CN109242112B - Method and system for intelligently detecting and determining loss of vehicle - Google Patents

Method and system for intelligently detecting and determining loss of vehicle Download PDF

Info

Publication number
CN109242112B
CN109242112B CN201810940006.5A CN201810940006A CN109242112B CN 109242112 B CN109242112 B CN 109242112B CN 201810940006 A CN201810940006 A CN 201810940006A CN 109242112 B CN109242112 B CN 109242112B
Authority
CN
China
Prior art keywords
vehicle
damaged
damage
model
report
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.)
Active
Application number
CN201810940006.5A
Other languages
Chinese (zh)
Other versions
CN109242112A (en
Inventor
薛辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201810940006.5A priority Critical patent/CN109242112B/en
Publication of CN109242112A publication Critical patent/CN109242112A/en
Application granted granted Critical
Publication of CN109242112B publication Critical patent/CN109242112B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Technology Law (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Graphics (AREA)
  • Geometry (AREA)
  • Software Systems (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The invention discloses a vehicle intelligent detection loss assessment method and a system, wherein new vehicles of various types are scanned, new vehicle data are collected, and a new vehicle 3D model database is established; identifying the model of the damaged vehicle, scanning the damaged vehicle, collecting the data of the damaged vehicle and establishing a 3D model of the damaged vehicle; comparing the damaged 3D model of the vehicle with a 3D model of a new vehicle corresponding to the vehicle type in a 3D model database of the new vehicle to generate difference information, and forming a damage-checking report based on the difference information; identifying the identity of the driver and obtaining an insurance contract corresponding to the damaged vehicle by an insurer claims system; and generating a final damage assessment report according to the damage examination report, the identity of the driver and the provision of the insurance contract. The vehicle damage report which is automatically identified and generated is combined with driver information and insurance contract clauses to generate a damage assessment report, and three-coordinate scanning matching damage assessment of the vehicle, the driver and the insured is achieved.

Description

Method and system for intelligently detecting and determining loss of vehicle
Technical Field
The invention relates to the technical field of vehicle loss assessment, in particular to a method and a system for intelligently detecting loss assessment of a vehicle.
Background
With the continuous development of social economy, the retention rate of vehicles is higher and higher. Accordingly, the vehicle is damaged more and more frequently, so that the rapid damage of the vehicle is very important for the working life of people.
The traditional vehicle damage assessment is that an automobile damage assessment worker (collision damage assessment) comprehensively analyzes the automobile collision and accident site through scientific and systematic specialized inspection, test and survey means according to the automobile construction principle, utilizes vehicle damage assessment data and maintenance data, and carries out damage assessment pricing of a scientific system on vehicle collision repair.
Disclosure of Invention
An object of the present invention is to solve at least the above problems and to provide at least the advantages described later.
The invention also aims to provide a method for intelligently detecting the damage assessment of the vehicle, which combines an automatically identified and generated vehicle damage report with driver information and insurance contract terms to generate a damage assessment report, thereby realizing the three-coordinate scanning and matching of the damage assessment of the vehicle, the driver and the insured.
The invention also aims to provide an intelligent vehicle detection and damage assessment system, which adopts a robot to detect and assess the damage, has high accuracy, saves manpower and improves the efficiency of damage assessment.
To achieve these objects and other advantages in accordance with the purpose of the invention, a damage-assessment method for intelligent detection of vehicles is provided, which mainly comprises the following steps:
s1, scanning new vehicles of various models, collecting data of the new vehicles and establishing a 3D model database of the new vehicles;
s2, identifying the model of the damaged vehicle, scanning the damaged vehicle, collecting the data of the damaged vehicle and establishing a 3D model of the damaged vehicle;
s3, comparing the damaged 3D model of the vehicle with the 3D model of the new vehicle corresponding to the vehicle type in the 3D model database of the new vehicle to generate difference information, and forming a damage-checking report based on the difference information;
s4, identifying the identity of the driver, and acquiring an insurance contract corresponding to the damaged vehicle by an insurance people claim system;
and S5, generating a final damage assessment report according to the injury test report, the identity of the driver and the provision of the insurance contract.
Preferably, in the method for intelligently detecting damage by vehicle, in S5, the insurer claims system claims the corresponding insured life according to the damage report.
A vehicle intelligent detection damage assessment system comprising:
the information identification module is used for verifying the identity document of the driver;
a damage assessment robot that scans the damaged vehicle to form a vehicle damage report containing identity information of the damaged vehicle; the damage assessment robot is respectively connected with the insurance claim settlement system and the information recognition module, so that the insurance claim settlement system acquires an insurance contract corresponding to the damaged vehicle, and a damage assessment report is generated according to the insurance contract content, the vehicle damage report and the matching relationship between the identity information of the driver acquired by the information recognition module and the identity information of the insured person on the insurance contract.
Preferably, in the vehicle intelligent detection damage assessment system, the specific way of scanning a damaged vehicle and generating a vehicle damage report by the damage assessment robot is as follows:
a damaged model building module, a vehicle database and a comparison module are arranged in the damage assessment robot; the damage assessment robot is provided with a detection probe, and the detection probe scans a damaged vehicle to acquire identity information and damage information of the damaged vehicle; the damaged model building module forms a 3D model of the damaged vehicle according to the damage information; and the comparison module calls model data of a new vehicle with the same type as the damaged vehicle from the vehicle database according to the identity information of the damaged vehicle and compares the model data with the 3D model of the damaged vehicle to obtain a damage report of the damaged vehicle.
Preferably, in the vehicle intelligent detection damage assessment system, the detection probe is a set of any two of an ultrasonic probe, an X-ray probe and a gamma-ray probe, or a set of three of an ultrasonic probe, an X-ray probe and a gamma-ray probe.
Preferably, in the intelligent damage detection system for vehicles, the precision of the detection probe is adjustable.
Preferably, in the intelligent vehicle detection and damage assessment system, an analysis and calculation module is further arranged in the damage assessment robot; the analysis and calculation module is connected with the damaged model building module, and carries out measurement and calculation on the stress point and the moment of the damaged part of the damaged vehicle according to the 3D model of the damaged vehicle called by the damaged model building module, and modifies the damage assessment report according to the measurement and calculation result.
Preferably, in the intelligent vehicle detection and damage assessment system, the damage assessment robot is further in communication connection with a vehicle maintenance unit so as to send a maintenance application including a specific maintenance item to the vehicle maintenance unit corresponding to the damaged vehicle.
Preferably, the vehicle intelligent detection damage assessment system further includes:
the intelligent question-answering module comprises a microphone, a loudspeaker and a communication module which are arranged on the damage assessment robot; the microphone and the loudspeaker are respectively connected with the communication module; the communication module is in communication connection with a customer service system of a vehicle insurance company, so that voice information input by the microphone is transmitted to the customer service system through the communication module, and reply information of the customer service system is transmitted to the loudspeaker through the communication module.
The invention at least comprises the following beneficial effects:
according to the invention, through the application of the damage assessment robot, the damage assessment robot is used for scanning and detecting the damaged vehicle, and then data comparison is carried out with a new vehicle with the same model, so that the damage degree of the damaged vehicle is scientifically judged, and then through the connection of the damage assessment robot, the recognition platform and the insurance people claim system, the damage assessment robot can accurately divide the damage and responsibility of the damaged vehicle according to the damage degree of the vehicle, the driver information when the vehicle is damaged and the terms of an insurance contract, so that an accurate damage assessment report is obtained, and the subsequent insurance claim process is conveniently carried out. The vehicle damage assessment is carried out by replacing manpower with the damage assessment robot, so that the interference of artificial subjective factors in the damage assessment process is avoided, the damage assessment report is more objective and accurate, the manpower is saved, and the efficiency is improved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
Fig. 1 is a frame structure diagram of the intelligent vehicle detection damage assessment system according to the present invention.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
As shown in fig. 1, the invention provides an intelligent vehicle detection and damage assessment method, which mainly comprises the following steps:
s1, scanning new vehicles of various models, collecting data of the new vehicles and establishing a 3D model database of the new vehicles;
s2, identifying the model of the damaged vehicle, scanning the damaged vehicle, collecting the data of the damaged vehicle and establishing a 3D model of the damaged vehicle;
s3, comparing the damaged 3D model of the vehicle with the 3D model of the new vehicle corresponding to the vehicle type in the 3D model database of the new vehicle to generate difference information, and forming a damage-checking report based on the difference information;
s4, identifying the identity of the driver, and acquiring an insurance contract corresponding to the damaged vehicle by an insurance people claim system;
and S5, generating a final damage assessment report according to the injury test report, the identity of the driver and the provision of the insurance contract.
In the scheme, by establishing the new vehicle 3D model database, after the damaged vehicle is scanned and the 3D model is generated, the 3D model of the new vehicle with the same model can be compared with the 3D model of the damaged vehicle, so that an inspection report of the vehicle is generated, the damage degree of the damaged vehicle is scientifically judged, the interference of human factors is avoided, then, the driver information of the damaged vehicle and an insurance contract called by an insurance claim system are determined, and the final damage assessment report is generated according to the provision of the terms in the insurance contract and the common responsibility of the insured and the driver information, so that the accident responsibility is accurately divided while damage assessment is carried out, the damage assessment efficiency is improved, the labor is saved, and the interference of the human factors is avoided.
In a preferred embodiment, in S5, the insurance claim settlement system settles a claim for the corresponding insured based on the damage assessment report.
In the above scheme, through the butt joint with the insurance person claim settlement system, not only can real-timely obtain the corresponding insurance of impaired vehicle and close equal data, can also send the loss assessment report to the insurance person claim settlement system after the loss assessment, conveniently carry out subsequent insurance claim settlement work, improved the efficiency of accident handling by a wide margin.
A vehicle intelligent detection damage assessment system comprising: and the information identification module is used for verifying the identity document of the driver.
A damage assessment robot that scans the damaged vehicle to form a vehicle damage report containing identity information of the damaged vehicle; the damage assessment robot is respectively connected with the insurance claim settlement system and the information recognition module, so that the insurance claim settlement system acquires an insurance contract corresponding to the damaged vehicle, and a damage assessment report is generated according to the insurance contract content, the vehicle damage report and the matching relationship between the identity information of the driver acquired by the information recognition module and the identity information of the insured person on the insurance contract.
In the above scheme, through the application of the damage assessment robot, the damage assessment robot is used for scanning and detecting damaged vehicles, and then data comparison is carried out with new vehicles of the same model, so that the damage degree of the damaged vehicles is scientifically judged, and then the damage assessment robot can accurately divide the damage and the responsibility of the damaged vehicles according to the damage degree of the vehicles, the driver information when the vehicles are damaged and the terms of insurance contracts through the connection of the damage assessment robot, the recognition platform and the insurance people claim settlement system, so that an accurate damage assessment report is obtained, and the follow-up insurance claim settlement process is facilitated. The vehicle damage assessment is carried out by replacing manpower with the damage assessment robot, so that the interference of artificial subjective factors in the damage assessment process is avoided, the damage assessment report is more objective and accurate, the manpower is saved, and the efficiency is improved.
In a preferred embodiment, the damage assessment robot scans a damaged vehicle and generates a vehicle damage report in the following specific manner: a damaged model building module, a vehicle database and a comparison module are arranged in the damage assessment robot; the damage assessment robot is provided with a detection probe, and the detection probe scans a damaged vehicle to acquire identity information and damage information of the damaged vehicle; the damaged model building module forms a 3D model of the damaged vehicle according to the damage information; and the comparison module calls model data of a new vehicle with the same type as the damaged vehicle from the vehicle database according to the identity information of the damaged vehicle and compares the model data with the 3D model of the damaged vehicle to obtain a damage report of the damaged vehicle.
In the scheme, the damaged vehicle can be scanned in all directions through the detection probe arranged on the damage assessment robot, so that the identity information and the damage information of the damaged vehicle can be acquired; the damaged model building module forms a 3D model of the damaged vehicle according to the damage information, the 3D model has intuitiveness, and the damaged condition of the damaged vehicle can be accurately obtained by comparing the 3D model with a new vehicle model of the same model, so that an objective and accurate vehicle damage report is obtained.
In a preferred embodiment, the detection probe is a set of any two of an ultrasonic probe, an X-ray probe and a gamma-ray probe, or a set of three of an ultrasonic probe, an X-ray probe and a gamma-ray probe.
In the above scheme, ultrasonic probe, X ray probe and gamma ray probe all have certain transmission performance, therefore adopt the probe that above-mentioned light formed not only can scan the outward appearance damage of vehicle, can scan the damage of internal device simultaneously, and the probe of making through two kinds or three kinds of light sets can more accurately scan impaired vehicle.
In a preferred embodiment, the precision of the detection probe is adjustable.
In the scheme, the differential damage assessment of the appearance damage and the internal damage of the damaged vehicle can be realized by adjusting the precision of the detection probe, and the application range of the system is widened.
In a preferred scheme, an analysis and calculation module is further arranged in the damage assessment robot; the analysis and calculation module is connected with the damaged model building module, and carries out measurement and calculation on the stress point and the moment of the damaged part of the damaged vehicle according to the 3D model of the damaged vehicle called by the damaged model building module, and modifies the damage assessment report according to the measurement and calculation result.
In the scheme, the stress point and the moment of the damaged part of the damaged vehicle can be measured and calculated through the arrangement of the analysis and calculation module in the damage assessment robot, so that accident responsibility can be divided conveniently, and a damage assessment report can be further accurately reported.
In a preferred embodiment, the damage assessment robot is further connected with a vehicle maintenance unit in a communication manner, so as to send a maintenance application containing a specific maintenance item to the vehicle maintenance unit corresponding to the damaged vehicle.
In the scheme, the loss assessment robot is connected with the communication of the vehicle maintenance unit, so that the loss assessment robot can automatically send maintenance application to the vehicle maintenance unit after the damaged vehicle is subjected to loss assessment, the damaged vehicle can be maintained as soon as possible, the maintenance application comprises specific maintenance items, the vehicle maintenance unit can prepare tools and spare parts required for maintenance in advance according to the maintenance items, and the maintenance efficiency of the vehicle is improved.
In a preferred embodiment, the method further comprises: the intelligent question-answering module comprises a microphone, a loudspeaker and a communication module which are arranged on the damage assessment robot; the microphone and the loudspeaker are respectively connected with the communication module; the communication module is in communication connection with a customer service system of a vehicle insurance company, so that voice information input by the microphone is transmitted to the customer service system through the communication module, and reply information of the customer service system is transmitted to the loudspeaker through the communication module.
In the scheme, the intelligent question-answering module is arranged on the damage assessment robot, so that a user can directly contact with a customer service of an insurance company through the damage assessment robot, specialized solution of related problems is facilitated, and damage assessment efficiency is improved.
In addition, the specific structure of the damage assessment robot is as follows: the device comprises a base, a supporting part, a first mechanical arm, a second mechanical arm and a detection probe; the supporting part is connected above the base through a first rotating shaft in a manner of rotating relative to the base; the bottom end of the first mechanical arm can rotate along the supporting part and is hinged to the upper end of the supporting part through a second rotating shaft; one end of the second mechanical arm is hinged to the top end of the first mechanical arm through a third rotating shaft, and the other end of the second mechanical arm is connected with the detection probe. The base of the loss assessment robot guarantees that the loss assessment robot is installed steadily, and the supporting part is for the rotation of base for the base, makes test probe can detect at 360 degrees within ranges for the centre of a circle by the base, and the rotation of first arm for the supporting part makes test probe can adjust on height and horizontal coverage, and the rotation of second arm for first arm makes test probe can go on further regulation on detecting the height, thereby makes the scope that the loss assessment robot can detect is more extensive and comprehensive.
Still be provided with infrared inductive probe or ultrasonic detector etc. around the base of loss assessment robot and can respond to the sensor of base surrounding environment to with the driving motor of loss assessment robot of sensor connection, can guarantee loss assessment robot has barrier in the certain limit around it in time perception when appearing, and then when sensing that there is the object to appear in detection range, has the sensor to driving motor signals, makes driving motor stop the action, can guarantee when loss assessment robot has personnel around, stops its action, with assurance personnel's safety.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.

Claims (6)

1. An intelligent vehicle detection loss assessment method mainly comprises the following steps:
s1, scanning new vehicles of various models, collecting data of the new vehicles and establishing a 3D model database of the new vehicles;
s2, identifying the model of the damaged vehicle, scanning the damaged vehicle, collecting the data of the damaged vehicle and establishing a 3D model of the damaged vehicle;
s3, comparing the damaged 3D model of the vehicle with the 3D model of the new vehicle corresponding to the vehicle type in the 3D model database of the new vehicle to generate difference information, and forming a damage-checking report based on the difference information; then, measuring and calculating stress points and moments of the damaged part of the damaged vehicle according to the 3D model of the damaged vehicle, and modifying an inspection report according to the measuring and calculating result;
s4, identifying the identity of the driver, and acquiring an insurance contract corresponding to the damaged vehicle by an insurance people claim system;
s5, generating a final damage assessment report according to the modified injury testing report, the identity of the driver and the provision of the insurance contract;
in addition, still include a vehicle intellectual detection system of loss assessment, the system includes:
the information identification module is used for verifying the identity document of the driver;
a damage assessment robot that scans the damaged vehicle to form a vehicle damage report containing identity information of the damaged vehicle; the damage assessment robot is respectively connected with an insurance claim settlement system and an information recognition module, so that the insurance claim settlement system acquires an insurance contract corresponding to the damaged vehicle, and a damage assessment report is generated according to the insurance contract content, the vehicle damage report and the matching relationship between the driver identity information acquired by the information recognition module and the insured person identity information on the insurance contract;
the damage assessment robot is characterized in that the specific structure is as follows: the device comprises a base, a supporting part, a first mechanical arm, a second mechanical arm and a detection probe; the supporting part is connected above the base through a first rotating shaft in a manner of rotating relative to the base; the bottom end of the first mechanical arm can rotate along the supporting part and is hinged to the upper end of the supporting part through a second rotating shaft; one end of the second mechanical arm is hinged with the top end of the first mechanical arm through a third rotating shaft, and the other end of the second mechanical arm is connected with the detection probe;
the specific mode that the damage assessment robot scans damaged vehicles and generates vehicle damage reports is as follows:
a damaged model building module, a vehicle database and a comparison module are arranged in the damage assessment robot; the damage assessment robot is provided with a detection probe, and the detection probe scans a damaged vehicle to acquire identity information and damage information of the damaged vehicle; the damaged model building module forms a 3D model of the damaged vehicle according to the damage information; the comparison module calls model data of a new vehicle with the same type as the damaged vehicle from the vehicle database according to the identity information of the damaged vehicle and compares the model data with a 3D model of the damaged vehicle to obtain a damage report of the damaged vehicle;
an analysis and calculation module is further arranged in the damage assessment robot; the analysis and calculation module is connected with the damaged model building module, and carries out measurement and calculation on the stress point and the moment of the damaged part of the damaged vehicle according to the 3D model of the damaged vehicle called by the damaged model building module, and modifies the damage assessment report according to the measurement and calculation result.
2. The vehicle intelligent detection damage assessment method of claim 1, wherein in S5, the insurer claims system claims the corresponding insured based on the damage report.
3. The intelligent damage detection method for vehicles according to claim 1, wherein the detection probe is a set of any two of an ultrasonic probe, an X-ray probe and a gamma ray probe, or a set of three of an ultrasonic probe, an X-ray probe and a gamma ray probe.
4. The vehicle intelligent detection impairment method of claim 3, wherein the accuracy of the detection probe is an adjustable setting.
5. The intelligent vehicle damage assessment method of claim 1, wherein the damage assessment robot is further communicatively connected to a vehicle maintenance unit to send a maintenance application including specific maintenance items to the vehicle maintenance unit corresponding to the damaged vehicle.
6. The intelligent vehicle damage detection method of claim 1, further comprising:
the intelligent question-answering module comprises a microphone, a loudspeaker and a communication module which are arranged on the damage assessment robot; the microphone and the loudspeaker are respectively connected with the communication module; the communication module is in communication connection with a customer service system of a vehicle insurance company, so that voice information input by the microphone is transmitted to the customer service system through the communication module, and reply information of the customer service system is transmitted to the loudspeaker through the communication module.
CN201810940006.5A 2018-08-17 2018-08-17 Method and system for intelligently detecting and determining loss of vehicle Active CN109242112B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810940006.5A CN109242112B (en) 2018-08-17 2018-08-17 Method and system for intelligently detecting and determining loss of vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810940006.5A CN109242112B (en) 2018-08-17 2018-08-17 Method and system for intelligently detecting and determining loss of vehicle

Publications (2)

Publication Number Publication Date
CN109242112A CN109242112A (en) 2019-01-18
CN109242112B true CN109242112B (en) 2022-02-08

Family

ID=65071649

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810940006.5A Active CN109242112B (en) 2018-08-17 2018-08-17 Method and system for intelligently detecting and determining loss of vehicle

Country Status (1)

Country Link
CN (1) CN109242112B (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109871795B (en) * 2019-01-31 2022-02-22 湖北交投智能检测股份有限公司 Automatic expressway technical condition evaluation method, system and product
CN110008823B (en) * 2019-02-19 2020-07-21 阿里巴巴集团控股有限公司 Vehicle damage assessment method and device and electronic equipment
CN110428403B (en) * 2019-07-22 2023-01-20 宝能汽车集团有限公司 Car checking method and electronic device
CN111127227A (en) * 2019-12-26 2020-05-08 深圳市元征科技股份有限公司 Vehicle loss assessment method and device and related equipment
CN111572474A (en) * 2020-05-09 2020-08-25 麦特汽车服务股份有限公司 Distributed automobile collision detection method and device
CN111640032B (en) * 2020-06-01 2021-04-16 明觉科技(北京)有限公司 Vehicle damage assessment method and device, terminal and computer readable storage medium
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
CN111931746B (en) * 2020-10-09 2021-02-12 深圳壹账通智能科技有限公司 Vehicle loss judgment method and device, computer equipment and readable storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108171708A (en) * 2018-01-24 2018-06-15 北京威远图易数字科技有限公司 Car damage identification method and system
CN108257028A (en) * 2017-07-25 2018-07-06 平安科技(深圳)有限公司 Processing method, device, computer equipment and the storage medium of settlement of insurance claim

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108257028A (en) * 2017-07-25 2018-07-06 平安科技(深圳)有限公司 Processing method, device, computer equipment and the storage medium of settlement of insurance claim
CN108171708A (en) * 2018-01-24 2018-06-15 北京威远图易数字科技有限公司 Car damage identification method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
事故车辆的现场查勘理赔规范;李本财;《经济与社会科学研究》;20180228(第2期);第437-438页 *

Also Published As

Publication number Publication date
CN109242112A (en) 2019-01-18

Similar Documents

Publication Publication Date Title
CN109242112B (en) Method and system for intelligently detecting and determining loss of vehicle
US7024032B2 (en) Method for assessing fit and alignment of a manufactured part
CN104932359B (en) The unmanned loss assessment system of vehicle remote and damage identification method based on CAE technology
CN102016565B (en) System, program product, and related methods for registering three-dimensional models to point data representing the pose of a part
KR102184873B1 (en) A device and method for performing ultrasound scanning of a conduit
Poozesh et al. Multicamera measurement system to evaluate the dynamic response of utility‐scale wind turbine blades
CN108731788A (en) A kind of working at height arm low-frequency vibration vision inspection apparatus and method
CN105333819A (en) Robot workpiece assembly and form and location tolerance detection system and method based on face laser sensor
CN105548185A (en) Automobile wheel hub screw hole recognition method based on machine vision and shielding method and system
CN102162577B (en) Pipeline defect surface integrity detection device and detection method
CN101745845B (en) Measuring method of outer contour shape of metal part and detecting method of processing precision
CN105741278B (en) A kind of drag-line distributed stress on-line monitoring method based on computer vision
DE102010002258A1 (en) Method and device for determining distances on a vehicle
CN106152935A (en) It is applicable to the laser measurement system without feature space curved surface blank and processing positioning method thereof
CN100470578C (en) Science instrument working state monitoring method based on computer vision
CN104316530A (en) Part detection method and application
CN116678368B (en) BIM technology-based intelligent acquisition method for assembled steel structure data
Mills et al. Pavement deformation monitoring in a rolling load facility
CN117132300B (en) Image recognition-based scraped car evaluation system
CN116105604B (en) Steel pipe quality detection system and detection method
CN106989671A (en) A kind of train wheel optical measuring device
CN108460569A (en) A kind of method, apparatus and system of quick establishment inspection man skill regulation
CN114662619B (en) Bridge monitoring system based on multi-source data fusion
CN106123808B (en) A method of it is measured for the deflection of automobile rearview mirror specular angle degree
CN108226907A (en) For the ranging calibration method and device of Laser Distance Measuring Equipment

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
GR01 Patent grant
GR01 Patent grant