the second image shooting information based on at least one of the first shooting location and the second shooting location, the first shooting time and the second shooting time, the first shooting device and the second shooting device.

[0075] Exemplarily, the information verification device further includes a second determination module.

[0076] The image acquisition module 110 is further used to obtain the damage assessment image to be verified corresponding to the insurance event information.

[0077] The second determination module is used to determine whether the damage assessment image to be verified meets the preset damage assessment verification conditions based on the evidence image.

[0078] The verification module 140 is further configured to determine the damage assessment image to be verified as a target damage assessment image if the damage assessment image to be verified meets damage assessment verification conditions.

[0079] Exemplarily, the second determination module includes an information determination submodule.

[0080] An information determination submodule, configured to determine third image shooting information of the damage assessment image to be verified;

[0081] The verification module 140 is further configured to determine whether the damage assessment image to be verified meets the preset damage assessment verification conditions when the third image shooting information matches the evidence image.

[0082] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0083] See also Figure 4 , Figure 4 This is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device can be a server or a terminal.

[0084] like Figure 4 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0085] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, which, when executed, can cause a processor to perform any one of the information verification methods.

[0086] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0087] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any information verification method.

[0088] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0089] It should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0090] In one embodiment, the processor is configured to execute a computer program stored in the memory to implement the following steps:

[0091] In response to the insurance event information, obtaining an image to be verified, wherein the image to be verified includes attribute information and identification information;

[0092] An information parsing network based on a preset information processing model parses the attribute information to obtain first image shooting information of the image to be verified;

[0093] Based on the information recognition network of the information processing model, the identification information is recognized and processed to obtain second image shooting information of the image to be verified;

[0094] When it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information, the image to be verified is determined as an evidence image.

[0095] In one embodiment, when the processor implements an information parsing network based on a preset information processing model to parse the attribute information and obtain the first image shooting information of the image to be verified, it is configured to implement:

[0096] An information parsing network based on a preset information processing model decrypts the ciphertext using a preset key to obtain the first image shooting information.

[0097] In one embodiment, when the processor implements the information recognition network based on the information processing model to perform recognition processing on the identification information to obtain the second image shooting information of the image to be verified, it is configured to implement:

[0098] determining, based on the information recognition network of the information processing model, a first image region containing the image watermark in the image to be verified, and performing image recognition processing on the first image region to obtain the second image shooting information; and / or

[0099] Based on the information recognition network of the information processing model, a second image region containing the text watermark in the image to be verified is determined, and text recognition processing is performed on the second image region to obtain the second image shooting information.

[0100] In one embodiment, when implementing the information verification method, the processor is configured to implement:

[0101] determining whether the first image capturing information matches the second image capturing information;

[0102] If the first image capture information matches the second image capture information, determining whether the first image capture information and the second image capture information meet the evidence collection conditions

[0103] In one embodiment, when determining whether the first image capturing information matches the second image capturing information, the processor is configured to implement:

[0104] It is determined whether the first image capturing information matches the second image capturing information according to at least one of the first and second capturing locations, the first and second capturing times, and the first and second capturing devices.

[0105] In one embodiment, when implementing the information verification method, the processor is configured to implement:

[0106] Obtaining the damage assessment image to be verified corresponding to the insurance event information;

[0107] Determining whether the damage assessment image to be verified meets a preset damage assessment verification condition based on the evidence image;

[0108] If the damage assessment image to be verified meets the damage assessment verification conditions, the damage assessment image to be verified is determined as a target damage assessment image.

[0109] In one embodiment, when determining, based on the evidence image, whether the damage assessment image to be verified meets a preset damage assessment verification condition, the processor is configured to:

[0110] Determining third image shooting information of the damage assessment image to be verified;

[0111] When the third image shooting information matches the evidence image, it is determined that the damage assessment image to be verified meets the preset damage assessment verification condition.

[0112] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described information verification can refer to the corresponding process in the aforementioned information verification method embodiment, and will not be repeated here.

[0113] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. The computer program includes program instructions. The method implemented when the program instructions are executed can refer to the various embodiments of the information verification method of the present application.

[0114] The computer-readable storage medium may be an internal storage unit of the computer device described in the aforementioned embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, etc., equipped on the computer device.

[0115] It should be understood that the terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0116] It should also be understood that the term "and / or" used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system that includes a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also includes elements that are inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system that includes the element.

[0117] The serial numbers of the embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments. The above description is only a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An information verification method, characterized in that: include: In response to the insurance event information, obtaining an image to be verified, wherein the image to be verified includes attribute information and identification information; An information parsing network based on a preset information processing model parses the attribute information to obtain first image shooting information of the image to be verified; Based on the information recognition network of the information processing model, the identification information is recognized and processed to obtain second image shooting information of the image to be verified; When it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information, the image to be verified is determined as an evidence image.

2. The information verification method according to claim 1, wherein: The attribute information includes ciphertext; the information parsing network based on the preset information processing model parses the attribute information to obtain first image shooting information of the image to be verified, including: An information parsing network based on a preset information processing model decrypts the ciphertext using a preset key to obtain the first image shooting information.

3. The information verification method according to claim 1, wherein: The identification information includes an image watermark and / or a text watermark; the information recognition network based on the information processing model performs recognition processing on the identification information to obtain second image shooting information of the image to be verified, including: determining, based on the information recognition network of the information processing model, a first image region containing the image watermark in the image to be verified, and performing image recognition processing on the first image region to obtain the second image shooting information; and / or Based on the information recognition network of the information processing model, a second image region containing the text watermark in the image to be verified is determined, and text recognition processing is performed on the second image region to obtain the second image shooting information.

4. The information verification method according to any one of claims 1 to 3, characterized in that: The method further comprises: determining whether the first image capturing information matches the second image capturing information; In a case where the first image capturing information matches the second image capturing information, it is determined whether the first image capturing information and the second image capturing information meet the evidence collection condition.

5. The information verification method according to claim 4, wherein: The first image shooting information includes at least one of a first shooting location, a first shooting time, and a first shooting device; the second image shooting information includes at least one of a second shooting location, a second shooting time, and a second shooting device; The determining whether the first image capturing information matches the second image capturing information includes: It is determined whether the first image capturing information matches the second image capturing information according to at least one of the first and second capturing locations, the first and second capturing times, and the first and second capturing devices.

6. The information verification method according to any one of claims 1 to 3, characterized in that: The method further comprises: Obtaining the damage assessment image to be verified corresponding to the insurance event information; Determining whether the damage assessment image to be verified meets a preset damage assessment verification condition based on the evidence image; If the damage assessment image to be verified meets the damage assessment verification conditions, the damage assessment image to be verified is determined as a target damage assessment image.

7. The information verification method according to claim 6, wherein: The determining, based on the evidence image, whether the damage assessment image to be verified meets a preset damage assessment verification condition includes: Determining third image shooting information of the damage assessment image to be verified; When the third image shooting information matches the evidence image, it is determined that the damage assessment image to be verified meets the preset damage assessment verification condition.

8. An information verification device, characterized in that: The information verification device includes: An image acquisition module, configured to acquire an image to be verified in response to the risk reporting event information, wherein the image to be verified includes attribute information and identification information; a first information processing module, configured to parse the attribute information based on an information parsing network of a preset information processing model to obtain first image shooting information of the image to be verified; a second information processing module, configured to perform identification processing on the identification information based on the information identification network of the information processing model to obtain second image shooting information of the image to be verified; The verification module is used to determine the image to be verified as an evidence image when it is determined that the first image shooting information and the second image shooting information meet the evidence collection conditions corresponding to the risk reporting event information.

9. A computer device, characterized in that: The computer device includes a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the information verification method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the information verification method according to any one of claims 1 to 7 are implemented.

Images