CN110033608A - Processing method, device, equipment, server and the system of vehicle damage detection - Google Patents

Processing method, device, equipment, server and the system of vehicle damage detection Download PDF

Info

Publication number
CN110033608A
CN110033608A CN201811465660.1A CN201811465660A CN110033608A CN 110033608 A CN110033608 A CN 110033608A CN 201811465660 A CN201811465660 A CN 201811465660A CN 110033608 A CN110033608 A CN 110033608A
Authority
CN
China
Prior art keywords
information
damage
sound wave
detection vehicle
vehicle
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.)
Granted
Application number
CN201811465660.1A
Other languages
Chinese (zh)
Other versions
CN110033608B (en
Inventor
陈湖生
郭昕
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.)
Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
Original Assignee
Alibaba Group Holding Ltd
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 Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to CN201811465660.1A priority Critical patent/CN110033608B/en
Publication of CN110033608A publication Critical patent/CN110033608A/en
Application granted granted Critical
Publication of CN110033608B publication Critical patent/CN110033608B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88Sonar systems specially adapted for specific applications
    • 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
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C23/00Non-electrical signal transmission systems, e.g. optical systems
    • G08C23/02Non-electrical signal transmission systems, e.g. optical systems using infrasonic, sonic or ultrasonic waves
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

This specification embodiment discloses processing method, device, equipment, server and the system of a kind of vehicle damage detection.It can be by the acoustic detection unit of mobile test side, to detection vehicle emissions sound wave.Then it receives and is detected the sound wave that vehicle is reflected back, by collecting, analyzing the information of acoustic wave of reflection, the degree of impairment on the surface and inside of detecting vehicle can be detected and be identified, obtain the degree of impairment of detection vehicle.This specification embodiment can use the vehicle damage information of acoustic detection acquisition, as auxiliary information or combines the damage information obtained based on vehicle image, determines the damage results of vehicle jointly, can be further improved the accuracy of non-destructive tests.

Description

Processing method, device, equipment, server and the system of vehicle damage detection
Technical field
This specification example scheme belongs to the technical field more particularly to a kind of vehicle damage that insurance business data is handled Processing method, device, equipment, server and the system of detection.
Background technique
In vehicle insurance industry, when car accident, which occurs, for car owner proposes Claims Resolution application, insurance company is usually required to vehicle Degree of injury carry out site inspection, assessment, to determine project list that needs repair, compensate amount of money etc..Current processing side Formula mainly passes through insurance company or the third party appraisal agency person of surveying, the vehicle progress site assessment to accident occurs, or by User takes pictures to accident vehicle under the guidance of insurer officer, then passes to insurance company by network, then by setting loss The setting loss person of processing carries out long-range setting loss by the photo uploaded.
In general, vehicle damage identification identification needs more professional skills and experience, the usually person of surveying/setting loss person needs There are several years working experiences, can be only achieved more accurately on-site damage identification.Reconnoitre the damage of progress at the scene in many cases Hurt degree, identification of repair scale etc., largely rely on the experience of people, the balancing method of this subjectivity is easy to damage vehicle The accuracy for hurting recognition result impacts.And the photo that car owner voluntarily shoots, it tends to be difficult to accurately reflect the overall picture of vehicle damage, example As slight recess needs such as scrape class damage by photo array in certain angle in Qiang Fanguang or have the case where inverted image Under be difficult to distinguish.It is difficult to completely grasp correct image pickup method for common car owner, causes part Claims Resolution case because of vehicle Damage photo is undesirable, and recognition result occur poor, still needs the personnel of surveying to identify to vehicle scene, reduces user Experience.
Therefore, a kind of solution that can more accurate, reliably carry out vehicle damage detection is needed in the industry.
Summary of the invention
This specification embodiment is designed to provide a kind of processing method of vehicle damage detection, device, equipment, server And system, the damage information based on sound wave identification can be provided, the requirement that Damage identification voluntarily takes pictures to user can be reduced, mentioned The accuracy and reliability of high vehicle damage identification.
Processing method, device, equipment, server and the system for a kind of vehicle damage detection that this specification embodiment provides Being includes that following manner is realized:
A kind of processing method of vehicle damage detection, which comprises
Mobile test side emits sound wave, and receives the sound wave of detection vehicle reflection, generates reflected acoustic wave information;
Mobile test side determines the sound wave identification of damage information of the detection vehicle based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server by the mobile test side;
The server determines the inspection according to the sound wave identification of damage information and visual signature information of the detection vehicle The non-destructive tests of measuring car are as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
A kind of processing method of vehicle damage detection, which comprises
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server, so that sound of the server according to the detection vehicle Wave identification of damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information base It is obtained in the damage image of the detection vehicle.
A kind of processing method of vehicle damage detection, which comprises
The sound wave identification of damage using the determining detection vehicle of the reflected acoustic wave information that mobile test side is sent is received to believe Breath, the reflected acoustic wave information to detection vehicle emissions sound wave and receive the sound for detecting vehicle and reflecting based on mobile test side The data information that wave generates;
According to the sound wave identification of damage information and visual signature information of the detection vehicle, the damage of the detection vehicle is determined Hurt recognition result, the visual signature information is obtained based on the damage image of the detection vehicle.
A kind of processing unit of vehicle damage detection, described device include:
Acoustic detection receiving module utilizes the reflected acoustic wave information to determine detection for receive that mobile test side sends The sound wave identification of damage information of vehicle, the reflected acoustic wave information are based on mobile test side to detection vehicle emissions sound wave and receive The data information that the sound wave of the detection vehicle reflection generates;
Processing module is damaged, for the sound wave identification of damage information and visual signature information according to the detection vehicle, really The non-destructive tests of the fixed detection vehicle are as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
A kind of processing unit of vehicle damage detection, described device include:
Acoustic detection module is used for detection vehicle emissions sound wave, and receives the sound wave of detection vehicle reflection, is generated and is reflected Information of acoustic wave;
Sound wave non-destructive tests module, for determining the sound wave identification damage of the detection vehicle based on the reflected acoustic wave information Hurt information;
Data uploading unit, for the sound wave identification of damage information to be sent to server, so that the server root According to it is described detection vehicle sound wave identification of damage information and visual signature information determine it is described detection vehicle non-destructive tests as a result, The visual signature information is obtained based on the damage image of the detection vehicle.
A kind of server of vehicle damage detection, including processor and for the storage of storage processor executable instruction Device, the processor are realized when executing described instruction:
The sound wave identification of damage using the determining detection vehicle of the reflected acoustic wave information that mobile test side is sent is received to believe Breath, the reflected acoustic wave information to detection vehicle emissions sound wave and receive the sound for detecting vehicle and reflecting based on mobile test side The data information that wave generates;
According to the sound wave identification of damage information and visual signature information of the detection vehicle, the damage of the detection vehicle is determined Hurt recognition result, the visual signature information is obtained based on the damage image of the detection vehicle.
A kind of terminal device of vehicle damage detection, including processor and depositing for storage processor executable instruction Reservoir, the processor are realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server, so that sound of the server according to the detection vehicle Wave identification of damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information base It is obtained in the damage image of the detection vehicle.
A kind of system of vehicle damage detection, the system comprises mobile test side and server,
The mobile test side includes at least one processor and the memory for storage processor executable instruction, The processor is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;Based on described Reflected acoustic wave information determines the sound wave identification of damage information of the detection vehicle;Shooting obtains the damage figure of the detection vehicle Picture;And the sound wave identification of damage information and the damage image are sent to server;
The server includes at least one processor and the memory for storage processor executable instruction, described Processor is realized when executing described instruction:
The sound wave identification of damage information and damage image that mobile test side is sent are received, according to the sound wave of the detection vehicle Identification of damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information base It is obtained in the damage image of the detection vehicle.
A kind of mobile communication terminal, it is described including processor and for the memory of storage processor executable instruction Processor is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
Shooting obtains the damage image of the detection vehicle;
The sound wave identification of damage information and damage image are sent to server, so that the server is according to the inspection The sound wave identification of damage information and visual signature information of measuring car determine the non-destructive tests of the detection vehicle as a result, the vision Characteristic information is obtained based on the damage image of the detection vehicle.
A kind of mobile unit, including processor and for the memory of storage processor executable instruction, the processing Device is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
Shooting obtains the damage image of the detection vehicle;
The sound wave identification of damage information and damage image are sent to server, so that the server is according to the inspection The sound wave identification of damage information and visual signature information of measuring car determine the non-destructive tests of the detection vehicle as a result, the vision Characteristic information is obtained based on the damage image of the detection vehicle.
A kind of processing method for vehicle damage detection that this specification embodiment provides device, equipment, server and is System, can be by the acoustic detection unit of mobile test side, to detection vehicle emissions sound wave.Then it receives and is detected vehicle reflection Return sound wave, by collecting, analyzing the information of acoustic wave of reflection, can to detection vehicle surface and inside degree of impairment into Row detection and identification, obtain the degree of impairment of detection vehicle.It can use the vehicle of acoustic detection acquisition in some embodiments Damage information as auxiliary information or is combined the damage information obtained based on vehicle image, determines the damage of vehicle jointly Information can be further improved the accuracy of non-destructive tests.This specification embodiment utilizes some sound rangings and unlike material Sound impedance characteristic etc., the data processing of specific dimension can be carried out to the sound wave of reflection, identify detection vehicle more Accurate sound wave identification of damage information, this sound wave identification of damage information can be used as the non-destructive tests of detection vehicle as a result, It can assist or integrally improve vehicle damage recognition result as a result, realizing to improve non-destructive tests in conjunction with other non-destructive tests modes Accuracy and reliability, and then improve vehicle settle a claim setting loss result.
Detailed description of the invention
In order to illustrate more clearly of this specification embodiment or technical solution in the prior art, below will to embodiment or Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only The some embodiments recorded in this specification, for those of ordinary skill in the art, in not making the creative labor property Under the premise of, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is shown in this specification a kind of on mobile terminals using acoustic detection unit to vehicle progress acoustic detection Schematic diagram;
Fig. 2 is that another kind shown in this specification carries out acoustic detection to vehicle using acoustic detection unit on automobile Schematic diagram;
Fig. 3 is a kind of flow diagram of the processing method embodiment of vehicle damage detection that this specification provides;
Fig. 4 is the ultrasonic distance measurement schematic illustration that this specification embodiment provides;
Fig. 5 is the ultrasonic wave material detection schematic illustration that this specification embodiment provides;
Fig. 6 is the three-dimensional vehicle schematic surface generated using ultrasonic distance measurement that this specification embodiment provides;
Fig. 7 is that being examined using ultrasonic wave material for this specification embodiment offer generates ultrasonic schematic diagram;
Fig. 8 is the structural schematic diagram of the convolutional neural networks for the vehicle damage non-destructive tests processing that this specification provides;
Fig. 9 is the method flow schematic diagram of another embodiment of the method for this specification offer;
Figure 10 is the method flow schematic diagram of another embodiment of the method for this specification offer;
Figure 11 is the mobile terminal hardware knot of the processing method detected using a kind of vehicle damage of this specification embodiment Structure block diagram;
Figure 12 is that a kind of processing unit for vehicle damage detection that can be used for server-side that this specification provides is implemented The modular structure schematic diagram of example;
Figure 13 is a kind of modular structure of the embodiment for the described device that can be used for moving test side that this specification provides Schematic diagram;
Figure 14 is the modular structure schematic diagram for the described device another kind embodiment that this specification provides;
Figure 15 is a kind of implement scene schematic diagram using this specification system embodiment.
Specific embodiment
In order to make those skilled in the art more fully understand the technical solution in this specification, below in conjunction with this explanation Attached drawing in book embodiment is clearly and completely described the technical solution in this specification embodiment, it is clear that described Embodiment be only a part of the embodiment in this specification, instead of all the embodiments.Base in this manual one A or multiple embodiments, every other reality obtained by those of ordinary skill in the art without making creative efforts Example is applied, shall fall within the protection scope of the present application.
Current insurance industry is carried out using automatic technology in the implementation of vehicle damage identification, setting loss, side used Formula is concentrated mainly on computer vision field.Such as some technical solutions based on image recognition, by identification picture Damage characteristic carrys out setting loss;Or based on picture search compare technical solution, by searching vehicle damage picture library in setting loss picture Similar case realizes loss identification.The mode damaged above by vehicle damage image recognition is more single, and there are some fields The situation not accurate enough to partial injury type or damage extent identification result under scape.Such as can be for slight recess, deformation Clearly reflect in photo, need shooting angle, illumination condition suitable, fine vehicle damage image obtains larger.If User shoots undesirable, then usually needs to re-shoot, this brings inconvenient or even cumbersome use body to user It tests.Even if damage can be found, accurate judgement (such as metal plate reparation needs how many working hour) is carried out to degree of injury, only according to photo The mode judged is also not accurate enough in many cases.In reality scene, even veteran setting loss person encounters bat The dissatisfactory photo of condition is taken the photograph, large error can generally also be had by estimating damage.In addition, car owner be also likely to be present fraud or Person gangs up with inspection of the scene of a crime person or setting loss person, forges, exaggerates accident degree, usurps other vehicles damage image or to vehicle damage image PS handles (refer to and edit using image processing softwares such as Photoshop to image), gains indemnity by cheating, takes advantage of there is also biggish Cheat risk.
In one or more embodiments of this specification, it can be emitted based on the propagation characteristic of some sound waves using sound wave Device emits sound wave, and the damage information of vehicle is obtained by the processing data information of the sound wave to reflection.It can be damaged in conjunction with vehicle The information that the other modes such as the visual information of traumatic part position obtain, realizes the judgement more accurate to vehicle damage.Meanwhile being based on sound More accurate, the damage information that automatically determines out that wave is realized, also reduce risk of fraud.It can be in specific treatment process Including using sound wave reflective information to identify the damage of vehicle, or using the identification of sound wave reflective information damage information to being based on The recognition result of vehicle damage image is compared or is corrected, or utilizes the damage combination depth mind of sound wave reflective information identification Through network, study processing output non-destructive tests result etc., or the image information for combining depth of field camera, binocular camera to obtain To assist being formed the three-dimensional structure figure etc. of search coverage.Embodiment specifically based on sound wave identification vehicle damage can be with Corresponding data information is combined to obtain the damage information of vehicle according to different scene demands.
A kind of embodiment that this specification provides can be applied in test side/server system architecture.Described System architecture in, may include the embodiment of the corresponding server in one or more test sides, also may include one Or multiple test sides correspond to the embodiment party of multiple servers (such as non-destructive tests server, setting loss server, accessory server) Formula.The test side may include the terminal device with acoustic detection unit, and the acoustic detection unit can be by one Group or multiple groups pinger and receiving sensor composition, can be to detected vehicle emissions multi beam sound wave, and can receive Detected surface and inside penetrate the sound wave being reflected back.Acoustic detection unit in some embodiments of this specification can use The mode for being mounted on mobile terminal is irradiated sound wave to detection vehicle and receives data.The mobile terminal may include a variety of ends End, such as mobile phone, notebook, mobile unit, wearable device or the dedicated mobile Claims Resolution equipment of vehicle insurance etc..Such as in Fig. 1 institute That shows can install acoustic detection unit or other devices comprising acoustic detection unit on the mobile terminal of user, such as can , according to one group of acoustic detection unit, or as shown in Figure 2 can be used as mobile unit on the mobile communication terminal of user One or more groups of acoustic detection units are installed on automobile.Solid line indication device part is ultrasonic imaging, dotted line signal in Fig. 2 Device part is optical imagery.
As illustrated in fig. 1 or fig. 2 on customer mobile terminal or vehicle or dedicated handheld device etc. to vehicle carry out The terminal device comprising acoustic detection unit of sonic detection is properly termed as mobile test side.It should be noted that this specification Mobile test side as described in the examples typically refers to can to follow user or test side to carry out mobile detection device, such as with Family side mobile communication terminal, the special hand-held detection device etc. that the special inspecting equipment being installed on vehicle, user use.Phase It is corresponding, fixed test end is properly termed as by the equipment that maintenance factory or test point implement vehicle detection.In some of this specification In embodiment, mobile test side can also include optical imaging device, such as binocular camera shooting in addition to it may include acoustic detection unit Head, mobile test side are also provided with matched sliding groove or turning facilities, can make acoustic detection unit transformation angle or Direction emits sound wave.
Mobile test side in some embodiments of this specification can have communication module, can be communicated with server Connection is realized and is transmitted with the data of the server.The server may include one that insurance data is handled or Multiple servers can be the server of insurance company side, or the Platform Server of insurance service be provided, such as certain branch Pay the server for the vehicle insurance service that application provides.Also may include in other implement scenes above-mentioned example server combination or The combination of part of module unit, such as have service interaction with insurance company server and the payment services of the automatic setting loss of vehicle are provided The server of platform.The server may include single computer unit, also may include the clothes of multiple server compositions The server architecture for device cluster or the distributed system of being engaged in.The server can have corresponding database or storage unit.
Below by one specifically customer mobile terminal carry out setting loss detection application scenarios for this specification reality The scheme of applying is illustrated, and the mobile terminal is a kind of embodiment of mobile test side.The mobile test side of the present embodiment Ultrasonic listening unit can be installed, using ultrasonic wave to the carry out fault localization of vehicle, obtain the damage information of vehicle.This Specification sound wave as described in the examples is often referred to the propagation of the vibration of sounding body generation in air or other substances, with ray Unlike equal electromagnetic waves, sound wave is a kind of mechanical wave, need to be propagated by medium, can be divided into ultrasonic wave, audio according to frequency Sound wave, infrasound.The sound wave of 20000Hz or more is known as ultrasonic wave.Fault localization is carried out to detection vehicle in the present embodiment to adopt Sound wave can be ultrasonic wave.Some embodiments of this specification are special in view of the metal material and vehicle structure of vehicle Property, it can be applied to ultrasonic injury in the fault localization and identifying processing of vehicle, Damage identification can be greatly decreased to personnel The requirement of experience improves non-destructive tests precision, provides just objective qualification result, improves the difficulty that fraud is faked, and reduces and protects The cost that dangerous company scene is manually surveyed.
Specifically, Fig. 3 is a kind of process of the processing method embodiment of vehicle damage detection that this specification provides Schematic diagram.Although present description provides as the following examples or method operating procedure shown in the drawings or apparatus structure, base It may include less after more or partially merging in the method or device in routine or without creative labor Operating procedure or modular unit.In the step of there is no necessary causalities in logicality or structure, the execution of these steps Sequence or the modular structure of device are not limited to this specification embodiment or execution shown in the drawings sequence or modular structure.Described Device in practice, server or the end product of method or modular structure are in application, can be according to embodiment or attached drawing Shown in method or modular structure carry out sequence execution or parallel execute (such as the ring of parallel processor or multiple threads Border, the even implementation environment including distributed treatment, server cluster).
A kind of specific embodiment is as shown in figure 3, the processing method of vehicle damage detection that this specification provides a kind of In a kind of embodiment, the method may include:
S0: mobile test side emits sound wave, and receives the sound wave of detection vehicle reflection, generates reflected acoustic wave information;
S2: mobile test side determines the sound wave identification of damage information of the detection vehicle based on the reflected acoustic wave information;
S4: the sound wave identification of damage information is sent to server by the mobile test side;
S6: the server determines institute according to the sound wave identification of damage information and visual signature information of the detection vehicle The non-destructive tests of detection vehicle are stated as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
Sound wave probe unit has can be set in the mobile test side (mobile phone) of user in the present embodiment, and acoustic detection unit can By one or more groups of pingers and receiving sensor.Receiving sensor can install same position with pinger, Also it may be mounted at different positions, be such as distributed in around pinger, can specifically be reflected according to expected sound wave Or penetrate the position of path setting receiving sensor.A kind of mobile test side as described in the examples can have certain data Processing capacity generates reflected acoustic wave information as converted it into corresponding electric signal after receiving the sound wave reflected.Mobile test side Can be with multi-wad join between pinger or receiving sensor, pinger, can be by moving to detection vehicle emissions sound wave Dynamic test side sonicated unit handles sound wave.
In some embodiments of this specification, mobile test side (such as can receive reflected acoustic wave information anti-in real time Uploaded at once after penetrating information of acoustic wave, or determine upload at once after the completion of vehicle detection) it is uploaded to insurance server, it is taken by insurance Business device identifies sound wave identification of damage information, can also be to be uploaded after persistence.Including described in following multiple embodiments Mobile test side, server, system, device, equipment for arriving etc. move test side based on described in reflected acoustic wave information determination The processing for detecting the sound wave identification of damage information of vehicle can also be realized in other examples by server.
In a kind of embodiment that this specification provides, mobile test side can be handled reflected acoustic wave information, be generated Sound wave identification of damage information, is then uploaded to server.For example, can be based on sound wave identification of damage information structuring at scheduled figure Picture.In specific one embodiment, the sound wave identification of damage information may include detection described in following embodiments Material arrangement view (the material arrangement view in the detected region of the construction view or detection vehicle in the detected region of vehicle At least one of for a kind of form of expression of material distributed intelligence), or other data informations.Constructing view can be with For plan view, or 3D view.Then, the sound wave identification of damage information that server can be uploaded according to mobile test side The non-destructive tests result of detection vehicle is determined to further determine that the damage of vehicle or in conjunction with the processing of other vehicle damages.
After mobile test side receives reflected acoustic wave information, vehicle damage identification can be carried out based on the reflected acoustic wave information Processing.Such as image (including video) information header that can be obtained in conjunction with depth of field camera, binocular camera shooting is given birth to assist realizing It is detected surface and in-built view at vehicle, is then uploaded to server.Server can be known based on construction view Not or confirm that some damage informations for detecting vehicle, or construction view can show operating personnel, is determined by operating personnel The identification of damage of vehicle is detected out, or in conjunction with other to the common determining damage knot of the non-destructive tests processing for checking vehicle Fruit.Certainly, in this specification others embodiment, the sound wave identification of damage information, can be in addition to above-mentioned construction view Including other data modes, such as text information, 3D figure, the corresponding code of damage or number.
Visual signature information described in this specification can be obtained based on the damage image of the detection vehicle, can wrap It includes, server is uploaded to after shooting damage image by mobile test side shooting damage image or by other terminals, by server It is handled.It, can also be by the mobile test side or the damage figure of other terminal devices shooting vehicle in other embodiments As after, by the mobile test side or other terminal device identifying processings and after obtaining visual signature information, it is then forwarded to described Server.
Server can further combine the view of detection vehicle based on the sound wave damage information that mobile test side is identified Characteristic information is felt to determine the non-destructive tests result of the vehicle jointly.Visual signature information described in the present embodiment is usual Volume may include the damage information (non-destructive tests modes such as identified, detected, compared based on the image information to vehicle and determining It afterwards), or may be the data information (non-destructive tests for characterizing vehicle one or more features determined from the image of vehicle Before).Such as in the present embodiment application scenarios, the mobile test side of user can use and take the photograph when carrying out ultra sonic scanner processing As equipment to detection vehicle shoot, obtain damage image, these damage images can be uploaded to insurance server.Insurance clothes Business device can use image comparison or the neural network recognization of training goes out to damage the damage in image, determine the detection vehicle Visual signature information.In another example, insurance server can carry out identifying processing to damage image, determine detection vehicle One or more damage characteristics, then these damage characteristics are in conjunction with sound wave identification of damage information, common identifying processing, determine Non-destructive tests result.
In some embodiments of this specification, the sound wave identification of damage information and visual signature information determine damage jointly Hurt recognition result, concrete implementation mode may include the recognition result using sound wave identification of damage information to visual signature information Carry out correct or as reference, supplement as a result, can also using sound wave identification of damage information as enter ginseng act on vision damage Hurt in identifying processing algorithm or model, output includes the visual signature information of the sound wave identification of damage information factor.Alternatively, utilizing sound Wave identification of damage information enters acquisition impaired vision information after ginseng is modified to impaired vision identifying processing.Above-mentioned mode is equal It can be further improved the accuracy of the non-destructive tests result of view-based access control model feature.
In some embodiments of this specification, used sound wave source can ultrasound when to the carry out fault localization of vehicle Wave.Therefore in above-mentioned implementation example, ultrasonic listening unit can be installed in mobile terminal, the unit is by one group of multiple groups ultrasound Wave launcher and receiving sensor composition, can to detected vehicle emissions multi beam ultrasonic wave, and can receive be detected surface with And the ultrasonic wave of internal reflection.
In some embodiments that this specification provides, mobile test side can be converted reflected sound wave, be turned Change corresponding electrical signal data into.Certainly, these electrical signal datas can also include other data informations, such as ultrasonic listening Intensity, timestamp etc. when the number of unit, ultrasonic wave emit.These electrical signal datas can be transferred to distal end server or Imaging is carried out in locally mobile test side, is regarded using the construction of the different physical characteristic construction surface of vehicle of sound wave or inside Figure, these construction views can be used for the non-destructive tests of server.
It may include a variety of data informations of sound wave in the reflected acoustic wave received, some embodiments of this specification are specific Can use all or part of information therein to carry out the identifying processing of vehicle damage.Specifically, what this specification provided In another embodiment of the method, the sound wave identification damage that the detection vehicle is determined based on the reflected acoustic wave information Hurting information may include:
S40: utilizing the reflected acoustic wave information, calculates mobile test side to the distance of the detection vehicle, is based on described Distance building regards view including at least one construct inside the surface for detecting the detected region of vehicle, detected region, Determine to include the first kind sound wave identification of damage information for constructing view.
It can use the ultrasonic wave penetrated after transmitting by institute's searching surface and internal reflection in the present embodiment, calculate movement Distance of the receiving sensor of test side to surface;Multiple units work together, and can learn the three-dimensional structure on surface, from And it is bent with the presence or absence of fluctuations or surface to detect the surface surface of the component in detected region (surface of vehicle perhaps) Rate change information, and then judge that surface whether there is the damage of depressed deformation class.It is also taken the photograph in combination with the depth of field in above-mentioned treatment process It assists realizing as head, binocular camera.The vehicle that can will be calculated distance in the present embodiment using reflective information and then identify Exist recess or protrusion etc. deformation damage be known as first kind sound wave identification of damage information.Vehicle can specifically be calculated to biography The distance of sensor, can also calculate vehicle to pinger or receiver distance;The calculating of distance is realized, sound can be based on The Parameters Calculations such as wave wavelength, transmission time, sonic transmissions speed obtain.
Such as ultrasonic distance measurement schematic illustration shown in Fig. 4, ultrasonic wave can be emitted by transmission unit, then passed through Receiving unit receives reflection echo.Since the aerial spread speed V of ultrasonic wave is it is known that the time for receiving echo can be with It measures, is based on speed V and propagation time T, transmission range L can be calculated and then derive actual range D.It is specific to calculate In the process,
It is known that the centre distance H of receiving unit and transmission unit:
Actual range D:
Transmission range L:L=VT/2;(V is ultrasonic propagation velocity, and T is the propagation time);
Due to D > > H, approximation can be obtained: D ≈ L=VT/2.
This explanation also provides the another embodiment using sound wave identification of damage, except above-mentioned based on distance identification vehicle portion It, can also be using reflected acoustic wave information acquisition by the material distributed intelligence of detector region surface, Jin Erneng outside part deformation of unevenness It enough judges whether there is lacquer painting to fall off, if having dust covering, if having metal layer exposing, if there are abnormal materials (originally There are other abnormal materials in the texture area of monolith, then there may be defects, damage), in addition identify damage be new wound or Old wound etc..The damage sound wave identification of damage information obtained in this way can be further improved vehicle damage recognition result.This specification mentions It is described to determine that the sound wave of the detection vehicle is known based on the reflected acoustic wave information in another embodiment of the method for confession Other damage information may include:
S42: utilizing the reflected acoustic wave information, determines to include the material distributed intelligence for detecting vehicle and being detected region The second class sound wave identification of damage information.
It is specific to implement, due to ultrasonic wave straightline propagation in uniform dielectric, but the meeting on the interface of different medium Reflection (between the different material of acoustic impedance) is generated, therefore the material distributed intelligence on detected surface can be obtained, so as to judge Surface falls off with the presence or absence of lacquer painting, if has dust covering, if has metal layer exposing etc..Some embodiments of this specification In the material distributed intelligence identified based on received reflected acoustic wave information can be known as to the second class sound wave identification of damage information.
Such as ultrasonic wave material detection schematic illustration shown in fig. 5, in Fig. 5, ultrasonic wave straight-line transmitting in uniform dielectric It broadcasts, but reflection can be generated on the interface of different medium (between the different material of acoustic impedance);And the amplitude height of reflective echo It is influenced by the acoustic impedance difference of both sides material, therefore we can derive acoustic impedance difference (target materials according to echo amplitude difference The anti-air-borne sound impedance of acoustic resistance), and then target materials acoustic impedance is calculated in the situation known to air acoustic impedance, final basis Acoustic impedance table derives target materials.In specific calculating process, if f representative function is related
Distance D=f (V, T), V are the aerial speed of ultrasonic wave, and T is the propagation time;
Echo amplitude I=f (I0, D, R1, R2), I are echo amplitude, and I0 is original amplitude, and R1 is air acoustic impedance,
Then, target materials acoustic impedance R2=f (I, I0, D, R1)=f (I, I0, VT/2, R1);
R2 is target materials acoustic impedance, in which: I (echo amplitude), 0 (original amplitude), V (the aerial speed of ultrasonic wave Degree), T (propagation time), R1 (air acoustic impedance) they are known quantity, can calculate the value of R2, and then can be according to acoustic impedance Table extrapolates target materials.
In some embodiments, first kind sound wave identification of damage information and second are identified in S40~S42 described above The processing of class sound wave identification of damage information can be completed in mobile test side processing, and the two can carry out data processing simultaneously, Non-destructive tests can be carried out respectively.Camera and sound wave can be called to visit simultaneously in mobile test side development and application program Unit is surveyed, is taken pictures to damage location, while obtaining the three-dimensional structure and its surfacing point of photo institute overlay area Cloth.In this way, other than obtaining photo, surface undulation distribution map, surfacing distribution can also be obtained for captured region Figure.
In specific identification first kind sound wave identification of damage information and the second class sound wave identification of damage information process, Mobile device (such as mobile phone, Pad) installs ultrasonic listening unit, and the unit is by multiple groups ultrasonic transmitter and receiving sensor group At, it can be to detected surface emitting multi beam ultrasonic wave, and the ultrasonic wave that detected surface reflection is returned can be received.By ultrasound Wave converting unit can be to detected two class view of surface structure:
A, using after transmitting by the reflected ultrasonic wave of institute's searching surface, the distance of detection sensor to surface;It is multiple Unit works together, and can learn the three-dimensional structure on surface, to detect surface with the presence or absence of fluctuations, and then sentences Disconnected surface whether there is the first kind sound wave identification of damage information of depressed deformation class.As shown in fig. 6, obtained first kind sound wave is known Other damage information can be the three-dimension surface in detected region.
B, since different materials are different from the acoustic impedance difference of air, the echo amplitude height of ultrasonic reflections is also different, moves Dynamic test side can obtain the distributed intelligence of detected surface portion specific materials, so as to judge that surface is de- with the presence or absence of lacquer painting It falls, if having dust covering, if having metal layer exposing etc..As shown in fig. 7, obtained first kind sound wave identification of damage information It can be ultrasonic imaging figure.
In some embodiments, the application of mobile test side can call camera and ultrasonic listening unit at the same time, right Damage location is taken pictures, while obtaining the three-dimensional structure and the distribution of its surfacing of photo institute overlay area.In this way, right In captured region, other than obtaining photo, also while surface undulation distribution map, surfacing distribution map are obtained.
In the present embodiment, user can also shoot the damage image of corresponding vehicle when vehicle is in danger and detects.Damage figure As that can be obtained by mobile test side shooting.Insurance server or other processing equipments can pass through some machine learning algorithm structures Establishing network model, after learning to sample image, can the damage image to vehicle identify, obtain detection vehicle damage Hurt information.It, can be by the damage information of the vehicle based on image information acquisition in some embodiments of this specification as described in aforementioned Referred to as impaired vision information (one kind for belonging to visual signature information in this manual) may include utilizing convolutional neural networks etc. The vehicle damage information that network model identifies also may include directly knowing to the subject detection of the damage image of vehicle, damage The damage information not obtained etc. or even also may include that manual identified is based on image or field survey identifies in some embodiments Damage information.
Specifically, server-side can be to collected damage location image, table in some embodiments of this specification Face fluctuating distribution and/or surfacing distributed intelligence, pass through depth network, construct an automobile that can include to captured region The model end to end that component, degree of injury are identified.Depth nerve net can be used in some embodiments of this specification The form of network is convolutional neural networks (CNN), can be made of convolutional layer, pond layer, full articulamentum etc., CNN network shows Model structure of anticipating can be as shown in Figure 8.Of course, it is possible to choose other models according to demand or become to the network model of Fig. 8 Shape, transformation and improvement etc..It should be noted that above-mentioned building network model to damage location image, surface undulation distribution and/or The process that surfacing distributed intelligence is handled can also be realized in the mobile test side.
Under application scenes at present in the industry, by convolutional neural networks pure picture is identified there are some Injury pattern.The non-destructive tests result accuracy for being based only upon the detection vehicle that visual signature information determines is lower, and there are certain Limitation, or even the degree of injury on the surface that is taken can not be completely restored to.In some embodiments of this specification, sound can be introduced The sound wave damage information that wave obtains, such as the surface undulation that is taken image, Facing material distribution after, can provide additional Non-destructive tests feature, handled in conjunction with visual signature, more complete, accurate non-destructive tests output result can be provided. In specific application example, may include:
A. the depth information and visual information of mating surface promotes the accuracy rate of recess, deformation class non-destructive tests;
B. material distributed intelligence and depth information are utilized, the visions disturbing factors such as reflective, inverted image, dust spot are repaired Just, it is damage that deep neural network, which can be effectively prevented, by the interference wrong identification such as inverted image;
C. degree of injury is more accurately judged, it, can will be quasi- especially to subtle recess, peeling paint equivalent damage True degree is promoted to the height being unable to reach only according to visual information.
It therefore, include first kind sound wave identification of damage information and/or the second class sound wave obtained in this specification embodiment On the one hand identification of damage information etc. can supplement the recognition result of the visual signature information acquisition based on damage image etc., Correct etc., it on the other hand can directly participate in being applied in the non-destructive tests treatment process of view-based access control model characteristic information.Specifically During realization, operating personnel can be set accordingly according to actual scene or the network model of selection, recognizer etc. It sets.Therefore, in another embodiment of the method that this specification provides, the sound wave according to the detection vehicle is identified Damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, may include:
S60: according to the sound wave damage information, the recognition result based on the visual signature information is calibrated, really The non-destructive tests result of the fixed detection vehicle.
Calibration described above may include the further information supplement to recognition result, or to all or part of knowledge Correction, corrigendum, the amendment etc. of other result, or when the recognition result of sound wave damage information and view-based access control model characteristic information is in the presence of poor Different time is chosen one of as the damage effectively identified, naturally it is also possible to using sound wave damage information to view-based access control model spy The recognition result of reference breath optimizes.
Based on described above, in another embodiment, the sound wave damage information of acquisition can be applied to based on vehicle damage In the network model of image, the accuracy of network model output result is further increased.Therefore, the side that this specification provides In another embodiment of method, after receiving or determining the sound wave identification of damage information, the method also includes:
S62: utilizing the sound wave damage information, to the depth nerve net for carrying out identifying processing to vehicle damage image The parameter of network is modified;
Correspondingly, it is described according to it is described detection vehicle sound wave identification of damage information and visual signature information, determine described in The non-destructive tests result for detecting vehicle includes: to be identified using the deep neural network after parameters revision to vehicle damage image Processing obtains the non-destructive tests result of the detection vehicle.
A kind of processing method for vehicle damage detection that this specification embodiment provides can pass through sound in mobile test side Wave probe unit, to detection vehicle emissions sound wave.Then it receives and is detected the sound wave that vehicle is reflected back, it is anti-by collecting, analyzing The information of acoustic wave penetrated can be detected and be identified to the degree of impairment on the surface and inside of detecting vehicle, obtain detection vehicle Degree of impairment.The vehicle sound wave identification of damage information that can use acoustic detection acquisition in some embodiments, as auxiliary Supplementary information combines the damage information obtained based on vehicle image, determines the damage information of vehicle jointly, can be further Improve the accuracy of non-destructive tests.This specification embodiment utilizes the sound impedance characteristic of some sound rangings and unlike material Deng, can to the sound wave of reflection carry out specific dimension data processing, identify detection vehicle more accurate sound wave identification Damage information, this sound wave identification of damage information can be used as the non-destructive tests of detection vehicle as a result, can also damage with secondary combined Hurt identification method or non-destructive tests as a result, realizing the whole accuracy and reliability for improving vehicle damage recognition result, Jin Erti High vehicle Claims Resolution setting loss result.
After server determines the damage information of vehicle, it can further carry out automatic setting loss, determine payout schedule, and Carry out compensation processing etc..
In general, the server, such as the server of insurance server or halfpace, usually with mobile test side It compares, there is better processing capacity, the vehicle damage identification based on acoustic detection can be handled in server-side.Therefore By mobile test side transmitting sound wave and reflected acoustic wave information can also be received in some embodiments, reflected acoustic wave information is uploaded to Server carry out non-destructive tests and may further automatic setting loss, determine the interaction process of payout schedule, reduce user terminal Processing pressure, improve processing recognition efficiency.Under some implement scenes that this specification provides, mobile test side can also be docked The reflected acoustic wave information of receipts is handled, and identifies the damage information of vehicle.Mobile test side obtains sound wave identification of damage information After be then forwarded to server, the damage of vehicle is determined by server combination sound wave identification of damage information and view-based access control model characteristic information Hurt recognition result.Mobile test side side Direct Recognition goes out sound wave identification of damage information, can reduce server load pressure.
Mobile test side based on above-mentioned some embodiment descriptions interacts the processing for realizing vehicle damage detection with server Method, this specification also provide a kind of vehicle damage inspection of terminal device side that can be applied to for example described mobile test side The processing method of survey.In specific one embodiment, shown in Fig. 9, another implementation of the method that Fig. 9 this specification provides Example flow diagram, the method may include:
S100: to detection vehicle emissions sound wave (can by control acoustic detection unit to detection vehicle emissions sound wave), And the sound wave of detection vehicle reflection is received, generate reflected acoustic wave information;
S102: the sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
S104: being sent to server for the sound wave identification of damage information, so that the server is according to the detection vehicle Sound wave identification of damage information and visual signature information determine it is described detection vehicle non-destructive tests as a result, the visual signature Information is obtained based on the damage image of the detection vehicle.
The method concrete implementation that can be applicable to terminal device described above and treatment process are referred to aforementioned side The description of method embodiment.
Based on aforementioned implementation describe, this specification also provide it is a kind of can be applied to such as server of vehicle insurance server or The processing method of the vehicle damage detection of the Platform Server side of vehicle insurance server is provided.In specific one embodiment, figure Shown in 10, the flow diagram of another embodiment of the method that Figure 10 this specification provides, the method may include:
S200: it receives the sound wave using the determining detection vehicle of the reflected acoustic wave information that mobile test side is sent and identifies damage Hurt information, the reflected acoustic wave information is based on mobile test side to detection vehicle emissions sound wave and receives the detection vehicle reflection Sound wave generate data information;
S202: according to the sound wave identification of damage information and visual signature information of the detection vehicle, the detection vehicle is determined Non-destructive tests as a result, the visual signature information based on it is described detection vehicle damage image obtain.
It should be noted that the method for this specification embodiment terminal device side or server-side described above, It can also include other embodiments according to the description of related more mutual embodiments of the method for top-cross, such as utilize the reflected acoustic wave Information calculates mobile test side to the distance of the detection vehicle, constructs the detected of the detection vehicle based on the distance The construction view in region determines that there are the first kind sound of deformation of unevenness according to the fluctuations information of component in the construction view Wave identification of damage information;Alternatively, calculating the material point in the detected region of the detection vehicle using the reflected acoustic wave information Cloth information determines the second class sound wave identification of damage information according to the material distributed intelligence;Believe alternatively, being damaged according to the sound wave Breath, the recognition result based on the visual signature information is calibrated, determine it is described detection vehicle non-destructive tests as a result, or Person, using the sound wave damage information, to the parameter of the deep neural network for carrying out identifying processing to vehicle damage image It is modified.Concrete implementation mode is referred to the description of aforementioned related method embodiment, does not repeat one by one herein.
Various embodiments are described in a progressive manner for the above method in this specification, identical between each embodiment Similar part may refer to each other, and each embodiment focuses on the differences from other embodiments.Correlation Place illustrates referring to the part of embodiment of the method.
Embodiment of the method provided by the embodiment of the present application can be in fixed terminal, mobile terminal, server or similar Arithmetic unit in execute.For running on mobile terminals, Figure 11 is damaged using a kind of vehicle of this specification embodiment The mobile terminal hardware block diagram for the processing method that triage is surveyed, there is more or fewer hardware configurations.Specifically, such as Figure 11 institute Show, mobile terminal 11 may include one or more (one is only shown in figure) processors 102 (processor 102 may include but Be not limited to the processing unit of Micro-processor MCV or programmable logic device FPGA etc.), memory 104 for storing data, with And the transmission module 106 for communication function.It will appreciated by the skilled person that structure shown in Figure 11 is only to show Meaning, does not cause to limit to the structure of above-mentioned electronic device.For example, mobile terminal may also include it is more than shown in Figure 11 or The less component of person, such as can also include other processing hardware, such as GPU (Graphics Processing Unit, image Processor), or with the configuration different from shown in Figure 11.
Memory 104 can be used for storing the software program and module of application software, such as one of embodiment of the present invention Corresponding program instruction/the module of processing method of vehicle damage detection, processor 102 are stored in memory 104 by operation Software program and module, thereby executing various function application and data processing, i.e., the insuring of realization terminal screen insurance, The processing such as Claims Resolution, examination, compensation.Memory 104 may include high speed random access memory, may also include nonvolatile memory, such as One or more magnetic storage device, flash memory or other non-volatile solid state memories.In some instances, memory 104 can further comprise the memory remotely located relative to processor 102, these remote memories can pass through network connection To terminal.The example of above-mentioned network include but is not limited to internet, intranet, local area network, mobile radio communication and A combination thereof.
Transmission module 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include The wireless network that the communication providers of terminal 10 provide.In an example, transmission module 106 includes that a network is suitable Orchestration (Network Interface Controller, NIC), can be connected by base station with other network equipments so as to Internet is communicated.In an example, transmission module 106 can be radio frequency (Radio Frequency, RF) module, For wirelessly being communicated with internet.
Based on the processing method that vehicle damage described above detects, this specification also provides a kind of vehicle damage detection Processing unit.The device may include system (including the distributed system for having used this specification embodiment the method System), software (application), module, component, server, client etc. and the apparatus for combining necessary implementation hardware.Based on same One innovation thinking, the processing unit in a kind of embodiment that this specification provides is as described in the following examples.Due to device solution Certainly the implementation of problem is similar to method, thus the implementation of the specific processing unit of this specification embodiment may refer to it is aforementioned The implementation of method, overlaps will not be repeated.Although device described in following embodiment is preferably realized with software, The realization of the combination of hardware or software and hardware is also that may and be contemplated.Specifically, as shown in figure 12, Figure 12 is this The modular structure for the processing device embodiment that a kind of vehicle damage that can be used for server-side that specification provides detects is shown It is intended to, the server can be individual server or server cluster or distributed system etc., specifically can wrap It includes:
Acoustic detection receiving module 200, can be used for receiving mobile test side transmission utilizes the reflected acoustic wave information Determine that the sound wave identification of damage information of detection vehicle, the reflected acoustic wave information are based on mobile test side to detection vehicle emissions sound The data information that wave and the sound wave for receiving the detection vehicle reflection generate;
Processing module 202 is damaged, can be used for sound wave identification of damage information and visual signature according to the detection vehicle Information determines the non-destructive tests of the detection vehicle as a result, damage figure of the visual signature information based on the detection vehicle As obtaining.
Visual signature information in the damage processing module 202, can be by the damage processing module 202 to vehicle Damage image using preset algorithm or network model processing after obtain, also can receive and handled by other modular units Obtained feedback result.
The associated description of processing method based on the detection of aforementioned server side vehicle damage, this specification provide described In another embodiment of device, the sound wave identification of damage information may include at least one of following:
Using the reflected acoustic wave information, mobile test side is calculated to the distance of the detection vehicle, is based on the distance Building includes at least one construction view view that the detection vehicle is detected the surface in region, is detected inside region, is determined First kind sound wave identification of damage information including the construction view;
Using the reflected acoustic wave information, determine to include the of material distributed intelligence that the detection vehicle is detected region Two class sound wave identification of damage information.
In another embodiment of described device, the damage processing module 202 may include:
As a result calibration unit 2020 can be used for according to the sound wave damage information, to based on the visual signature information Recognition result calibrated, determine it is described detection vehicle non-destructive tests result.
In another embodiment, the damage processing module 202 may include:
Modifying model unit 2022, can be used for using the sound wave damage information, to for vehicle damage image into The parameter of the deep neural network of row identifying processing is modified;
Correspondingly, damaged processing module 202 using the deep neural network after parameters revision to vehicle damage image into Row identifying processing obtains the non-destructive tests result of the detection vehicle.
It, can be using at least one of following modes in the vehicle damage identifying processing of described device:
Sound wave used by being detected to the detection vehicle is ultrasonic wave;
The damage image of the detection vehicle is uploaded by the mobile test side shooting and is obtained.
As shown in figure 13, based on aforementioned related method embodiment describe, Figure 13 be this specification provide can be used for moving A kind of modular structure schematic diagram of the processing device embodiment of vehicle damage detection of dynamic test side side.Described mobile detection End can wrap may include mobile communications device, notebook, mobile unit, personal digital assistant etc. terminal device.Specifically, In one embodiment of described device, may include:
Acoustic detection module 300 can be used for detection vehicle emissions sound wave, and receive the sound wave of detection vehicle reflection, Generate reflected acoustic wave information;
Sound wave non-destructive tests module 302 can be used for determining the sound of the detection vehicle based on the reflected acoustic wave information Wave identification of damage information;
Data uploading module 304 can be used for the sound wave identification of damage information being sent to server, so that the clothes Business device determines that the damage of the detection vehicle is known according to the sound wave identification of damage information and visual signature information of the detection vehicle Not as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
In another embodiment of described device, the sound wave non-destructive tests module 302 may include:
First non-destructive tests unit 3020 can be used for calculating mobile test side to institute using the reflected acoustic wave information The distance for stating detection vehicle includes that the detection vehicle is detected the surface in region, detected region based on the distance building Internal at least one construction view view, determining includes the first kind sound wave identification of damage information of the construction view.
Device described in the present embodiment, can based on Acoustic Wave Propagation information technology object (can for mobile test side or The a certain partial devices or other reference substances of mobile test side) arrive the surface and inside for detecting the detected region of vehicle The distance of component forms construction view based on distance building.Construction view can be used for being the construction under faulted condition with vehicle View compares, the abnormal fluctuations information in obtaining widget or structure, and then may determine that vehicle with the presence or absence of recess Deform equivalent damage.
Correspondingly, it is detected to the wave impedance difference identification of different materials to be also based on sound wave in another embodiment The material distribution situation in region.Therefore, in another embodiment of described device, the sound wave non-destructive tests module 302 can be with Include:
Second non-destructive tests unit 3022 can be used for determining to include the detection vehicle using the reflected acoustic wave information Second class sound wave identification of damage information of the material distributed intelligence in detected region.
The present embodiment device can obtain the material distributed intelligence on detected surface, so as to judge surface with the presence or absence of paint Emaciated face is fallen, if has dust covering, if has metal layer exposing etc..The vehicle damage recognition result that can be further improved Accuracy.
Figure 14 is the modular structure schematic diagram of another embodiment for the described device that this specification provides, in embodiment In, the sound wave non-destructive tests module 302 of described device may include calculating the device unit for obtaining first kind sound wave identification of damage, It also may include calculating the device unit for obtaining the second class sound wave identification of damage.Or may include above-mentioned the two, such as Figure 14 institute Show, wherein the dotted line expression in Figure 10 can include the device unit simultaneously in some embodiments.
As described in preceding method embodiment, in the other embodiments of described device, the acoustic detection unit is to the inspection Sound wave used by measuring car is detected is ultrasonic wave;
Alternatively, further include image capturing unit, for shooting the damage image for obtaining the detection vehicle, and by the damage Hurt image and is sent to server.
It should be noted that the device that this specification embodiment is described above, also according to the description of related method embodiment It may include other embodiments.Concrete implementation mode is referred to the description of embodiment of the method, does not go to live in the household of one's in-laws on getting married one by one herein It states.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Since it is substantially similar In embodiment of the method, so being described relatively simple, the relevent part can refer to the partial explaination of embodiments of method.
A kind of processing unit for vehicle damage detection that this specification embodiment provides, can be by being mounted on mobile detection The acoustic detection unit at end, to detection vehicle emissions sound wave.Then it receives and is detected the sound wave that vehicle is reflected back, by collecting, The information of acoustic wave of reflection is analyzed, the degree of impairment on the surface and inside of detecting vehicle can be detected and be identified, obtained Detect the degree of impairment of vehicle.Server can use the vehicle damage information of acoustic detection acquisition in some embodiments, make For auxiliary information or the damage information obtained based on vehicle image is combined, determines the damage information of vehicle, Ke Yijin jointly The accuracy of one step raising non-destructive tests.This specification embodiment is special using the sound impedance of some sound rangings and unlike material Property etc., the data processing of specific dimension can be carried out to the sound wave of reflection, identify that the more accurate sound wave of detection vehicle is known Other damage information, this sound wave identification of damage information can be used as the non-destructive tests of detection vehicle as a result, can also be with secondary combined Non-destructive tests mode or non-destructive tests are as a result, realize the whole accuracy and reliability for improving vehicle damage recognition result, in turn Improve vehicle Claims Resolution setting loss result.
The treating method and apparatus for the vehicle damage detection that this specification embodiment provides can be in a computer by handling Device executes corresponding program instruction to realize, such as using the c++ language of windows operating system in the realization of the end PC or other examples As Linux, android, the corresponding application design language of iOS system combine necessary hardware realization, or based on distribution The multiserver of system is handled, or realization of the processing logic based on quantum computer etc..Specifically, the one of this specification offer Kind server realizes in the embodiment of the above method or device that the server may include processor and handle for storage The memory of device executable instruction, the processor are realized when executing described instruction:
The sound wave identification of damage using the determining detection vehicle of the reflected acoustic wave information that mobile test side is sent is received to believe Breath, the reflected acoustic wave information to detection vehicle emissions sound wave and receive the sound for detecting vehicle and reflecting based on mobile test side The data information that wave generates;
According to the sound wave identification of damage information and visual signature information of the detection vehicle, the damage of the detection vehicle is determined Hurt recognition result, the visual signature information is obtained based on the damage image of the detection vehicle.
A kind of terminal device that this specification provides is realized in the embodiment of the above method or device, such as mobile phone, described Terminal device may include processor and the memory for storage processor executable instruction, described in the processor executes It is realized when instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server, so that sound of the server according to the detection vehicle Wave identification of damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information base It is obtained in the damage image of the detection vehicle.
Instruction described above can store in a variety of computer readable storage mediums.The computer-readable storage medium Matter may include the physical unit for storing information, and the side such as electricity, magnetic or optics will can be utilized again after information digitalization The media of formula are stored.It may include: to be stored in the way of electric energy that computer readable storage medium described in the present embodiment, which has, The device of information such as, various memory, such as RAM, ROM;The device of information is stored in the way of magnetic energy such as, hard disk, floppy disk, magnetic Band, core memory, magnetic bubble memory, USB flash disk;Using optical mode storage information device such as, CD or DVD.Certainly, there are also it Readable storage medium storing program for executing of his mode, such as quantum memory, graphene memory etc..The following devices or server or Instruction in client or system ibid describes.
According to aforementioned described, this specification also provides a kind of system of vehicle damage detection, and the system may include moving Dynamic test side and server,
The mobile test side includes at least one processor and the memory for storage processor executable instruction, The processor is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;Based on described Reflected acoustic wave information determines the sound wave identification of damage information of the detection vehicle;Shooting obtains the damage figure of the detection vehicle Picture;And the sound wave identification of damage information and the damage image are sent to server;
The server includes at least one processor and the memory for storage processor executable instruction, described Processor is realized when executing described instruction:
The sound wave identification of damage information and damage image that mobile test side is sent are received, according to the sound wave of the detection vehicle Identification of damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information base It is obtained in the damage image of the detection vehicle.
In other system embodiments, sound wave used by being detected to the detection vehicle is ultrasonic wave, and/or, The sound wave identification of damage information includes characterizing the detection vehicle and being detected region to show fluctuating distributed intelligence, the detection Vehicle is detected at least one of the material distributed intelligence in region.
Figure 15 is a kind of implement scene schematic diagram using this specification system embodiment.
Mobile terminal described in above-described embodiment specifically can be mobile communication terminal, such as mobile phone.In this way, when needing When carrying out vehicle damage detection, user can be used portable mobile communication terminal and carry out shooting acquisition damage picture At the same time it can also detecting the associated injury information of depressed deformation or material distribution by ultrasonic wave, providing non-destructive tests and determining Processing result precision is damaged, user experience is improved.Mobile communication terminal can combine and use the camera or velocity pick-up of itself Device, direction sensor etc. provide the information of non-destructive tests processing.Therefore, a kind of implementation above method that this specification provides Mobile communication terminal, the mobile communication terminal may include processor and the storage for storage processor executable instruction Device, the processor are realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
Shooting obtains the damage image of the detection vehicle;
The sound wave identification of damage information and damage image are sent to server, so that the server is according to the inspection The sound wave identification of damage information and visual signature information of measuring car determine the non-destructive tests of the detection vehicle as a result, the vision Characteristic information is obtained based on the damage image of the detection vehicle.
Mobile terminal described in above-described embodiment can be specifically mobile unit, and mobile unit can be according to various On motor-driven or non power driven vehicle.In this way, user can be used mobile unit and shoot when needing to carry out vehicle damage detection While obtaining damage picture, the associated injury information of depressed deformation or material distribution can also be detected by ultrasonic wave, is mentioned For non-destructive tests and setting loss processing result precision, user experience is improved.Mobile unit can be with the automobile data recorder or speed of vehicle Degree sensor, direction sensor etc. are connected, and provide the information of non-destructive tests processing or camera shooting and/or the sound of car owner's equipment Wave probe unit can separate, and so as to user's use, carry out image taking or acoustic detection.Therefore, the one of this specification offer Kind implements the mobile unit of the above method, and the mobile unit may include processor and finger can be performed for storage processor The memory of order, the processor are realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
Shooting obtains the damage image of the detection vehicle;
The sound wave identification of damage information and damage image are sent to server, so that the server is according to the inspection The sound wave identification of damage information and visual signature information of measuring car determine the non-destructive tests of the detection vehicle as a result, the vision Characteristic information is obtained based on the damage image of the detection vehicle.
It is right in the embodiment of the above method or device or server or system and mobile communication terminal, mobile unit etc. Sound wave used by the detection vehicle is detected can be ultrasonic wave.The damage check application of setting loss is carried out in car insurance In scene, the construction view of the detection surface of vehicle and inside that can be more clear using ultrasonic wave, the spy to material distribution Survey is also more clear, and can be further improved the accuracy of non-destructive tests result.
It should be noted that this specification embodiment device described above, terminal device, server, system, mobile logical Believe terminal, mobile unit etc., can also include other embodiments according to the description of correlation technique or Installation practice, such as Sound wave used by the detection vehicle is detected is ultrasonic wave, and, the sound wave identification of damage information includes characterization institute That states the detected region of detection vehicle shows that fluctuating distributed intelligence, the detection vehicle are detected in the material distributed intelligence in region At least one.Concrete implementation mode is referred to the description of embodiment of the method, does not repeat one by one herein.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for hardware+ For program class embodiment, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to side The part of method embodiment illustrates.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can With or may be advantageous.
A kind of processing method for vehicle damage detection that this specification embodiment provides device, equipment, server and is System, can be by the acoustic detection unit of mobile test side, to detection vehicle emissions sound wave.Then it receives and is detected vehicle reflection Return sound wave, by collecting, analyzing the information of acoustic wave of reflection, can to detection vehicle surface and inside degree of impairment into Row detection and identification, obtain the degree of impairment of detection vehicle.It can use the vehicle of acoustic detection acquisition in some embodiments Damage information as auxiliary information or is combined the damage information obtained based on vehicle image, determines the damage of vehicle jointly Information can be further improved the accuracy of non-destructive tests.This specification embodiment utilizes some sound rangings and unlike material Sound impedance characteristic etc., the data processing of specific dimension can be carried out to the sound wave of reflection, identify detection vehicle more Accurate sound wave identification of damage information, this sound wave identification of damage information can be used as the non-destructive tests of detection vehicle as a result, Can in a manner of secondary combined non-destructive tests or non-destructive tests as a result, realize the whole accuracy for improving vehicle damage recognition result and Reliability, and then improve vehicle Claims Resolution setting loss result.
Although this application provides the method operating procedure as described in embodiment or flow chart, based on conventional or noninvasive The labour for the property made may include more or less operating procedure.The step of enumerating in embodiment sequence is only numerous steps One of execution sequence mode, does not represent and unique executes sequence.It, can when device or client production in practice executes To execute or parallel execute (such as at parallel processor or multithreading according to embodiment or method shown in the drawings sequence The environment of reason).
Although mentioned in this specification embodiment content using ultrasonic listening, using sound wave propagation characteristic calculate away from From, determined using the sound impedance characteristic of different medium material distribution and mobile test side directly feed back sound wave reflective information or It locally identifies and feeds back to the data acquisition of server, CNN network model processing visual signature information or the like after damaging, deposits The operations such as storage, interaction, calculating, judgement and data description, still, this specification embodiment is not limited to meet industry Communication standard, standard image data processing protocol, communication protocol and standard network model/template or this specification embodiment are retouched The case where stating.Certain professional standards use reality modified slightly in customized mode or the practice processes of embodiment description Apply scheme also and may be implemented above-described embodiment is identical, after equivalent or close or deformation it is anticipated that implementation result.It is repaired using these Change or the embodiment of the acquisitions such as deformed data acquisition, storage, judgement, processing mode, still may belong to this specification Within the scope of optional embodiment.
In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example, Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit. Designer nearly all obtains corresponding hardware circuit by the way that improved method flow to be programmed into hardware circuit.Cause This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device (Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by user.By designer Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD, designs and makes without asking chip maker Dedicated IC chip.Moreover, nowadays, substitution manually makes IC chip, this programming is also used instead mostly " is patrolled Volume compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development, And the source code before compiling also write by handy specific programming language, this is referred to as hardware description language (Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL (Advanced Boolean Expression Language)、AHDL(Altera Hardware Description Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL (Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby Hardware Description Language) etc., VHDL (Very-High-Speed is most generally used at present Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also answer This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages, The hardware circuit for realizing the logical method process can be readily available.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing The computer for the computer readable program code (such as software or firmware) that device and storage can be executed by (micro-) processor can Read medium, logic gate, switch, specific integrated circuit (Application Specific Integrated Circuit, ASIC), the form of programmable logic controller (PLC) and insertion microcontroller, the example of controller includes but is not limited to following microcontroller Device: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320 are deposited Memory controller is also implemented as a part of the control logic of memory.It is also known in the art that in addition to Pure computer readable program code mode is realized other than controller, can be made completely by the way that method and step is carried out programming in logic Controller is obtained to come in fact in the form of logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and insertion microcontroller etc. Existing identical function.Therefore this controller is considered a kind of hardware component, and to including for realizing various in it The device of function can also be considered as the structure in hardware component.Or even, it can will be regarded for realizing the device of various functions For either the software module of implementation method can be the structure in hardware component again.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity, Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used Think personal computer, laptop computer, vehicle-mounted human-computer interaction device, cellular phone, camera phone, smart phone, individual Digital assistants, media player, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or The combination of any equipment in these equipment of person.
Although this specification embodiment provides the method operating procedure as described in embodiment or flow chart, based on conventional It may include either more or less operating procedure without creative means.The step of being enumerated in embodiment sequence be only One of numerous step execution sequence mode does not represent and unique executes sequence.Device or end product in practice is held When row, can be executed according to embodiment or method shown in the drawings sequence or it is parallel execute (such as parallel processor or The environment of multiple threads, even distributed data processing environment).The terms "include", "comprise" or its any other change Body is intended to non-exclusive inclusion, so that process, method, product or equipment including a series of elements are not only wrapped Those elements are included, but also including other elements that are not explicitly listed, or further includes for this process, method, product Or the element that equipment is intrinsic.In the absence of more restrictions, being not precluded is including process, the side of the element There is also other identical or equivalent elements in method, product or equipment.
For convenience of description, it is divided into various modules when description apparatus above with function to describe respectively.Certainly, implementing this The function of each module can be realized in the same or multiple software and or hardware when specification embodiment, it can also be by reality Show the module of same function by the combination realization etc. of multiple submodule or subelement.Installation practice described above is only Schematically, for example, the division of the unit, only a kind of logical function partition, can there is other draw in actual implementation The mode of dividing, such as multiple units or components can be combined or can be integrated into another system, or some features can be ignored, Or it does not execute.Another point, shown or discussed mutual coupling, direct-coupling or communication connection can be by one The indirect coupling or communication connection of a little interfaces, device or unit can be electrical property, mechanical or other forms.
It is also known in the art that other than realizing controller in a manner of pure computer readable program code, it is complete Entirely can by by method and step carry out programming in logic come so that controller with logic gate, switch, specific integrated circuit, programmable Logic controller realizes identical function with the form for being embedded in microcontroller etc..Therefore this controller is considered one kind Hardware component, and the structure that the device for realizing various functions that its inside includes can also be considered as in hardware component.Or Person even, can will be considered as realizing the device of various functions either the software module of implementation method can be hardware again Structure in component.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM), Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It will be understood by those skilled in the art that the embodiment of this specification can provide as the production of method, system or computer program Product.Therefore, in terms of this specification embodiment can be used complete hardware embodiment, complete software embodiment or combine software and hardware Embodiment form.Moreover, it wherein includes computer available programs that this specification embodiment, which can be used in one or more, Implement in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of code The form of computer program product.
This specification embodiment can describe in the general context of computer-executable instructions executed by a computer, Such as program module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, journey Sequence, object, component, data structure etc..This specification embodiment can also be practiced in a distributed computing environment, in these points Cloth calculates in environment, by executing task by the connected remote processing devices of communication network.In distributed computing ring In border, program module can be located in the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method Part explanation.In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", The description of " specific example " or " some examples " etc. means specific features described in conjunction with this embodiment or example, structure, material Or feature is contained at least one embodiment or example of this specification embodiment.In the present specification, to above-mentioned term Schematic representation be necessarily directed to identical embodiment or example.Moreover, description specific features, structure, material or Person's feature may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, in not conflicting feelings Under condition, those skilled in the art by different embodiments or examples described in this specification and different embodiment or can show The feature of example is combined.
The foregoing is merely the embodiments of this specification embodiment, are not limited to this specification embodiment.It is right For those skilled in the art, this specification embodiment can have various modifications and variations.It is all in this specification embodiment Any modification, equivalent replacement, improvement and so within spirit and principle, the right that should be included in this specification embodiment are wanted Within the scope of asking.

Claims (25)

1. a kind of processing method of vehicle damage detection, which comprises
Mobile test side emits sound wave, and receives the sound wave of detection vehicle reflection, generates reflected acoustic wave information;
Mobile test side determines the sound wave identification of damage information of the detection vehicle based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server by the mobile test side;
The server determines the detection vehicle according to the sound wave identification of damage information and visual signature information of the detection vehicle Non-destructive tests as a result, the visual signature information based on it is described detection vehicle damage image obtain.
2. a kind of processing method of vehicle damage detection, which comprises
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server, so that the server is known according to the sound wave of the detection vehicle Other damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information is based on institute The damage image for stating detection vehicle obtains.
3. a kind of processing method of vehicle damage detection as claimed in claim 2, wherein using at least one of following sides Formula:
Sound wave used by being detected to the detection vehicle is ultrasonic wave;
Shooting obtains the damage image of the detection vehicle, and the damage image is sent to server.
4. method according to claim 2, described to determine that the sound wave of the detection vehicle is known based on the reflected acoustic wave information Other damage information includes:
Using the reflected acoustic wave information, mobile test side is calculated to the distance of the detection vehicle, is based on the distance building At least one construction view view for being detected the surface in region including the detection vehicle, being detected inside region, determination include The first kind sound wave identification of damage information of the construction view.
5. method according to claim 2, described to determine that the sound wave of the detection vehicle is known based on the reflected acoustic wave information Other damage information includes:
Using the reflected acoustic wave information, determine to include second class for detecting vehicle and being detected the material distributed intelligence in region Sound wave identification of damage information.
6. a kind of processing method of vehicle damage detection, which comprises
The sound wave identification of damage information that detection vehicle is determined using reflected acoustic wave information that mobile test side is sent is received, it is described anti- It penetrates information of acoustic wave and to detection vehicle emissions sound wave and receives what the sound wave that the detection vehicle reflects generated based on mobile test side Data information;
According to the sound wave identification of damage information and visual signature information of the detection vehicle, determine that the damage of the detection vehicle is known Not as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
7. method as claimed in claim 6, the sound wave identification of damage information includes at least one of following:
Using the reflected acoustic wave information, mobile test side is calculated to the distance of the detection vehicle, is based on the distance building At least one construction view view for being detected the surface in region including the detection vehicle, being detected inside region, determination include The first kind sound wave identification of damage information of the construction view;
Using the reflected acoustic wave information, determine to include second class for detecting vehicle and being detected the material distributed intelligence in region Sound wave identification of damage information.
8. method as claimed in claim 6, wherein using at least one of following modes:
Sound wave used by being detected to the detection vehicle is ultrasonic wave;
The damage image of the detection vehicle is uploaded by the mobile test side shooting and is obtained.
9. method as claimed in claim 6, the sound wave identification of damage information and visual signature according to the detection vehicle Information determines the non-destructive tests result of the detection vehicle, comprising:
According to the sound wave identification of damage information, the recognition result based on the visual signature information is calibrated, determines institute State the non-destructive tests result of detection vehicle.
10. after method as claimed in claim 6, receiving the sound wave identification of damage information, the method also includes:
Using the sound wave identification of damage information, to the deep neural network for carrying out identifying processing to vehicle damage image Parameter is modified;
Correspondingly, the sound wave identification of damage information and visual signature information according to the detection vehicle, determines the detection The non-destructive tests result of vehicle includes: to be carried out at identification using the deep neural network after parameters revision to vehicle damage image Reason obtains the non-destructive tests result of the detection vehicle.
11. a kind of processing unit of vehicle damage detection, described device include:
Acoustic detection receiving module, the sound that detection vehicle is determined using reflected acoustic wave information sent for receiving mobile test side Wave identification of damage information, the reflected acoustic wave information are based on mobile test side to detection vehicle emissions sound wave and receive the detection The data information that the sound wave of vehicle reflection generates;
Processing module is damaged, for the sound wave identification of damage information and visual signature information according to the detection vehicle, determines institute The non-destructive tests of detection vehicle are stated as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
12. device as claimed in claim 11, the sound wave identification of damage information includes at least one of following:
Using the reflected acoustic wave information, mobile test side is calculated to the distance of the detection vehicle, is based on the distance building At least one construction view view for being detected the surface in region including the detection vehicle, being detected inside region, determination include The first kind sound wave identification of damage information of the construction view;
Using the reflected acoustic wave information, determine to include second class for detecting vehicle and being detected the material distributed intelligence in region Sound wave identification of damage information.
13. device as claimed in claim 11, the damage processing module include:
As a result calibration unit, for according to the sound wave damage information, to the recognition result based on the visual signature information into Row calibration determines the non-destructive tests result of the detection vehicle.
14. device as claimed in claim 11, the damage processing module include:
Modifying model unit, for utilizing the sound wave damage information, to for carrying out identifying processing to vehicle damage image The parameter of deep neural network is modified;
Correspondingly, damaged processing module carries out at identification vehicle damage image using the deep neural network after parameters revision Reason obtains the non-destructive tests result of the detection vehicle.
15. device as claimed in claim 11, wherein using at least one of following modes:
Sound wave used by being detected to the detection vehicle is ultrasonic wave;
The damage image of the detection vehicle is uploaded by the mobile test side shooting and is obtained.
16. a kind of processing unit of vehicle damage detection, described device include:
Acoustic detection module is used for detection vehicle emissions sound wave, and receives the sound wave of detection vehicle reflection, generates reflected acoustic wave Information;
Sound wave non-destructive tests module, for determining that the sound wave identification of damage of the detection vehicle is believed based on the reflected acoustic wave information Breath;
Data uploading module, for the sound wave identification of damage information to be sent to server, so that the server is according to institute The sound wave identification of damage information and visual signature information for stating detection vehicle determine the non-destructive tests of the detection vehicle as a result, described Visual signature information is obtained based on the damage image of the detection vehicle.
17. device as claimed in claim 16, the damage processing module include:
First non-destructive tests unit calculates mobile test side to the detection vehicle for utilizing the reflected acoustic wave information Distance includes at least one inside the surface for detecting the detected region of vehicle, detected region based on the distance building Kind construction view view, determines to include the first kind sound wave identification of damage information for constructing view.
18. device as claimed in claim 16, the damage processing module include:
Second non-destructive tests unit determines to include that the detection vehicle is detected region for utilizing the reflected acoustic wave information Material distributed intelligence the second class sound wave identification of damage information.
19. device as claimed in claim 16, wherein sound wave used by being detected to the detection vehicle is ultrasound Wave;
Alternatively, further including image capturing unit, scheme for shooting the damage image for obtaining the detection vehicle, and by the damage As being sent to server.
20. a kind of server of vehicle damage detection, including processor and for the storage of storage processor executable instruction Device, the processor are realized when executing described instruction:
The sound wave identification of damage information that detection vehicle is determined using reflected acoustic wave information that mobile test side is sent is received, it is described anti- It penetrates information of acoustic wave and to detection vehicle emissions sound wave and receives what the sound wave that the detection vehicle reflects generated based on mobile test side Data information;
According to the sound wave identification of damage information and visual signature information of the detection vehicle, determine that the damage of the detection vehicle is known Not as a result, the visual signature information is obtained based on the damage image of the detection vehicle.
21. a kind of terminal device of vehicle damage detection, including processor and depositing for storage processor executable instruction Reservoir, the processor are realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
The sound wave identification of damage information is sent to server, so that the server is known according to the sound wave of the detection vehicle Other damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information is based on institute The damage image for stating detection vehicle obtains.
22. a kind of system of vehicle damage detection, the system comprises mobile test side and server,
The mobile test side includes at least one processor and the memory for storage processor executable instruction, described Processor is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;Based on the reflection Information of acoustic wave determines the sound wave identification of damage information of the detection vehicle;Shooting obtains the damage image of the detection vehicle;With And the sound wave identification of damage information and the damage image are sent to server;
The server includes at least one processor and the memory for storage processor executable instruction, the processing Device is realized when executing described instruction:
The sound wave identification of damage information and damage image that mobile test side is sent are received, is identified according to the sound wave of the detection vehicle Damage information and visual signature information determine the non-destructive tests of the detection vehicle as a result, the visual signature information is based on institute The damage image for stating detection vehicle obtains.
23. the system as claimed in claim 22, wherein sound wave used by being detected to the detection vehicle is ultrasound Wave, and, the sound wave identification of damage information include characterize it is described detection vehicle be detected region show fluctuating distributed intelligence, The detection vehicle is detected at least one of the material distributed intelligence in region.
24. a kind of mobile communication terminal, including processor and for the memory of storage processor executable instruction, the place Reason device is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
Shooting obtains the damage image of the detection vehicle;
The sound wave identification of damage information and damage image are sent to server, so that the server is according to the detection vehicle Sound wave identification of damage information and visual signature information determine it is described detection vehicle non-destructive tests as a result, the visual signature Information is obtained based on the damage image of the detection vehicle.
25. a kind of mobile unit, including processor and for the memory of storage processor executable instruction, the processor It is realized when executing described instruction:
To detection vehicle emissions sound wave, and the sound wave of detection vehicle reflection is received, generates reflected acoustic wave information;
The sound wave identification of damage information of the detection vehicle is determined based on the reflected acoustic wave information;
Shooting obtains the damage image of the detection vehicle;
The sound wave identification of damage information and damage image are sent to server, so that the server is according to the detection vehicle Sound wave identification of damage information and visual signature information determine it is described detection vehicle non-destructive tests as a result, the visual signature Information is obtained based on the damage image of the detection vehicle.
CN201811465660.1A 2018-12-03 2018-12-03 Processing method, device, equipment, server and system for vehicle damage detection Active CN110033608B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811465660.1A CN110033608B (en) 2018-12-03 2018-12-03 Processing method, device, equipment, server and system for vehicle damage detection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811465660.1A CN110033608B (en) 2018-12-03 2018-12-03 Processing method, device, equipment, server and system for vehicle damage detection

Publications (2)

Publication Number Publication Date
CN110033608A true CN110033608A (en) 2019-07-19
CN110033608B CN110033608B (en) 2020-12-11

Family

ID=67235287

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811465660.1A Active CN110033608B (en) 2018-12-03 2018-12-03 Processing method, device, equipment, server and system for vehicle damage detection

Country Status (1)

Country Link
CN (1) CN110033608B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112449053A (en) * 2019-09-04 2021-03-05 北京小米移动软件有限公司 Control method and device for prompt signal of mobile terminal and storage medium
CN114152676A (en) * 2021-11-16 2022-03-08 上海工程技术大学 Method for realizing automatic detection of wind power blade defects based on ultrasonic waves
CN114462553A (en) * 2022-04-12 2022-05-10 之江实验室 Image labeling and element extraction method and system for car insurance fraud prevention

Citations (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202710515U (en) * 2012-05-02 2013-01-30 山西省电力公司大同供电分公司 Hardware fitting fatigue damage detection apparatus
CN103267807A (en) * 2013-05-03 2013-08-28 上海和伍新材料科技有限公司 Method and device for calibrating probe in ultrasonic detection equipment
CN103412047A (en) * 2013-08-20 2013-11-27 陕西师范大学 Method for identifying true and false metal by ultrasonic non-destructive detection method
CN103674574A (en) * 2013-12-27 2014-03-26 天津森宇科技发展有限公司 Automatic automobile-tyre detecting device
CN104777232A (en) * 2015-04-10 2015-07-15 上海和伍新材料科技有限公司 Workpiece holder in ultrasonic testing equipment and positioning method
CN104897040A (en) * 2015-06-17 2015-09-09 苏州福德电子科技有限公司 Automobile paint thickness measuring apparatus and method
US20160005241A1 (en) * 2011-01-21 2016-01-07 The United States Of America As Represented By The Secretary Of The Navy Vehicle damage detection system and method of manufacturing the same
CN105403622A (en) * 2015-11-07 2016-03-16 哈尔滨理工大学 Sheet material damage identifying and positioning method
CN105486397A (en) * 2014-10-02 2016-04-13 赫拉胡克公司 Sensor device and method for recording at least one contact event on a vehicle
CN105491960A (en) * 2013-07-02 2016-04-13 三星电子株式会社 Ultrasonic diagnostic apparatus and method of operating the same
CN105607288A (en) * 2015-12-29 2016-05-25 大连楼兰科技股份有限公司 Intelligent glasses omnibearing vehicle part completeness detection method based on acoustic detection assistance
CN205539308U (en) * 2016-04-21 2016-08-31 山东师范大学 Electronic hardware inspection and maintenance device
CN205563574U (en) * 2016-01-29 2016-09-07 乐普(北京)医疗器械股份有限公司 Ultrasonic imaging system
CN106226405A (en) * 2016-08-31 2016-12-14 成都主导软件技术有限公司 The Sensitivity Calibration method and apparatus of Railway wheelset ultrasonic test equipment
CN106403857A (en) * 2016-11-08 2017-02-15 广州兰泰仪器有限公司 Special ultrasonic thickness gauge for soft materials and measurement method of ultrasonic thickness gauge
CN106560706A (en) * 2016-04-25 2017-04-12 中兴新能源汽车有限责任公司 Flaw detection apparatus, wireless charging emitter, wireless charging receiver and vehicle
CN106643496A (en) * 2016-12-20 2017-05-10 宁波中令清洁技术有限公司 Vehicle body position detection method for washing vehicles
CN107194323A (en) * 2017-04-28 2017-09-22 阿里巴巴集团控股有限公司 Car damage identification image acquiring method, device, server and terminal device
CN107292394A (en) * 2016-04-11 2017-10-24 富泰华工业(深圳)有限公司 Vehicle damage pricing system and method
CN206920389U (en) * 2017-06-26 2018-01-23 西安科技大学 A kind of Ultrasonic metal crack detection machine
CN107817294A (en) * 2017-11-07 2018-03-20 湖州奥驿汽车服务有限公司 A kind of vehicle inspection device based on supersonic detector
CN107942335A (en) * 2017-11-28 2018-04-20 达闼科技(北京)有限公司 A kind of object identification method and equipment
CN108287193A (en) * 2017-12-27 2018-07-17 东南大学 A kind of single channel ultrasonic nondestructive test instrument based on Android mobile device
CN108362775A (en) * 2018-05-04 2018-08-03 安徽车鑫保汽车销售有限公司 A kind of automobile inspection supersonic sounding device
CN207816901U (en) * 2017-12-25 2018-09-04 泉州市惠诚汽车服务有限公司 A kind of auto parts machinery damage detection apparatus
CN207964737U (en) * 2018-01-12 2018-10-12 苏州工业园区浩高电子科技有限公司 A kind of electronic product ultrasonic detection device
CN208156190U (en) * 2018-03-06 2018-11-27 赵晶 Car surface detection and reparation all-in-one machine

Patent Citations (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160005241A1 (en) * 2011-01-21 2016-01-07 The United States Of America As Represented By The Secretary Of The Navy Vehicle damage detection system and method of manufacturing the same
CN202710515U (en) * 2012-05-02 2013-01-30 山西省电力公司大同供电分公司 Hardware fitting fatigue damage detection apparatus
CN103267807A (en) * 2013-05-03 2013-08-28 上海和伍新材料科技有限公司 Method and device for calibrating probe in ultrasonic detection equipment
CN105491960A (en) * 2013-07-02 2016-04-13 三星电子株式会社 Ultrasonic diagnostic apparatus and method of operating the same
CN103412047A (en) * 2013-08-20 2013-11-27 陕西师范大学 Method for identifying true and false metal by ultrasonic non-destructive detection method
CN103674574A (en) * 2013-12-27 2014-03-26 天津森宇科技发展有限公司 Automatic automobile-tyre detecting device
CN105486397A (en) * 2014-10-02 2016-04-13 赫拉胡克公司 Sensor device and method for recording at least one contact event on a vehicle
CN104777232A (en) * 2015-04-10 2015-07-15 上海和伍新材料科技有限公司 Workpiece holder in ultrasonic testing equipment and positioning method
CN104897040A (en) * 2015-06-17 2015-09-09 苏州福德电子科技有限公司 Automobile paint thickness measuring apparatus and method
CN105403622A (en) * 2015-11-07 2016-03-16 哈尔滨理工大学 Sheet material damage identifying and positioning method
CN105607288A (en) * 2015-12-29 2016-05-25 大连楼兰科技股份有限公司 Intelligent glasses omnibearing vehicle part completeness detection method based on acoustic detection assistance
CN205563574U (en) * 2016-01-29 2016-09-07 乐普(北京)医疗器械股份有限公司 Ultrasonic imaging system
CN107292394A (en) * 2016-04-11 2017-10-24 富泰华工业(深圳)有限公司 Vehicle damage pricing system and method
CN205539308U (en) * 2016-04-21 2016-08-31 山东师范大学 Electronic hardware inspection and maintenance device
CN106560706A (en) * 2016-04-25 2017-04-12 中兴新能源汽车有限责任公司 Flaw detection apparatus, wireless charging emitter, wireless charging receiver and vehicle
CN106226405A (en) * 2016-08-31 2016-12-14 成都主导软件技术有限公司 The Sensitivity Calibration method and apparatus of Railway wheelset ultrasonic test equipment
CN106403857A (en) * 2016-11-08 2017-02-15 广州兰泰仪器有限公司 Special ultrasonic thickness gauge for soft materials and measurement method of ultrasonic thickness gauge
CN106643496A (en) * 2016-12-20 2017-05-10 宁波中令清洁技术有限公司 Vehicle body position detection method for washing vehicles
CN107194323A (en) * 2017-04-28 2017-09-22 阿里巴巴集团控股有限公司 Car damage identification image acquiring method, device, server and terminal device
CN206920389U (en) * 2017-06-26 2018-01-23 西安科技大学 A kind of Ultrasonic metal crack detection machine
CN107817294A (en) * 2017-11-07 2018-03-20 湖州奥驿汽车服务有限公司 A kind of vehicle inspection device based on supersonic detector
CN107942335A (en) * 2017-11-28 2018-04-20 达闼科技(北京)有限公司 A kind of object identification method and equipment
CN207816901U (en) * 2017-12-25 2018-09-04 泉州市惠诚汽车服务有限公司 A kind of auto parts machinery damage detection apparatus
CN108287193A (en) * 2017-12-27 2018-07-17 东南大学 A kind of single channel ultrasonic nondestructive test instrument based on Android mobile device
CN207964737U (en) * 2018-01-12 2018-10-12 苏州工业园区浩高电子科技有限公司 A kind of electronic product ultrasonic detection device
CN208156190U (en) * 2018-03-06 2018-11-27 赵晶 Car surface detection and reparation all-in-one machine
CN108362775A (en) * 2018-05-04 2018-08-03 安徽车鑫保汽车销售有限公司 A kind of automobile inspection supersonic sounding device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
井上靖雄: "用弹性表面波检测机车车辆轴承的损伤", 《国外内燃机车》 *
苏通大桥建设指挥部: "《苏通大桥论文集 第1辑》", 30 September 2004 *
赵宇星: "对比试块与机车车轴超声波探伤的关系", 《铁道技术监督》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112449053A (en) * 2019-09-04 2021-03-05 北京小米移动软件有限公司 Control method and device for prompt signal of mobile terminal and storage medium
CN114152676A (en) * 2021-11-16 2022-03-08 上海工程技术大学 Method for realizing automatic detection of wind power blade defects based on ultrasonic waves
CN114462553A (en) * 2022-04-12 2022-05-10 之江实验室 Image labeling and element extraction method and system for car insurance fraud prevention
CN114462553B (en) * 2022-04-12 2022-07-15 之江实验室 Image labeling and element extracting method and system for car insurance anti-fraud

Also Published As

Publication number Publication date
CN110033608B (en) 2020-12-11

Similar Documents

Publication Publication Date Title
CN110045382A (en) Processing method, device, equipment, server and the system of vehicle damage detection
JP2024041815A (en) System and method for scene reconstruction that disentangles light and matter fields - Patents.com
CN104091766B (en) System and method for inspecting wafer
US7075661B2 (en) Apparatus and method for obtaining three-dimensional positional data from a two-dimensional captured image
CN107025663A (en) It is used for clutter points-scoring system and method that 3D point cloud is matched in vision system
Liu et al. The use of laser range finder on a robotic platform for pipe inspection
CN110033608A (en) Processing method, device, equipment, server and the system of vehicle damage detection
EP2538241A2 (en) Advanced remote nondestructive inspection system and process
JP6039050B1 (en) Inspection method for structures using drone
CN105388478A (en) Method and arrangement for detecting acoustic and optical information as well as a corresponding computer program and a corresponding computer-readable storage medium
CN106796101A (en) Method and system for designing stair lift guide assembly
US11762378B2 (en) Remote non-destructive testing
US7711507B2 (en) Method and device for determining the relative position of a first object with respect to a second object, corresponding computer program and a computer-readable storage medium
CN107036534A (en) Method and system based on laser speckle measurement Vibration Targets displacement
JPWO2017149869A1 (en) Information processing apparatus, method, program, and multi-camera system
CN109715071A (en) Device and method for detecting intervention tool
KR20190013467A (en) Live metrology of an object during manufacturing or other operations
JP5599849B2 (en) Lens inspection apparatus and method
Ngeljaratan et al. System identification of large-scale bridges using target-tracking digital image correlation
CN114460588B (en) High-precision imaging method based on active acoustic imager
Tang et al. Surveying, geomatics, and 3D reconstruction
CN109900702A (en) Processing method, device, equipment, server and the system of vehicle damage detection
US9039183B2 (en) Ophthalmoscopes
CN113344954A (en) Boundary detection method and device, computer equipment, storage medium and sensor
CN116338628A (en) Laser radar sounding method and device based on learning architecture and electronic 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
REG Reference to a national code

Ref country code: HK

Ref legal event code: DE

Ref document number: 40010785

Country of ref document: HK

TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20201012

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant after: Innovative advanced technology Co.,Ltd.

Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant before: Advanced innovation technology Co.,Ltd.

Effective date of registration: 20201012

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant after: Advanced innovation technology Co.,Ltd.

Address before: Greater Cayman, British Cayman Islands

Applicant before: Alibaba Group Holding Ltd.

GR01 Patent grant
GR01 Patent grant