CN107862614B - Method for preventing vehicle insurance fraud, storage device and vehicle-mounted terminal - Google Patents
Method for preventing vehicle insurance fraud, storage device and vehicle-mounted terminal Download PDFInfo
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- CN107862614B CN107862614B CN201711092904.1A CN201711092904A CN107862614B CN 107862614 B CN107862614 B CN 107862614B CN 201711092904 A CN201711092904 A CN 201711092904A CN 107862614 B CN107862614 B CN 107862614B
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Abstract
The invention discloses a method for preventing vehicle insurance cheating, a storage device and a vehicle-mounted terminal, wherein the method comprises the following steps: acquiring running data of the vehicle in real time, processing and analyzing the running data, and judging whether the vehicle has an accident or not; when an accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a background server of an insurance company through a background server of the vehicle-mounted terminal; after receiving the accident site data, the background server of the insurance company calls the accident sample database for comparison, determines the authenticity of the accident and outputs a damage assessment report, and provides corresponding claim settlement service according to the damage assessment report. The invention ensures the authenticity of the accident site data by sending the accident site data to the background server of the insurance company, prevents the behavior of cheating insurance by accident counterfeiting, enables the insurance company to know the accident situation in the first time, can provide claim settlement service for users in time and provides convenience for the users.
Description
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a method for preventing vehicle insurance cheating and insurance, a storage device and a vehicle-mounted terminal.
Background
Along with the continuous development of social economy, people's material life is more and more abundant, and the car almost becomes one of the indispensable instrument of each family trip, and along with the continuous development of electronic technology, the popularization of intelligent electronic equipment, concepts such as thing networking, big data, car networking are deep and keen, and intelligent on-vehicle trade shows a happy scene, brings more humanized experience and service for the car owner.
Meanwhile, with the penetration of insurance business in various industries, vehicle insurance is important in the heart of almost every vehicle user. However, in the prior art, a plurality of vehicle insurance fraud cases exist, and individual users forge vehicle accidents to fraud. The insurance company cannot obtain the most real accident situation in the shortest time, and is difficult to make the most accurate claim settlement scheme.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The invention provides a method for preventing vehicle insurance fraud, a storage device and a vehicle-mounted terminal aiming at solving the technical problem that an insurance company cannot acquire real accident situation at the first time and vehicle insurance fraud exists in the prior art.
The technical scheme adopted by the invention for solving the technical problem is as follows:
a method of preventing vehicle insurance fraud, wherein the method comprises:
acquiring running data of the vehicle in real time, processing and analyzing the running data, and judging whether the vehicle has an accident or not;
when an accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset background server of an insurance company through a background server of the vehicle-mounted terminal;
after receiving the accident site data, the background server of the insurance company calls a pre-stored accident sample database for comparison, determines the authenticity of the accident and outputs a damage assessment report, and provides corresponding claim settlement service according to the damage assessment report.
The method for preventing vehicle insurance cheating and insurance includes the steps of obtaining vehicle driving data in real time, processing and analyzing the driving data, and judging whether the vehicle has an accident or not before:
the method comprises the steps that a vehicle-mounted terminal is connected with a mobile terminal of a user through a 3G/4G communication network, Bluetooth or WIFI in advance;
the vehicle-mounted terminal and the mobile terminal are connected with a background server of the vehicle-mounted terminal through a 3G/4G communication network;
and connecting the background server of the vehicle-mounted terminal with the insurance company background server which is in a pre-signed agreement through a 3G/4G communication network.
The method for preventing the vehicle insurance cheating and insurance, wherein the step of acquiring the driving data of the vehicle in real time, processing and analyzing the driving data and judging whether the vehicle has an accident comprises the following steps:
the method comprises the following steps that pre-installed equipment on a vehicle acquires driving data of the vehicle every other preset time and preprocesses the driving data;
calling a preset data model to process and analyze the characteristic data and outputting the probability of the vehicle accidents;
and if the output probability is greater than or equal to the preset probability threshold value, judging that the current vehicle has an accident.
The method for preventing vehicle insurance cheating insurance, wherein the driving data of the vehicle comprises the following steps: GPS data, the travel speed of the vehicle, device status data of the vehicle, and current driving status data of the user.
The method for preventing vehicle insurance fraud, wherein the pre-installed equipment on the vehicle comprises: vehicle event data recorder, GPS big dipper positioner, gravity sensor and ADAS device.
The method for preventing vehicle insurance cheating and insurance, wherein when the accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset backstage server of an insurance company through a backstage server of the vehicle-mounted terminal comprises the following steps:
when the vehicle-mounted terminal judges that the current vehicle has an accident, acquiring video data when the accident occurs and video data of a current accident scene;
acquiring the time, the place and the vehicle information of the accident;
all the obtained data are packaged and uploaded to a background server of the vehicle-mounted terminal and stored;
and the background server of the vehicle-mounted terminal transmits the received data to a preset background server of an insurance company and stores the data.
The method for preventing vehicle insurance fraud and insurance, wherein when the accident is judged to have occurred, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset background server of an insurance company through a background server of the vehicle-mounted terminal, further comprising:
the vehicle-mounted terminal controls a mobile terminal of a user to start a preset window interface, shoots an accident scene through the window interface, and directly uploads a shot accident scene picture to a background server of an insurance company which has signed an agreement in advance.
The method for preventing vehicle insurance cheating insurance, wherein after receiving accident site data, a background server of the insurance company calls a pre-stored accident sample database for comparison, determines the authenticity of an accident and outputs a loss assessment report, and the providing of corresponding claim settlement services according to the loss assessment report comprises the following steps:
an accident sample database used for judging the authenticity and the severity of an accident is stored in a background server of an insurance company in advance;
after receiving the accident site data, a background server of the insurance company calls an accident sample database for comparison, analyzes the authenticity of the accident and the severity of the accident and outputs a corresponding damage assessment report;
and providing corresponding vehicle insurance claim settlement service according to the damage assessment report.
A memory device having a plurality of instructions stored thereon, wherein the instructions are adapted to be loaded and executed by a processor to implement the method of preventing car insurance fraud as recited in any one of the above.
An in-vehicle terminal, comprising: a processor, a storage device communicatively coupled to the processor, the storage device adapted to store a plurality of instructions; the processor is suitable for calling instructions in the storage device to execute the method for preventing the vehicle insurance fraud insurance.
The invention has the beneficial effects that: the invention can ensure the authenticity of the accident site data by acquiring the accident site data in real time and sending the accident site data to the preset background server of the insurance company, thereby effectively preventing the behavior of cheating insurance by accident counterfeiting.
Drawings
FIG. 1 is a flow chart of a first preferred embodiment of the method for preventing vehicle insurance fraud of the invention.
Fig. 2 is a functional block diagram of a preferred embodiment of the in-vehicle terminal of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a flow chart of a first preferred embodiment of the method for preventing vehicle insurance fraud of the present invention. The method for preventing the vehicle insurance cheating insurance comprises the following steps:
and S100, acquiring the running data of the vehicle in real time, processing and analyzing the running data, and judging whether the vehicle has an accident or not.
Preferably, the step S100 includes:
s101, acquiring running data of a vehicle by a device preinstalled on the vehicle every other preset time, and preprocessing the running data;
s200, calling a preset data model to process and analyze the characteristic data and outputting the accident probability of the vehicle;
and step S300, if the output probability is greater than or equal to a preset probability threshold value, judging that the current vehicle has an accident.
In specific implementation, the data of the accident scene is transmitted to the background server of the insurance company after the accident happens, so that the insurance company can know the accident situation at the first time and make corresponding claim settlement service in time. Therefore, the present invention needs to determine the accident in advance to determine whether the current vehicle has an accident. Preferably, the invention collects the driving data of the vehicle in the driving process in advance through equipment pre-installed on the vehicle, and analyzes the collected data. The device pre-installed on a vehicle comprises: vehicle event data recorder, GPS big dipper positioner, gravity sensor and ADAS device. The collected driving data includes: GPS data, the travel speed of the vehicle, device status data of the vehicle, and current driving status data of the user.
Further, when the vehicle is in the driving process, the pre-installed equipment can automatically collect the driving data, and of course, the invention can also automatically set the time for collecting the data, for example, the driving data can be collected every 10 minutes in advance. Or the data acquisition is started when the instant that the engine of the vehicle stops working is detected, and the data is acquired in time so as to know whether the vehicle has an accident or not.
The driving data collected by the invention are data with different dimensionalities, so that the driving data cannot be directly analyzed and needs to be preprocessed. The preprocessing includes dimensionality reduction of the collected data for more accurate analysis. Preferably, the invention adopts an autoencoder mode to carry out dimension reduction processing on the driving data, analyzes the data after dimension reduction, and learns one by using a self-encoding neural network
As a function of (c). That is, it is approximated to an identity function, thereby making it possible to
Close to the input driving data x. The identity function, though seemingly of little learning significance, can extract the required intermediate layer data from the input driving data when we add some restrictions to the self-coding neural network, such as limiting the number of hidden neurons. The intermediate layer data is the feature data.
Preferably, the invention also needs to establish a data model in advance, and the data model can be used for carrying out operation processing according to the characteristic data, analyzing the probability of the vehicle accident and conveniently judging whether the vehicle has the accident or not. Specifically, the invention collects a large amount of driving data in advance and preprocesses the driving data. The preprocessing mode also adopts an autoencoder (self-coding neural network) mode to extract intermediate layer data, namely characteristic data. Secondly, learning and data training are carried out on the feature data by adopting a logistic regression machine learning model; logistic regression is a probability nonlinear regression model, and is a multivariate analysis method for researching binary output classification. In the invention, the two classification properties of logistic regression are adopted to establish the relationship between the data training result and the characteristic data. That is, the observation results of the two classes are related to some influence factors, so as to estimate the probability of a certain result under some influence factors. The influencing factor is the characteristic data of the invention, and the occurrence of the result is the occurrence of the vehicle accident in the invention. Thus, a probabilistic nonlinear regression data model for outputting the probability of occurrence of the vehicle accident based on the inputted feature data is established. The core function of the data model is a Sigmoid function, and the calculation formula is as follows:
and performing two classifications through a Sigmoid function, and solving and updating the parameters by using a gradient descent algorithm. After the training of the data model is finished, the data model can be directly used, so that the vehicle can be obtained only by inputting the characteristic data into the probabilistic nonlinear regression data model of the invention and outputting a result of 0-1 by the data modelProbability of occurrence of an accident.
Of course, the data model of the present invention may be replaced by other models, for example, a Convolutional Neural Network (CNN) model may be used instead of the data model of the present invention, and the output of the accident probability of the vehicle may also be realized. The data model used in the invention is only one embodiment of the invention, and other data models capable of realizing probability output also belong to the protection scope of the invention
After the pre-installed equipment on the vehicle collects the driving data and converts the driving data into the characteristic data through preprocessing, the vehicle-mounted terminal receives the characteristic data, calls a pre-established data model and performs operation processing and analysis on the characteristic data. Therefore, the probability of the vehicle accident can be directly output through the probability type nonlinear regression data model. For example, when the speed of the vehicle is suddenly increased from 50km/h to 80km/h collected by a device preinstalled on the vehicle, the speed of the vehicle is suddenly changed at the moment, and the 80km/h exceeds the limited speed of the urban road. In addition, it is also obtained that the current braking function of the vehicle is failed, and the driver operates the steering wheel with one hand at the moment, the vehicle-mounted terminal integrates and preprocesses the data, and calls a preset data model to perform operation and analysis, so that a specific probability value is analyzed, for example, the output probability value is 0.8. And when the output probability is greater than or equal to a probability threshold value preset in the vehicle-mounted terminal (for example, the probability threshold value is 0.7), the vehicle is judged to have happened. Therefore, the method and the device can analyze the data of each dimension to obtain the accurate accident probability of the vehicle, and are convenient for accurately judging whether the current vehicle has the accident or not.
And S200, when the accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset backstage server of the insurance company through a backstage server of the vehicle-mounted terminal.
Preferably, the step S200 includes:
step S201, when the vehicle-mounted terminal judges that the current vehicle has an accident, acquiring video data when the accident occurs and video data of a current accident scene;
step S202, acquiring the time, the place and the vehicle information of the accident;
s203, packaging and uploading all the acquired data to a background server of the vehicle-mounted terminal, and storing the data;
and step S204, the background server side of the vehicle-mounted terminal transmits the received data to a preset background server of an insurance company and stores the data.
When the method is specifically implemented, the vehicle-mounted terminal is required to be connected with the mobile terminal in advance through a 3G/4G communication network, Bluetooth or WIFI; the vehicle-mounted terminal and the mobile terminal are connected with a background server through a 3G/4G communication network; and connecting the background server of the vehicle-mounted terminal with the insurance company background server which is in a pre-signed agreement through a 3G/4G communication network. Through the connection, the vehicle-mounted terminal, the mobile terminal, the background server of the vehicle-mounted terminal and the background server of the insurance company can be in communication connection, and data sharing is achieved.
Since the automobile data recorder device pre-installed on the vehicle can record the travel of the vehicle, when the vehicle-mounted terminal judges that the current vehicle has an accident, the vehicle-mounted terminal can immediately control the automobile data recorder to obtain the video data of the accident scene, and can also call the video data before and after the accident (for example, 5 seconds before and after the accident). And packaging and integrating the acquired video data, the accident occurrence time, the accident occurrence place and the accident vehicle information, uploading the video data to a background server of the vehicle-mounted terminal, and storing the video data. And after receiving the data, the background server of the vehicle-mounted terminal sends the data to a background server of an insurance company which has signed an agreement in advance, so that the insurance company can know the accident situation at the first time.
In addition, the present invention provides another way to provide the insurance company with incident scene data. After the vehicle has an accident, the vehicle-mounted terminal can control the mobile terminal to start a preset window interface, a user can shoot the accident scene through the window interface, and after shooting is completed, video data are directly uploaded to a background server of an insurance company which has signed an agreement in advance and stored. Because the user can only shoot the accident scene through the preset window interface on the mobile terminal and can not call the video from the photo album or other folders, the authenticity of the accident data is ensured, and the behavior of falsifying the accident scene to cheat the insurance is effectively prevented.
And step S300, after receiving the accident scene data, the background server of the insurance company calls a pre-stored accident sample database for comparison, determines the authenticity of the accident and outputs a damage assessment report, and provides corresponding claim settlement service according to the damage assessment report.
Preferably, the step S300 specifically includes:
step S301, storing an accident sample database for judging the authenticity and the severity of an accident in a background server of an insurance company in advance;
step S302, after receiving accident site data, a background server of an insurance company calls an accident sample database for comparison, analyzes the authenticity of an accident and the severity of the accident, and outputs a corresponding loss assessment report;
and step S303, providing corresponding vehicle insurance claim settlement service according to the damage assessment report.
In specific implementation, after receiving the accident scene data, the background server of the insurance company calls a pre-stored accident sample database for comparison. The accident sample database comprises a large amount of accident data, wherein the accident data comprises damage degree analysis of each part of the vehicle and image data with different degrees. Therefore, the insurance company can accurately analyze the authenticity and the severity of the current accident according to the accident sample database. Firstly, all accident site data transmitted to the insurance company background server are automatically collected in real time by equipment on the vehicle-mounted terminal and cannot be tampered by others, so that the authenticity of an accident can be confirmed. And secondly, the insurance company extracts the damaged part of the vehicle from the video data of the current accident site, compares the damaged part with the damaged part image of the same part in the accident sample database, judges the damage degree, obtains the severity of the accident and outputs a corresponding damage assessment report, and then provides corresponding claim settlement service according to the damage assessment report. Preferably, the invention sets different vehicle insurance claim settlement services for different damage assessment reports in advance. The damage assessment report includes severity levels of different accidents, such as light, medium and heavy accident level descriptions. And the settlement amount of the vehicle insurance corresponding to the loss assessment reports with different accident degrees is also different, so that the settlement can be carried out more effectively.
According to the invention, the accident field data is sent to the background server of the insurance company immediately after the accident occurs, so that the insurance company can know the accident occurrence at the first time and know the specific situation of the accident, and the insurance company can provide accurate claim settlement service in time, shorten the claim settlement period and provide convenience for users.
Based on the embodiment, the invention also discloses a vehicle-mounted terminal. As shown in fig. 2, includes: a processor (processor)10, a storage device (memory)20 connected to the processor 10; the processor 10 is configured to call program instructions in the storage device 20 to execute the method provided in the foregoing embodiments, for example, to execute:
s100, acquiring running data of the vehicle in real time, processing and analyzing the running data, and judging whether the vehicle has an accident or not;
s200, when an accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset backstage server of an insurance company through a backstage server of the vehicle-mounted terminal;
and step S300, after receiving the accident scene data, the background server of the insurance company calls a pre-stored accident sample database for comparison, determines the authenticity of the accident and outputs a damage assessment report, and provides corresponding claim settlement service according to the damage assessment report.
The embodiment of the invention also provides a storage device, wherein a computer instruction is stored on the storage device, and the computer instruction enables a computer to execute the method provided by each embodiment.
In summary, the storage device and the vehicle-mounted terminal for preventing vehicle insurance fraud provided by the invention comprise: acquiring running data of the vehicle in real time, processing and analyzing the running data, and judging whether the vehicle has an accident or not; when an accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset background server of an insurance company through a background server of the vehicle-mounted terminal; after receiving the accident site data, the background server of the insurance company calls a pre-stored accident sample database for comparison, determines the authenticity of the accident and outputs a damage assessment report, and provides corresponding claim settlement service according to the damage assessment report. The invention can ensure the authenticity of the accident site data by acquiring the accident site data in real time and sending the accident site data to the preset background server of the insurance company, thereby effectively preventing the behavior of cheating insurance by accident counterfeiting.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (8)
1. A method for preventing vehicle insurance fraud, the method comprising:
acquiring running data of the vehicle in real time, processing and analyzing the running data, and judging whether the vehicle has an accident or not;
when an accident is judged to occur, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset background server of an insurance company through a background server of the vehicle-mounted terminal;
after receiving accident site data, a background server of an insurance company calls a pre-stored accident sample database for comparison, determines the authenticity of an accident and outputs a loss assessment report, and provides corresponding claim settlement service according to the loss assessment report;
an accident sample database used for judging the authenticity and the severity of an accident is stored in a background server of an insurance company in advance;
the accident sample database comprises damage degree analysis of each part of the vehicle and image data of different degrees;
after receiving accident site data, a background server of an insurance company calls an accident sample database for comparison, analyzes the authenticity of an accident and the severity of the accident and outputs a corresponding damage assessment report, wherein the damage assessment report comprises the severity of different accidents;
determining the vehicle insurance claim settlement service and the vehicle insurance claim settlement amount corresponding to the loss assessment report according to the relationship between the preset loss assessment report and the vehicle insurance claim settlement service;
the real-time acquisition of the driving data of the vehicle, the processing and analysis of the driving data, and the judgment of whether the vehicle has an accident or not comprises the following steps:
the method comprises the following steps that pre-installed equipment on a vehicle acquires driving data of the vehicle every other preset time and preprocesses the driving data;
carrying out dimensionality reduction on the driving data in a self-coding neural network mode, and analyzing the driving data subjected to dimensionality reduction;
extracting intermediate layer data from the preprocessed driving data in a self-coding neural network mode to obtain characteristic data;
learning and data training the characteristic data through a logistic regression machine learning model to obtain a probability type nonlinear regression data model for outputting the vehicle accident occurrence probability according to the input characteristic data;
calling a preset data model to process and analyze the characteristic data and outputting the probability of the vehicle accidents;
and if the output probability is greater than or equal to the preset probability threshold value, judging that the current vehicle has an accident.
2. The method for preventing vehicle insurance fraud according to claim 1, wherein the obtaining of the driving data of the vehicle in real time, the processing and analyzing of the driving data, and the determining of whether the vehicle has an accident further comprises:
the method comprises the steps that a vehicle-mounted terminal is connected with a mobile terminal of a user through a 3G/4G communication network, Bluetooth or WIFI in advance;
the vehicle-mounted terminal and the mobile terminal are connected with a background server of the vehicle-mounted terminal through a 3G/4G communication network;
and connecting the background server of the vehicle-mounted terminal with the insurance company background server which is in a pre-signed agreement through a 3G/4G communication network.
3. The method for preventing vehicle insurance fraud according to claim 2, wherein the driving data of the vehicle includes:
GPS data, the travel speed of the vehicle, device status data of the vehicle, and current driving status data of the user.
4. The method for preventing vehicle insurance fraud according to claim 2, wherein the pre-installed equipment on the vehicle comprises: vehicle event data recorder, GPS big dipper positioner, gravity sensor and ADAS device.
5. The method for preventing vehicle insurance fraud according to claim 1, wherein the step of acquiring accident site data by the vehicle-mounted terminal and sending the accident site data to a preset backend server of an insurance company through the backend server of the vehicle-mounted terminal when the accident is determined to have occurred comprises:
when the vehicle-mounted terminal judges that the current vehicle has an accident, acquiring video data when the accident occurs and video data of a current accident scene;
acquiring the time, the place and the vehicle information of the accident;
all the obtained data are packaged and uploaded to a background server of the vehicle-mounted terminal and stored;
and the background server of the vehicle-mounted terminal transmits the received data to a preset background server of an insurance company and stores the data.
6. The method for preventing vehicle insurance fraud according to claim 5, wherein when it is determined that an accident has occurred, the vehicle-mounted terminal acquires accident site data and sends the accident site data to a preset backend server of an insurance company through a backend server of the vehicle-mounted terminal further comprises:
the vehicle-mounted terminal controls a mobile terminal of a user to start a preset window interface, shoots an accident scene through the window interface, and directly uploads a shot accident scene picture to a background server of an insurance company which has signed an agreement in advance.
7. A memory device having stored thereon a plurality of instructions adapted to be loaded and executed by a processor to carry out the method of preventing car insurance fraud according to any one of claims 1 to 6.
8. A vehicle-mounted terminal characterized by comprising: a processor, a storage device communicatively coupled to the processor, the storage device adapted to store a plurality of instructions; the processor is adapted to call instructions in the memory device to perform a method of implementing any of the above claims 1-6 to prevent vehicle insurance fraud.
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| CN108491821A (en) * | 2018-04-02 | 2018-09-04 | 深圳市亚来科技有限公司 | Vehicle insurance accident discrimination method, system and storage medium based on image procossing and deep learning |
| CN108955902B (en) * | 2018-04-28 | 2021-01-08 | 肖慎飞 | Method for identifying first accident site of vehicle to be damaged |
| CN108985950B (en) * | 2018-07-13 | 2023-04-18 | 平安科技（深圳）有限公司 | Electronic device, user fraud protection risk early warning method and storage medium |
| CN109658260A (en) * | 2018-12-10 | 2019-04-19 | 泰康保险集团股份有限公司 | Method and device, medium and electronic equipment are determined based on the fraud of block chain |
| CN109886820B (en) * | 2019-01-23 | 2024-05-28 | 平安科技（深圳）有限公司 | Accident vehicle identification method and terminal equipment |
| CN110443718B (en) * | 2019-07-17 | 2022-11-04 | 卓尔智联(武汉)研究院有限公司 | Vehicle insurance claim settlement method, computer device and readable storage medium |
| CN111260487A (en) * | 2020-01-20 | 2020-06-09 | 北京中科泽达科技有限公司 | Risk control method and device for vehicle insurance claim settlement |
| CN113222331B (en) * | 2021-03-29 | 2024-03-05 | 北京中交兴路信息科技有限公司 | Method, device, equipment and storage medium for identifying authenticity of vehicle accident |
| CN113554518A (en) * | 2021-04-01 | 2021-10-26 | 成都雅信安科技服务有限公司 | System for pricing car insurance through vehicle-mounted equipment |
| CN114170030B (en) * | 2021-12-08 | 2023-09-26 | 北京百度网讯科技有限公司 | Method, apparatus, electronic device and medium for remote damage assessment of vehicle |
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| US8214232B2 (en) * | 2010-04-22 | 2012-07-03 | Fair Isaac Corporation | Healthcare insurance claim fraud detection using datasets derived from multiple insurers |
| WO2013126866A1 (en) * | 2012-02-24 | 2013-08-29 | B3, Llc | Systems and methods for comprehensive insurance loss management and loss minimization |
| CN103500419A (en) * | 2013-07-30 | 2014-01-08 | 何则安 | Labor-free surveying method and system on vehicle insurance accident site |
| CN106021548A (en) * | 2016-05-27 | 2016-10-12 | 大连楼兰科技股份有限公司 | Remote damage assessment method and system based on distributed artificial intelligent image recognition |
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