CN113781454B

CN113781454B - Vehicle damage detection method, device, equipment and storage medium

Info

Publication number: CN113781454B
Application number: CN202111081288.6A
Authority: CN
Inventors: 杨逸曦
Original assignee: Ping An Technology Shenzhen Co Ltd
Current assignee: Ping An Technology Shenzhen Co Ltd
Priority date: 2021-09-15
Filing date: 2021-09-15
Publication date: 2023-09-08
Anticipated expiration: 2041-09-15
Also published as: CN113781454A

Abstract

The invention relates to the field of artificial intelligence, and discloses a vehicle damage detection method, device, equipment and storage medium. The method comprises the following steps: receiving an object image to be detected, which is sent by a target user through terminal equipment, wherein the object image to be detected is a vehicle image to be detected or a part image to be detected; determining the type of the object to be detected according to the image of the object to be detected, and acquiring the geographic area of the object to be detected; and acquiring target damage object association information matched with the object image to be detected according to the type of the object to be detected, the geographical area and the object image to be detected, determining the matched damage level, maintenance scheme, maintenance pricing and insurance claim scheme, and feeding back to the terminal equipment. According to the embodiment of the invention, the information such as the damage level of the damaged vehicle with similar damage conditions or the damaged part with similar damage conditions can be automatically fed back to the user according to the image of the vehicle to be detected or the image of the part to be detected.

Description

Vehicle damage detection method, device, equipment and storage medium

Technical Field

The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a vehicle damage detection method, device, equipment and storage medium.

Background

With the development of society and the improvement of living standard, the role played by automobiles in the current society is more and more important, and every family starts to own automobiles. As the amount of the vehicle stored increases, the occurrence frequency of the vehicle accident becomes higher and higher.

In the related art, after an accident of a vehicle, a damage level of the vehicle or parts, a maintenance scheme, a maintenance pricing, and a insurance reimbursement scheme are generally determined empirically by insurance fighters and maintenance personnel.

The related art has the following drawbacks: for insurance damage fighters and maintenance personnel, the difficulty of the hands is high, and a certain experience is needed to accurately determine the damage level, maintenance scheme, maintenance pricing and insurance reimbursement scheme of the vehicle or parts; for the car owners, not every car owner has the palm, and the car owners cannot judge whether the information such as the damage level, the maintenance scheme, the maintenance pricing, the insurance pay scheme and the like of the vehicles or parts provided by the insurance loss fighter and the maintenance personnel is accurate or reasonable, and the rights and interests of the car owners are damaged under the condition of meeting the insurance loss fighter and the maintenance personnel which violate the career; for the insurance platform, it cannot be guaranteed that each insurance loss fighter can obey the professional morals, it cannot be determined whether the insurance loss fighter and a cooperative repair shop have unreasonable private transactions, so as to obtain a balance rebate, etc., and the insurance platform cannot obtain real and accurate repair pricing.

Disclosure of Invention

The embodiment of the invention provides a vehicle damage detection method, device, equipment and storage medium, which can automatically determine a damaged vehicle similar to the damage condition of a vehicle to be detected or a damaged part similar to the damage condition of the part to be detected in a geographic area or a peripheral area where the vehicle to be detected is located according to the image of the vehicle to be detected or the image of the part to be detected, and feed back the damage level, maintenance scheme, maintenance pricing and insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected to a user so that the user can refer to the damage level, maintenance scheme, maintenance pricing and insurance claim scheme of the damaged vehicle similar to the damage condition or the damaged part to be detected to carry out subsequent maintenance and insurance claim processing of the vehicle to be detected or the part to be detected.

In a first aspect, an embodiment of the present invention provides a vehicle damage detection method, including:

receiving an image of an object to be detected, which is sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected;

Determining the type of an object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected;

acquiring target damage object associated information matched with the to-be-detected object image from damage object associated information stored in a preset damage condition database according to the type of the to-be-detected object, the geographical area and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold;

determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object related information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the to-be-detected object image;

And feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

In a second aspect, an embodiment of the present invention further provides a vehicle damage detection device, including:

the image receiving module is used for receiving an image of an object to be detected, which is sent by a target user through the terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected;

the first information determining module is used for determining the type of the object to be detected according to the image of the object to be detected, and acquiring the geographic area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected;

the first information matching module is used for acquiring target damage object associated information matched with the to-be-detected object image from damage object associated information stored in a preset damage condition database according to the type of the to-be-detected object, the geographical area and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold;

The first detection result determining module is used for determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object related information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected;

and the first detection result feedback module is used for feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

In a third aspect, an embodiment of the present invention further provides a computer apparatus, including:

one or more processors;

storage means for storing one or more computer programs;

the vehicle damage detection method according to the embodiment of the present invention is implemented when the one or more computer programs are executed by the one or more processors, so that the one or more processors execute the computer programs.

In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements a vehicle damage detection method according to an embodiment of the present invention.

According to the technical scheme, the object image to be detected, which is sent by the target user through the terminal equipment, is received and is the vehicle image to be detected or the part image to be detected; then determining the type of the object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; obtaining target damage object associated information matched with the to-be-detected object image from damage object associated information stored in a preset damage condition database according to the type, the geographical area and the to-be-detected object image of the to-be-detected object; then determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected; finally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected are fed back to the terminal equipment, the damage level, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected in the geographic area or the peripheral area where the vehicle to be detected is located can be automatically determined by matching the type, the geographic area and the image of the damaged part in the geographic area or the peripheral area where the vehicle to be detected is located with the type, the geographic area and the image of the damaged part similar to the damage condition of the vehicle to be detected in the geographic area or the peripheral area where the vehicle to be detected is located, the damage level, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected can be fed back to a user, so that the user can refer to the damage level, the maintenance pricing and the insurance claim scheme of the damaged vehicle or the damaged part similar to the damage condition of the vehicle to be detected, the damaged part to be detected in the geographic area or the peripheral area where the damaged part to be detected is located, the damaged part similar to the damaged condition of the damaged part to be detected is located, and the damaged part to be detected is detected.

For users such as insurance fighters, maintenance personnel and the like, years of experience is not needed, and only images of the vehicle to be detected or the parts to be detected are sent to a server, so that the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged parts similar to the damage condition of the parts to be detected fed back by the server can be obtained, and the subsequent maintenance and insurance claim processing of the vehicle to be detected or the parts to be detected can be performed by referring to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged parts similar to the damage condition of the parts to be detected.

For the owner user, only the image of the vehicle to be detected or the part to be detected is sent to the server, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected fed back by the server can be obtained, so that the number of people in mind can be achieved, whether the information such as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the vehicle or the part provided by the insurance claims fighter and the maintenance staff is accurate or reasonable is judged, and the own rights and interests are maintained without being damaged under the condition of encountering the insurance claims fighter and the maintenance staff which violate the professional moral.

For the insurance platform, the image of the vehicle to be detected or the parts to be detected is real and can not be tampered, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme are also determined according to the real damage condition of the vehicle and the parts, and the maintenance pricing is transparent, so that a series of related personnel can be restrained.

Drawings

Fig. 1 is a flowchart of a vehicle damage detection method according to an embodiment of the present invention.

Fig. 2 is a flowchart of a vehicle damage detection method according to a second embodiment of the present invention.

Fig. 3 is a schematic structural diagram of a vehicle damage detection device according to a third embodiment of the present invention.

Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.

Detailed Description

The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof.

It should be further noted that, for convenience of description, only some, but not all of the matters related to the present invention are shown in the accompanying drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Example 1

Fig. 1 is a flowchart of a vehicle damage detection method according to an embodiment of the present invention. The method can be applied to the situation of determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the vehicle or parts after the accident of the vehicle, and can be executed by the vehicle damage detection device provided by the embodiment of the invention, and the device can be realized in a software and/or hardware mode and can be generally integrated in computer equipment. Such as a server.

As shown in fig. 1, the method in the embodiment of the present invention specifically includes:

step 101, receiving an image of an object to be detected, which is sent by a target user through a terminal device, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected.

Alternatively, the target user may be an insurance loss fighter, a serviceman or a vehicle owner. And the target user shoots the image of the vehicle to be detected or the image of the part to be detected through the terminal equipment, and sends the image of the vehicle to be detected or the image of the part to be detected to the server.

Optionally, the vehicle image to be detected includes an image obtained by photographing the vehicle to be detected from each preset azimuth of the vehicle to be detected. The vehicle to be detected is a vehicle which needs to be subjected to damage detection after an accident occurs. The preset orientations include, but are not limited to: front, left side, left rear, front rear, right side, and right front.

Optionally, the part image to be inspected includes a top view, a front view, a rear view, a left view, and a right view of the part to be inspected. The parts to be detected are vehicle parts which need to be damaged after an accident occurs.

Step 102, determining the type of the object to be detected according to the image of the object to be detected, and obtaining the geographical area where the object to be detected is located, wherein the object to be detected is a vehicle to be detected or a part to be detected.

Optionally, the image of the object to be detected is an image of a vehicle to be detected; the determining the type of the object to be detected according to the image of the object to be detected and obtaining the geographic area of the object to be detected comprises the following steps: performing optical character recognition (Optical Character Recognition, OCR) on the vehicle image to be detected, acquiring a vehicle identification number in the vehicle image to be detected, and determining the vehicle type of the vehicle to be detected according to the vehicle identification number; and acquiring the geographical area of the vehicle to be detected.

Optionally, the vehicle identification number (Vehicle Identification Number, VIN) is a unique set of seventeen letters or numbers for use on the vehicle to identify the model, manufacturer, engine, chassis number and other performance information of the vehicle. The preset position of the vehicle body is provided with a vehicle identification number. The vehicle identification number contains a vehicle type code, and the vehicle type of the vehicle can be determined according to the vehicle type code in the vehicle identification number of the vehicle.

Optionally, a vehicle identification number is set at a preset position of the vehicle body to be detected. The vehicle image to be detected comprises images obtained by shooting the vehicle to be detected from each preset azimuth of the vehicle to be detected. The preset orientations include, but are not limited to: front, left side, left rear, front rear, right side, and right front. An image of the vehicle to be detected, which is obtained by shooting the vehicle to be detected from a certain preset azimuth of the vehicle to be detected, contains a vehicle identification number of the vehicle to be detected. Illustratively, the vehicle to be detected is provided with a vehicle identification number under the front windshield. The image of the vehicle to be detected, which is obtained by shooting the vehicle to be detected from the right front of the vehicle to be detected, contains a vehicle identification number.

Optionally, optical character recognition is performed on images, which are included in the images of the vehicles to be detected and obtained by photographing the vehicles to be detected from each preset azimuth of the vehicles to be detected, sequentially until the vehicle identification number of the vehicles to be detected is obtained, and then the vehicle type of the vehicles to be detected is determined according to the vehicle type code in the vehicle identification number of the vehicles to be detected.

Optionally, acquiring the geographic area of the vehicle to be detected includes: the server sends a position acquisition instruction to the terminal equipment of the target user so that the terminal equipment of the target user sends the current position of the terminal equipment to the server; and the server determines the geographical area of the current position as the geographical area of the vehicle to be detected.

The position acquisition instruction is an instruction for acquiring the current position of the terminal device. The current position of the terminal device may be the longitude and latitude position of the terminal device at the current moment. And the target user sends the image of the vehicle to be detected through the terminal equipment. Thus, the terminal device of the target user should be located in the same geographical area as the vehicle to be detected at the present moment. The geographic area to which the current position of the terminal device belongs is the same as the geographic area to which the vehicle to be detected belongs.

Optionally, the object image to be detected is a part image to be detected; the determining the type of the object to be detected according to the image of the object to be detected and obtaining the geographic area of the object to be detected comprises the following steps: performing optical character recognition on the part image to be detected, acquiring part identifiers in the part image to be detected, and determining part types of the parts to be detected according to the part identifiers; and obtaining the geographical area of the part to be detected.

Optionally, part identifiers are arranged at preset positions on the surfaces of the parts. The part identifier is used to indicate the part type of the part.

Optionally, a part identifier is arranged at a preset position on the surface of the part to be detected. The part image to be inspected includes a top view, a front view, a rear view, a left view, and a right view of the part to be inspected. The part identification of the part to be detected is contained in any one of the top view, front view, rear view, left view and right view of the part to be detected. Illustratively, the front face of the part to be inspected is provided with a part identifier. The front view of the part to be detected comprises the part identification of the part to be detected.

Optionally, optical character recognition is sequentially performed on top view, front view, rear view, left view and right view of the part to be detected included in the part to be detected image until the part identifier of the part to be detected is obtained, and then the part type of the part to be detected is determined according to the part identifier of the part to be detected.

Optionally, obtaining the geographical area where the part to be detected is located includes: the server sends a position acquisition instruction to the terminal equipment of the target user so that the terminal equipment of the target user sends the current position of the terminal equipment to the server; and the server determines the geographical area of the current position as the geographical area of the part to be detected.

The position acquisition instruction is an instruction for acquiring the current position of the terminal device. The current position of the terminal device may be the longitude and latitude position of the terminal device at the current moment. And the target user sends the image of the part to be detected through the terminal equipment. Therefore, the terminal device of the target user should be located in the same geographical area as the component to be detected at the present moment. The geographic area of the current position of the terminal equipment is the same as the geographic area of the part to be detected.

And step 103, acquiring target damage object associated information matched with the to-be-detected object image from damage object associated information stored in a preset damage condition database according to the type of the to-be-detected object, the geographical area and the to-be-detected object image.

The type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold;

Optionally, the damage object association information stored in the preset damage condition database includes: damaged vehicle-related information and damaged part-related information; the damaged object in the damaged vehicle related information is a damaged vehicle, the type of the damaged object is the type of the damaged vehicle, and the geographic area where the damaged object is located is the geographic area where the damaged vehicle is located; the damage object in the damage part association information is a damage part, the type of the damage object is the part type of the damage part, and the geographic area where the damage object is located is the geographic area where the damage part is located.

Optionally, the preset damage condition database is a database for storing a large amount of damaged vehicle related information and damaged part related information. The damaged vehicle-related information is information related to a damaged condition, a maintenance process, and an insurance claim process of the damaged vehicle. A damaged vehicle is a vehicle that has determined the level of damage, maintenance schedule, maintenance pricing, and insurance reimbursement schedule after the vehicle has been involved in an accident, and successfully completed maintenance and insurance reimbursement processing. The damaged part related information is information related to the damaged condition of the damaged part, the maintenance processing procedure, and the insurance claim processing procedure. Damaged components after an accident in a vehicle, the damage level, repair plan, repair pricing, and insurance reimbursement plan have been determined, and the repair and insurance claim processing of the vehicle components is successfully completed.

Optionally, the method further comprises: acquiring a set number of damaged vehicle related information and damaged part related information, and storing each damaged vehicle related information and each damaged part related information into a preset damage condition database; wherein each damaged vehicle-related information at least includes: images of damaged vehicles, three-dimensional models, vehicle models, geographical areas where the vehicles are located, damage levels, maintenance schemes, maintenance pricing and insurance reimbursement schemes; each damaged part associated information at least comprises: images of damaged parts, three-dimensional models, part types, geographic region where they are located, damage level, repair plan, repair pricing, and insurance reimbursement plan.

Optionally, the image of the damaged vehicle includes an image obtained by photographing the damaged vehicle from each preset azimuth of the damaged vehicle. The preset orientations include, but are not limited to: front, left side, left rear, front rear, right side, and right front.

Optionally, the image of the damaged part includes a top view, a front view, a rear view, a left view, a right view of the damaged part.

Alternatively, the vehicle type of the damaged vehicle is a car type of the damaged vehicle. The type of the damaged part is the type of the damaged part. The individual components of the vehicle may be classified into different types according to the mounting positions or functions of the components in advance. Parts with different installation positions or functions correspond to different types.

Alternatively, the three-dimensional model of the damaged vehicle may be a three-dimensional model obtained by scanning the damaged vehicle through a three-dimensional graphic scanning tool (3D Scanner or the like). The three-dimensional model of the damaged part may be a three-dimensional model obtained by scanning the damaged part with a three-dimensional graphics scanning tool (3D Scanner or the like).

Alternatively, the geographic area in which the damaged vehicle is located may be the geographic area in which the damaged vehicle is located. The geographic area may be a city. For example, a city in which the damaged vehicle is located. The geographic area in which the damaged part is located may be the geographic area in which the vehicle to which the damaged part belongs. For example, the city in which the damaged part belongs to the vehicle.

Optionally, the damage level of the damaged vehicle may be a damage level determined after the damaged vehicle is detected by the manual detection platform, or may be a damage level determined after the damaged vehicle is detected according to a preset damage level. The damage level of the damaged part can be the damage level determined after the damaged part is detected by the manual detection platform, and also can be the damage level determined after the damaged part is detected according to the preset damage level.

Optionally, the repair plan, repair pricing, insurance reimbursement plan for the damaged vehicle or damaged part is an actual repair plan, actual repair pricing, actual insurance reimbursement plan for the damaged vehicle or damaged part. The insurance claim scheme may include: and (5) settling the amount of the claim.

Optionally, obtaining the set number of damaged vehicle related information includes: transmitting data authority inquiry information to terminal equipment of a vehicle owner user of each damaged vehicle, so that each terminal equipment displays the data authority inquiry information to each vehicle owner user through an inquiry information display page; the data authority inquiry information is inquiry information for inquiring whether each owner user grants acquisition authority of damaged vehicle related information of the damaged vehicle to the server; and when confirming that each vehicle owner user grants the server with the acquisition right of the damaged vehicle related information of the damaged vehicle according to the interactive operation of each vehicle owner user and the inquiry information display page, acquiring the damaged vehicle related information of each damaged vehicle until the set quantity of damaged vehicle related information is acquired.

Optionally, the set number may be set according to the service requirement. The set number is 2000, for example.

Optionally, the server sends data authority inquiry information to terminal devices of owner users of the damaged vehicles. When receiving the data authority inquiry information, each terminal device displays an inquiry information display page containing the data authority inquiry information, and displays the data authority inquiry information to each vehicle owner user through the inquiry information display page. The inquiry information presentation page is a page for presenting inquiry information to a user.

Optionally, a confirm authorization control and a reject authorization control are set in the inquiry information display page. Each owner user can confirm the acquisition permission granted to the server for the damaged vehicle associated information of the damaged vehicle by clicking a confirmation authorization control. And each vehicle owner user can also confirm that the server is not granted the acquisition authority of the damaged vehicle associated information of the damaged vehicle by clicking the refusal authorization control.

Optionally, each terminal device generates authorization confirmation prompt information and sends the authorization confirmation prompt information to the server when each vehicle owner user clicks the confirmation authorization control. The authorization confirmation prompt information is information for prompting the owner of the vehicle to confirm that the server grants acquisition permission to the damaged vehicle related information of the damaged vehicle. When the server receives the authorization confirmation prompt information, the owner user is confirmed to grant the acquisition authority of the damaged vehicle related information of the damaged vehicle to the server, and the damaged vehicle related information of the damaged vehicle is acquired through the terminal equipment.

Optionally, each terminal device generates authorization rejection prompt information to be sent to the server when each owner user clicks the authorization rejection control. The authorization refusal prompt information is information for prompting the user of the server vehicle owner to confirm that acquisition permission of damaged vehicle related information of the damaged vehicle is not granted to the server. When the server receives the authorization refusing prompt information, the owner user is confirmed not to grant the acquisition permission of the damaged vehicle associated information of the damaged vehicle to the server, and the subsequent data acquisition operation is not executed.

Optionally, collecting damaged vehicle related information of each damaged vehicle includes: the server controls terminal equipment of owner users of all damaged vehicles and provides a damaged vehicle associated information acquisition page for all owner users. The damaged vehicle related information acquisition page is a page for acquiring damaged vehicle related information of a damaged vehicle, and each vehicle owner user can input the damaged vehicle related information of the damaged vehicle on the damaged vehicle related information acquisition page. And each terminal device acquires the damaged vehicle related information input by each vehicle owner user on the characteristic data acquisition page and sends the damaged vehicle related information to the server.

Optionally, collecting damaged vehicle related information of each damaged vehicle includes: the server controls terminal equipment of a vehicle owner user of each damaged vehicle, acquires damaged vehicle related information of each damaged vehicle from vehicle history information stored in each terminal equipment, and sends the damaged vehicle related information to the server. The vehicle history information stored in the terminal device is information associated with the damaged vehicle stored in the terminal device.

Therefore, the embodiment of the invention can collect enough damaged vehicle associated information on the premise of fully respecting and protecting the personal privacy and personal information of the user.

Optionally, obtaining the set number of damaged part association information includes: transmitting data authority inquiry information to terminal equipment of the owner user of each damaged part, so that each terminal equipment displays the data authority inquiry information to each owner user through an inquiry information display page; the data authority inquiry information is used for inquiring whether each vehicle owner user grants acquisition authority of the damage part associated information of the damage part to the server; and when confirming that each vehicle owner user grants the server with the acquisition right of the damaged part associated information of the damaged part according to the interactive operation of each vehicle owner user and the inquiry information display page, acquiring the damaged part associated information of each damaged part until the set number of damaged part associated information is acquired.

Optionally, the server sends data authority inquiry information to terminal devices of owner users of the damaged parts. When receiving the data authority inquiry information, each terminal device displays an inquiry information display page containing the data authority inquiry information, and displays the data authority inquiry information to each vehicle owner user through the inquiry information display page. The inquiry information presentation page is a page for presenting inquiry information to a user.

Optionally, a confirm authorization control and a reject authorization control are set in the inquiry information display page. Each car owner user can confirm the acquisition permission of the damaged part associated information of the damaged part for the server by clicking the confirmation authorization control. And each vehicle owner user can also confirm that the server is not granted the acquisition permission of the damaged part associated information of the damaged part by clicking the refusal authorization control.

Optionally, each terminal device generates authorization confirmation prompt information and sends the authorization confirmation prompt information to the server when each vehicle owner user clicks the confirmation authorization control. The authorization confirmation prompt information is information for prompting a user of the vehicle owner of the server to confirm acquisition permission granted to the damaged part related information of the damaged part by the server. When the server receives the authorization confirmation prompt information, the owner user is confirmed to grant the acquisition permission of the damaged part associated information of the damaged part to the server, and the damaged part associated information of the damaged part is acquired through the terminal equipment.

Optionally, each terminal device generates authorization rejection prompt information to be sent to the server when each owner user clicks the authorization rejection control. The authorization refusal prompt information is information for prompting the owner of the server to confirm that the acquisition permission of the damaged part associated information of the damaged part is not granted to the server. When the server receives the authorization refusing prompt information, the owner user is confirmed not to grant the acquisition permission of the damaged part associated information of the damaged part to the server, and the subsequent data acquisition operation is not executed.

Optionally, collecting damage part association information of each damage part includes: the server controls terminal equipment of the owner user of each damaged part and provides a damaged part associated information acquisition page for each owner user. The damaged part associated information collection page is a page for collecting damaged part associated information of the damaged part, and each vehicle owner user can input the damaged part associated information of the damaged part on the damaged part associated information collection page. And each terminal device acquires the damaged part associated information input by each vehicle owner user on the characteristic data acquisition page and sends the damaged part associated information to the server.

Optionally, collecting damage part association information of each damage part includes: the server controls terminal equipment of the vehicle owner user of each damaged part, acquires damaged part related information of each damaged part from part history information stored in each terminal equipment, and sends the damaged part related information to the server. The part history information stored in the terminal device is information associated with the damaged part stored in the terminal device.

Therefore, the embodiment of the invention can collect enough damage part associated information on the premise of fully respecting and protecting the personal privacy and personal information of the user.

Optionally, storing each damaged vehicle related information in a preset damage condition database includes: grouping the damaged vehicle associated information according to the geographical areas to obtain a plurality of damaged vehicle information groups, wherein the geographical areas of the damaged vehicle associated information in the damaged vehicle information groups are the same; aiming at each damaged vehicle information group, grouping the damaged vehicle related information in the damaged vehicle information groups according to the vehicle type to obtain a plurality of damaged vehicle information subgroups, wherein the geographic area of the damaged vehicle related information in each damaged vehicle information subgroup is the same as the vehicle type; and storing each damaged vehicle information group into a preset damage condition database.

Optionally, storing the damage part association information in a preset damage condition database, including: grouping the damaged part associated information according to the geographical area to obtain a plurality of damaged part information groups, wherein the geographical area of each damaged part associated information in each damaged part information group is the same; for each damaged part information group, grouping the related information of each damaged part in the damaged part information group according to part types to obtain a plurality of damaged part information subgroups, wherein the geographic area of each damaged part in each damaged part information subgroup is the same as the part type; and storing each damaged part information group into a preset damage condition database.

Therefore, the embodiment of the invention can acquire the damaged vehicle related information and the damaged part related information with set quantity, groups and stores the damaged vehicle related information according to the geographic area and the vehicle type, groups and stores the damaged part related information according to the geographic area and the part type, and thus establishes a damaged condition database containing the damaged vehicle related information of different vehicle types in each geographic area and the damaged part related information of different part types in each geographic area.

Optionally, the image of the object to be detected is an image of a vehicle to be detected; the obtaining, according to the type of the object to be detected, the geographical area where the object to be detected is located, and the object image to be detected, target object association information matched with the object image to be detected from the object association information stored in a preset damage condition database, includes: acquiring a target damaged vehicle information group corresponding to the type of the vehicle to be detected and the geographical area where the vehicle to be detected is located from a preset damaged condition database; the vehicle type of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the vehicle type of the vehicle to be detected, and the geographic area of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the geographic area of the vehicle to be detected or the distance between the geographic area of each damaged vehicle related information and the geographic area of the vehicle to be detected is smaller than a preset distance threshold; respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group; and if a first target image with the similarity between the first target image and the vehicle image to be detected being greater than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target image belongs as target damaged object associated information matched with the vehicle image to be detected.

Optionally, if there is no first target image with the similarity between the first target image and the to-be-detected vehicle image being greater than a preset similarity threshold, the to-be-detected vehicle image is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme matched with the to-be-detected vehicle image.

Optionally, obtaining, in a preset damage condition database, a target damage vehicle information group corresponding to a vehicle type of the vehicle to be detected and a geographical area where the vehicle to be detected is located, including: inquiring the damaged vehicle information subgroups in the damaged vehicle associated information in the subgroups, wherein the vehicle type in the damaged vehicle associated information in the subgroups is the same as the vehicle type of the vehicle to be detected, and the geographic area of the damaged vehicle associated information in the subgroups is the same as the geographic area of the vehicle to be detected; if the vehicle type of each damaged vehicle associated information in the subgroup is the same as the vehicle type of the vehicle to be detected and the geographic area of each damaged vehicle associated information in the subgroup is the same as the damaged vehicle information subgroup of the geographic area of the vehicle to be detected, determining the damaged vehicle information subgroup as a target damaged vehicle information subgroup corresponding to the vehicle type and the geographic area of the vehicle to be detected; if the vehicle type in the related information of each damaged vehicle in the subgroup is not inquired to be the same as the vehicle type of the vehicle to be detected, and the geographic area of the related information of each damaged vehicle in the subgroup is the same as the geographic area of the vehicle to be detected, inquiring the vehicle type in the related information of each damaged vehicle in the subgroup to be the same as the vehicle type of the vehicle to be detected in each damaged vehicle information subgroup in a preset damaged condition database, wherein the distance between the geographic area of the related information of each damaged vehicle in the subgroup and the geographic area of the vehicle to be detected is smaller than a preset distance threshold; and if the vehicle type in the related information of each damaged vehicle in the subgroup is the same as the vehicle type of the vehicle to be detected, and the distance between the geographic area of each damaged vehicle in the subgroup and the geographic area of the vehicle to be detected is smaller than the damaged vehicle information subgroup with the preset distance threshold, determining the damaged vehicle information subgroup as a target damaged vehicle information subgroup corresponding to the vehicle type of the vehicle to be detected and the geographic area of the vehicle to be detected.

Optionally, the distance between the geographical area of each damaged vehicle associated information and the geographical area of the vehicle to be detected may be the distance between the center point coordinate of the geographical area of each damaged vehicle associated information and the center point coordinate of the geographical area of the vehicle to be detected.

Optionally, a preset distance threshold is set according to the service requirement. The distance between the geographic area in the damaged vehicle associated information and the geographic area of the vehicle to be detected is smaller than a preset distance threshold, namely the geographic area in the damaged vehicle associated information is the surrounding area of the geographic area of the vehicle to be detected.

Optionally, if the vehicle type in the related information of each damaged vehicle in the subgroup is not queried to be the same as the vehicle type of the vehicle to be detected, and the distance between the geographical area of each damaged vehicle in the subgroup and the geographical area of the vehicle to be detected is smaller than the damaged vehicle information subgroup of the preset distance threshold, determining that the target damaged vehicle information subgroup corresponding to the vehicle type and the geographical area of the vehicle to be detected does not exist in the preset damage condition database, and sending the image of the vehicle to be detected to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the vehicle to be detected.

Optionally, the manual inspection platform is a platform for manually determining a damage level, a maintenance scheme, a maintenance pricing, and an insurance claim scheme of the vehicle or the component to be inspected. And the server sends the vehicle image to be detected to a manual detection platform. The manual detection platform provides the vehicle image to be detected for detection personnel, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance reimbursement scheme which are determined by the detection personnel according to the vehicle image to be detected and are matched with the vehicle image to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance reimbursement scheme which are matched with the vehicle image to be detected to a server.

Optionally, the image of the vehicle to be detected includes images obtained by photographing the vehicle to be detected from the front, the front left, the side left, the rear right, the side right and the front right. The image of the damaged vehicle in the damaged vehicle-related information includes images obtained by capturing images of the damaged vehicle from the front, the front left, the side left, the rear right, the side right, and the front right. Calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in each damaged vehicle associated information in the target damaged vehicle information group respectively, wherein the method comprises the following steps: for an image of a damaged vehicle in each damaged vehicle-related information in the target damaged vehicle information team, performing the following: calculating the similarity between an image obtained by shooting a vehicle to be detected from the right front and an image obtained by shooting a damaged vehicle from the right front, and obtaining a first similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the left front and an image obtained by shooting a damaged vehicle from the left front, and obtaining a second similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the left side and an image obtained by shooting a damaged vehicle from the left side, and obtaining a third similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the left rear and an image obtained by shooting a damaged vehicle from the left rear, and obtaining a fourth similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the right rear and an image obtained by shooting a damaged vehicle from the right rear, and obtaining a fifth similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the rear right and an image obtained by shooting a damaged vehicle from the rear right, and obtaining a sixth similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the right side and an image obtained by shooting a damaged vehicle from the right side, and obtaining a seventh similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the front right and an image obtained by shooting a damaged vehicle from the front right, and obtaining an eighth similarity; and determining average values of the first similarity, the second similarity, the third similarity, the fourth similarity, the fifth similarity, the sixth similarity, the seventh similarity and the eighth similarity as the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the damaged vehicle related information.

Optionally, a preset similarity threshold is set according to the service requirement. The first target image with the similarity larger than a preset similarity threshold value is an image of a damaged vehicle with higher similarity with the image of the vehicle to be detected. Illustratively, the preset similarity threshold is 0.9. The damaged vehicle related information to which the first target image belongs is damaged vehicle related information of a damaged vehicle similar to the damaged condition of the vehicle to be detected in the geographic area or the surrounding area where the vehicle to be detected is located.

Optionally, the object image to be detected is a part image to be detected; the obtaining, according to the type of the object to be detected, the geographical area where the object to be detected is located, and the object image to be detected, target object association information matched with the object image to be detected from the object association information stored in a preset damage condition database, includes: acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographical area where the part to be detected is located from a preset damage condition database; the type of the part in each damaged part associated information in the target damaged part information group is the same as the type of the part to be detected, and the geographic area in which each damaged part associated information in the target damaged part information group is located is the same as the geographic area in which the part to be detected is located or the distance between the geographic area in which the part to be detected is located is smaller than a preset distance threshold; respectively calculating the similarity between the part image to be detected and the image of the damaged part in the associated information of each damaged part in the target damaged part information group; and if a second target image with the similarity between the target image and the part image to be detected being greater than a preset similarity threshold exists, determining the damaged part associated information to which the second target image belongs as target damaged object associated information matched with the part image to be detected.

Optionally, if there is no second target image with a similarity greater than a preset similarity threshold, the part image to be detected is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, a maintenance pricing and an insurance claim scheme matched with the part image to be detected.

Optionally, obtaining, in a preset damage condition database, a target damage part information group corresponding to the part type of the part to be detected and the geographical area where the part to be detected is located, where the target damage part information group includes: inquiring a damaged part information subgroup in which the type of parts in the damaged part associated information in the subgroup is the same as the type of the parts to be detected and the geographic area of the damaged part associated information in the subgroup is the same as the geographic area of the parts to be detected in the preset damaged part information subgroup in the damage condition database; if the part type of each damaged part associated information in the subgroup is the same as the part type of the part to be detected, and the geographic area where each damaged part associated information in the subgroup is located is the same as the damaged part information subgroup of the geographic area where the part to be detected is located, determining the damaged part information subgroup as a target damaged part information subgroup corresponding to the part type of the part to be detected and the geographic area where the part to be detected is located; if the part type of each damaged part associated information in the subgroup is not inquired to be the same as the part type of the part to be detected, and the geographic area of each damaged part associated information in the subgroup is the same as the geographic area of the part to be detected, then in each damaged part information subgroup in the preset damage condition database, the part type of each damaged part associated information in the subgroup is inquired to be the same as the part type of the part to be detected, and the distance between the geographic area of each damaged part associated information in the subgroup and the geographic area of the part to be detected is smaller than the damage part information subgroup of the preset distance threshold; if the part type of each damaged part related information in the subgroup is the same as the part type of the part to be detected, and the distance between the geographic area of each damaged part related information in the subgroup and the geographic area of the part to be detected is smaller than the damaged part information subgroup with a preset distance threshold, determining the damaged part information subgroup as a target damaged part information subgroup corresponding to the part type of the part to be detected and the geographic area.

Optionally, the distance between the geographical area of each damaged part in the related information and the geographical area of the part to be detected may be the distance between the center point coordinate of the geographical area of each damaged part in the related information and the center point coordinate of the geographical area of the part to be detected.

Optionally, a preset distance threshold is set according to the service requirement. The distance between the geographic area in the damaged part association information and the geographic area of the part to be detected is smaller than a preset distance threshold, namely the geographic area in the damaged part association information is the peripheral area of the geographic area of the part to be detected.

Optionally, if the part type of each damaged part associated information in the subgroup is not queried to be the same as the part type of the part to be detected, and the distance between the geographical area of each damaged part associated information in the subgroup and the geographical area of the part to be detected is smaller than the damaged part information subgroup of the preset distance threshold, determining that the target damaged part information subgroup corresponding to the part type and the geographical area of the part to be detected does not exist in the preset damage condition database, and sending the part image to be detected to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the maintenance pricing scheme and the insurance claim scheme matched with the part image to be detected.

Optionally, the manual inspection platform is a platform for manually determining the damage level, the maintenance scheme, the maintenance pricing, and the insurance claim scheme of the part to be inspected or the part to be inspected. And the server sends the part image to be detected to a manual detection platform. The manual detection platform provides the part image to be detected for detection personnel, acquires a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme which are determined by the detection personnel according to the part image to be detected and matched with the part image to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are matched with the part image to be detected to a server.

Optionally, the part image to be inspected includes a top view, a front view, a rear view, a left view, and a right view of the part to be inspected. The image of the damaged part in the damaged part related information includes a top view, a front view, a rear view, a left view, and a right view of the damaged part. Calculating the similarity between the part image to be detected and the image of the damaged part in the damaged part associated information in each damaged part information group respectively, including: the following operations are executed for the image of the damaged part in the damaged part association information of each target damaged part information group: calculating the similarity between the top view of the part to be detected and the top view of the damaged part to obtain a ninth similarity; calculating the similarity between the front view of the part to be detected and the front view of the damaged part to obtain tenth similarity; calculating the similarity between the rear view of the part to be detected and the rear view of the damaged part to obtain eleventh similarity; calculating the similarity between the left view of the part to be detected and the left view of the damaged part to obtain twelfth similarity; calculating the similarity between the right view of the part to be detected and the right view of the damaged part to obtain thirteenth similarity; and determining average values of the ninth similarity, the tenth similarity, the eleventh similarity, the twelfth similarity and the thirteenth similarity as the similarity between the part image to be detected and the damaged part image in the damaged part association information.

Optionally, a preset similarity threshold is set according to the service requirement. And the second target image with the similarity between the target image and the part image to be detected being larger than a preset similarity threshold value is an image of a damaged part with higher similarity to the part image to be detected. Illustratively, the preset similarity threshold is 0.9. The damaged part associated information to which the second target image belongs is damaged part associated information of a damaged part similar to the damaged condition of the part to be detected in the geographic region or the peripheral region where the part to be detected is located.

And 104, determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle in the target damaged object associated information matched with the to-be-detected vehicle image are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the to-be-detected vehicle image. The damaged vehicle in the target damaged object associated information matched with the to-be-detected vehicle image is a damaged vehicle similar to the vehicle damage condition of the to-be-detected vehicle in the geographic area or the surrounding area where the to-be-detected vehicle is located. The damage level, repair plan, repair pricing, and insurance reimbursement plan that match the image of the vehicle to be detected are those of a damaged vehicle that are similar to the vehicle damage condition of the vehicle to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged part in the target damage object associated information matched with the part image to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the part image to be detected. The damaged part in the target damaged object associated information matched with the part image to be detected is a damaged part similar to the damaged condition of the part to be detected in the geographic area or the peripheral area where the part to be detected is located. The damage level, repair plan, repair pricing, and insurance reimbursement plan that matches the part image to be inspected are damage levels, repair plans, repair pricing, and insurance reimbursement plans for damaged parts similar to the part damage condition for the part to be inspected.

And step 105, feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the to-be-detected vehicle image to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the to-be-detected vehicle image to the target user.

Optionally, the server transmits the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the part image to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the part image to be detected to the target user.

Optionally, after determining the part type of the part to be detected, the method further includes: collecting part suppliers and part quotations corresponding to the parts to be detected according to the types of the parts to be detected and the geographical areas where the parts to be detected are located; the parts supplier corresponding to the parts to be detected is a supplier for selling the parts with the same type as the parts to be detected in the geographical area of the parts to be detected, and the parts quotation corresponding to the parts to be detected is the price of the parts with the same type as the parts to be detected, which are sold in the geographical area of the parts to be detected; and feeding back the parts suppliers and parts quotations corresponding to the parts to be detected, and the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the parts to be detected image to the terminal equipment of the target user. Therefore, the embodiment of the invention can provide richer reference information for the repair and insurance claim settlement process of the parts to be detected.

Optionally, the method further comprises: and acquiring new damaged vehicle related information and damaged part related information, and storing the new damaged vehicle related information and the damaged part related information into a preset damage condition database. Therefore, the embodiment of the invention can continuously collect new damaged vehicle related information and damaged part related information and continuously perfect the data of the damaged condition database, so that the determined damaged vehicle or damaged part damage level, maintenance scheme, maintenance pricing and insurance claim scheme similar to the damaged condition of the vehicle or the part to be detected are more accurate.

The embodiment of the invention provides a vehicle damage detection method, which can automatically determine a damaged vehicle similar to the damage condition of a vehicle to be detected in a geographic area or a peripheral area where the vehicle to be detected is located by matching the type, the geographic area and the image of the damaged part in the geographic area or the peripheral area where the vehicle to be detected is located, automatically determine the damaged part similar to the damage condition of the part to be detected in the geographic area or the peripheral area where the part to be detected is located, and can feed back the damage level, the maintenance scheme, the maintenance pricing scheme and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected to a user, so that the user can refer to the damage level, the maintenance scheme, the maintenance pricing scheme and the insurance claim scheme of the damaged vehicle similar to the damage condition, and the damaged part to be detected, and the subsequent claims and the insurance claim processing of the vehicle to be detected or the part to be detected can be carried out.

The embodiment of the invention can acquire and process the information related to the damage condition of damaged vehicles and damaged parts, the maintenance processing process and the insurance claim processing process based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like.

Example two

Fig. 2 is a flowchart of a vehicle damage detection method according to a second embodiment of the present invention. Embodiments of the invention may be combined with various alternatives to one or more of the embodiments described above. As shown in fig. 2, the method in the embodiment of the present invention specifically includes:

step 201, receiving a three-dimensional model of an object to be detected, which is sent by a target user through a terminal device, wherein the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected.

Optionally, the three-dimensional model of the vehicle to be detected is a three-dimensional model of the vehicle to be detected. The vehicle to be detected is a vehicle which needs to be subjected to damage detection after an accident occurs. The three-dimensional model of the part to be detected is a three-dimensional model of the part to be detected. The parts to be detected are vehicle parts which need to be damaged after an accident occurs.

Optionally, the target user obtains the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected through an application program with a scanning function in the terminal equipment, and sends the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected to the server. The server receives a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected, which is sent by a target user through terminal equipment.

Optionally, the target user obtains the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected through an external three-dimensional graph scanning tool, such as a three-dimensional Scanner 3D Scanner, and sends the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected to the server. The server receives a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected, which is sent by a target user through terminal equipment.

Step 202, determining the type of the object to be detected according to the three-dimensional model of the object to be detected, and obtaining the geographic area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of the vehicle to be detected; the determining the type of the object to be detected according to the three-dimensional model of the object to be detected, and obtaining the geographic area of the object to be detected comprises the following steps: matching the three-dimensional model of the vehicle to be detected with three-dimensional models of vehicles of different types in a preset three-dimensional model library of the vehicle, determining a three-dimensional model of a target vehicle matched with the three-dimensional model of the vehicle to be detected, and determining the type of the three-dimensional model of the target vehicle as the type of the vehicle to be detected; and acquiring the geographical area of the vehicle to be detected.

Optionally, the method further comprises: generating three-dimensional models of vehicles of different vehicle types according to the vehicle design diagrams of the different vehicle types by using a three-dimensional graph scanning tool or three-dimensional graph modeling software; and storing the three-dimensional models of the vehicles of different vehicle types into a preset three-dimensional model library of the vehicles.

Therefore, the embodiment of the invention can establish the model library containing the vehicle three-dimensional models of different vehicle types, thereby being convenient for matching the vehicle three-dimensional model to be detected with the vehicle three-dimensional model of different vehicle types in the preset vehicle three-dimensional model library and determining the vehicle type of the vehicle to be detected.

Optionally, matching the three-dimensional model of the vehicle to be detected with three-dimensional models of vehicles of different vehicle types in a preset three-dimensional model library of vehicles, and determining a three-dimensional model of a target vehicle matched with the three-dimensional model of the vehicle to be detected, including: respectively calculating the similarity between the three-dimensional model of the vehicle to be detected and the three-dimensional models of different vehicle types in a preset three-dimensional model library of the vehicle; and determining the target vehicle three-dimensional model with the similarity larger than a preset similarity threshold value with the vehicle three-dimensional model to be detected as a target vehicle three-dimensional model matched with the vehicle three-dimensional model to be detected.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of the part to be detected; the determining the type of the object to be detected according to the three-dimensional model of the object to be detected, and obtaining the geographic area of the object to be detected comprises the following steps: matching the three-dimensional model of the part to be detected with three-dimensional models of parts of different types in a preset three-dimensional model library of the part to be detected, determining a target three-dimensional model matched with the three-dimensional model of the part to be detected, and determining the type of the part of the target three-dimensional model as the type of the part to be detected; and obtaining the geographical area of the part to be detected.

Optionally, the method further comprises: generating part three-dimensional models of different part types according to part design drawings of different part types by using a three-dimensional graph scanning tool or three-dimensional graph modeling software; and storing the part three-dimensional models of different part types into a preset part three-dimensional model library.

Therefore, the embodiment of the invention can establish the model library containing the three-dimensional models of the parts with different parts types, thereby being convenient for matching the three-dimensional model of the part to be detected with the three-dimensional model of the part with different parts types in the preset three-dimensional model library of the part to be detected and determining the type of the part to be detected.

Optionally, matching the to-be-detected part three-dimensional model with part three-dimensional models of different part types in a preset part three-dimensional model library, and determining a target part three-dimensional model matched with the to-be-detected part three-dimensional model, including: respectively calculating the similarity between the to-be-detected part three-dimensional model and part three-dimensional models of different part types in a preset part three-dimensional model library; and determining the target part three-dimensional model, the similarity between which and the to-be-detected part three-dimensional model is larger than a preset similarity threshold, as the target part three-dimensional model matched with the to-be-detected part three-dimensional model.

And 203, acquiring target damage object association information matched with the three-dimensional model of the object to be detected from damage object association information stored in a preset damage condition database according to the type of the object to be detected, the geographical area and the three-dimensional model of the object to be detected.

The type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the three-dimensional model of the damaged object and the three-dimensional model of the object to be detected is larger than a preset similarity threshold.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of the vehicle to be detected; the obtaining target damage object association information matched with the three-dimensional model of the object to be detected in damage object association information stored in a preset damage condition database according to the type of the object to be detected, the geographical area and the three-dimensional model of the object to be detected, includes: acquiring a target damaged vehicle information group corresponding to the type of the vehicle to be detected and the geographical area where the vehicle to be detected is located from a preset damaged condition database; the vehicle type of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the vehicle type of the vehicle to be detected, and the geographic area of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the geographic area of the vehicle to be detected or the distance between the geographic area of each damaged vehicle related information and the geographic area of the vehicle to be detected is smaller than a preset distance threshold; respectively calculating the similarity between the three-dimensional model of the vehicle to be detected and the three-dimensional model of the damaged vehicle in the associated information of each damaged vehicle in the target damaged vehicle information group; and if a first target three-dimensional model with the similarity larger than a preset similarity threshold exists between the first target three-dimensional model and the vehicle three-dimensional model to be detected, determining target damage object associated information matched with the vehicle three-dimensional model to be detected from damage vehicle associated information to which the first target three-dimensional model belongs.

Optionally, if there is no first target three-dimensional model with the similarity between the first target three-dimensional model and the three-dimensional model of the vehicle to be detected being greater than a preset similarity threshold, the three-dimensional model of the vehicle to be detected is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme matched with the three-dimensional model of the vehicle to be detected.

Optionally, if the vehicle type of each damaged vehicle associated information in the subgroup is not queried to be the same as the vehicle type of the vehicle to be detected, and the distance between the geographical area of each damaged vehicle associated information in the subgroup and the geographical area of the vehicle to be detected is smaller than the damaged vehicle information subgroup of the preset distance threshold, determining that the target damaged vehicle information subgroup corresponding to the vehicle type and the geographical area of the vehicle to be detected does not exist in the preset damage condition database, and sending the three-dimensional model of the vehicle to be detected to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected.

Optionally, the server sends the three-dimensional model of the vehicle to be detected to a manual detection platform. The manual detection platform provides the three-dimensional model of the vehicle to be detected for detection staff, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are determined by the detection staff according to the three-dimensional model of the vehicle to be detected and matched with the three-dimensional model of the vehicle to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are matched with the three-dimensional model of the vehicle to be detected to a server.

Optionally, a preset similarity threshold is set according to the service requirement. The first target three-dimensional model with the similarity larger than a preset similarity threshold value is a three-dimensional model of a damaged vehicle which is higher in similarity with the three-dimensional model of the vehicle to be detected. Illustratively, the preset similarity threshold is 0.9. The damaged vehicle related information to which the first target three-dimensional model belongs is damaged vehicle related information of a damaged vehicle similar to the damaged condition of the vehicle to be detected in the geographic area or the surrounding area where the vehicle to be detected is located.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of the part to be detected; the obtaining target damage object association information matched with the three-dimensional model of the object to be detected in damage object association information stored in a preset damage condition database according to the type of the object to be detected, the geographical area and the three-dimensional model of the object to be detected, includes: acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographical area where the part to be detected is located from a preset damage condition database; the type of the part in each damaged part associated information in the target damaged part information group is the same as the type of the part to be detected, and the geographic area in which each damaged part associated information in the target damaged part information group is located is the same as the geographic area in which the part to be detected is located or the distance between the geographic area in which the part to be detected is located is smaller than a preset distance threshold; respectively calculating the similarity between the three-dimensional model of the part to be detected and the three-dimensional model of the damaged part in the associated information of each damaged part in the target damaged part information group; and if a second target three-dimensional model with the similarity between the second target three-dimensional model and the three-dimensional model of the part to be detected being greater than a preset similarity threshold exists, determining the association information of the damaged part to which the second target three-dimensional model belongs as the association information of the target damaged object matched with the three-dimensional model of the part to be detected.

Optionally, if there is no second target three-dimensional model with the similarity between the three-dimensional model of the part to be detected being greater than a preset similarity threshold, the three-dimensional model of the part to be detected is sent to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected.

Optionally, if the type of the part in the damaged part association information in the subgroup is not queried to be the same as the type of the part to be detected, and the distance between the geographical area of the damaged part association information in the subgroup and the geographical area of the part to be detected is smaller than the damaged part information subgroup of the preset distance threshold, determining that the target damaged part information subgroup corresponding to the type of the part to be detected and the geographical area of the part to be detected does not exist in the preset damage condition database, and sending the three-dimensional model of the part to be detected to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected.

Optionally, the server sends the three-dimensional model of the part to be detected to a manual detection platform. The manual detection platform provides the three-dimensional model of the part to be detected for detection personnel, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are determined by the detection personnel according to the three-dimensional model of the part to be detected and matched with the three-dimensional model of the part to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are matched with the three-dimensional model of the part to be detected to a server.

Optionally, a preset similarity threshold is set according to the service requirement. The second target three-dimensional model with the similarity larger than a preset similarity threshold value is a three-dimensional model of the damaged part with higher similarity to the three-dimensional model of the part to be detected. Illustratively, the preset similarity threshold is 0.9. The damaged part related information of the second target three-dimensional model is damaged part related information of a damaged part similar to the damaged condition of the part to be detected in the geographic area or the peripheral area where the part to be detected is located.

And 204, determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle in the target damage object associated information matched with the three-dimensional model of the vehicle to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected.

The damaged vehicle in the target damaged object associated information matched with the three-dimensional model of the vehicle to be detected is a damaged vehicle similar to the damaged condition of the vehicle to be detected in the geographic area or the surrounding area where the vehicle to be detected is located.

The damage level, repair plan, repair pricing, and insurance reimbursement plan that match the three-dimensional model of the vehicle to be detected are those of a damaged vehicle that are similar to the vehicle damage condition of the vehicle to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged part in the target damage object associated information matched with the three-dimensional model of the part to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected.

The damaged parts in the target damaged object associated information matched with the three-dimensional model of the part to be detected are damaged parts similar to the damaged condition of the part to be detected in the geographic area or the peripheral area where the part to be detected is located.

The damage level, maintenance scheme, maintenance pricing and insurance reimbursement scheme matched with the three-dimensional model of the part to be detected are damage level, maintenance scheme, maintenance pricing and insurance reimbursement scheme of damaged parts similar to the damage condition of the part to be detected.

And step 205, feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected to the terminal equipment.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected to the target user.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected to the target user.

Optionally, after determining the part type of the part to be detected, the method further includes: collecting part suppliers and part quotations corresponding to the parts to be detected according to the types of the parts to be detected and the geographical areas where the parts to be detected are located; the parts supplier corresponding to the parts to be detected is a supplier for selling the parts with the same type as the parts to be detected in the geographical area of the parts to be detected, and the parts quotation corresponding to the parts to be detected is the price of the parts with the same type as the parts to be detected, which are sold in the geographical area of the parts to be detected; and feeding back the parts suppliers and parts quotations corresponding to the parts to be detected, and the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the parts to be detected to the terminal equipment of the target user.

Therefore, the embodiment of the invention can provide richer reference information for the repair and insurance claim settlement process of the parts to be detected.

The embodiment of the invention provides a vehicle damage detection method, which can automatically determine the damaged vehicle similar to the damage condition of a vehicle to be detected in the geographic area or the peripheral area of the vehicle to be detected by matching the type, the geographic area and the three-dimensional model of the damaged vehicle in the database of the vehicle to be detected and the damage condition, automatically determine the damaged part similar to the damage condition of the vehicle to be detected in the geographic area or the peripheral area of the vehicle to be detected by matching the type, the geographic area and the three-dimensional model of the damaged part in the database of the vehicle to be detected, and feed back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the vehicle to be detected to a user so that the user can refer to the damage level, the maintenance scheme, the pricing and the insurance claim scheme of the damaged vehicle to be detected or the damaged part to be detected.

For users such as insurance fighters, maintenance personnel and the like, years of experience is not needed, and only the three-dimensional model of the vehicle to be detected or the part to be detected is sent to the server, so that the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected fed back by the server can be obtained, and the subsequent maintenance and insurance claim processing of the vehicle to be detected or the part to be detected can be performed by referring to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected.

For the owner user, only the three-dimensional model of the vehicle to be detected or the part to be detected is sent to the server, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected fed back by the server can be obtained, so that the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the vehicle or the part provided by insurance determiners and maintenance personnel can be judged whether the information such as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the vehicle or the part is accurate and reasonable or not, and the maintenance rights and interests are not damaged under the condition of encountering insurance determiners and maintenance personnel which violate professional moral.

For the insurance platform, the three-dimensional model of the vehicle to be detected or the parts to be detected is real and can not be tampered, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme are also determined according to the real damage condition of the vehicle and the parts, and the maintenance pricing is transparent, so that a series of related personnel can be restrained.

Example III

Fig. 3 is a schematic structural diagram of a vehicle damage detection device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: an image receiving module 301, a first information determining module 302, a first information matching module 303, a first detection result determining module 304, and a first detection result feedback module 305.

The image receiving module 301 is configured to receive an image of an object to be detected, which is sent by a target user through a terminal device, where the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; the first information determining module 302 is configured to determine a type of an object to be detected according to the image of the object to be detected, and obtain a geographic area where the object to be detected is located, where the object to be detected is a vehicle to be detected or a part to be detected; the first information matching module 303 is configured to obtain, according to the type of the object to be detected, the geographical area in which the object to be detected is located, and the image of the object to be detected, target damage object association information that is matched with the image of the object to be detected, from damage object association information stored in a preset damage condition database; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold; a first detection result determining module 304, configured to determine a damage level, a maintenance scheme, a maintenance pricing, and an insurance claim scheme of the damaged object in the target damaged object related information as a damage level, a maintenance scheme, a maintenance pricing, and an insurance claim scheme that match the image of the object to be detected; and the first detection result feedback module 305 is used for feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

The embodiment of the invention provides a vehicle damage detection device, which can automatically determine a damaged vehicle similar to the damage condition of a vehicle to be detected in a geographic area or a peripheral area where the vehicle to be detected is located by matching the type, the geographic area and the image of the damaged part in the geographic area or the peripheral area where the vehicle to be detected is located, automatically determine the damaged part similar to the damage condition of the part to be detected in the geographic area or the peripheral area where the part to be detected is located, and can feed back the damage level, the maintenance scheme, the maintenance pricing scheme and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected to a user, so that the user can refer to the damage level, the maintenance scheme, the maintenance pricing scheme and the insurance claim scheme of the damaged vehicle similar to the damage condition, and the damaged part to be detected, and the subsequent claims and the insurance claim processing of the vehicle to be detected or the part to be detected can be carried out.

In an optional implementation manner of the embodiment of the present invention, optionally, the vehicle damage detection device further includes: the three-dimensional model receiving module is used for receiving a three-dimensional model of an object to be detected, which is sent by a target user through terminal equipment, wherein the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected; the second information determining module is used for determining the type of the object to be detected according to the three-dimensional model of the object to be detected, and acquiring the geographic area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; the second information matching module is used for acquiring target damage object association information matched with the three-dimensional model of the object to be detected from damage object association information stored in a preset damage condition database according to the type of the object to be detected, the geographical area and the three-dimensional model of the object to be detected; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the three-dimensional model of the damaged object and the three-dimensional model of the object to be detected is larger than a preset similarity threshold; the second detection result determining module is used for determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object related information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected; and the second detection result feedback module is used for feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected to the terminal equipment.

In an optional implementation manner of the embodiment of the present invention, optionally, the damage object association information stored in the preset damage condition database includes: damaged vehicle-related information and damaged part-related information; the damaged object in the damaged vehicle related information is a damaged vehicle, the type of the damaged object is the type of the damaged vehicle, and the geographic area where the damaged object is located is the geographic area where the damaged vehicle is located; the damage object in the damage part association information is a damage part, the type of the damage object is the part type of the damage part, and the geographic area of the damage object is the geographic area of the damage part; the vehicle damage detection device further includes: the database establishing module is used for acquiring the set quantity of damaged vehicle related information and damaged part related information, and storing the damaged vehicle related information and the damaged part related information into a preset damage condition database; wherein each damaged vehicle-related information at least includes: images of damaged vehicles, three-dimensional models, vehicle models, geographical areas where the vehicles are located, damage levels, maintenance schemes, maintenance pricing and insurance reimbursement schemes; each damaged part associated information at least comprises: images of damaged parts, three-dimensional models, part types, geographic region where they are located, damage level, repair plan, repair pricing, and insurance reimbursement plan.

In an optional implementation manner of the embodiment of the present invention, optionally, when performing an operation of storing each damaged vehicle related information into a preset damaged condition database, the database creation module is specifically configured to: grouping the damaged vehicle associated information according to the geographical areas to obtain a plurality of damaged vehicle information groups, wherein the geographical areas of the damaged vehicle associated information in the damaged vehicle information groups are the same; aiming at each damaged vehicle information group, grouping the damaged vehicle related information in the damaged vehicle information groups according to the vehicle type to obtain a plurality of damaged vehicle information subgroups, wherein the geographic area of the damaged vehicle related information in each damaged vehicle information subgroup is the same as the vehicle type; and storing each damaged vehicle information group into a preset damage condition database.

In an optional implementation manner of the embodiment of the present invention, optionally, when the database creation module performs an operation of storing the association information of each damaged part into a preset damage condition database, the database creation module is specifically configured to: grouping the damaged part associated information according to the geographical area to obtain a plurality of damaged part information groups, wherein the geographical area of each damaged part associated information in each damaged part information group is the same; for each damaged part information group, grouping the related information of each damaged part in the damaged part information group according to part types to obtain a plurality of damaged part information subgroups, wherein the geographic area of each damaged part in each damaged part information subgroup is the same as the part type; and storing each damaged part information group into a preset damage condition database.

In an optional implementation manner of the embodiment of the present invention, optionally, the image of the object to be detected is an image of a vehicle to be detected; the first information determining module 302 is specifically configured to, when executing the operation of determining the type of the object to be detected according to the image of the object to be detected and obtaining the geographic area where the object to be detected is located: performing optical character recognition on the vehicle image to be detected, acquiring a vehicle identification number in the vehicle image to be detected, and determining the vehicle type of the vehicle to be detected according to the vehicle identification number; acquiring the geographic area of the vehicle to be detected; the first information matching module 303 is specifically configured to, when executing the operation of obtaining, from the damage object association information stored in the preset damage condition database according to the type of the object to be detected, the geographical area where the object to be detected is located, and the image of the object to be detected, the target damage object association information that is matched with the image of the object to be detected: acquiring a target damaged vehicle information group corresponding to the type of the vehicle to be detected and the geographical area where the vehicle to be detected is located from a preset damaged condition database; the vehicle type of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the vehicle type of the vehicle to be detected, and the geographic area of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the geographic area of the vehicle to be detected or the distance between the geographic area of each damaged vehicle related information and the geographic area of the vehicle to be detected is smaller than a preset distance threshold; respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group; and if a first target image with the similarity between the first target image and the vehicle image to be detected being greater than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target image belongs as target damaged object associated information matched with the vehicle image to be detected.

In an optional implementation manner of the embodiment of the present invention, optionally, the image of the object to be detected is a part image to be detected; the first information determining module 302 is specifically configured to, when executing the operation of determining the type of the object to be detected according to the image of the object to be detected and obtaining the geographic area where the object to be detected is located: performing optical character recognition on the part image to be detected, acquiring part identifiers in the part image to be detected, and determining part types of the parts to be detected according to the part identifiers; acquiring the geographical area of the part to be detected; the first information matching module 303 is specifically configured to, when executing the operation of obtaining, from the damage object association information stored in the preset damage condition database according to the type of the object to be detected, the geographical area where the object to be detected is located, and the image of the object to be detected, the target damage object association information that is matched with the image of the object to be detected: acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographical area where the part to be detected is located from a preset damage condition database; the type of the part in each damaged part associated information in the target damaged part information group is the same as the type of the part to be detected, and the geographic area in which each damaged part associated information in the target damaged part information group is located is the same as the geographic area in which the part to be detected is located or the distance between the geographic area in which the part to be detected is located is smaller than a preset distance threshold; respectively calculating the similarity between the part image to be detected and the image of the damaged part in the associated information of each damaged part in the target damaged part information group; and if a second target image with the similarity between the target image and the part image to be detected being greater than a preset similarity threshold exists, determining the damaged part associated information to which the second target image belongs as target damaged object associated information matched with the part image to be detected.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

The vehicle damage detection device can execute the vehicle damage detection method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the vehicle damage detection method.

Example IV

Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention.

The computer device 12 shown in fig. 4 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.

As shown in FIG. 4, the computer device 12 is in the form of a general purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors 16, a memory 28, and a bus 18 connecting the different business system components, including the memory 28 and the processors 16.

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard disk drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.

The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown in fig. 4, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

The processor 16 executes a program stored in the memory 28 to perform various functional applications and data processing, thereby implementing the vehicle damage detection method provided by the embodiment of the present invention: receiving an image of an object to be detected, which is sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; determining the type of an object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; acquiring target damage object associated information matched with the to-be-detected object image from damage object associated information stored in a preset damage condition database according to the type of the to-be-detected object, the geographical area and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold; determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object related information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the to-be-detected object image; and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

Example five

A fifth embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the vehicle damage detection method provided by the embodiment of the present invention: receiving an image of an object to be detected, which is sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; determining the type of an object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; acquiring target damage object associated information matched with the to-be-detected object image from damage object associated information stored in a preset damage condition database according to the type of the to-be-detected object, the geographical area and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold; determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object related information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the to-be-detected object image; and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims

1. A vehicle damage detection method, characterized by comprising:

2. The method as recited in claim 1, further comprising:

receiving a three-dimensional model of an object to be detected, which is sent by a target user through terminal equipment, wherein the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected;

determining the type of the object to be detected according to the three-dimensional model of the object to be detected, and acquiring the geographic area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected;

acquiring target damage object association information matched with the three-dimensional model of the object to be detected from damage object association information stored in a preset damage condition database according to the type of the object to be detected, the geographical area and the three-dimensional model of the object to be detected; the type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographic area of the damaged object is the same as the geographic area of the object to be detected or the distance between the damaged object and the geographic area of the object to be detected is smaller than a preset distance threshold, and the similarity between the three-dimensional model of the damaged object and the three-dimensional model of the object to be detected is larger than a preset similarity threshold;

Determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected;

and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected to the terminal equipment.

3. The method according to claim 1 or 2, wherein the damage object association information stored in the preset damage condition database includes: damaged vehicle-related information and damaged part-related information; the damaged object in the damaged vehicle related information is a damaged vehicle, the type of the damaged object is the type of the damaged vehicle, and the geographic area where the damaged object is located is the geographic area where the damaged vehicle is located; the damage object in the damage part association information is a damage part, the type of the damage object is the part type of the damage part, and the geographic area of the damage object is the geographic area of the damage part;

the vehicle damage detection method further includes:

Acquiring a set number of damaged vehicle related information and damaged part related information, and storing each damaged vehicle related information and each damaged part related information into a preset damage condition database;

wherein each damaged vehicle-related information at least includes: images of damaged vehicles, three-dimensional models, vehicle models, geographical areas where the vehicles are located, damage levels, maintenance schemes, maintenance pricing and insurance reimbursement schemes; each damaged part associated information at least comprises: images of damaged parts, three-dimensional models, part types, geographic region where they are located, damage level, repair plan, repair pricing, and insurance reimbursement plan.

4. The method of claim 3, wherein storing each of the damaged vehicle-related information into a pre-set damage condition database comprises:

grouping the damaged vehicle associated information according to the geographical areas to obtain a plurality of damaged vehicle information groups, wherein the geographical areas of the damaged vehicle associated information in the damaged vehicle information groups are the same;

aiming at each damaged vehicle information group, grouping the damaged vehicle related information in the damaged vehicle information groups according to the vehicle type to obtain a plurality of damaged vehicle information subgroups, wherein the geographic area of the damaged vehicle related information in each damaged vehicle information subgroup is the same as the vehicle type;

And storing each damaged vehicle information group into a preset damage condition database.

5. A method according to claim 3, wherein storing each of the damage component-related information in a predetermined damage condition database comprises:

grouping the damaged part associated information according to the geographical area to obtain a plurality of damaged part information groups, wherein the geographical area of each damaged part associated information in each damaged part information group is the same;

for each damaged part information group, grouping the related information of each damaged part in the damaged part information group according to part types to obtain a plurality of damaged part information subgroups, wherein the geographic area of each damaged part in each damaged part information subgroup is the same as the part type;

and storing each damaged part information group into a preset damage condition database.

6. The method according to claim 4, wherein the object image to be detected is a vehicle image to be detected;

the determining the type of the object to be detected according to the image of the object to be detected and obtaining the geographic area of the object to be detected comprises the following steps:

Performing optical character recognition on the vehicle image to be detected, acquiring a vehicle identification number in the vehicle image to be detected, and determining the vehicle type of the vehicle to be detected according to the vehicle identification number;

acquiring the geographic area of the vehicle to be detected;

the obtaining, according to the type of the object to be detected, the geographical area where the object to be detected is located, and the object image to be detected, target object association information matched with the object image to be detected from the object association information stored in a preset damage condition database, includes:

acquiring a target damaged vehicle information group corresponding to the type of the vehicle to be detected and the geographical area where the vehicle to be detected is located from a preset damaged condition database; the vehicle type of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the vehicle type of the vehicle to be detected, and the geographic area of each damaged vehicle related information in the target damaged vehicle information subgroup is the same as the geographic area of the vehicle to be detected or the distance between the geographic area of each damaged vehicle related information and the geographic area of the vehicle to be detected is smaller than a preset distance threshold;

respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group;

And if a first target image with the similarity between the first target image and the vehicle image to be detected being greater than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target image belongs as target damaged object associated information matched with the vehicle image to be detected.

7. The method of claim 5, wherein the object image to be detected is a part image to be detected;

performing optical character recognition on the part image to be detected, acquiring part identifiers in the part image to be detected, and determining part types of the parts to be detected according to the part identifiers;

acquiring the geographical area of the part to be detected;

acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographical area where the part to be detected is located from a preset damage condition database; the type of the part in each damaged part associated information in the target damaged part information group is the same as the type of the part to be detected, and the geographic area in which each damaged part associated information in the target damaged part information group is located is the same as the geographic area in which the part to be detected is located or the distance between the geographic area in which the part to be detected is located is smaller than a preset distance threshold;

Respectively calculating the similarity between the part image to be detected and the image of the damaged part in the associated information of each damaged part in the target damaged part information group;

and if a second target image with the similarity between the target image and the part image to be detected being greater than a preset similarity threshold exists, determining the damaged part associated information to which the second target image belongs as target damaged object associated information matched with the part image to be detected.

8. A vehicle damage detection device, characterized by comprising:

9. A computer device, the computer device comprising:

one or more processors;

storage means for storing one or more computer programs;

the vehicle damage detection method of any one of claims 1-7 when the one or more computer programs are executed by the one or more processors, such that the one or more processors execute the computer programs.

10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the vehicle damage detection method according to any one of claims 1-7.