CN108876640A - A kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence - Google Patents
A kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence Download PDFInfo
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- CN108876640A CN108876640A CN201810740266.8A CN201810740266A CN108876640A CN 108876640 A CN108876640 A CN 108876640A CN 201810740266 A CN201810740266 A CN 201810740266A CN 108876640 A CN108876640 A CN 108876640A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
Abstract
The invention discloses the loss assessment systems that a kind of image recognition based on artificial intelligence and maintenance program are estimated, mainly include information examination module, image capture module, maintenance estimation block and cloud platform center；The information examination module includes that time and place verification unit and user and vehicle check unit；Described image acquisition module includes voice recognition unit, collection analysis unit, acquisition suggestion unit, image collection unit, image processing unit and image analyzing unit；The maintenance estimation block includes intelligent estimation unit, artificial evaluation unit and accessory query unit；The cloud platform center includes accessory database, image information data library, intelligent estimation database, cloud computing center, cloud notice center.In short, present system setting loss result is accurate, and it is easy to operate, user's setting loss can be improved from resolution ability.
Description
Technical field
The present invention relates to car damage identification technical fields, are specifically related to a kind of image recognition and maintenance based on artificial intelligence
The loss assessment system of schematic design estimate.
Background technique
Currently, the Image Acquisition of car damage identification is usually to carry out acquisition of taking pictures by operating personnel scene, then according to scene
The photo of shooting carries out car damage identification processing.
Setting loss for vehicle, Image Acquisition can specifically reflect the position of damaged vehicle, the component of damage and damage
Condition of the injury condition etc., and for the acquisition of image generally require profession setting loss take pictures personnel carry out Image Acquisition, if car owner is not having
The acquisition of car damage identification image is carried out in the case where having any guidance, these image informations are often not meet wanting for setting loss processing
It asks.
Simultaneously because the particularity of car damage identification, if often will appear some uses without operations such as information examinations
The case where person's malice carries out setting loss, virtually will increase the burden of system, and loss assessment system is made to generate congestion, handle the feelings such as slow
Condition influences the setting loss demand of normal users, and in setting loss, user is often blank for the estimation of maintenance price, is not had
There is the guidance of profession, often therefore generate bigger dispute etc., but traditional passes through artificial setting loss and maintenance price estimation
The problems such as often efficiency is lower, and workload is huge is estimated therefore, it is necessary to a kind of image recognition of artificial intelligence and maintenance program
Loss assessment system solves these problems.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of image recognitions based on artificial intelligence and maintenance program to estimate
The loss assessment system of calculation.
The technical scheme is that:A kind of setting loss system of image recognition and maintenance program estimation based on artificial intelligence
System, the loss assessment system mainly include information examination module, image capture module, maintenance estimation block and cloud platform center；
The information examination module includes that time and place verification unit and user and vehicle check unit；The time with
The location information that generates checks user access time place and setting loss when place verification unit is for according to mobile terminal accessing
Whether debatable time place coincide；The user and vehicle verification unit be used for access user and register vehicle user information into
Row verification；
Described image acquisition module includes voice recognition unit, collection analysis unit, acquisition suggestion unit, image collection list
Member, image processing unit and image analyzing unit；The voice recognition unit for identification adopt by user speech information and being sent to
Set analysis unit is analyzed, and the collection analysis unit is used to describe the analysis and suggestion being acquired according to user, described to adopt
Collection suggests that unit is used to be prompted and be guided user to carry out by mobile terminal the analysis and suggestion that collection analysis unit is analyzed
The acquisition of setting loss demand image；Described image collector unit is collected and classifies for that will acquire image, described image processing
Unit is handled for will acquire image, and described image analytical unit is used for according to image processing unit treated acquisition figure
As carrying out impaired deciding grade and level；
The maintenance estimation block includes intelligent estimation unit, artificial evaluation unit and accessory query unit；The intelligence
Evaluation unit is used for according to user's vehicle, setting loss situation and carries out carrying out intelligence to maintenance price in conjunction with intelligent estimation database information
It can estimation；The artificial evaluation unit is used to be linked to maintenance provider and repairs the estimation of price by specialized maintenance personnel；
The accessory query unit is used to provide the inquiry of vehicle accessory dynamic price information for user；
The cloud platform center include accessory database, image information data library, intelligent estimation database, in cloud computing
The heart, cloud notify center；The accessory database is used to carry out real-time update to vehicle accessory information；Described image information database
For storing information after image analyzing unit is handled and being stored under different impaired classifications；The intelligent estimation database is for depositing
The maintenance price of storage various types vehicle part maintenance simultaneously carries out real-time update；The cloud computing center is used for image information number
Car damage identification image, which is selected, according to acquisition image in library and vehicle is provided and is damaged description is sent to maintenance estimation block；The cloud is logical
Know that the maintenance estimation block received is repaired estimation information by center and image processing unit setting loss deciding grade and level is transmitted to the shifting of user
Dynamic terminal.
Further, the user images license plate by mobile terminal with vehicle verification unit and needs user bright
License plate is read to carry out the verification of information of vehicles.The matching that vehicle and user information are carried out in such a way that voice+video combines is true
It is fixed, the operations such as setting loss deception are avoided, system is reduced and carries out useless setting loss processing, improve the treatment effeciency of system.
Further, described image processing unit includes timestamp intelligently supplement, pixel correction and tone correcting.Pass through
Acquisition image is further processed in image processing unit, improves the identification etc. of subsequent cell processing, improves setting loss grade
Other accuracy for assert accuracy and maintenance estimation.
Further, the mobile terminal refers specifically to mobile phone and tablet computer with camera function.
Further, the intelligent estimation unit priority is higher than artificial evaluation unit, is carried out by intelligent estimation unit
Artificial evaluation unit may be selected in the case that user is unsatisfied with intelligent estimation unit and carry out artificial estimation on line for preferential estimation.
Since intelligent estimation needs continuous study increasingly precisely sometimes can also could generate the inaccurate situation of estimation, cause
At this moment the query etc. of user can be corrected and be supplemented by manually estimating, while intelligent estimation unit being made to estimate day strengthening the essence
The purpose of standard improves the accuracy of maintenance estimation, and intelligent estimation unit priority is higher than artificial evaluation unit is in order to as far as possible
Reduce artificial estimated work.
Further, the intelligent estimation database is used to carry out the data letter that record storage user repairs estimation
Breath, and intelligent estimation database is carried out by the long-time service of users to supplement perfect study.Can lead to makes intelligent estimation list
Metaevaluation is increasingly accurate, improves the accuracy of intelligent maintaining estimation,
Further, the loss assessment system is realized and is accessed by wechat small routine.The popularity rate of wechat is quite wide
It is general, the operation and installation that user uses can simplify by the realization that wechat small routine carries out loss assessment system.
Further, the mobile terminal, information examination module, image capture module, maintenance estimation block and cloud platform
Information transmission protocol is using mixing ARQ between center.Carried out data transmission by mixing ARQ agreement, can be passed to avoid in data
Occurs situations such as breakpoint sends failure, the efficiency between improve data transfer in defeated.
Further, the cloud platform center is equipped with dynamic communication center, and the dynamic communication center is between user
It asks for help and online exchange online.User by dynamic communication center can inquire etc. and ask for help, while can also
To carry out the exchange of the information such as traffic information, promote the communication between vehicle family, improves from resolution ability.
A kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence, damage identification method includes following
Step:
S1:User carries out setting loss access verifying by mobile terminal, and it is single by time and place verification that information checks module
Member and user and vehicle verification unit carry out setting loss authenticity to user and carry out verifying judgement；
S2:After information is checked, user carries out voice by mobile terminal and describes damaged vehicle situation, is known by voice
Other unit carries out identification conversion, is acquired analysis by collection analysis unit, then suggest that unit executes acquisition point by acquisition
Analysis carries out the acquisition of more accurate setting loss image by mobile terminal prompt user；
S3:After the completion of Image Acquisition, image procossing is carried out to acquisition image by image processing unit, then receive by image
Collect unit according to damaged part, damage situations carry out categorised collection, the image information data of image analyzing unit combination later library into
The impaired deciding grade and level of row；
S4:Cloud platform center receives impaired deciding grade and level information and acquisition image, by cloud computing center by image information number
Car damage identification image, which is selected, according to acquisition image in library and vehicle is provided and is damaged deciding grade and level is sent to maintenance estimation block；
S5:The information for repairing estimation block combination car damage identification image, vehicle and impaired deciding grade and level, accessory database, passes through
Intelligent estimation unit repairs estimation；
S6:Notify maintenance estimation information and image processing unit setting loss are defined the level in center to be transmitted to the movement of user by cloud
Terminal；
S7:User can inquire parts price according to accessory query unit, if dissatisfied to calculation price, user
It can apply manually estimating, manually be estimated by artificial evaluation unit.
The beneficial effects of the invention are as follows:
(1) present invention suggests that unit carries out image to user and adopts by voice recognition unit, collection analysis unit and acquisition
The guidance of collection helps user to carry out the acquisition of sharp picture, improves user and acquires the professional of setting loss image, it is accurate to improve setting loss
Degree.
(2) present invention is further processed acquisition image by image processing unit, improves subsequent cell processing
Identification etc., the accuracy that the identifications accuracy and maintenance for improving setting loss rank are estimated.
(3) present invention checks module by information and carries out setting loss Information Proofreading, avoids the feelings such as setting loss deception or malicious operation
Condition, reduction system carry out the burden of useless setting loss processing, improve the treatment effeciency of system.
(4) present invention passes through the combination of intelligent estimation unit and artificial evaluation unit, and user can also pass through accessory cargo tracer
Member carries out parts price inquiry, improves the reasonability of maintenance estimation and the acceptability of user.
(5) information transmission protocol is carried out data transmission using mixing ARQ by mixing ARQ agreement between module of the present invention,
Situations such as failing can be sent to avoid occurring breakpoint in the data transmission, the efficiency between improve data transfer.
(6) exchange between user may be implemented by dynamic communication center in the present invention, and user can be by dynamic communication
The heart inquire etc. and is asked for help, while can also carry out the exchange of the information such as traffic information, promotes the ditch between vehicle family
It is logical, it improves from resolution ability.
Detailed description of the invention
Fig. 1 is present system structure chart.
Specific embodiment
As shown in Figure 1, a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence, loss assessment system
It mainly include information examination module, image capture module, maintenance estimation block and cloud platform center；Loss assessment system is small by wechat
Program is realized and is accessed.The popularity rate of wechat is quite extensive, can be with by the realization that wechat small routine carries out loss assessment system
Simplify the operation and installation that user uses.Mobile terminal, information examination module, image capture module, maintenance estimation block and cloud
Information transmission protocol is using mixing ARQ between Platform center.Carried out data transmission by mixing ARQ agreement, it can be to avoid in number
Situations such as failing is sent according to occurring breakpoint in transmission, the efficiency between improve data transfer.
Information examination module includes that time and place verification unit and user and vehicle check unit；Time and place are checked
The location information that generates checks user access time place and setting loss debatable time when unit is for according to mobile terminal accessing
Whether place coincide；User is used to check access user and vehicle registration user information with vehicle verification unit；User
License plate is imaged by mobile terminal with vehicle verification unit and user is needed to read aloud license plate to carry out the core of information of vehicles
It is right.The matching that vehicle and user information are carried out in such a way that voice+video combines determines, avoids the operations such as setting loss deception, subtracts
Few system carries out useless setting loss processing, improves the treatment effeciency of system.
Image capture module include voice recognition unit, collection analysis unit, acquisition suggest unit, image collection unit,
Image processing unit and image analyzing unit；Voice recognition unit user speech information and is sent to collection analysis list for identification
Member is analyzed, and collection analysis unit is used to describe the analysis and suggestion being acquired according to user, and acquisition suggestion unit is used for will
The analysis and suggestion of collection analysis unit analysis is prompted and is guided user to carry out adopting for setting loss demand image by mobile terminal
Collection；Image collection unit is collected and classifies for that will acquire image, and image processing unit will be for that will acquire at image
Reason, image analyzing unit be used for according to image processing unit treated acquisition image carry out impaired deciding grade and level；Image procossing list
Member includes timestamp intelligently supplement, pixel correction and tone correcting.Acquisition image is carried out into one by image processing unit
The processing of step improves the identification etc. of subsequent cell processing, improves the identification accuracy of setting loss rank and repairs the accurate of estimation
Property.
Repairing estimation block includes intelligent estimation unit, artificial evaluation unit and accessory query unit；Intelligent estimation unit
For carrying out according to user's vehicle, setting loss situation and in conjunction with intelligent estimation database information to maintenance price progress intelligent estimation；
The estimation that artificial evaluation unit is used to be linked to maintenance provider and repair price by specialized maintenance personnel；Accessory query unit
For providing the inquiry of vehicle accessory dynamic price information for user；Intelligent estimation unit priority is higher than artificial evaluation unit,
It is preferentially estimated by intelligent estimation unit, artificial pro form bill may be selected in the case that user is unsatisfied with intelligent estimation unit
Member carries out artificial estimation on line.Since intelligent estimation needs continuous study increasingly precisely sometimes can could also generate
The inaccurate situation of estimation, causes the query etc. of user, at this moment can be corrected and be supplemented by manually estimating, while make intelligence
Evaluation unit estimation is increasingly accurate, improves the accuracy of maintenance estimation, and intelligent estimation unit priority is higher than artificial evaluation unit
Purpose is to reduce artificial estimated work as far as possible.
Cloud platform center includes accessory database, image information data library, intelligent estimation database, cloud computing center, cloud
Notice center；Accessory database is used to carry out real-time update to vehicle accessory information；Image information data library is for storing image
It information and is stored under different impaired classifications after analytical unit processing；Intelligent estimation database is for storing various types vehicle portion
The maintenance price of part maintenance simultaneously carries out real-time update；Cloud computing center, which is used to that image will to be acquired in image information data library, selects vehicle
Setting loss image simultaneously provides vehicle and impaired description is sent to maintenance estimation block；Cloud notifies center to estimate the maintenance received
Module maintenance estimation information and image processing unit setting loss deciding grade and level are transmitted to the mobile terminal of user.Mobile terminal refers specifically to band and takes the photograph
As the mobile phone and tablet computer of function.Intelligent estimation database is also used to carry out the data that record storage user repairs estimation
Information, and intelligent estimation database is carried out by the long-time service of users to supplement perfect study.Can lead to makes intelligent estimation
Unit estimation is increasingly accurate, improves the accuracy of intelligent maintaining estimation.Cloud platform center is equipped with dynamic communication center, dynamic communication
Center is used between user ask for help online and online exchange.User by dynamic communication center can inquire etc. and seek
Help is asked, while the exchange of the information such as traffic information can also be carried out, promotes the communication between vehicle family, is improved from resolution ability.
A kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence, damage identification method includes following
Step:
S1:User carries out setting loss access verifying by mobile terminal, and it is single by time and place verification that information checks module
Member and user and vehicle verification unit carry out setting loss authenticity to user and carry out verifying judgement；
S2:After information is checked, user carries out voice by mobile terminal and describes damaged vehicle situation, is known by voice
Other unit carries out identification conversion, is acquired analysis by collection analysis unit, then suggest that unit executes acquisition point by acquisition
Analysis carries out the acquisition of more accurate setting loss image by mobile terminal prompt user；
S3:After the completion of Image Acquisition, image procossing is carried out to acquisition image by image processing unit, then receive by image
Collect unit according to damaged part, damage situations carry out categorised collection, the image information data of image analyzing unit combination later library into
The impaired deciding grade and level of row；
S4:Cloud platform center receives impaired deciding grade and level information and acquisition image, by cloud computing center by image information number
Car damage identification image, which is selected, according to acquisition image in library and vehicle is provided and is damaged deciding grade and level is sent to maintenance estimation block；
S5:The information for repairing estimation block combination car damage identification image, vehicle and impaired deciding grade and level, accessory database, passes through
Intelligent estimation unit repairs estimation；
S6:Notify maintenance estimation information and image processing unit setting loss are defined the level in center to be transmitted to the movement of user by cloud
Terminal；
S7:User can inquire parts price according to accessory query unit, if dissatisfied to calculation price, user
It can apply manually estimating, manually be estimated by artificial evaluation unit.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that：It still may be used
To modify to technical solution documented by previous embodiment or equivalent replacement of some of the technical features；And
These are modified or replaceed, the spirit and model of technical solution of the embodiment of the present invention that it does not separate the essence of the corresponding technical solution
It encloses.
Claims (10)
1. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence, which is characterized in that the setting loss
System mainly includes information examination module, image capture module, maintenance estimation block, cloud platform center；
The information examination module includes that time and place verification unit and user and vehicle check unit；The time and place
The location information generated when verification unit is for according to mobile terminal accessing is impaired to check user access time place and setting loss
Whether time and location coincide；The user and vehicle verification unit are used to carry out core to access user and vehicle registration user information
It is right；
Described image acquisition module include voice recognition unit, collection analysis unit, acquisition suggest unit, image collection unit,
Image processing unit and image analyzing unit；The voice recognition unit for identification user speech information and be sent to acquisition point
Analysis unit is analyzed, and the collection analysis unit is used to describe the analysis and suggestion being acquired according to user, and the acquisition is built
View unit is used to be prompted and be guided user to carry out setting loss by mobile terminal the analysis and suggestion that collection analysis unit is analyzed
The acquisition of demand image；Described image collector unit is collected and classifies for that will acquire image, described image processing unit
Handled for image will to be acquired, described image analytical unit be used for according to image processing unit treated acquisition image into
The impaired deciding grade and level of row；
The maintenance estimation block includes intelligent estimation unit, artificial evaluation unit and accessory query unit；The intelligent estimation
Unit is used to estimate maintenance price progress intelligence according to user's vehicle, setting loss situation and in conjunction with intelligent estimation database information
It calculates；The artificial evaluation unit is used to be linked to maintenance provider and repairs the estimation of price by specialized maintenance personnel；It is described
Accessory query unit is used to provide the inquiry of vehicle accessory dynamic price information for user；
The cloud platform center includes accessory database, image information data library, intelligent estimation database, cloud computing center, cloud
Notice center；The accessory database is used to carry out real-time update to vehicle accessory information；Described image information database is used for
It stores information after image analyzing unit is handled and is stored under different impaired classifications；The intelligent estimation database is each for storing
The maintenance price of type of vehicle parts for maintenance simultaneously carries out real-time update；The cloud computing center is used for image information data library
Interior acquisition image, which selects car damage identification image and provides vehicle and be damaged description, is sent to maintenance estimation block；In the cloud notice
The maintenance estimation block received is repaired estimation information to the heart and image processing unit setting loss deciding grade and level is transmitted to the mobile end of user
End.
2. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the user and vehicle verification unit image license plate by mobile terminal and user are needed to read aloud license plate
To carry out the verification of information of vehicles.
3. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, described image processing unit includes timestamp intelligently supplement, pixel correction and tone correcting.
4. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the mobile terminal refers specifically to mobile phone and tablet computer with camera function.
5. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the intelligent estimation unit priority is higher than artificial evaluation unit, preferentially estimated by intelligent estimation unit
It calculates, artificial evaluation unit may be selected in the case that user is unsatisfied with intelligent estimation unit and carry out artificial estimation on line.
6. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the intelligent estimation database repairs the data information of estimation for carrying out record storage user, and lead to
The long-time service for crossing users carries out intelligent estimation database to supplement perfect study.
7. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the loss assessment system is realized and is accessed by wechat small routine.
8. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the mobile terminal, information examination module, image capture module, maintenance estimation block and cloud platform center it
Between information transmission protocol using mixing ARQ.
9. a kind of loss assessment system of image recognition and maintenance program estimation based on artificial intelligence according to claim 1,
It is characterized in that, the mobile terminal includes mobile phone and tablet computer, the mobile phone and tablet computer need to have camera.
10. a kind of image recognition and maintenance program estimation based on artificial intelligence described in -9 any one according to claim 1
Loss assessment system, which is characterized in that damage identification method includes the following steps:
S1:User carries out setting loss access verifying by mobile terminal, information check module by time and place check unit and
User and vehicle verification unit carry out setting loss authenticity to user and carry out verifying judgement；
S2:After information is checked, user carries out voice by mobile terminal and describes damaged vehicle situation, passes through speech recognition list
Member carries out identification conversion, is acquired analysis by collection analysis unit, then suggest that unit executes collection analysis by acquisition, leads to
Cross the acquisition that mobile terminal prompt user carries out more accurate setting loss image；
S3:After the completion of Image Acquisition, image procossing is carried out to acquisition image by image processing unit, then pass through image collection list
Member according to damaged part, damage situations carry out categorised collection, the image information data of image analyzing unit combination later library carry out by
The deciding grade and level of damage；
S4:Cloud platform center receives impaired deciding grade and level information and acquisition image, by cloud computing center by image information data library
Interior acquisition image, which selects car damage identification image and provides vehicle and be damaged deciding grade and level, is sent to maintenance estimation block；
S5:The information for repairing estimation block combination car damage identification image, vehicle and impaired deciding grade and level, accessory database, passes through intelligence
Evaluation unit repairs estimation；
S6:Notify maintenance estimation information and image processing unit setting loss are defined the level in center to be transmitted to the mobile end of user by cloud
End；
S7:User can inquire parts price according to accessory query unit, if dissatisfied to calculation price, user Ke Shen
Artificial estimation is manually estimated by artificial evaluation unit.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111640032A (en) * | 2020-06-01 | 2020-09-08 | 明觉科技（北京）有限公司 | Vehicle damage assessment method and device, terminal and computer readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060244589A1 (en) * | 2005-03-10 | 2006-11-02 | Schranz Paul S | Method and system for an insurance auditor to audit a premise alarm system |
| CN101242379A (en) * | 2008-03-18 | 2008-08-13 | 北京中车检信息技术有限公司 | Car damage identification method based on mobile communication terminal or network terminal |
| CN101546416A (en) * | 2009-04-27 | 2009-09-30 | 谢谦 | Method for remotely treating automobile insurance service and system thereof |
| 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 |
| CN106780048A (en) * | 2016-11-28 | 2017-05-31 | 中国平安财产保险股份有限公司 | A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system |
| CN107748893A (en) * | 2017-09-29 | 2018-03-02 | 阿里巴巴集团控股有限公司 | Lift the method, apparatus and server of car damage identification image recognition result |
-
2018
- 2018-07-07 CN CN201810740266.8A patent/CN108876640A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060244589A1 (en) * | 2005-03-10 | 2006-11-02 | Schranz Paul S | Method and system for an insurance auditor to audit a premise alarm system |
| CN101242379A (en) * | 2008-03-18 | 2008-08-13 | 北京中车检信息技术有限公司 | Car damage identification method based on mobile communication terminal or network terminal |
| CN101546416A (en) * | 2009-04-27 | 2009-09-30 | 谢谦 | Method for remotely treating automobile insurance service and system thereof |
| 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 |
| CN106780048A (en) * | 2016-11-28 | 2017-05-31 | 中国平安财产保险股份有限公司 | A kind of self-service Claims Resolution method of intelligent vehicle insurance, self-service Claims Resolution apparatus and system |
| CN107748893A (en) * | 2017-09-29 | 2018-03-02 | 阿里巴巴集团控股有限公司 | Lift the method, apparatus and server of car damage identification image recognition result |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111640032A (en) * | 2020-06-01 | 2020-09-08 | 明觉科技（北京）有限公司 | Vehicle damage assessment method and device, terminal and computer readable storage medium |
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