TW202201325A - Car Damage Assessment System and Implementation Method Thereof - Google Patents

Abstract

A car damage assessment system and implementation method thereof are disclosed. An App for car damage assessment is downloaded to a mobile device in advance. When a car accident happens, the said App for car damage assessment can be linked to a server after it is executed and then lead the user to take some photos about the car damage through AR (Augmented Reality). Furthermore, a car damage information is generated through the photos about the car damage and a selected damage part of the car based on a car model information sent by the server. Then the car damage information is sent to the server and is recognized deeply so that it can determine whether the damage is made artificially or not. If so, the system will alert the insurance adjuster to process the case separately. If not, the user can obtain the information about maintenance and insurance immediately. This disclosure can assist the user to capture the information about car damage and help the insurance company to recognize the damage part of a car and to find out insurance fraud so that the accuracy and efficiency of the determination of the car damage will increase.

Description

Auxiliary system for damage determination of vehicle body and its implementation method

The present invention relates to an auxiliary system for vehicle damage assessment and an implementation method thereof, wherein the present invention transmits a vehicle damage information to a cloud server through a mobile device, so that the cloud server can identify vehicle damage components and determine whether insurance fraud , so that the present invention can assist the user in retrieving the vehicle damage information, and assist the insurance company to improve the accuracy of identifying damaged parts in damage determination and the efficiency of vehicle accident handling.

Auto insurance (referred to as auto insurance) refers to a commercial insurance that is liable for personal injury or property damage caused by natural disasters or accidents. With the development of the economy, the number of passenger cars is increasing. At present, auto insurance has become one of the largest types of insurance in the insurance business.

When an insured vehicle has a traffic accident, the insurance company usually first conducts on-site investigation and damage assessment, and vehicle damage assessment involves various technologies and interests such as follow-up maintenance and evaluation, and is a very important process in the entire auto insurance service. With the development of technology and the business development needs of rapid loss assessment and claims settlement, when a vehicle accident occurs, the current method of remote damage assessment is more and more common, mainly insurance companies (loss assessors, surveyors, or AI loss assessments system) through the car damage photos taken by the accident car owner's mobile phone (or other terminal equipment) to determine the scope and degree of car damage of the accident vehicle, and then determine the maintenance plan, evaluate the damage, etc., but the accident car owner due to the lack of car insurance knowledge. Due to the limitations of sufficient or shooting technology, insurance companies often fail to distinguish the damaged parts or generate a large number of redundant invalid photos when using the car damage photos taken by the owner's on-site mobile phone, which affects the efficiency and accuracy of damage determination processing.

Furthermore, when a car owner files a claim for a vehicle accident, the insurance company needs to evaluate the degree of damage to the vehicle to determine the list of items that need to be repaired and the amount of compensation. The current evaluation methods mainly include: through the insurance company or a third party. The surveyor of the evaluation agency conducts an on-site evaluation of the vehicle in the accident, or the user, under the guidance of the insurance company personnel, takes a photo of the accident vehicle, transmits it to the insurance company through the Internet, and then the damage assessment personnel use the photo to identify the damage. In the application of auto insurance, the identification of damage, such as confirming the degree of damage, the type of damage, whether it is man-made forgery, etc., mainly depends on the manual judgment of the surveyor's experience, but in the actual processing process, due to different surveyors' experience and judgment scales It is not the same and is highly subjective, especially for the surveyors to identify malicious fraud in damage assessment. Therefore, the industry urgently needs a solution that can assist car owners in car accidents and identify vehicle damage more efficiently and reliably.

In view of the above-mentioned problems, the inventor of the present invention has researched and improved the data acquisition method for the insurance system and the damage determination of the accident scene based on the experience related to the insurance industry for many years; therefore, the main purpose of the present invention is to provide an improved "Vehicle Loss Assessment Auxiliary System and Its Implementation Method" for Efficiency and Accuracy of Vehicle Loss Assessment Processing.

In order to achieve the above-mentioned purpose, in the vehicle body damage assessment assistance system and its implementation method of the present invention, the user can pre-load a vehicle damage assistance program in the mobile device in advance. When a car accident occurs, the vehicle damage assistance program can be executed after The information is connected to a cloud server, and further guides the user to capture the damage photos of the car body through AR (Augmented Reality), and select the car with the 3D car body model sent by the cloud server. After the damaged part of the car body is detected, a car damage information is generated based on the damage photos of the car body, and then the car damage information is sent to the cloud server for in-depth identification, so as to further judge whether the car body damage is forged or fraudulent. If not, use The user can obtain the vehicle body maintenance and claim settlement information in real time, so that the present invention can assist the user to retrieve the vehicle damage information, and assist the insurance company to identify the damaged parts and extent of the vehicle, as well as determine whether the insurance is fraudulent. accuracy and processing efficiency.

In order to enable your examiners to clearly understand the purpose, technical features and effects of the present invention, the following descriptions are combined with the diagrams for illustration, please refer to.

Please refer to “FIG. 1”, which is a schematic diagram of the system composition of the present invention. The vehicle body damage assessment assistance system 1 shown in the figure is mainly composed of more than one mobile device 10 and a cloud server 11 The mobile device 10 can be a mobile communication device mainly having an image capture function such as a smart phone or a tablet computer, and the cloud server 11 can be set up by an insurance company or other third-party companies , and the cloud server 11 pre-stores several pieces of relevant information such as car owner insurance, maintenance quotations, etc., wherein the mobile device 10 can pre-download a car damage assistance program P (not shown in the figure), when a car accident occurs, the user can After the vehicle damage assistance program P is executed, the report procedure is completed first through the guidance and instructions of the program, and then the license plate of the damaged vehicle (that is, the owner's own damaged vehicle) is further retrieved to generate an identity confirmation information A, which is passed through The mobile device 10 sends the identity confirmation information A to the cloud server 11 through the Internet, and the cloud server 11 confirms the identity of the vehicle owner and its insurance information, and after completing the confirmation, sends a vehicle body model information B to the mobile device 10, and the user can use the mobile device 10 to capture on-site vehicle damage photos, and then further select the damaged parts of the vehicle body with the vehicle body model information B to generate a vehicle damage information C and send it to the cloud server 11 for processing. Analysis and identification, and the cloud server 11 can further identify whether the car accident is forged or fraudulent according to the car damage information C, if not, it can generate a repair and claim information D and send it to the mobile device 10, and the repair and claim Information D mainly includes relevant information such as car damage repair quotations, claims settlement contracts, and nearby repair partners, so that users can choose whether they want to be handled by the insurance company or handled by themselves.

Please refer to "Fig. 2". The figure shows a schematic diagram of the composition of the vehicle damage assistance program of the present invention. The mobile device 10 shown in the figure mainly includes a microprocessor module 101 and an information storage module 102. , a display screen 103, a transmission module 104 and an image capture module 105, and the information storage module 102 can store the image data captured by the image capture module 105, and the mobile device 10 is preloaded There is a vehicle damage assistance program P, the vehicle damage assistance program P has a guide module P1, and the guide module P1 can be displayed on the display screen 103, and the guide module P1 has an alarm unit P11, An identification unit P12, a customer service unit P13, and a vehicle damage status retrieval unit P14, wherein the alarm unit P11 can be selected by the user to make a call to the relevant police unit (such as a police station) through the mobile device 10, and The identification unit P12 and the vehicle damage status capturing unit P14 can drive the image capturing module 105 of the mobile device 10 to operate, so that after capturing the image, the vehicle body model information B transmitted by the cloud server 11 is used to further The identity confirmation information A and the vehicle damage information C are generated, and the retrieved identity confirmation information A and the vehicle damage information C are further stored in the information storage module 102, and can be sent to the information storage module 102 through the microprocessor module 101 via the transmission module 104. After the cloud server 11 and the customer service unit P13 can be selected by the user, the user can make a call to the customer service line of the insurance company through the mobile device 10 .

Please refer to "Fig. 3", which is a schematic diagram of the composition of the cloud server of the present invention. Please refer to "Fig. 1" and "Fig. 2" in conjunction with the cloud server 11 shown in this figure. It is mainly composed of an arithmetic processing module 111, a database 112, a comparison module 113 and an information receiving and sending module 114, wherein: (1) The operation processing module 111 forms an information link with the database 112, the comparison module 113 and the information receiving and sending module 114 respectively, and the operation processing module 111 can be equipped with logical operations, temporary storage of operation results, storage of Executes functions such as instruction locations, such as a central processing unit (CPU), a virtual processing unit (vCPU), a microprocessor (MPU), a microcontroller (MCU), an application processor (AP), a Embedded processors, an application-specific integrated circuit (ASIC), a tensor processing unit (TPU), or a graphics processing unit (GPU), etc., but not limited thereto. (2) The database 112 is mainly used for storing relevant electronic information, and it has a insurance unit 1121, a vehicle damage unit 1122, a model unit 1123, and a maintenance information unit 1124, wherein the insurance unit 1121 stores several records. Insurance-related information about the customer, such as the customer's insurance information, identity information, insured vehicle type, whether there is a relevant insurance fraud record, or other relevant information that can establish fraud inspection rules, etc.; and the car damage unit 1122 pre-stores several The damage type data of various parts of various models, as well as the old damage information of the car body of the insured, the damage data can be, for example, the damage status of various parts of a certain model after different degrees of collision, and the damage caused by The damage status can be divided into different categories (scratches, deformation, cracking, falling off, etc.), and then subdivided into small categories (light, medium, severe, etc.) according to different degrees, for the system to generate repair or replacement suggestions, and carry out at the same time. In-depth identification and comparison analysis, combined with the insured's old car body damage information, to confirm whether the damaged part of the car is forged. It is presented in 2D, which may cause misjudgment due to light or stains, so it can be judged more clearly through deep 3D recognition; model unit 1123 stores several 3D model information of various models; maintenance information unit 1124 stores several vehicles Information on spare parts, repair prices, and information on car repair manufacturers and other related repair information. (3) The comparison module 113 has at least one training unit 1131 corresponding to the type of the object to be inspected (for example, corresponding to a specific vehicle component), and the training unit 1131 may be, for example, LeNet, AlexNet, VGGnet, NIN, GoogLeNet, MobileNet, SqueezeNet , ResNet, SiameseNet, NASNet, RNN, Inception-ResNet, EfficientNet or other trained prediction models based on convolutional neural networks, and some of the training models can correspond to, for example, object detection (Detection), object cutting, object As a training model for tasks such as classification, the training unit 1131 may also have functions of target detection algorithms such as SSD (Single Shot MultiBox Detector), Faster R-CNN, YOLO, etc., but not limited thereto. (4) The information receiving and sending module 114 can receive and send electronic information, for example, it can receive the identity confirmation information A sent by the mobile device 10 and store it in the database 112 , and the matching module 113 can receive The driving of the computing processing module 111 analyzes and compares the identity confirmation information A stored in the database 112 to confirm the identity information of the user, and further captures the 3D model information of the relevant vehicle model by the model unit 1123 and sends it to the mobile phone The device 10 is used for the user to generate the vehicle damage information C with the aid of the 3D model information, and transmit it to the cloud server for subsequent comparison operations. (5) After the cloud server 11 completes the analysis and comparison of the vehicle damage information C, the contract generation module 115 further generates an electronic contract, and the electronic contract can be provided by, for example, an online contract with an electronic signature. The user signs the claim settlement contract and agrees to deal with the accident, and the electronic contract includes relevant information such as the estimated premium amount for the next year after the accident is dealt with for the user's reference, and the electronic contract also includes the time stamp (date and time of the report) and the accident The electronic contract can be integrated with the relevant quotation and maintenance information captured in the maintenance information unit 1124 to generate a claim settlement and maintenance information D.

Please refer to "Fig. 4", which shows the schematic diagram (1) of the implementation of the present invention. Please refer to "Fig. 1" to "Fig. 3" in conjunction with the present invention. , the vehicle damage assistance program P can be executed through the mobile device 10, and after the vehicle damage assistance program P is executed, the user can perform related processing through the guide module P1, as shown in the figure, the guide module P1, which It mainly has an alarm unit P11, an identification unit P12, a customer service unit P13, and a vehicle damage status retrieval unit P14. Users can choose according to the scene conditions. For example, when a car accident occurs, they can first report the case through the alarm unit P11, and let the police arrive. to assist in processing, to leave a report record for subsequent claims settlement, or to have a direct dialogue with the insurance company’s customer service staff through the customer service unit P13 for assistance.

Please refer to "Fig. 5", which shows the schematic diagram (2) of the implementation of the present invention. As described in "Fig. 4", after completing the reporting procedure, the user needs to confirm the insurance information. Therefore, the user can The identity of the insured is confirmed through the identification unit P12 for the insurance company to check whether the user is the insured of the company. After the user executes the identification unit P12, the user can drive the image capture module of the mobile device 10 105 is actuated, and after the image capture module 105 is actuated, the user further captures an image of a license plate 121 of a vehicle 12 driven by himself. After the capture, the identity confirmation information A is generated, and the user can use the mobile device The transmission module 104 of 10 transmits the identity confirmation information A to the cloud server 11. Since the insurance unit 1121 stores several pieces of insurance-related information about the customer (the relevant information also includes the license plate number of the insured user), the cloud server 11 The license plate number of the identity confirmation information A can be analyzed through the comparison module 113, and the information of the insurance unit 1121 in the database 112 can be further extracted for comparison, so that the cloud server 11 can confirm whether the user is the insurance company of the company user.

Please refer to "Fig. 6", which is a schematic diagram of the implementation of the present invention (3), according to the description of "Fig. 5", please refer to "Fig. 3" in conjunction, the cloud server 11 is completing the identity confirmation information A. When it is confirmed that the user is a company user, the cloud server 11 can obtain the information such as the car model insured by the user through the insurance unit 1121 , and the cloud server 11 uses the computing processing module 111 to Further capture the 3D model information in the vehicle model unit 1123 that matches the user's vehicle model to generate vehicle body model information B, and send the vehicle body model information B to the mobile device 10 through the information receiving and sending module 114 to assist the user Take car damage photos.

Please refer to "Fig. 7" and "Fig. 8", which are schematic diagrams (4) and (5) of the implementation of the present invention. According to the description in "Fig. 6", the mobile device 10 receives through the transmission module 104 After the vehicle body model information B is obtained, the user can operate the vehicle body model information B through the display screen 103 to select the damaged part of the vehicle 12 , and after the selection is completed, the user can further execute the vehicle damage condition retrieval unit P14 , After the image capture module 105 of the mobile device 10 is driven to operate, and the vehicle damage condition capture unit P14 is executed, the user can use AR (Augmented Reality) on the display screen 103 to respectively Capture damage photos of various parts of the car body from close-up and long-range shooting angles, and after the damage photos are captured, the car body model information B is further matched with the information generated by selecting the car body model information B to generate car damage information C, which can be accessed through mobile devices. The transmission module 104 of 10 sends the vehicle damage information C to the cloud server 11 .

Please refer to "Fig. 9", which is a schematic diagram of the implementation of the present invention (6), please refer to "Fig. 3" in conjunction with the above, when the cloud server 11 receives the After the vehicle damage information C is obtained, the operation processing module 111 can further drive the training unit 1131 of the comparison module 113 to act to analyze and compare the vehicle damage information C. The training unit 1131 can be matched with the vehicle damage unit 1122 The stored information can be analyzed and identified according to the vehicle damage information C to identify the correct damaged parts of the vehicle body, such as the hood, headlights, bumpers, etc., and the information of the vehicle damage unit 1122 can also be retrieved through the arithmetic processing module 111 . Further in-depth identification of the damaged parts that have been analyzed and identified, and processing with the fraud inspection rules and the old injury information of the policyholder, to identify whether the damaged parts of the car body are intentionally caused by humans and avoid claims fraud incidents; Furthermore, after the training unit 1131 completes the analysis and identification of the vehicle damage information C, it can know the correct location and degree of damage to the vehicle body, whereby the arithmetic processing module 111 can further capture the information of the maintenance information unit 1124, In order to obtain the repair price of the damaged part of the car and the information of the repair depots around the user, and further cooperate with the electronic contract generated by the contract generation module 115 to generate the claim settlement and repair information D, and send it to the mobile device through the information receiving and sending module 114 10.

To sum up, after the implementation of the present invention, when the user's mobile device 10 receives the claim and repair information D through the transmission module 104, he can choose to have the insurance company take out the insurance, or use the claim and repair information D. The provided car factory maintenance information is processed by itself, so that the present invention can effectively assist the user to retrieve the car damage information, and assist the insurance company to improve the accuracy of identifying damaged parts in the damage assessment and the efficiency of car accident handling; moreover, the system can also It is provided to users with non-insured user identities for use. When using it, users with non-insured user identities can go through a registration process, and then execute the vehicle damage assistance program P, and capture photos of vehicle damage through their own mobile devices 10 After that, it is further sent to the comparison module 113 of the cloud server 11 for analysis and identification, so that after the cloud server 11 retrieves the maintenance data of the maintenance information unit 1124, it is sent to the mobile device of the user who is not the insurance user. For reference, and the maintenance data can also include maintenance information such as the address of the repair shop, telephone number, maintenance items/man-hour costs, etc. The difference between non-insured users and insured users using the system is that non-insured users only use the system to For the identification of related needs such as damage and repair costs, the system will not identify users who are non-insured users and whether they have the intention of making claims fraudulently, and the detailed vehicle damage identification methods will not be repeated here.

Please refer to "Fig. 10", which is a schematic diagram of the implementation steps of the present invention. Please refer to "Fig. 1" to "Fig. 9" in conjunction. Implementation method, its steps are as follows: (1) Insured identity confirmation step S1: The mobile device 10 downloads the vehicle damage assistance program P in advance, and after execution, the guide module P1 can be displayed on the display screen 103 of the mobile device 10, and the guide module P1 can be displayed through the mobile device 10. The identity recognition unit P12 of the license plate captures the image of the license plate to generate identity confirmation information A, and transmits it to the cloud server 11 through the mobile device 10 to confirm the identity of the insured; (2) The server sends the vehicle body model information. Step S2: The identity confirmation information A passes through the comparison module 113 of the cloud server 11, and can further analyze and identify the data through the insurance unit 1121 in the database 112 to complete the policyholder. Confirm the identity, and capture the 3D model information in the vehicle model unit 1123 that matches the insured vehicle model to generate vehicle body model information B, and send it to the mobile device 10; (3) Transmitting vehicle damage information Step S3: After receiving the vehicle body model information B, the mobile device 10 can operate the vehicle body model information B through the display screen 103 to select the damaged part of the vehicle 12 and further execute the vehicle damage operation. The vehicle damage condition capturing unit P14 of the auxiliary program P captures the damage photos of various parts of the vehicle body by means of close-up and long-range photography, and further generates vehicle damage information C with the information generated after selecting the vehicle body model information B, The mobile device 10 further transmits the vehicle damage information C to the cloud server 11; (4) The server performs analysis and identification step S4: The training unit 1131 of the comparison module of the cloud server 11 can cooperate with the vehicle damage unit 1122 to analyze and identify the correct damaged parts of the vehicle body, the degree of damage, and the damage information C of the vehicle body. After performing in-depth identification, after completing the analysis and identification, you can further obtain the repair price of the damaged part of the vehicle and the repair depots around the user through the information of the repair information unit 1124, and generate claims with the electronic contract generated by the contract generation module 115. and maintenance information D, which are sent to the mobile device 10 through the information receiving and sending module 114 for the user to select a subsequent processing method.

Please refer to "FIG. 11", which shows another embodiment (1) of the present invention, please refer to "FIG. 4" in conjunction with the cloud server 11 shown in this figure, its computing processing module 111 information link has an AI intelligent customer service module 116. The AI intelligent customer service module 116 can be, for example, an AI Chatbot (artificial intelligence chat robot). When the user selects the customer service unit P13 of the guidance module P1 through the display screen 103 When seeking assistance, the mobile device 10 can further connect to the AI smart customer service module 116 of the cloud server 11, so that the user can chat with the AI smart customer service module 116 through the mobile device 10 through dialogue or text, for the purpose of Users can obtain the information they want to know, which can effectively reduce the manpower on the customer service end of insurance companies. Based on the above, on the premise that the system has dedicated customer service and AI intelligent customer service module 116, when the user selects the customer service unit P13 of the guidance module P1 for assistance, the system will pre-execute the AI intelligent customer service module 116 after , is the dedicated customer service. As for the future minibuses with automatic driving function, in the event of an accident, the insurance company can be automatically notified through the sensor, and the AI intelligent customer service module 116 will take the initiative to care for the customer and guide the use of the vehicle body damage assessment assistance system.

Please refer to "FIG. 12", which shows another embodiment (2) of the present invention. As shown in the mobile device 10, the microprocessor module 101 is information-linked to a GPS module 106, and The operation processing module 111 of the cloud server 11 is connected to a dispatch module 117 for information, and the GPS module 106 can generate a positioning information E, and the positioning information E can include relevant position information such as coordinates, azimuth, longitude and latitude, etc. In addition, the positioning information E can be transmitted to the dispatching module 117 of the cloud server 11 through the transmission module 104 of the mobile device 10 . When the user has a demand, the cloud server 11 can dispatch claims adjusters through the dispatching module 117 Go to the scene of the accident to assist the owner in handling the accident.

Please refer to "FIG. 13", which shows another embodiment (3) of the present invention. The cloud server 11 shown in the figure is further connected with a plurality of external databases (13, 14, 15). ) to form an information link, and the multiple external databases (13, 14, 15) can be, for example, databases of police departments, insurance crime prevention centers, customs and trade networks, insurance companies or various warranty factories, etc. For the cloud server 11 to automatically obtain accident records, policy information, claim fraud prevention information, premium/claim inquiry and grade calculation, repair shop parts prices and operating hours and other information.

From the above, it can be seen that, in the vehicle damage determination assistance system of the present invention and the implementation method thereof, the user can pre-load a vehicle damage assistance program in the mobile device. Line to a cloud server, and further guide the user to capture the damage photos of the car body through AR (Augmented Reality, Augmented Reality), and select the car body injury with the 3D car body model sent by the cloud server. After the damage of the car body is located, a car damage information is generated by combining the damage photos of the car body, and then the car damage information is sent to the cloud server for in-depth identification, so as to further judge whether the damage to the car body is forged or fraudulent. If not, the user can Real-time acquisition of vehicle body maintenance and claim settlement information, so that the present invention can assist users in retrieving vehicle damage information, assist insurance companies to identify vehicle damaged parts and determine whether insurance is fraudulent, and improve the accuracy and processing efficiency of identifying damaged parts in damage determination. Accordingly, after the present invention is implemented, it can indeed achieve the purpose of providing a vehicle body damage assessment assistance system and its implementation method which can improve the processing efficiency and accuracy of vehicle damage assessment.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention; any person who is familiar with this technique, without departing from the spirit and scope of the present invention, makes equal changes and modifications, all It should be covered within the patent scope of the present invention.

To sum up, the invention has the patent requirements of "industrial applicability", "novelty" and "progressiveness"; the applicant should file an application for an invention patent with the Jun Bureau in accordance with the provisions of the Patent Law.

1: Car body damage assessment assistance system 10: Mobile Devices 101: Microprocessing module 102: Information storage module 103: Display screen 104: Transmission module 105: Image capture module 106: GPS module 11: Cloud server 111: Operation processing module 112:Database 113: Comparison module 1121: Insurance Unit 1131: Training Unit 1122: Vehicle Damage Unit 115: Contract generation module 1123: Model Unit 117: Dispatch module 1124: Maintenance Information Unit 114: Information receiving and sending module 116: AI Intelligent Customer Service Module 12: Vehicles 13: External Repository 14: External Repository 15: External Repository P: car damage assistance program A: Identity confirmation information P1: Boot module B: Vehicle body model information P11: Alarm unit C: Vehicle damage information P12: Identification Unit D: Claims and maintenance information P13: Customer Service Unit E: address information P14: Vehicle Damage Condition Retrieval Unit S1: Steps to confirm the identity of the insured S2: Steps for server to send vehicle body model information S3: Steps for transmitting vehicle damage information S4: The server performs analysis and identification steps

Figure 1 is a schematic diagram of the composition of the present invention. Fig. 2 is a schematic diagram of the composition of the vehicle damage assistance program of the present invention. FIG. 3 is a schematic diagram of the composition of the cloud server of the present invention. FIG. 4 is a schematic diagram (1) of the implementation of the present invention. FIG. 5 is a schematic diagram (2) of the implementation of the present invention. FIG. 6 is a schematic diagram (3) of the implementation of the present invention. FIG. 7 is a schematic diagram (4) of the implementation of the present invention. Fig. 8 is a schematic diagram (5) of the implementation of the present invention. Fig. 9 is a schematic diagram (6) of the implementation of the present invention. FIG. 10 is a schematic flow chart of the implementation steps of the present invention. FIG. 11 is another embodiment (1) of the present invention. FIG. 12 is another embodiment (2) of the present invention. FIG. 13 is another embodiment (3) of the present invention.

1: Car body damage assessment assistance system

10: Mobile Devices

11: Cloud server

A: Identity confirmation information

B: Vehicle body model information

C: Vehicle damage information

D: Claims and Repair Information

Claims (10)

A vehicle damage assessment assistance system, which can be used in conjunction with a mobile device installed with a vehicle damage assistance program, comprising: a cloud server, having an operation processing module, the operation processing module forms information links with a database, a comparison module, an information receiving and sending module, and a contract generating module respectively; The vehicle damage assistance program generates identity confirmation information through the operation of a guidance module, and the identity confirmation information can be sent to the comparison module, and the comparison module can retrieve the database for comparison and analysis to generate A body model information; After receiving the vehicle body model information, the mobile device can cooperate with the operation of the guidance module to generate vehicle damage information; and The comparison module can receive the vehicle damage information through the information receiving module, and after retrieving the database for in-depth identification and analysis, cooperate with the contract generation module to generate a claim and repair information, and the claim and repair information can be for display on a display screen of the mobile device. The vehicle body damage assessment assistance system according to claim 1, wherein the guidance module has an alarm unit, an identification unit, a customer service unit, and a vehicle damage condition capture unit. The vehicle body damage assessment assistance system of claim 2, wherein the identity confirmation information can be generated by executing the identity recognition unit, and after receiving the vehicle body model information, the mobile device cooperates with executing the vehicle damage condition retrieval unit to generate the vehicle body model information. damage information. The vehicle body damage assessment assistance system of claim 1, wherein the database has an insurance unit, a vehicle damage unit, a vehicle type unit and a maintenance information unit. The vehicle body damage assessment assistance system of claim 4, wherein when the comparison module receives the identity confirmation information, it can retrieve the insurance unit of the database for comparison and analysis, and retrieve the model unit to generate the vehicle body model information, and when the comparison module receives the vehicle damage information, it can retrieve the vehicle damage unit in the database for comparative analysis, and retrieve an electronic data generated by the maintenance information unit and the contract generation module contract, and the claims and repair information is generated after integration. The vehicle body damage assessment assistance system of claim 1, wherein the information of the computing processing module is linked to an AI intelligent customer service module. The vehicle body damage assessment assistance system of claim 1, wherein the mobile device information has a GPS module, and the operation processing module information is linked to a dispatcher module, and the dispatcher module can receive the GPS module to generate a location information. An implementation method of a vehicle body damage assessment assistance system, comprising: A step of confirming the identity of the insured: a mobile device pre-downloads a vehicle damage assistance program, and after execution, a guide module is displayed on a display screen of the mobile device, and the mobile device can pass a guide module through a The identity recognition unit captures an image of a license plate of a vehicle to generate identity confirmation information; The step of sending vehicle body model information by a server: the identity confirmation information can be received by a comparison module of a cloud server, and the comparison module can further analyze and identify the data through a insurance unit in a database, To complete the confirmation of the insured's identity, and to retrieve a vehicle model unit in the database to generate a vehicle body model information; A step of transmitting vehicle damage information: after receiving the vehicle body model information, the mobile device can operate the vehicle body model information through the display screen to select the damaged part of the vehicle, and further execute the vehicle damage assistance program. a vehicle damage condition retrieval unit, which captures damage photos of various parts of the vehicle, and further generates vehicle damage information by combining the information generated after selecting the vehicle body model information; and A server performs an analysis and identification step: after the cloud server can receive the vehicle damage information, a training unit of the comparison module can further retrieve a vehicle damage unit in the database, and analyze the vehicle damage information relative to the vehicle damage information. and in-depth identification, and then generate a claim and repair information through a repair information unit in the database and a contract generation module, and the claim and repair information can be displayed on the display screen of the mobile device for the insured to choose follow-up processing Way. The method for implementing a vehicle damage assessment assistance system according to claim 8, wherein the vehicle damage assistance program has an alarm unit and a customer service unit, and the mobile device can make a call after executing the alarm unit or the customer service unit respectively. Go to the customer service hotline of the relevant police unit or insurance company. The implementation method of the vehicle body loss assessment assistance system according to claim 8, wherein the training unit can be LeNet, AlexNet, VGGnet, NIN, GoogLeNet, MobileNet, SqueezeNet, ResNet, SiameseNet, NASNet, RNN, SSD, Inception- One or a combination of ResNet, EfficientNet, Faster R-CNN, and YOLO.

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