CN106780048A - A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system - Google Patents
A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system Download PDFInfo
- Publication number
- CN106780048A CN106780048A CN201611064222.5A CN201611064222A CN106780048A CN 106780048 A CN106780048 A CN 106780048A CN 201611064222 A CN201611064222 A CN 201611064222A CN 106780048 A CN106780048 A CN 106780048A
- Authority
- CN
- China
- Prior art keywords
- client
- damage
- car
- service
- self
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- General Business, Economics & Management (AREA)
- Multimedia (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
Self-service Claims Resolution method, self-service Claims Resolution apparatus and system the invention discloses a kind of intelligent vehicle insurance.Wherein, a kind of self-service Claims Resolution method of intelligent vehicle insurance, it comprises the following steps：The vehicle insurance for receiving client is reported a case to the security authorities request；The identity code of client is recognized, and the license plate number of car owner is obtained according to the identity code, to client feedback license board information and the option being in danger by information；After signal is reported a case to the security authorities in the submission for receiving client, point out client to shoot car and damage photo and certificate relevant picture of insuring；After the photo for receiving client upload, client selection maintenance factory is pointed out；Photo to client upload carries out parts price, man-hour price and the car damage result calculating setting loss amount of money of image recognition, acquisition car damage result, and the maintenance factory selected according to client, feeds back to the client confirmation amount of money.The present invention realizes self-service Claims Resolution, and setting loss is participated in without surveying personnel, and Claims Resolution flow speed is fast.
Description
Technical field
The present invention relates to vehicle insurance Claims Resolution setting loss technology, self-service Claims Resolution method, the Self-booster of more particularly to a kind of intelligent vehicle insurance
Pay for apparatus and system.
Background technology
With the development of society, vehicular traffic is more and more, and vehicle participating insurance has been first hand after purchase vehicle
It is continuous.With increasing for vehicle, the absolute quantity of vehicle traffic accident is also mutually strained greatly.When the vehicle for being insured occurs traffic accident
When, car owner's first thing seeks to handle Claims Resolution.At present, vehicle insurance Claims Resolution mode dials company's electricity of insuring generally by car owner
Words, what company was insured in wait surveys personnel to dam site investigation, wait setting loss, to shops's presentate, etc. it is to be paid.Operating procedure is complicated
It is cumbersome, and Claims Resolution normal flow does, and generally requires 3-7 days, takes time and effort, the pain spot most worried with car as car owner it
One.Vehicle insurance industry, needs badly and seeks a kind of easily Claims Resolution mode and solve.
Thus prior art could be improved and improve.
The content of the invention
In view of above-mentioned the deficiencies in the prior art part, it is an object of the invention to provide a kind of self-service Claims Resolution of intelligent vehicle insurance
Method, self-service Claims Resolution apparatus and system, can be simplified operating procedure, are shortened Claims Resolution flow by the self-service Claims Resolution of client.
In order to achieve the above object, this invention takes following technical scheme：
A kind of self-service Claims Resolution method of intelligent vehicle insurance, it comprises the following steps：
The vehicle insurance for receiving client is reported a case to the security authorities request, and the vehicle insurance is reported a case to the security authorities the identity code of carrying client in request；
The identity code of client is recognized, and the license plate number of car owner is obtained according to the identity code, to client feedback
License board information and the option being in danger by information；
After signal is reported a case to the security authorities in the submission for receiving client, point out client to shoot car and damage photo and certificate relevant picture of insuring；
After the photo for receiving client upload, client selection maintenance factory is pointed out；
Photo to client upload carries out matching somebody with somebody for image recognition, acquisition car damage result, and the maintenance factory selected according to client
Part price, man-hour price and car damage result and calculate the setting loss amount of money, feed back to client and confirm the amount of money.
In the self-service Claims Resolution method of described intelligent vehicle insurance, the identity code of the identification client, and according to described
Identity code obtains the license plate number of car owner, the step of to client feedback license board information and the option for being in danger by information, also
Including：
Cell-phone number or micro-signal the identification insurer's car plate carried according to client, and strategical vantage point point is oriented, obtain associated vehicle
Information, association policy information, and when judging that self-service Claims Resolution can be handled, automatically generate the number of reporting a case to the security authorities.
It is described after signal is reported a case to the security authorities in the submission for receiving client in the self-service Claims Resolution method of described intelligent vehicle insurance, point out
Client shoot car damage photo and insure certificate relevant picture the step of in：When pointing out client to shoot car damage photo, display
The picture frame of each photographing request, when corresponding picture frame is triggered, triggering client opens camera applications.
It is described after signal is reported a case to the security authorities in the submission for receiving client in the self-service Claims Resolution method of described intelligent vehicle insurance, point out
Client shoot car damage photo and insure certificate relevant picture the step of also include：
When a photo has been shot, the photo is pre-processed, judge whether to meet photographing request, it is such as undesirable, carry
Show that user re-shoots.
In the self-service Claims Resolution method of described intelligent vehicle insurance, the photo to client upload carries out image recognition, obtains
Pick up the car and damage result, and the parts price of maintenance factory, man-hour price and the car selected according to client damage result and calculate setting loss gold
Volume, feed back to client confirm the amount of money the step of, including：
The photographic intelligence that collection client shoots；
Depth recognition is carried out to available picture, loss position and the extent of damage is analyzed, and judge loss position or loss journey
Whether degree exceeds preset range；
When position or the extent of damage is lost within a predetermined range, artificial background audit is submitted to；When recognition result is in preset range
When interior, then into the calculating of the setting loss amount of money.
In the self-service Claims Resolution method of described intelligent vehicle insurance, the step carries out depth recognition to available picture, analysis
Go out to lose position and the extent of damage, and judge the step of whether loss position or the extent of damage exceed preset range, including：
The car of client upload is damaged into photo to be contrasted with the magnanimity typical case in disaggregated model, and selection and damaged vehicle are received
Part and the consistent extent of damage control picture of damaged area information are damaged, damaged parts title and/or damaged area letter is determined
Breath；
Compare during car damage photo is compareed into picture with the extent of damage preset in extent of damage training aids, and select and be damaged
The relatively uniform extent of damage photograph and picture of the extent of damage of the damaged parts of vehicle；Believed according to damaged parts title and damaged area
Breath, is identified treatment, to determine extent of damage information to the impaired depth that car damages picture.
In the self-service Claims Resolution method of described intelligent vehicle insurance, the car by client upload is damaged in photo and disaggregated model
Magnanimity typical case contrasted, and select the extent of damage pair consistent with the damaged parts and damaged area information of damaged vehicle
Photograph and picture, the step of determine damaged parts title and/or damaged area information before, described vehicle insurance intelligence damage identification method is also
Including：
In vehicle Claims Resolution setting loss database, the typical sample to magnanimity carries out data prediction；
Feature extraction, and composition characteristic vector are carried out to each typical sample；
Characteristic vector is normalized；
Confirm typical sample corresponding damaged parts title and/or damaged area information；
Using characteristic vector and damaged parts title and/or damaged area information as the input and output of disaggregated model, training
And determine disaggregated model；
Car damage picture is put into disaggregated model and is analyzed identifying processing, determine damaged parts title and/or damaged area letter
Breath.
It is described to work as loss position or the extent of damage within a predetermined range in the self-service Claims Resolution method of described intelligent vehicle insurance
When, submit artificial background audit to；When recognition result within a predetermined range when, then the step of the calculating of the setting loss amount of money after,
Described vehicle insurance intelligence damage identification method also includes：
When the setting loss amount of money is confirmed, setting loss amount totals are shown by client and detailed Option Box is checked.
A kind of self-service Claims Resolution device of intelligent vehicle insurance, it includes：
Case receiver module, the vehicle insurance for receiving client is reported a case to the security authorities request, and the vehicle insurance to be reported a case to the security authorities and carry client in request
Identity code；
Identification module, the identity code for recognizing client, and the car of car owner is obtained according to the identity code
The trade mark；
Reminding module, for client feedback license board information and the option being in danger by information；
Module is instructed in shooting, after signal of being reported a case to the security authorities in the submission for receiving client, is pointed out client to shoot car and is damaged photo and throwing
Warranty element relevant picture；
The reminding module, is additionally operable to after the photo for receiving client upload, points out client selection maintenance factory, and provide dimension
Repair factory's option and list；
Setting loss module, image recognition is carried out for the photo to client upload, is obtained car and is damaged result, and is selected according to client
The parts price of maintenance factory, man-hour price and car damage result and calculate the setting loss amount of money, feed back to client and confirm the amount of money.
A kind of self-service Claims Resolution system of intelligent vehicle insurance, also includes：An at least client and described intelligent vehicle insurance it is self-service
Claims Resolution device, the self-service Claims Resolution system is using above-mentioned vehicle insurance intelligence damage identification method setting loss.
Compared to prior art, the present invention is realized and reported a case to the security authorities by client is self-service based on intelligent setting loss platform, autonomous selection
Maintenance factory, is uploaded to client using picture automatic identification technology and shoots the vehicle loss photo array and the treatment that need setting loss, system
Automatic decision identification vehicle loss position rapidly and efficiently, loss accessory and extent of damage weight, so as to calculate setting loss gold automatically
Volume, you can complete the self-service Claims Resolution of vehicle insurance, handles Claims Resolution mode of operation simply, and setting loss, Claims Resolution flow speed are participated in without surveying personnel
Degree is fast, and lifting setting loss automatization level, improves level of customer service.
Brief description of the drawings
The flow chart of the self-service Claims Resolution method of the intelligent vehicle insurance that Fig. 1 is provided for the present invention.
The flow chart of step S5 in the self-service Claims Resolution method of the intelligent vehicle insurance that Fig. 2 is provided for the present invention.
The flow chart of step S52 in the self-service Claims Resolution method of the intelligent vehicle insurance that Fig. 3 is provided for the present invention.
The structured flowchart of the self-service Claims Resolution device of the intelligent vehicle insurance that Fig. 4 is provided for the present invention.
Specific embodiment
The present invention provides self-service Claims Resolution method, the self-service Claims Resolution apparatus and system of intelligent vehicle insurance, based on intelligent setting loss platform,
Realize and reported a case to the security authorities by client is self-service, independently select maintenance factory, uploading shooting to client using picture automatic identification technology need to determine
Damage vehicle loss photo array and treatment, system rapidly and efficiently automatic decision identification vehicle loss position, loss accessory and
Extent of damage weight, so as to calculate the setting loss amount of money automatically, you can complete the self-service Claims Resolution of vehicle insurance, handles Claims Resolution mode of operation simply,
Personnel need not be surveyed and participate in setting loss, Claims Resolution flow speed is fast, and lifting setting loss automatization level, improves level of customer service.
To make the purpose of the present invention, technical scheme and effect clearer, clear and definite, develop simultaneously embodiment pair referring to the drawings
The present invention is further described.It should be appreciated that specific embodiment described herein is only used to explain the present invention, it is not used to
Limit the present invention.
Refer to Fig. 1, the flow chart of the self-service Claims Resolution method of the intelligent vehicle insurance that Fig. 1 is provided for the present invention, including following step
Suddenly：
S1, the vehicle insurance for receiving client are reported a case to the security authorities request, and the vehicle insurance is reported a case to the security authorities the identity code of carrying client in request.
In step sl, client（Such as smart mobile phone, panel computer）Applied by downloading APP, or concern wechat
Public number, into self-service Claims Resolution system, opens self-service function of reporting a case to the security authorities.Client sends vehicle insurance by APP or wechat public number
Report a case to the security authorities request when, register account number, cell-phone number or micro-signal will be automatically carried, in order to the identification to insurer's identity.
The identity code of S2, identification client, and the license plate number of car owner is obtained according to the identity code, to client
End feedback license board information and the option being in danger by information.
In step s 2, car owner's car plate can be obtained, and be sent to client by opening the cell-phone number of self-service function of reporting a case to the security authorities
Display.When there is car owner there are many cars under one's name, customer selecting is supplied in the form of option tab in client.But also user is provided
Input frame, for user input license plate number.Described being in danger include by information：Hit article（Wall, tree, guardrail etc.）；Car is drawn by others
, there is cut；Hit by other car, other side runs；Glass pane is only done to break, it is other to have nothing to do；I also can hardly be explained（Put this electricity
Words are reported a case to the security authorities）Deng option, in car plate and it is in danger after information is all selected, submission button of reporting a case to the security authorities could become green and carries from grey
Friendship is reported a case to the security authorities.
In step s 2, after user opens self-service Claims Resolution system, cell-phone number is first passed through（Or micro-signal）Identification insurer
Car plate, and strategical vantage point point is oriented, associated vehicle information, association policy information are obtained, and when judging that self-service Claims Resolution can be handled,
Automatically generate the number of reporting a case to the security authorities.
S3, after signal is reported a case to the security authorities in the submission for receiving client, point out client shoot car damage photo it is related to certificate of insuring
Photo.
In step s3, shoot car in prompting client and damage photo and certificate relevant picture of insuring（Certificate picture of insuring is looked after
Piece includes identity card, driving license etc.）When, the picture frame of each photographing request is shown, when corresponding picture frame is triggered, trigger client
Open camera applications.Wherein, the picture frame includes：Full car picture picture frame, loss distant view picture frame, loss close shot picture frame, loss are thin
Section picture frame, each picture frame is triggered into can shoot a photo.
When photo has been shot, to the pretreatment of taking pictures, judge whether to meet photographing request（Such as shooting angle, clear
Degree, camera distance etc.）, it is such as undesirable, point out user to re-shoot.Specifically, client shoots and uploads needs setting loss
Vehicle loses photo, and whether the photographic intelligence that system acquisition client shoots can use in the parsing information of client's upload pictures；Work as photograph
When there is disabled situation in piece, such as through image filtering, it is found that picture clarity is inadequate, focus on inaccurate or non-licence piece
When, which photographic intelligence of prompting client is unavailable and requirement re-shoots and uploads.
In addition, also providing the function of shooting more photos, such as user thinks that shooting photo is insufficient, or many cars need
Claims Resolution is handled simultaneously, multigroup picture frame can be now provided.After the completion of car damages photograph taking, that is, document photography picture frame is shown, according to
Identical mode shoots identity card, driving license, driver's license, insurer's bank card etc..Because implementation is identical, do not make herein in detail
State.
In step S3, temporary photo function is may also provide：Prompting has retained the photo of selection for user, treats user side
Uploaded again when just.
S4, after the photo for receiving client upload, point out client selection maintenance factory.
In step s 4, after photo success being passed on the client, prompt message is exported, and jump to selection maintenance factory page
Face.When maintenance factory is selected, preferential recommendation takes out the maintenance factory nearest from strategical vantage point point of company's cooperation of insuring, while providing other
Maintenance factory's list and the option of 4S shops list.After passing maintenance factory's selection on the client, customer selecting is stored.And in the step
In S4, after maintenance factory is selected, further work can carry out setting loss treatment, it is necessary to the regular hour, therefore herein can be to visitor
The message such as family end output setting loss scheduled time：Such as：System is being your setting loss, is taken around 2 minutes, please notes that we push away for you
The setting loss information sent；And staff's phone is shown, and it is easy to trade connection staff, inquire case.
S5, the photo to client upload carry out image recognition, obtain car and damage result, and the maintenance selected according to client
The parts price of factory, man-hour price and car damage result and calculate the setting loss amount of money, feed back to client and confirm the amount of money.
Fig. 2 is referred to, in step S5, the car damages result to be included：Vehicle loss position, loss accessory, the extent of damage are light
The project such as again, its processing procedure includes：The photographic intelligence that S51, collection client shoot；S52, depth is carried out to available picture
Identification, analyzes loss position and the extent of damage；S53, according to vehicle lose position, the extent of damage and accessory man-hour association close
System, calculates corresponding setting loss price, and form setting loss result.
Specifically, in image recognition, depth recognition is carried out to available picture, computer is according to loss recognition site
And the extent of damage, loss position and the extent of damage of vehicle are analyzed, recognition result is formed, draw position text information+loss
Degree text information；Whether within a predetermined range judge recognition result, when recognition result not within the predefined range when, such as lose
Degree is too big, or when by picture recognition, generation accuracy rate is less than certain value, vehicle free of losses, Fei Benche pictures（Color differs
Cause, license plate number does not meet）Or when being judged as PS pictures, relevant information is directly delivered artificial background audit by manpower intervention
Reason；When picture recognition result within a predetermined range when, when recognition result within a predetermined range when, then into the meter of the setting loss amount of money
Calculate.
Fig. 3 is referred to, during specific implementation, the step S52 comprises the following steps：
S521, the car of client upload is damaged photo contrasted with the magnanimity typical case in disaggregated model, and selection and impaired car
The consistent extent of damage control picture of damaged parts and damaged area information, determine damaged parts title and/or impaired
Area information；
S522, car damage photo is compareed into picture with the extent of damage preset in extent of damage training aids in compare, and select
The extent of damage control picture consistent with the extent of damage of the damaged parts of damaged vehicle；According to damaged parts title and impaired
Area information, is identified treatment, to determine extent of damage information to the impaired depth that car damages picture.
Before step S521, the preparation of magnanimity need to be done, make disaggregated model and extent of damage training aids.Such as exist
During train classification models, including：
S5201, the typical sample to magnanimity carry out data prediction；Typical sample, different damage faces such as each damaged parts
Each long-pending damaged parts typical sample carries out data prediction, such as analog-to-digital conversion, binaryzation, the smooth of image, conversion, increasing
By force, recover, filter etc.；
S5202, feature extraction is carried out to each typical sample, and composition characteristic vector；
S5203, characteristic vector is normalized；
S5204, confirmation typical sample corresponding damaged parts title and/or damaged area information；
It is S5205, the input of characteristic vector and damaged parts title and/or damaged area information as disaggregated model is defeated
Go out, train and determine disaggregated model；
S5206, car damage picture is put into disaggregated model and is analyzed identifying processing, determine damaged parts title and/or impaired
Area information.Wherein, disaggregated model is included according to the disaggregated model that any mode classification is set up in the prior art, such as SVM, pattra leaves
This algorithm, arest neighbors sorting algorithm, EM algorithm etc..
Before step S522, vehicle Claims Resolution setting loss database need to be advised, it includes：
Set up 3D car models using figure software is built, and by way of block model on 3D car models by the difference of vehicle
Position is divided into separate unit；
It is that divided separate unit sets up data label one by one in setting loss database is paid for, each data label correspondence difference is matched somebody with somebody
The extent of damage of the different stage of part；
The parts price of each accessory and the setting loss database of each maintenance factory, maintenance man-hours and man-hour price are associated
Parts price, man-hour price and car according to maintenance factory damage result and calculate the setting loss amount of money.
When the setting loss amount of money is calculated, according to the maintenance that vehicle, loss position, lost area, the extent of damage, client are selected
Setting loss scheme is searched from vehicle Claims Resolution setting loss database by factory, and calculates setting loss price.
The setting loss scheme is including loss accessory, the extent of damage, parts price, man-hour etc..Specifically, first, according to
The information such as vehicle brand, car system, vehicle, loss accessory, the extent of damage judge whether loss accessory is conventional fitment；If it is,
Then searched in man-hour storehouse according to vehicle, loss position and the extent of damage and selected man-hour project, searched in accessory storehouse and matched
Part project；Afterwards, Client-Prompt customer selecting maintenance factory is notified；Parts price, the man-hour valency of selected maintenance factory are called afterwards
Lattice, the calculating setting loss amount of money.
If including special accessory in loss accessory, looked into man-hour storehouse according to vehicle, loss position and the extent of damage
Look for and selected man-hour project, treated first man-hour, searched in accessory storehouse and selected accessory items, accessory to be selected, and submit manual examination and verification to, by
Artificial backstage confirms that the man-hour of accessory and correlation need to be changed, and reinforms Client-Prompt customer selecting maintenance factory；Afterwards according to institute
Select parts price, man-hour price, the calculating setting loss amount of money of maintenance factory.
It is preferred that the step S5 also includes：The car that storage client uploads damages photo, and certificate photograph, car damage result, card
Part information, car damage scheme, setting loss amount of money etc..Simultaneously before to the client feedback setting loss amount of money, fed back to by by setting loss result
People's platform auditing flow, to provide setting loss accuracy.
In step s 5, when the setting loss amount of money is confirmed, setting loss amount totals can be shown in client, and check detail simultaneously
Options for user checks detail.But also provide：Agree to, at once by money option；Renunciation of claim option；Do not think about also, after
Option is determined again.If user clicks " agreeing to, at once by money ", and client receives Claims Resolution money at once.If user clicks " abandoned
Claims Resolution ", jumps to the self-service cancellation page and completes to nullify automatically, and back to homepage.If user clicks and " does not consider also, determines later
It is fixed ", prompting, background work personnel active and trade connection are guided in automatic spring operation, are confirmed customer demand and are continued tracking.When
Customer selecting " agreement, at once by money ", redirects the service evaluation page automatically.
Wherein, after step s 5, the self-service Claims Resolution method of intelligent vehicle insurance of the invention may also include：Confirm in client
After the amount of money, invoice picture is sent to client.
After step s 5, the self-service Claims Resolution method of intelligent vehicle insurance of the invention may also include：Confirm the amount of money in client
Afterwards, service evaluation information is sent to client；So, vehicle insurance company just can be according to the unsatisfied evaluation of client to intelligent vehicle insurance system
System is improved.
The present invention is realized and reported a case to the security authorities by client is self-service based on intelligent setting loss platform, maintenance factory is independently selected, using picture
Automatic identification technology uploads to client and shoots the vehicle for needing setting loss and lose photo array and treatment, and system is sentenced by rapidly and efficiently automatic
It is disconnected to recognize vehicle loss position, loss accessory and extent of damage weight, so as to calculate the setting loss amount of money automatically, you can complete vehicle insurance certainly
Assistant is paid for, and handles Claims Resolution mode of operation simply, and setting loss is participated in without surveying personnel, and Claims Resolution flow speed is fast, and lifting setting loss
Automatization level, improves level of customer service.The present invention realize it is self-service report a case to the security authorities, prosthetic intelligence setting loss, maintenance factory's Self-booster
Compensation, online real-time interactive function, are the tremendous improvements in vehicle insurance intelligence Claims Resolution field.
Self-service Claims Resolution method based on above-mentioned intelligent vehicle insurance, the present invention correspondingly provides a kind of Self-booster of intelligent vehicle insurance
Device is paid for, as shown in figure 4, it includes：
Case receiver module 10, the vehicle insurance for receiving client is reported a case to the security authorities request, and the vehicle insurance to be reported a case to the security authorities and carry client in request
Identity code；
Identification module 20, the identity code for recognizing client, and obtain car owner's according to the identity code
License plate number；
Reminding module 30, for client feedback license board information and the option being in danger by information；
Module 40 is instructed in shooting, after signal of being reported a case to the security authorities in the submission for receiving client, point out client shoot car damage photo and
Insure certificate relevant picture；
The reminding module, is additionally operable to after the photo for receiving client upload, points out client selection maintenance factory, and provide dimension
Repair factory's option and list；
Setting loss module 50, image recognition is carried out for the photo to client upload, is obtained car and is damaged result, and is selected according to client
The parts price of the maintenance factory selected, man-hour price and car damage result and calculate the setting loss amount of money, feed back to client and confirm the amount of money.
The self-service Claims Resolution device realizes that the concrete mode of self-service Claims Resolution refers to the corresponding embodiment of the above method.
The present invention also provides a kind of self-service Claims Resolution system of intelligent vehicle insurance, it include above-mentioned self-service Claims Resolution device and as
One client.The self-service Claims Resolution device is data processing centre, and its function integrated can be realized on the server, the client
Can directly be applied by APP or wechat directly opened vehicle insurance and reported a case to the security authorities using smart mobile phone, panel computer etc..
In sum, self-service Claims Resolution method, the self-service Claims Resolution apparatus and system of a kind of intelligent vehicle insurance that the present invention is provided, it is real
Show and reported a case to the security authorities by client is self-service, independently selected maintenance factory, uploading shooting to client using picture automatic identification technology has needed setting loss
Vehicle loss photo array and treatment, system rapidly and efficiently automatic decision identification vehicle loss position, loss accessory and damage
Mistake degree weight, so as to calculate the setting loss amount of money automatically, you can complete the self-service Claims Resolution of vehicle insurance, handles Claims Resolution mode of operation simply, nothing
Personnel need to be surveyed and participate in setting loss, Claims Resolution flow speed is fast, and lifting setting loss automatization level, improves level of customer service.This
Invention realize it is self-service report a case to the security authorities, prosthetic intelligence setting loss, the self-service Claims Resolution of maintenance factory, online real-time interactive function, be vehicle insurance intelligence
The tremendous improvement in Claims Resolution field.
Meanwhile, it is also simple in user's operation, such as：Link of reporting a case to the security authorities saves the technical term that user does not understand, based on user
Scape provides concise option, reduces the photo that user needs to shoot, and reduces operation threshold；User can shoot simultaneously immediately after reporting a case to the security authorities
Uploading pictures, it is also possible to operated in subsequent idle, support different user's scenes and demand；Simple to operate, official documents and correspondence is popular easily
Understand；Each step has operation to guide, and reduces user learning cost；Emphasis operates secondary-confirmation, reduces maloperation；Claims Resolution flow pole
Simplify, progress is clear, hide complex business process link, it is only necessary to which the operation of 6 steps completes the service from reporting a case to the security authorities to commenting on.
It is understood that for those of ordinary skills, can be with technology according to the present invention scheme and its hair
Bright design is subject to equivalent or change, and all these changes or replacement should all belong to the guarantor of appended claims of the invention
Shield scope..
Claims (10)
1. a kind of self-service Claims Resolution method of intelligent vehicle insurance, it is characterised in that comprise the following steps：
The vehicle insurance for receiving client is reported a case to the security authorities request, and the vehicle insurance is reported a case to the security authorities the identity code of carrying client in request；
The identity code of client is recognized, and the license plate number of car owner is obtained according to the identity code, to client feedback
License board information and the option being in danger by information；
After signal is reported a case to the security authorities in the submission for receiving client, point out client to shoot car and damage photo and certificate relevant picture of insuring；
After the photo for receiving client upload, client selection maintenance factory is pointed out；
Photo to client upload carries out matching somebody with somebody for image recognition, acquisition car damage result, and the maintenance factory selected according to client
Part price, man-hour price and car damage result and calculate the setting loss amount of money, feed back to client and confirm the amount of money.
2. the self-service Claims Resolution method of intelligent vehicle insurance according to claim 1, it is characterised in that the body of the identification client
Part identification code, and the license plate number of car owner is obtained according to the identity code, to client feedback license board information and be in danger by
The step of option of information, also include：
Cell-phone number or micro-signal the identification insurer's car plate carried according to client, and strategical vantage point point is oriented, obtain associated vehicle
Information, association policy information, and when judging that self-service Claims Resolution can be handled, automatically generate the number of reporting a case to the security authorities.
3. the self-service Claims Resolution method of intelligent vehicle insurance according to claim 1 and 2, it is characterised in that described to receive client
The submission at end is reported a case to the security authorities after signal, point out client shoot car damage photo and insure certificate relevant picture the step of in：In prompting visitor
When family end shoots car damage photo, the picture frame of each photographing request is shown, when corresponding picture frame is triggered, triggering client opens phase
Machine application.
4. the self-service Claims Resolution method of intelligent vehicle insurance according to claim 1 and 2, it is characterised in that described to receive client
The submission at end is reported a case to the security authorities after signal, point out client shoot car damage photo and insure certificate relevant picture the step of also include：
When a photo has been shot, the photo is pre-processed, judge whether to meet photographing request, it is such as undesirable, carry
Show that user re-shoots.
5. vehicle insurance according to claim 1 intelligence damage identification method, it is characterised in that the photo to client upload enters
Row image recognition, obtains car and damages result, and the parts price of maintenance factory, man-hour price and the car that are selected according to client damage knot
Fruit calculate the setting loss amount of money, feed back to client confirm the amount of money the step of, including：
The photographic intelligence that collection client shoots；
Depth recognition is carried out to available picture, loss position and the extent of damage is analyzed；
Position, the extent of damage and accessory man-hour incidence relation are lost according to vehicle, corresponding setting loss price is calculated, and form setting loss
As a result.
6. vehicle insurance according to claim 5 intelligence damage identification method, it is characterised in that the step is carried out to available picture
Whether depth recognition, analyzes loss position and the extent of damage, and judge to lose position or the extent of damage beyond preset range
Step, including：
The car of client upload is damaged into photo to be contrasted with the magnanimity typical case in disaggregated model, and selection and damaged vehicle are received
Part and the consistent extent of damage control picture of damaged area information are damaged, damaged parts title and/or damaged area letter is determined
Breath；
Compare during car damage photo is compareed into picture with the extent of damage preset in extent of damage training aids, and select and be damaged
The relatively uniform extent of damage photograph and picture of the extent of damage of the damaged parts of vehicle；Believed according to damaged parts title and damaged area
Breath, is identified treatment, to determine extent of damage information to the impaired depth that car damages picture.
7. vehicle insurance according to claim 6 intelligence damage identification method, it is characterised in that the car by client upload is damaged and shone
Piece is contrasted with the magnanimity typical case in disaggregated model, and selects damaged parts and damaged area information phase one with damaged vehicle
The extent of damage control picture of cause, the step of determine damaged parts title and/or damaged area information before, described vehicle insurance
Intelligent damage identification method also includes：
In vehicle Claims Resolution setting loss database, the typical sample to magnanimity carries out data prediction；
Feature extraction, and composition characteristic vector are carried out to each typical sample；
Characteristic vector is normalized；
Confirm typical sample corresponding damaged parts title and/or damaged area information；
Using characteristic vector and damaged parts title and/or damaged area information as the input and output of disaggregated model, training
And determine disaggregated model；
Car damage picture is put into disaggregated model and is analyzed identifying processing, determine damaged parts title and/or damaged area letter
Breath.
8. vehicle insurance according to claim 5 intelligence damage identification method, it is characterised in that described when loss position or the extent of damage
When within a predetermined range, artificial background audit is submitted to；When recognition result within a predetermined range when, then into the calculating of the setting loss amount of money
The step of after, described vehicle insurance intelligence damage identification method also includes：
When the setting loss amount of money is confirmed, setting loss amount totals are shown by client and detailed Option Box is checked.
9. the self-service Claims Resolution device of a kind of intelligent vehicle insurance, it is characterised in that including：
Case receiver module, the vehicle insurance for receiving client is reported a case to the security authorities request, and the vehicle insurance to be reported a case to the security authorities and carry client in request
Identity code；
Identification module, the identity code for recognizing client, and the car of car owner is obtained according to the identity code
The trade mark；
Reminding module, for client feedback license board information and the option being in danger by information；
Module is instructed in shooting, after signal of being reported a case to the security authorities in the submission for receiving client, is pointed out client to shoot car and is damaged photo and throwing
Warranty element relevant picture；
The reminding module, is additionally operable to after the photo for receiving client upload, points out client selection maintenance factory, and provide dimension
Repair factory's option and list；
Setting loss module, image recognition is carried out for the photo to client upload, is obtained car and is damaged result, and is selected according to client
The parts price of maintenance factory, man-hour price and car damage result and calculate the setting loss amount of money, feed back to client and confirm the amount of money.
10. the self-service Claims Resolution system of a kind of intelligent vehicle insurance, it is characterised in that also include：An at least client and such as claim 9
The self-service Claims Resolution device of described intelligent vehicle insurance, the self-service Claims Resolution system is using the car described in claim 1-7 any one
Danger intelligence damage identification method setting loss.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611064222.5A CN106780048A (en) | 2016-11-28 | 2016-11-28 | A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611064222.5A CN106780048A (en) | 2016-11-28 | 2016-11-28 | A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106780048A true CN106780048A (en) | 2017-05-31 |
Family
ID=58904431
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611064222.5A Pending CN106780048A (en) | 2016-11-28 | 2016-11-28 | A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106780048A (en) |
Cited By (64)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107292749A (en) * | 2017-08-04 | 2017-10-24 | 平安科技（深圳）有限公司 | Car damages sorting technique, system and the readable storage medium storing program for executing of certificate photograph |
| CN107730215A (en) * | 2017-11-08 | 2018-02-23 | 泰康保险集团股份有限公司 | Settlement of insurance claim on-line processing method and system |
| CN107742208A (en) * | 2017-11-23 | 2018-02-27 | 中国平安财产保险股份有限公司 | Vehicle is in danger querying method, device, equipment and the computer media of flow |
| CN107909378A (en) * | 2017-12-07 | 2018-04-13 | 泰康保险集团股份有限公司 | Information of vehicles checking method and device, storage medium, electronic equipment |
| CN107993154A (en) * | 2017-11-28 | 2018-05-04 | 甜新科技（上海）有限公司 | A kind of method that efficient multitask is remotely reconnoitred in settlement of insurance claim |
| CN108009930A (en) * | 2017-12-19 | 2018-05-08 | 浙江儒山科技有限公司 | Car insurance management method based on internet and mobile Internet |
| CN108090747A (en) * | 2018-01-25 | 2018-05-29 | 中国平安财产保险股份有限公司 | Self-service method, apparatus of validating the car, equipment and the computer storage media that vehicle insurance core is protected |
| CN108280769A (en) * | 2018-02-01 | 2018-07-13 | 阿里巴巴集团控股有限公司 | The data processing method of Claims Resolution business, device, electronic equipment, server |
| CN108320233A (en) * | 2018-02-26 | 2018-07-24 | 平安科技（深圳）有限公司 | Annotation generation method, device and the computer readable storage medium of bill |
| CN108335217A (en) * | 2018-01-25 | 2018-07-27 | 中国平安财产保险股份有限公司 | Simulation Claims Resolution method, apparatus, equipment and the computer storage media that vehicle is in danger |
| CN108335214A (en) * | 2017-06-21 | 2018-07-27 | 平安科技（深圳）有限公司 | Self-service Claims Resolution method, server and computer readable storage medium |
| CN108413891A (en) * | 2018-01-25 | 2018-08-17 | 北京威远图易数字科技有限公司 | Vehicle loss measurement method and apparatus |
| 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 |
| CN108596047A (en) * | 2018-03-30 | 2018-09-28 | 上海与德通讯技术有限公司 | Vehicle damages recognition methods, intelligent terminal and computer readable storage medium |
| CN108764046A (en) * | 2018-04-26 | 2018-11-06 | 平安科技（深圳）有限公司 | Generating means, method and the computer readable storage medium of vehicle damage disaggregated model |
| CN108769624A (en) * | 2018-07-09 | 2018-11-06 | 北京精友世纪软件技术有限公司 | It is a kind of intelligence vehicle insurance mobile video survey system |
| CN108876640A (en) * | 2018-07-07 | 2018-11-23 | 北京精友世纪软件技术有限公司 | A kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence |
| CN108898503A (en) * | 2018-07-05 | 2018-11-27 | 北京精友世纪软件技术有限公司 | Loss assessment system is surveyed in a kind of movement based on mobile Internet |
| CN108898500A (en) * | 2018-06-25 | 2018-11-27 | 平安科技（深圳）有限公司 | Measuring method, device, computer equipment and the storage medium of house property Claims Resolution |
| CN108897882A (en) * | 2018-07-05 | 2018-11-27 | 北京精友时代信息技术发展有限公司 | A kind of accessory basic data management system for serving vehicle insurance |
| CN108932668A (en) * | 2018-07-10 | 2018-12-04 | 北京精友世纪软件技术有限公司 | A kind of online setting loss and Claims Resolution system based on image and video |
| CN108961085A (en) * | 2018-07-09 | 2018-12-07 | 北京精友世纪软件技术有限公司 | A kind of vehicle insurance intelligence loss assessment system and method |
| CN108961084A (en) * | 2018-07-07 | 2018-12-07 | 北京精友世纪软件技术有限公司 | A kind of AI car damage identification Claims Resolution system and method for supporting cell phone client |
| CN108985716A (en) * | 2018-07-06 | 2018-12-11 | 北京精友世纪软件技术有限公司 | A kind of artificial intelligence is settled a claim loss assessment system online |
| CN109034594A (en) * | 2018-07-19 | 2018-12-18 | 金贝万联（北京）科技发展有限公司 | A kind of vehicle business management platform |
| CN109040592A (en) * | 2018-08-22 | 2018-12-18 | 阿里巴巴集团控股有限公司 | The method and apparatus for controlling shooting angle |
| CN109034734A (en) * | 2018-07-06 | 2018-12-18 | 北京精友世纪软件技术有限公司 | A kind of method and its system of long-range processing vehicle insurance Claims Resolution business |
| WO2019000996A1 (en) * | 2017-06-25 | 2019-01-03 | 平安科技（深圳）有限公司 | Device and method for processing insurance underwriting information, and computer-readable storage medium |
| CN109145903A (en) * | 2018-08-22 | 2019-01-04 | 阿里巴巴集团控股有限公司 | A kind of image processing method and device |
| CN109325335A (en) * | 2018-10-15 | 2019-02-12 | 深圳壹账通智能科技有限公司 | System safety method, device, computer equipment and storage medium |
| CN109345395A (en) * | 2018-09-12 | 2019-02-15 | 医倍思特（北京）医疗信息技术有限公司 | A kind of anti-fake system and method for settlement of insurance claim |
| CN109427013A (en) * | 2017-12-15 | 2019-03-05 | 中国平安财产保险股份有限公司 | Vehicle is in danger processing method, device, equipment and the storage medium of agent service |
| CN109508797A (en) * | 2018-12-14 | 2019-03-22 | 深圳壹账通智能科技有限公司 | Vehicle insurance Claims Resolution method and relevant device based on block chain |
| CN109523389A (en) * | 2018-09-19 | 2019-03-26 | 平安科技（深圳）有限公司 | Vehicle damage processing method, device, equipment and medium based on image recognition |
| CN109711566A (en) * | 2018-12-14 | 2019-05-03 | 中国平安财产保险股份有限公司 | Method for maintaining of reporting a case to the security authorities, device and computer equipment based on site map |
| CN109712002A (en) * | 2018-12-04 | 2019-05-03 | 闽江学院 | The control method of parking lot scratch danger system |
| CN109785166A (en) * | 2018-12-14 | 2019-05-21 | 中国平安财产保险股份有限公司 | Insurance based on site map is reported a case to the security authorities method, apparatus and computer equipment |
| CN109903172A (en) * | 2019-01-31 | 2019-06-18 | 阿里巴巴集团控股有限公司 | Claims Resolution information extracting method and device, electronic equipment |
| CN109919785A (en) * | 2019-02-22 | 2019-06-21 | 德联易控科技(北京)有限公司 | Assessment processing method, apparatus, equipment and the storage medium of car damage identification |
| CN109934543A (en) * | 2017-12-15 | 2019-06-25 | 中国平安财产保险股份有限公司 | Self-service Claims Resolution method, apparatus, equipment and the computer storage medium of vehicle insurance |
| CN110009508A (en) * | 2018-12-25 | 2019-07-12 | 阿里巴巴集团控股有限公司 | A kind of vehicle insurance compensates method and system automatically |
| CN110210699A (en) * | 2019-04-18 | 2019-09-06 | 深圳壹账通智能科技有限公司 | Intelligent dispatching method, device, electronic equipment and storage medium |
| WO2019205376A1 (en) * | 2018-04-26 | 2019-10-31 | 平安科技（深圳）有限公司 | Vehicle damage determination method, server, and storage medium |
| CN110443716A (en) * | 2019-06-17 | 2019-11-12 | 中国平安财产保险股份有限公司 | Claims Resolution method, apparatus, computer equipment and storage medium |
| CN110599355A (en) * | 2019-09-12 | 2019-12-20 | 腾讯科技（深圳）有限公司 | Block chain-based vehicle insurance information system, insurance policy registration method and claim settlement method |
| WO2020024407A1 (en) * | 2018-08-03 | 2020-02-06 | 平安科技（深圳）有限公司 | Electronic device, method for intelligently processing car insurance claim, and storage medium |
| CN110826732A (en) * | 2019-10-24 | 2020-02-21 | 郑秀美 | Method and platform for assigning maintenance delay insurance application claims |
| WO2020088076A1 (en) * | 2018-10-31 | 2020-05-07 | 阿里巴巴集团控股有限公司 | Image labeling method, device, and system |
| CN111193868A (en) * | 2020-01-09 | 2020-05-22 | 中保车服科技服务股份有限公司 | Photographing method and device for vehicle insurance survey, computer equipment and readable storage medium |
| CN111259848A (en) * | 2020-01-22 | 2020-06-09 | 苏州华兴源创科技股份有限公司 | Vehicle loss assessment method, vehicle loss assessment system, computer equipment and medium |
| CN111311540A (en) * | 2020-01-13 | 2020-06-19 | 平安科技（深圳）有限公司 | Vehicle damage assessment method and device, computer equipment and storage medium |
| CN111553285A (en) * | 2020-04-29 | 2020-08-18 | 上海智勘科技有限公司 | Method and system for protecting user privacy information in vehicle remote damage assessment process |
| CN111726558A (en) * | 2019-03-20 | 2020-09-29 | 腾讯科技（深圳）有限公司 | On-site survey information acquisition method and device, computer equipment and storage medium |
| CN111902830A (en) * | 2018-03-23 | 2020-11-06 | 住友重机械工业株式会社 | Support device for construction machine |
| CN112036283A (en) * | 2020-08-25 | 2020-12-04 | 湖北经济学院 | Intelligent vehicle damage assessment image identification method |
| CN112348011A (en) * | 2020-09-10 | 2021-02-09 | 小灵狗出行科技有限公司 | Vehicle damage assessment method and device and storage medium |
| CN112348712A (en) * | 2020-09-15 | 2021-02-09 | 贝壳技术有限公司 | Room-viewing guidance method and system |
| CN112785149A (en) * | 2021-01-21 | 2021-05-11 | 中国平安财产保险股份有限公司 | Automatic vehicle claims settlement and damage assessment method and system, computer equipment and storage medium |
| CN112990868A (en) * | 2021-03-12 | 2021-06-18 | 中国平安财产保险股份有限公司 | Method, system, equipment and storage medium for automatic vehicle insurance claims |
| US11341746B2 (en) * | 2017-11-21 | 2022-05-24 | Advanced New Technologies Co., Ltd. | Method and apparatus for identifying a damaged part of a vehicle, server, client and system |
| CN115631002A (en) * | 2022-12-08 | 2023-01-20 | 邦邦汽车销售服务(北京)有限公司 | Intelligent damage assessment method and system for vehicle insurance based on computer vision |
| CN115810134A (en) * | 2023-02-14 | 2023-03-17 | 之江实验室 | Image acquisition quality inspection method, system and device for preventing car insurance from cheating |
| CN116796279A (en) * | 2023-08-28 | 2023-09-22 | 德联易控科技(北京)有限公司 | Vehicle loss detection method, system and equipment based on four-wheel positioning data and big data |
| TWI818181B (en) * | 2020-06-23 | 2023-10-11 | 新局數位科技有限公司 | Car damage assessment system and implementation method thereof |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202904666U (en) * | 2012-06-28 | 2013-04-24 | 江苏汉德天坤数字技术有限公司 | A self-service car insurance claim system |
| KR20130091369A (en) * | 2012-02-07 | 2013-08-19 | 김산배 | Used car trading system using mobile application |
| CN103310223A (en) * | 2013-03-13 | 2013-09-18 | 四川天翼网络服务有限公司 | Vehicle loss assessment system based on image recognition and method thereof |
| CN103824154A (en) * | 2014-02-08 | 2014-05-28 | 刘文书 | Vehicle on-line accident solution method and system |
| CN105005853A (en) * | 2015-07-07 | 2015-10-28 | 广州市三信汽车信息咨询有限公司 | Automotive aftermarket service management system |
| CN105550756A (en) * | 2015-12-08 | 2016-05-04 | 优易商业管理成都有限公司 | Vehicle rapid damage determination method based on simulation of vehicle damages |
| CN105678622A (en) * | 2016-01-07 | 2016-06-15 | 平安科技（深圳）有限公司 | Analysis method and system for vehicle insurance claim-settlement photos |
| CN105719188A (en) * | 2016-01-22 | 2016-06-29 | 平安科技（深圳）有限公司 | Method and server for achieving insurance claim anti-fraud based on consistency of multiple pictures |
| CN105956667A (en) * | 2016-04-14 | 2016-09-21 | 平安科技（深圳）有限公司 | Automobile insurance loss assessment claim auditing method and automobile insurance loss assessment claim auditing system |
| 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 |
| CN106131206A (en) * | 2016-08-01 | 2016-11-16 | 深圳市永兴元科技有限公司 | Car accident reconnaissance at criminal scene method and apparatus |
-
2016
- 2016-11-28 CN CN201611064222.5A patent/CN106780048A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130091369A (en) * | 2012-02-07 | 2013-08-19 | 김산배 | Used car trading system using mobile application |
| CN202904666U (en) * | 2012-06-28 | 2013-04-24 | 江苏汉德天坤数字技术有限公司 | A self-service car insurance claim system |
| CN103310223A (en) * | 2013-03-13 | 2013-09-18 | 四川天翼网络服务有限公司 | Vehicle loss assessment system based on image recognition and method thereof |
| CN103824154A (en) * | 2014-02-08 | 2014-05-28 | 刘文书 | Vehicle on-line accident solution method and system |
| CN105005853A (en) * | 2015-07-07 | 2015-10-28 | 广州市三信汽车信息咨询有限公司 | Automotive aftermarket service management system |
| CN105550756A (en) * | 2015-12-08 | 2016-05-04 | 优易商业管理成都有限公司 | Vehicle rapid damage determination method based on simulation of vehicle damages |
| CN105678622A (en) * | 2016-01-07 | 2016-06-15 | 平安科技（深圳）有限公司 | Analysis method and system for vehicle insurance claim-settlement photos |
| CN105719188A (en) * | 2016-01-22 | 2016-06-29 | 平安科技（深圳）有限公司 | Method and server for achieving insurance claim anti-fraud based on consistency of multiple pictures |
| CN105956667A (en) * | 2016-04-14 | 2016-09-21 | 平安科技（深圳）有限公司 | Automobile insurance loss assessment claim auditing method and automobile insurance loss assessment claim auditing system |
| 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 |
| CN106131206A (en) * | 2016-08-01 | 2016-11-16 | 深圳市永兴元科技有限公司 | Car accident reconnaissance at criminal scene method and apparatus |
Non-Patent Citations (1)
| Title |
|---|
| 张强: "一种移动车险理赔方法", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (77)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108335214A (en) * | 2017-06-21 | 2018-07-27 | 平安科技（深圳）有限公司 | Self-service Claims Resolution method, server and computer readable storage medium |
| WO2018233351A1 (en) * | 2017-06-21 | 2018-12-27 | 平安科技（深圳）有限公司 | Self-service claim method and device, server, and computer readable storage medium |
| WO2019000996A1 (en) * | 2017-06-25 | 2019-01-03 | 平安科技（深圳）有限公司 | Device and method for processing insurance underwriting information, and computer-readable storage medium |
| CN107292749A (en) * | 2017-08-04 | 2017-10-24 | 平安科技（深圳）有限公司 | Car damages sorting technique, system and the readable storage medium storing program for executing of certificate photograph |
| CN107730215A (en) * | 2017-11-08 | 2018-02-23 | 泰康保险集团股份有限公司 | Settlement of insurance claim on-line processing method and system |
| US11341746B2 (en) * | 2017-11-21 | 2022-05-24 | Advanced New Technologies Co., Ltd. | Method and apparatus for identifying a damaged part of a vehicle, server, client and system |
| CN107742208A (en) * | 2017-11-23 | 2018-02-27 | 中国平安财产保险股份有限公司 | Vehicle is in danger querying method, device, equipment and the computer media of flow |
| CN107993154A (en) * | 2017-11-28 | 2018-05-04 | 甜新科技（上海）有限公司 | A kind of method that efficient multitask is remotely reconnoitred in settlement of insurance claim |
| CN107909378A (en) * | 2017-12-07 | 2018-04-13 | 泰康保险集团股份有限公司 | Information of vehicles checking method and device, storage medium, electronic equipment |
| CN107909378B (en) * | 2017-12-07 | 2022-01-11 | 泰康保险集团股份有限公司 | Vehicle information auditing method and device, storage medium and electronic equipment |
| CN109934543A (en) * | 2017-12-15 | 2019-06-25 | 中国平安财产保险股份有限公司 | Self-service Claims Resolution method, apparatus, equipment and the computer storage medium of vehicle insurance |
| CN109427013A (en) * | 2017-12-15 | 2019-03-05 | 中国平安财产保险股份有限公司 | Vehicle is in danger processing method, device, equipment and the storage medium of agent service |
| CN108009930A (en) * | 2017-12-19 | 2018-05-08 | 浙江儒山科技有限公司 | Car insurance management method based on internet and mobile Internet |
| CN108413891A (en) * | 2018-01-25 | 2018-08-17 | 北京威远图易数字科技有限公司 | Vehicle loss measurement method and apparatus |
| CN108335217A (en) * | 2018-01-25 | 2018-07-27 | 中国平安财产保险股份有限公司 | Simulation Claims Resolution method, apparatus, equipment and the computer storage media that vehicle is in danger |
| CN108090747A (en) * | 2018-01-25 | 2018-05-29 | 中国平安财产保险股份有限公司 | Self-service method, apparatus of validating the car, equipment and the computer storage media that vehicle insurance core is protected |
| CN108335217B (en) * | 2018-01-25 | 2020-11-13 | 中国平安财产保险股份有限公司 | Method, device, equipment and computer storage medium for simulating claims settlement of vehicle insurance |
| CN108280769A (en) * | 2018-02-01 | 2018-07-13 | 阿里巴巴集团控股有限公司 | The data processing method of Claims Resolution business, device, electronic equipment, server |
| CN108320233A (en) * | 2018-02-26 | 2018-07-24 | 平安科技（深圳）有限公司 | Annotation generation method, device and the computer readable storage medium of bill |
| CN111902830A (en) * | 2018-03-23 | 2020-11-06 | 住友重机械工业株式会社 | Support device for construction machine |
| CN108596047A (en) * | 2018-03-30 | 2018-09-28 | 上海与德通讯技术有限公司 | Vehicle damages recognition methods, intelligent terminal and computer readable storage medium |
| 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 |
| CN108764046A (en) * | 2018-04-26 | 2018-11-06 | 平安科技（深圳）有限公司 | Generating means, method and the computer readable storage medium of vehicle damage disaggregated model |
| WO2019205376A1 (en) * | 2018-04-26 | 2019-10-31 | 平安科技（深圳）有限公司 | Vehicle damage determination method, server, and storage medium |
| CN108898500A (en) * | 2018-06-25 | 2018-11-27 | 平安科技（深圳）有限公司 | Measuring method, device, computer equipment and the storage medium of house property Claims Resolution |
| WO2020000759A1 (en) * | 2018-06-25 | 2020-01-02 | 平安科技（深圳）有限公司 | Property claim calculation method, device, computer apparatus, and storage medium |
| CN108897882A (en) * | 2018-07-05 | 2018-11-27 | 北京精友时代信息技术发展有限公司 | A kind of accessory basic data management system for serving vehicle insurance |
| CN108898503A (en) * | 2018-07-05 | 2018-11-27 | 北京精友世纪软件技术有限公司 | Loss assessment system is surveyed in a kind of movement based on mobile Internet |
| CN108985716A (en) * | 2018-07-06 | 2018-12-11 | 北京精友世纪软件技术有限公司 | A kind of artificial intelligence is settled a claim loss assessment system online |
| CN109034734A (en) * | 2018-07-06 | 2018-12-18 | 北京精友世纪软件技术有限公司 | A kind of method and its system of long-range processing vehicle insurance Claims Resolution business |
| CN108961084A (en) * | 2018-07-07 | 2018-12-07 | 北京精友世纪软件技术有限公司 | A kind of AI car damage identification Claims Resolution system and method for supporting cell phone client |
| CN108876640A (en) * | 2018-07-07 | 2018-11-23 | 北京精友世纪软件技术有限公司 | A kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence |
| CN108769624B (en) * | 2018-07-09 | 2020-09-22 | 北京精友世纪软件技术有限公司 | Intelligent automobile insurance mobile video surveying system |
| CN108961085A (en) * | 2018-07-09 | 2018-12-07 | 北京精友世纪软件技术有限公司 | A kind of vehicle insurance intelligence loss assessment system and method |
| CN108769624A (en) * | 2018-07-09 | 2018-11-06 | 北京精友世纪软件技术有限公司 | It is a kind of intelligence vehicle insurance mobile video survey system |
| CN108932668A (en) * | 2018-07-10 | 2018-12-04 | 北京精友世纪软件技术有限公司 | A kind of online setting loss and Claims Resolution system based on image and video |
| CN109034594A (en) * | 2018-07-19 | 2018-12-18 | 金贝万联（北京）科技发展有限公司 | A kind of vehicle business management platform |
| WO2020024407A1 (en) * | 2018-08-03 | 2020-02-06 | 平安科技（深圳）有限公司 | Electronic device, method for intelligently processing car insurance claim, and storage medium |
| CN109145903A (en) * | 2018-08-22 | 2019-01-04 | 阿里巴巴集团控股有限公司 | A kind of image processing method and device |
| CN109040592A (en) * | 2018-08-22 | 2018-12-18 | 阿里巴巴集团控股有限公司 | The method and apparatus for controlling shooting angle |
| CN109345395A (en) * | 2018-09-12 | 2019-02-15 | 医倍思特（北京）医疗信息技术有限公司 | A kind of anti-fake system and method for settlement of insurance claim |
| CN109523389A (en) * | 2018-09-19 | 2019-03-26 | 平安科技（深圳）有限公司 | Vehicle damage processing method, device, equipment and medium based on image recognition |
| WO2020077890A1 (en) * | 2018-10-15 | 2020-04-23 | 深圳壹账通智能科技有限公司 | System security method and apparatus, computer device, and storage medium |
| CN109325335A (en) * | 2018-10-15 | 2019-02-12 | 深圳壹账通智能科技有限公司 | System safety method, device, computer equipment and storage medium |
| WO2020088076A1 (en) * | 2018-10-31 | 2020-05-07 | 阿里巴巴集团控股有限公司 | Image labeling method, device, and system |
| CN109712002A (en) * | 2018-12-04 | 2019-05-03 | 闽江学院 | The control method of parking lot scratch danger system |
| CN109508797A (en) * | 2018-12-14 | 2019-03-22 | 深圳壹账通智能科技有限公司 | Vehicle insurance Claims Resolution method and relevant device based on block chain |
| CN109711566A (en) * | 2018-12-14 | 2019-05-03 | 中国平安财产保险股份有限公司 | Method for maintaining of reporting a case to the security authorities, device and computer equipment based on site map |
| CN109785166A (en) * | 2018-12-14 | 2019-05-21 | 中国平安财产保险股份有限公司 | Insurance based on site map is reported a case to the security authorities method, apparatus and computer equipment |
| TWI710997B (en) * | 2018-12-25 | 2020-11-21 | 開曼群島商創新先進技術有限公司 | Auto insurance automatic compensation method and system |
| CN110009508A (en) * | 2018-12-25 | 2019-07-12 | 阿里巴巴集团控股有限公司 | A kind of vehicle insurance compensates method and system automatically |
| CN109903172A (en) * | 2019-01-31 | 2019-06-18 | 阿里巴巴集团控股有限公司 | Claims Resolution information extracting method and device, electronic equipment |
| WO2020155790A1 (en) * | 2019-01-31 | 2020-08-06 | 阿里巴巴集团控股有限公司 | Method and apparatus for extracting claim settlement information, and electronic device |
| CN109919785A (en) * | 2019-02-22 | 2019-06-21 | 德联易控科技(北京)有限公司 | Assessment processing method, apparatus, equipment and the storage medium of car damage identification |
| CN111726558A (en) * | 2019-03-20 | 2020-09-29 | 腾讯科技（深圳）有限公司 | On-site survey information acquisition method and device, computer equipment and storage medium |
| CN111726558B (en) * | 2019-03-20 | 2022-04-15 | 腾讯科技（深圳）有限公司 | On-site survey information acquisition method and device, computer equipment and storage medium |
| CN110210699A (en) * | 2019-04-18 | 2019-09-06 | 深圳壹账通智能科技有限公司 | Intelligent dispatching method, device, electronic equipment and storage medium |
| CN110443716A (en) * | 2019-06-17 | 2019-11-12 | 中国平安财产保险股份有限公司 | Claims Resolution method, apparatus, computer equipment and storage medium |
| CN110599355A (en) * | 2019-09-12 | 2019-12-20 | 腾讯科技（深圳）有限公司 | Block chain-based vehicle insurance information system, insurance policy registration method and claim settlement method |
| CN110826732A (en) * | 2019-10-24 | 2020-02-21 | 郑秀美 | Method and platform for assigning maintenance delay insurance application claims |
| CN111193868A (en) * | 2020-01-09 | 2020-05-22 | 中保车服科技服务股份有限公司 | Photographing method and device for vehicle insurance survey, computer equipment and readable storage medium |
| WO2021143063A1 (en) * | 2020-01-13 | 2021-07-22 | 平安科技（深圳）有限公司 | Vehicle damage assessment method, apparatus, computer device, and storage medium |
| CN111311540A (en) * | 2020-01-13 | 2020-06-19 | 平安科技（深圳）有限公司 | Vehicle damage assessment method and device, computer equipment and storage medium |
| CN111259848A (en) * | 2020-01-22 | 2020-06-09 | 苏州华兴源创科技股份有限公司 | Vehicle loss assessment method, vehicle loss assessment system, computer equipment and medium |
| CN111553285A (en) * | 2020-04-29 | 2020-08-18 | 上海智勘科技有限公司 | Method and system for protecting user privacy information in vehicle remote damage assessment process |
| TWI818181B (en) * | 2020-06-23 | 2023-10-11 | 新局數位科技有限公司 | Car damage assessment system and implementation method thereof |
| CN112036283A (en) * | 2020-08-25 | 2020-12-04 | 湖北经济学院 | Intelligent vehicle damage assessment image identification method |
| CN112348011A (en) * | 2020-09-10 | 2021-02-09 | 小灵狗出行科技有限公司 | Vehicle damage assessment method and device and storage medium |
| CN112348011B (en) * | 2020-09-10 | 2022-08-09 | 小灵狗出行科技有限公司 | Vehicle damage assessment method and device and storage medium |
| CN112348712A (en) * | 2020-09-15 | 2021-02-09 | 贝壳技术有限公司 | Room-viewing guidance method and system |
| CN112785149A (en) * | 2021-01-21 | 2021-05-11 | 中国平安财产保险股份有限公司 | Automatic vehicle claims settlement and damage assessment method and system, computer equipment and storage medium |
| CN112990868A (en) * | 2021-03-12 | 2021-06-18 | 中国平安财产保险股份有限公司 | Method, system, equipment and storage medium for automatic vehicle insurance claims |
| CN115631002A (en) * | 2022-12-08 | 2023-01-20 | 邦邦汽车销售服务(北京)有限公司 | Intelligent damage assessment method and system for vehicle insurance based on computer vision |
| CN115631002B (en) * | 2022-12-08 | 2023-11-17 | 邦邦汽车销售服务(北京)有限公司 | Computer vision-based intelligent damage assessment method and system for vehicle insurance |
| CN115810134A (en) * | 2023-02-14 | 2023-03-17 | 之江实验室 | Image acquisition quality inspection method, system and device for preventing car insurance from cheating |
| CN116796279A (en) * | 2023-08-28 | 2023-09-22 | 德联易控科技(北京)有限公司 | Vehicle loss detection method, system and equipment based on four-wheel positioning data and big data |
| CN116796279B (en) * | 2023-08-28 | 2023-11-17 | 德联易控科技(北京)有限公司 | Vehicle loss detection method, system and equipment based on four-wheel positioning data and big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106780048A (en) | A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system | |
| CN109559458B (en) | Neural network-based commodity identification cash registering method and self-service cash registering desk | |
| CN106558115B (en) | Parking lot vehicle access control method and device | |
| CN110717398A (en) | Method for vehicle payment based on face recognition, related equipment and storage medium | |
| CN104011734B (en) | System, the method and apparatus of information are obtained from the object for being attached to vehicle | |
| CN110502998A (en) | Car damage identification method, device, equipment and storage medium | |
| US20180165889A1 (en) | Two Cameras Vehicle Recognition System and Collection Method | |
| CN109559453A (en) | Human-computer interaction device and its application for Automatic-settlement | |
| CN108323209B (en) | Information processing method, system, cloud processing device and computer storage medium | |
| CN109785175A (en) | Insurance underwriting control method, device, computer equipment and storage medium | |
| CN109934543A (en) | Self-service Claims Resolution method, apparatus, equipment and the computer storage medium of vehicle insurance | |
| KR102269367B1 (en) | Parking settlement system using vehicle feature points based on deep learning | |
| CN110689443A (en) | Insurance data processing method and device, storage medium and server | |
| CN109553057A (en) | Wisdom fuel loading system | |
| CN114463903A (en) | Ticket machine interaction method and device, ticket selling terminal and storage medium | |
| CN110291527B (en) | Information processing method, system, cloud processing device and computer program product | |
| CN111652242B (en) | Image processing method, device, electronic equipment and storage medium | |
| KR102064776B1 (en) | Vehicle database management system for manless parking lot and method thereof | |
| TWM602258U (en) | Auxiliary system for vehicle damage and loss assessment | |
| CN110428032A (en) | RFID automatic orientation identifying system and method are realized based on optical recognition | |
| CN115880753A (en) | Face recognition processing method and device | |
| CN113409476B (en) | Interaction method and system combining 5G and big data platform | |
| Shahrear et al. | An automatic traffic rules violation detection and number plate recognition system for Bangladesh | |
| CN113887297A (en) | Safe driving monitoring method and device for forming data closed loop based on cloud | |
| CN110191285B (en) | Method and device for developing service |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |
|
| RJ01 | Rejection of invention patent application after publication |