Vehicle accident map processing method and device of vehicle insurance claim settlement system, and server

Abstract

The embodiment of the invention provides a vehicle accident map processing method and device of a vehicle insurance claim settlement system and a server. The method comprises the following steps: detecting a plurality of vehicles from a vehicle accident map; identifying a loss area of each vehicle, and segmenting the loss area of each vehicle from the vehicle accident map to obtain a loss area map of each vehicle; marking a loss area of each vehicle in the vehicle accident map to obtain a vehicle accident map indicating the loss area; compressing the loss area map of each vehicle to obtain a compressed loss area map of each vehicle; compressing the vehicle accident map indicating the loss area to obtain a compressed vehicle accident map indicating the loss area; and when a vehicle accident map checking request sent by the claim settlement person terminal for the vehicle insurance claim settlement system is received, the compressed loss area map of each vehicle and the compressed vehicle accident map marking the loss area are sent to the claim settlement person terminal, so that the claim settlement person terminal can check the vehicle accident map. According to the method, the loading speed is increased.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a vehicle accident graph processing method, device and server for a motor vehicle insurance claim system. Background Art

[0002] In the auto insurance claims system, it is necessary to take a photo of the vehicle involved in the accident and upload the vehicle accident picture to the auto insurance claims system. The claims adjuster terminal will conduct a loss assessment on the vehicle involved in the accident based on the vehicle accident picture.

[0003] At present, the existing technology generally directly stores the vehicle accident map uploaded to the vehicle insurance claim system, and loads the vehicle accident map when receiving a request for viewing the vehicle accident map sent by the claims adjuster terminal to the vehicle claim system.

[0004] However, directly storing the vehicle accident map will take up more storage space and will reduce the loading speed when loading the vehicle accident map. Summary of the invention

[0005] The embodiments of the present application provide a vehicle accident map processing method, device and server for a motor vehicle insurance claim system, so as to achieve the effect of improving the loading speed.

[0006] In a first aspect, an embodiment of the present application provides a vehicle accident map processing method for a motor vehicle insurance claims system, comprising: receiving a vehicle accident map sent by an image capture device; detecting the vehicle accident map, and detecting multiple vehicles from the vehicle accident map; identifying the loss area of ​​each vehicle, segmenting the loss area of ​​each vehicle from the vehicle accident map, and obtaining a loss area map of each vehicle; marking the loss area of ​​each vehicle in the vehicle accident map, and obtaining a vehicle accident map with the loss area marked; compressing the loss area map of each vehicle, and obtaining a compressed loss area map of each vehicle; compressing the vehicle accident map with the loss area marked, and obtaining a compressed vehicle accident map with the loss area marked; upon receiving a request for viewing the vehicle accident map sent by a claims adjuster terminal to the motor vehicle insurance claims system, sending the compressed loss area map of each vehicle and the compressed vehicle accident map with the loss area marked to the claims adjuster terminal, so that the claims adjuster terminal can view the compressed loss area map and the compressed vehicle accident map with the loss area marked of each vehicle.

[0007] In a possible implementation, a vehicle accident image is detected, and multiple vehicles are detected from the vehicle accident image, including: obtaining at least one vehicle outline from the vehicle accident image; and performing outline enhancement on the at least one vehicle outline to detect multiple vehicles.

[0008] In a possible implementation, obtaining at least one vehicle contour from a vehicle accident image includes: calculating the gradient of each pixel point in the vehicle accident image; determining a plurality of candidate contour points based on the gradient of each pixel point; screening a plurality of final contour points from the plurality of candidate contour points; and obtaining at least one vehicle contour based on the plurality of final contour points.

[0009] In a possible implementation, determining a plurality of candidate contour points according to the gradient of each pixel point includes: determining a plurality of candidate contour points according to the gradient of each pixel point by a non-maximum suppression method.

[0010] In a possible implementation, screening out a plurality of final contour points from a plurality of candidate contour points includes: determining all contour points that meet a screening condition among the plurality of candidate contour points as the plurality of final contour points.

[0011] In a possible implementation, the screening condition is: the gradient corresponding to any candidate contour point is greater than a first threshold, or the gradient corresponding to any candidate contour point is less than the first threshold but greater than a second threshold, and the gradient corresponding to the contour points adjacent to any candidate contour point is greater than the first threshold.

[0012] In a second aspect, an embodiment of the present application provides a vehicle accident graph processing device of a vehicle insurance claim settlement system, comprising:

[0013] The receiving module is used to receive the vehicle accident image sent by the image capturing device.

[0014] The detection module is used to detect the vehicle accident image and detect multiple vehicles from the vehicle accident image.

[0015] The first acquisition module is used to identify the wear and tear area of ​​each vehicle, segment the wear and tear area of ​​each vehicle from the vehicle accident map, and obtain the wear and tear area map of each vehicle.

[0016] The second acquisition module is used to mark the wear and tear area of ​​each vehicle in the vehicle accident map to obtain a vehicle accident map with the wear and tear area marked.

[0017] The compression module is used to compress the loss area map of each vehicle to obtain the compressed loss area map of each vehicle.

[0018] The third acquisition module is used to compress the vehicle accident map indicating the loss area to obtain a compressed vehicle accident map indicating the loss area.

[0019] The sending module is used to send the compressed loss area map and the compressed vehicle accident map with loss areas marked of each vehicle to the claims adjuster terminal when receiving a request for viewing the vehicle accident map sent by the claims adjuster terminal to the motor vehicle insurance claims system, so that the claims adjuster terminal can view the compressed loss area map and the compressed vehicle accident map with loss areas marked of each vehicle.

[0020] In a third aspect, an embodiment of the present application provides a server, including: a memory, a processor;

[0021] The memory stores computer-executable instructions;

[0022] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0023] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0024] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0025] The vehicle accident map processing method, device and server of the motor vehicle insurance claims system provided in the embodiment of the present application detect multiple vehicles in the vehicle accident map and identify the loss area of ​​each vehicle to obtain the loss area map of each vehicle; compress the loss area map of each vehicle and the vehicle accident map with the loss area marked, thereby reducing the storage space occupied by the vehicle accident map and improving the loading speed when loading the vehicle accident map. In addition, the loss area of ​​each vehicle is identified to obtain the loss area map of each vehicle. When a request for viewing the vehicle accident map sent by the claims adjuster terminal to the motor vehicle insurance claims system is received, the compressed loss area map of each vehicle and the compressed vehicle accident map with the loss area marked are sent to the claims adjuster terminal, which can intuitively display the loss area of ​​each vehicle in the vehicle accident map. On the one hand, it can enhance the experience of the claims adjuster, and on the other hand, it can reduce the time for the claims adjuster to conduct loss assessment, thereby improving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0027] Figure 1A schematic diagram of a scenario of a vehicle accident graph processing method of a vehicle insurance claims system provided in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of the process flow of a vehicle accident graph processing method of a vehicle insurance claims system provided in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of the structure of a vehicle accident graph processing device of a vehicle insurance claim settlement system provided in an embodiment of the present application;

[0030] Figure 4 A schematic diagram of the hardware structure of the server provided in an embodiment of the present application.

[0031] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0032] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0033] Figure 1 A schematic diagram of a scenario of a vehicle accident graph processing method of a vehicle insurance claims system provided in an embodiment of the present application, such as Figure 1 As shown, the specific application scenarios of the present application include: an image capture device 101, a server 102 and a claims adjuster terminal 103.

[0034] refer to Figure 1 , the image capture device 101 takes a photo of the vehicle involved in the accident to obtain a vehicle accident map; the vehicle accident map is sent to the server 102, the server 102 detects multiple vehicles in the vehicle accident map, and identifies the loss area of ​​each vehicle, and segments the identified loss area from the vehicle accident map to obtain a loss area map of each vehicle; marks the loss area of ​​each vehicle in the vehicle accident map to obtain a vehicle accident map with the loss area marked; the loss area map of each vehicle and the vehicle accident map with the loss area marked are respectively compressed; when a request for viewing the vehicle accident map sent by the claims adjuster terminal 103 to the motor vehicle insurance claims system is received, the compressed loss area map of each vehicle and the compressed vehicle accident map with the loss area marked are sent to the claims adjuster terminal 103 so that the claims adjuster terminal 103 can view it.

[0035] In the auto insurance claims system, it is necessary to take a photo of the vehicle involved in the accident and upload the vehicle accident map to the auto insurance claims system. The claims adjuster terminal will conduct a loss assessment on the vehicle involved in the accident based on the vehicle accident map. At present, the prior art generally directly stores the vehicle accident map uploaded to the auto insurance claims system, and loads the vehicle accident map when receiving a request to view the vehicle accident map sent by the claims adjuster terminal to the vehicle claims system. However, directly storing the vehicle accident map will take up more storage space and reduce the loading speed when loading the vehicle accident map.

[0036] In order to solve the above technical problems, the embodiments of the present application propose the following technical ideas: by detecting multiple vehicles in the vehicle accident map and identifying the loss area of ​​each vehicle, a loss area map of each vehicle is obtained; the loss area map of each vehicle and the vehicle accident map marked with loss areas are compressed separately, thereby reducing the storage space occupied by the vehicle accident map and improving the loading speed when loading the vehicle accident map.

[0037] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0038] Figure 2 A flow chart of a vehicle accident graph processing method of a vehicle insurance claims system provided in an embodiment of the present application is shown as follows: Figure 2 As shown, the method includes:

[0039] S201: Receive a vehicle accident image sent by an image capturing device.

[0040] The vehicle accident picture is obtained by taking a picture of the vehicle involved in the accident by an image capture device when the vehicle has an accident.

[0041] Optionally, the image capturing device may be a traffic monitoring camera, a driving recorder, a camera, etc.

[0042] S202: Detect the vehicle accident map, and detect multiple vehicles from the vehicle accident map.

[0043] Specifically, at least one vehicle outline is acquired from the vehicle accident image; and outline enhancement is performed on the at least one vehicle outline to detect multiple vehicles.

[0044] Optionally, the vehicle accident image is preprocessed, including but not limited to adjusting the image size, contrast, brightness, etc., to improve the image quality.

[0045] Optionally, edge detection algorithms such as Canny edge detector, Sobel operator and Laplacian operator can be used to identify edge information in the vehicle accident image. The edge information includes the vehicle outline.

[0046] In this embodiment, the vehicle contours are enhanced and extracted to detect multiple vehicles.

[0047] Optionally, the contour features of the vehicle can be enhanced based on the vehicle contour by morphological operations, such as dilation can connect broken vehicle contours, and erosion can remove small noise points or connect different objects that are too close.

[0048] Among them, dilation expands the target area by adding pixels at the boundary of the target area, which helps to connect the broken vehicle contours; erosion shrinks the target area by removing pixels at the boundary of the target area, which helps to remove small noise points or connect different objects that are too close.

[0049] S203: Identify the wear and tear area of ​​each vehicle, segment the wear and tear area of ​​each vehicle from the vehicle accident map, and obtain a wear and tear area map of each vehicle.

[0050] The loss area refers to the location where the vehicle is damaged when an accident occurs.

[0051] Optionally, the damaged area in the vehicle accident image can be separated from the surrounding environment by image segmentation technology. It can be based on deep learning models such as full convolutional network and Mask R-CNN. Optionally, the image segmentation technology can be semantic segmentation and instance segmentation.

[0052] S204: Mark the wear and tear area of ​​each vehicle in the vehicle accident map to obtain a vehicle accident map with the wear and tear areas marked.

[0053] Optionally, the segmented loss area maps of each vehicle are superimposed on the vehicle accident map, wherein the loss areas can be marked with different colors, transparencies or marked with boundary boxes, etc., to mark the vehicle accident map with the loss areas, making the loss areas more prominent and easier to identify.

[0054] Optionally, the wear area map for each vehicle and the vehicle accident map indicating the wear area may be manually verified.

[0055] S205: compressing the loss area map of each vehicle to obtain a compressed loss area map of each vehicle.

[0056] S206: compressing the vehicle accident map indicating the wear and tear area to obtain a compressed vehicle accident map indicating the wear and tear area.

[0057] In this embodiment, the wear area map of each vehicle and the vehicle accident map indicating the wear area are compressed to reduce the file size, thereby increasing the loading speed.

[0058] Optionally, compression may be performed using methods such as lossless compression or lossy compression.

[0059] In this embodiment, when performing compression, it should be ensured that the compression process does not destroy key information in the image, such as the exact location of the loss area.

[0060] S207: Upon receiving a request from the claims adjuster terminal to view the vehicle accident map sent by the motor vehicle insurance claims system, the compressed loss area map of each vehicle and the compressed vehicle accident map indicating the loss area are sent to the claims adjuster terminal, so that the claims adjuster terminal can view the compressed loss area map of each vehicle and the compressed vehicle accident map indicating the loss area.

[0061] In summary, multiple vehicles in the vehicle accident map are detected, and the loss area of ​​each vehicle is identified to obtain the loss area map of each vehicle; the loss area map of each vehicle and the vehicle accident map marked with the loss area are compressed to reduce the storage space occupied by the vehicle accident map and improve the loading speed when loading the vehicle accident map. In addition, the loss area of ​​each vehicle is identified to obtain the loss area map of each vehicle, and then the vehicle accident map with the loss area marked is obtained. Upon receiving the viewing request of the vehicle accident map sent by the claims adjuster terminal to the motor vehicle insurance claims system, the compressed loss area map of each vehicle and the compressed vehicle accident map with the loss area marked are sent to the claims adjuster terminal, which can intuitively display the loss area of ​​each vehicle in the vehicle accident map. On the one hand, it can enhance the claims adjuster's experience, and on the other hand, it can reduce the time for the claims adjuster to conduct loss assessment on the vehicle, thereby improving efficiency.

[0062] Based on the above embodiment, in this embodiment, a process of obtaining at least one vehicle profile from a vehicle accident image is described in detail, as follows:

[0063] S301: Calculate the gradient of each pixel in the vehicle accident map.

[0064] The magnitude of the gradient indicates how fast the brightness of each pixel changes, and the direction of the gradient indicates the direction of change of each pixel.

[0065] Optionally, the vehicle accident image is often interfered by various noises during the collection and transmission process, and these noises will seriously affect the accuracy of the vehicle profile. Therefore, before calculating the gradient, the vehicle accident image is smoothed to reduce the noise in the vehicle accident image. Optionally, the smoothing process can be performed by Gaussian filtering.

[0066] S302: Determine a plurality of candidate contour points according to the gradient of each pixel point.

[0067] Specifically, a plurality of candidate contour points are determined according to the gradient of each pixel point through a non-maximum suppression method.

[0068] In this embodiment, after calculating the gradient of each pixel in the vehicle accident map, there will be a large number of gradient points in the vehicle accident map, but not all gradient points are contour points. Through the non-maximum suppression method, the points with the largest local gradient can be retained as candidate contour points, and other non-contour points can be removed. The purpose of this step is to reduce the number of candidate contour points while retaining the points that are most likely to become the true contour.

[0069] S303: Filter and obtain multiple final contour points from multiple candidate contour points.

[0070] Specifically, all contour points that meet the screening condition among the plurality of candidate contour points are determined as the plurality of final contour points.

[0071] Optionally, a first threshold and a second threshold are set; wherein the first threshold is greater than the second threshold.

[0072] Among them, the gradient corresponding to any candidate contour point is greater than the first threshold,

[0073] Or the gradient corresponding to any candidate contour point is smaller than the first threshold but larger than the second threshold, and the gradient corresponding to the contour points adjacent to any candidate contour point is larger than the first threshold.

[0074] S304: Acquire at least one vehicle contour according to the multiple final contour points.

[0075] Optionally, the final contour points may be connected by an edge connection algorithm to obtain at least one vehicle contour.

[0076] In summary, by calculating the gradient of each pixel in the vehicle accident image, and according to the gradient of each pixel, the point most likely to become the true contour is retained as the candidate contour point through the non-maximum suppression method; multiple final contour points are obtained from multiple candidate contour points through screening conditions, thereby improving the accuracy of vehicle contour detection.

[0077] Figure 3 A schematic diagram of the structure of a vehicle accident graph processing device of a vehicle insurance claim settlement system provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the vehicle accident image processing device of the motor vehicle insurance claim system provided in this embodiment includes: a receiving module 301, a detection module 302, a first acquisition module 303, a second acquisition module 304, a compression module 305, a third acquisition module 306 and a sending module 307.

[0078] The receiving module 301 is used to receive the vehicle accident image sent by the image capturing device.

[0079] The detection module 302 is used to detect the vehicle accident map and detect multiple vehicles from the vehicle accident map.

[0080] The first acquisition module 303 is used to identify the wear and tear area of ​​each vehicle, segment the wear and tear area of ​​each vehicle from the vehicle accident map, and obtain a wear and tear area map of each vehicle.

[0081] The second acquisition module 304 is used to mark the wear and tear area of ​​each vehicle in the vehicle accident map to obtain a vehicle accident map with the wear and tear area marked.

[0082] The compression module 305 is used to compress the loss area map of each vehicle to obtain a compressed loss area map of each vehicle.

[0083] The third acquisition module 306 is used to compress the vehicle accident map indicating the wear and tear area to obtain a compressed vehicle accident map indicating the wear and tear area.

[0084] The sending module 307 is used to send the compressed loss area map and the compressed vehicle accident map indicating the loss area of ​​each vehicle to the claims adjuster terminal when receiving a request for viewing the vehicle accident map sent by the claims adjuster terminal to the motor vehicle insurance claims system, so that the claims adjuster terminal can view the compressed loss area map and the compressed vehicle accident map indicating the loss area of ​​each vehicle.

[0085] In a possible implementation, the detection module 302 is specifically configured to: obtain at least one vehicle outline from the vehicle accident image; and perform outline enhancement on the at least one vehicle outline to detect multiple vehicles.

[0086] In a possible implementation, the vehicle accident map processing device of the vehicle insurance claims system also includes: a fourth acquisition module, used to calculate the gradient of each pixel point in the vehicle accident map; determine multiple candidate contour points based on the gradient of each pixel point; screen and obtain multiple final contour points from the multiple candidate contour points; and obtain at least one vehicle contour based on the multiple final contour points.

[0087] In a possible implementation, the vehicle accident map processing device of the vehicle insurance claim system further includes: a determination module, which is used to: determine a plurality of candidate contour points according to the gradient of each pixel point by a non-maximum suppression method.

[0088] In a possible implementation, the vehicle accident map processing device of the vehicle insurance claim system further includes: a screening module, which is used to: determine all contour points that meet the screening conditions among the multiple candidate contour points as multiple final contour points.

[0089] In a possible implementation, the screening condition is: the gradient corresponding to any candidate contour point is greater than a first threshold, or the gradient corresponding to any candidate contour point is less than the first threshold but greater than a second threshold, and the gradient corresponding to the contour points adjacent to any candidate contour point is greater than the first threshold.

[0090] The vehicle accident image processing device of the motor vehicle insurance claims system provided in this embodiment can execute the vehicle accident image processing method of the motor vehicle insurance claims system provided in the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be described in detail here.

[0091] Figure 4 The hardware structure diagram of the server provided in the embodiment of the present application is shown in FIG. Figure 4 As shown, the server provided in this embodiment includes: at least one processor 401 and a memory 402. Optionally, the server also includes a communication component 403. The processor 401, the memory 402 and the communication component 403 are connected via a bus 404.

[0092] In a specific implementation process, at least one processor 401 executes the computer-executable instructions stored in the memory 402, so that at least one processor 401 executes the above method.

[0093] The specific implementation process of the processor 401 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0094] In the above embodiments, it should be understood that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the invention can be directly implemented as a hardware processor, or can be implemented by a combination of hardware and software modules in the processor.

[0095] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0096] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0097] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the vehicle accident map processing method of the above-mentioned motor vehicle insurance claim system.

[0098] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the vehicle accident map processing method of the above-mentioned motor vehicle insurance claims system is implemented.

[0099] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0100] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0101] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0102] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0103] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0104] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0105] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0106] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A vehicle accident graph processing method for a motor vehicle insurance claim system, characterized in that: Applicable to servers, including: receiving a vehicle accident image sent by an image capturing device; Detecting the vehicle accident graph, and detecting a plurality of vehicles from the vehicle accident graph; Identify the wear and tear area of ​​each vehicle, segment the wear and tear area of ​​each vehicle from the vehicle accident map, and obtain a wear and tear area map of each vehicle; Marking the wear and tear area of ​​each vehicle in the vehicle accident map to obtain a vehicle accident map with the wear and tear area marked; Compressing the loss area map of each vehicle to obtain a compressed loss area map of each vehicle; Compressing the vehicle accident map indicating the wear and tear area to obtain a compressed vehicle accident map indicating the wear and tear area; When a request for viewing the vehicle accident map sent by the claims adjuster terminal to the motor vehicle insurance claims system is received, the compressed loss area map of each vehicle and the compressed vehicle accident map indicating the loss area are sent to the claims adjuster terminal, so that the claims adjuster terminal can view the compressed loss area map of each vehicle and the compressed vehicle accident map indicating the loss area.

2. The method according to claim 1, characterized in that The detecting the vehicle accident graph and detecting a plurality of vehicles from the vehicle accident graph includes: acquiring at least one vehicle profile from the vehicle accident map; The at least one vehicle outline is enhanced to detect the plurality of vehicles.

3. The method according to claim 2, characterized in that The acquiring at least one vehicle profile from the vehicle accident map comprises: Calculate the gradient of each pixel in the vehicle accident map; Determine a plurality of candidate contour points according to the gradient of each pixel point; Filtering and obtaining a plurality of final contour points from the plurality of candidate contour points; The at least one vehicle contour is obtained according to the plurality of final contour points.

4. The method according to claim 3, characterized in that Determining a plurality of candidate contour points according to the gradient of each pixel point includes: The plurality of candidate contour points are determined according to the gradient of each pixel point by a non-maximum suppression method.

5. The method according to claim 3, characterized in that: The step of screening the plurality of candidate contour points to obtain a plurality of final contour points comprises: All contour points that meet the screening condition among the plurality of candidate contour points are determined as the plurality of final contour points.

6. The method according to claim 5, characterized in that The screening conditions are: The gradient corresponding to any candidate contour point is greater than the first threshold. Or the gradient corresponding to any one of the candidate contour points is smaller than the first threshold but larger than a second threshold, and the gradient corresponding to the contour points adjacent to any one of the candidate contour points is larger than the first threshold.

7. A vehicle accident graph processing device for a vehicle insurance claim system, characterized in that: Applicable to servers, including: A receiving module, used for receiving a vehicle accident image sent by an image capturing device; A detection module, used to detect the vehicle accident map, and detect multiple vehicles from the vehicle accident map; A first acquisition module is used to identify the wear and tear area of ​​each vehicle, segment the wear and tear area of ​​each vehicle from the vehicle accident map, and obtain a wear and tear area map of each vehicle; A second acquisition module is used to mark the wear and tear area of ​​each vehicle in the vehicle accident map to obtain a vehicle accident map with the wear and tear area marked; A compression module, used for compressing the loss area map of each vehicle to obtain a compressed loss area map of each vehicle; A third acquisition module is used to compress the vehicle accident map indicating the wear and tear area to obtain a compressed vehicle accident map indicating the wear and tear area; A sending module is used to send the compressed loss area map of each vehicle and the compressed vehicle accident map indicating the loss area to the claims adjuster terminal when receiving a request for viewing the vehicle accident map sent by the claims adjuster terminal to the motor vehicle insurance claims system, so that the claims adjuster terminal can view the compressed loss area map of each vehicle and the compressed vehicle accident map indicating the loss area.

8. A server, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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