WO2015173594A2 - Examining defects - Google Patents

Examining defects Download PDF

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Publication number
WO2015173594A2
WO2015173594A2 PCT/GB2015/051454 GB2015051454W WO2015173594A2 WO 2015173594 A2 WO2015173594 A2 WO 2015173594A2 GB 2015051454 W GB2015051454 W GB 2015051454W WO 2015173594 A2 WO2015173594 A2 WO 2015173594A2
Authority
WO
WIPO (PCT)
Prior art keywords
defect
image
smartphone
analysis
app
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.)
Ceased
Application number
PCT/GB2015/051454
Other languages
French (fr)
Other versions
WO2015173594A3 (en
Inventor
Anthony RHOADES
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.)
Pre Chasm Research Ltd
Original Assignee
Pre Chasm Research 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 Pre Chasm Research Ltd filed Critical Pre Chasm Research Ltd
Priority to CA2949202A priority Critical patent/CA2949202A1/en
Priority to US15/311,394 priority patent/US10402957B2/en
Priority to EP15741239.6A priority patent/EP3143590A2/en
Publication of WO2015173594A2 publication Critical patent/WO2015173594A2/en
Publication of WO2015173594A3 publication Critical patent/WO2015173594A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/00127—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture
    • H04N1/00281—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a telecommunication apparatus, e.g. a switched network of teleprinters for the distribution of text-based information, a selective call terminal
    • H04N1/00307—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a telecommunication apparatus, e.g. a switched network of teleprinters for the distribution of text-based information, a selective call terminal with a mobile telephone apparatus
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
    • G01N2021/9586—Windscreens
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition of objects for industrial automation

Definitions

  • This invention relates to examining defects, particularly defects that can be repaired, such as may appear on motor vehicles, and including windscreen chips, bodywork damage and scuffs to alloy wheels.
  • Windscreen defects in automobiles are usually initiated by a road chipping impact.
  • Defects are of various types and occur in different locations on the windscreen. The type and location are important in determining whether, and in what way, the defect will develop, and this, in turn, is important in deciding whether and how urgently to seek remedial treatment, and even whether the vehicle is safe to drive. Defects can also occur in side and rear windows.
  • Bodywork defects can comprise dents of different sizes and severity that can be repaired by knocking out and perhaps painting, or scratches. Alloy wheels suffer scuffs and scratches that can also be repaired.
  • the present invention provides means to make an assessment of a defect, and to initiate a repair or replacement process.
  • the invention comprises broadly a method of analysing a defect comprising analysing a digital image of the defect on a portable device using software contained in the device or in an associated processor by virtue of a downloaded app.
  • the device may comprise a smartphone, which already has all the imaging, storage and processing power needed, and has the advantage that many people, and particularly many drivers and vehicle owners already possess one and need not purchase specialised equipment.
  • a smartphone may be used to form the image using a built-in camera, of which there are usually two, or may be used in conjunction with a near field communication equipped digital camera, which can form the image and transfer it to the smartphone.
  • the smartphone may comprise data processing facility, by virtue of the app, that carries out the analysis or it may transfer the image to an external processor equipped with an app for analysis and recording, and such external processor may copy the result of such analysis to the smartphone.
  • the image analysis may involve determination of features of the defect, such as, in the case of a glass defect, its size, shape and depth, its proximity to the edge of the glass, and, particularly in the case of a windscreen, its location in relation to the driver's line of vision.
  • Analysis of images taken at different times can indicate whether a defect is changing, a crack, for example, growing.
  • the analysis may assess a windscreen defect against one or more of the following criteria:
  • the driver's line of vision may be taken to be an area 300mm wide extending up the screen centred on the steering wheel. If the answer to any of these questions is 'y es ⁇ then the defect cannot be safely repaired.
  • the app may include such functionality as will carry out the necessary image processing and assessment against the criteria and, on a determination that the defect is repairable, or that the glass should be replaced, communicate the same, with details of the vehicle, its location (which may be GPS -based), its insurer an any other relevant information, to a repair/replace service to initiate a call-out.
  • a bodywork defect can be assessed for its size, its location, whether paintwork is scratched, and whether metalwork is dented, torn or holed.
  • a wheel scuff or scratch may be assessed primarily for size, a prime criterion for assessment of repair cost.
  • Assessment need not be entirely done by image processing and measurement - some user input may be called upon. For example, in assessing the length of a scuff or scratch on bodywork or an alloy wheel, the user may be asked to run a finger along the image displayed on the device touch screen. Software can then more easily compute the length of the feature knowing the scale of the image.
  • Figure 1 is a diagrammatic representation of apparatus used in the analysis
  • Figure 2 is a view of a vehicle windscreen with chip defects
  • Figure 3 is a view of a windscreen with a growing crack
  • Figure 4 is a view of a smartphone screen used in assessing an alloy wheel scuff.
  • the drawings illustrate apparatus used in a method of imaging and analysing a vehicle windscreen defect 11 comprising analysing a digital image of the defect 11 on a portable device 12 using software contained in the device 12 by virtue of a downloaded app.
  • the device 12 comprises a smartphone, which already has all the imaging, storage and processing power needed, and has the advantage that many people, and particularly many drivers and vehicle owners already possess one and need not purchase specialised equipment.
  • the smartphone 12 is used to form the image using a built-in camera, of which there are usually two, or may be used in conjunction with a near field communication equipped digital camera 13, which can form the image and transfer it to the smartphone 12.
  • the smartphone may first image an object of known size, such as a coin, placed next to the defect.
  • an object of known size such as a coin
  • the user will position the camera so that the wheel image just fits in a guide circle drawn on the screen by the app, and the user will then be prompted to enter, via on-screen keyboard or keypad, the tyre size, from which the app software can scale the wheel image.
  • the smartphone 12 comprises data processing facility, by virtue of an app that carries out the analysis, but it may have just rudimentary functionality in capturing the image, transferring the image via the internet 14 to an external processor 15 for analysis and recording, and such external processor 15 will copy the result of such analysis to the smartphone 11.
  • the image analysis will, in the case of a chip 21 ( Figure 2), first determine the diameter d of the smallest circle that can be placed around the chip to completely contain it. If d is larger than 28mm, the software will decide that the chip cannot be repaired. If d is 28mm or less, the image analysis will measure the distance between the circle and the edge of the screen. If this distance is less than 30mm, the software will decide that the chip cannot be repaired.
  • the image analysis will determine if the chip 21 is within an area A 300mm wide extending up the screen centred on the steering wheel 22. This may require a second image including the steering wheel 22. If it is, it will then be decided if the circle containing the chip 21 is more than 10mm in diameter. If it is, the software will decide that the chip cannot be repaired.
  • the image analysis may automatically switch to 'crack' mode, or the driver can select 'crack' from a crack or chip menu, and image the crack at a point ti in time.
  • a second, later image, at time i 3 ⁇ 4 can then be compared with the first and the rate of crack propagation determined, which may give a time-before-failure indication.
  • Figure 4 illustrates a simple way of determining defect size.
  • the user is invited to trace the defect 11 image on the smartphone touch screen using a finger or a tracer stylus, as indicated by the arrows..
  • Software can readily determine the on-screen length over which the finger or stylus travels and scale that up.
  • the smartphone may then be instructed to call a local repair or replace facility and pass on its findings. Local repair facilities can be found by a GPS-inspired database search. A call out or a visit can then be arranged either by phone or text exchange. If a windscreen replacement is needed, a service vehicle may be equipped with the correct screen, as can be determined from vehicle details transmitted along with location, insurer details and any other relevant information.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Geometry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Surface Treatment Of Glass (AREA)
  • Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)

Abstract

A method of analysing a defect comprising analysing a digital image of the defect on a portable device using software contained in the device or an associated processor by virtue of a downloaded app. The method can be used for glass,for example, windscreen defects, in automobiles, for bodywork defects and for alloy wheel scuffs. The app can send details to a repair facility to get a quote for repair.

Description

Examining Defects
This invention relates to examining defects, particularly defects that can be repaired, such as may appear on motor vehicles, and including windscreen chips, bodywork damage and scuffs to alloy wheels.
Windscreen defects in automobiles are usually initiated by a road chipping impact.
Defects are of various types and occur in different locations on the windscreen. The type and location are important in determining whether, and in what way, the defect will develop, and this, in turn, is important in deciding whether and how urgently to seek remedial treatment, and even whether the vehicle is safe to drive. Defects can also occur in side and rear windows.
Some defects are treatable, either to disguise them completely, and at least to stop them developing. Others are not, and require the glass to be replaced. Experts, providing repair and replacement services, can prescribe and carry out appropriate treatment usually by visual inspection. Vehicle owners or drives are not usually able to do this.
Bodywork defects can comprise dents of different sizes and severity that can be repaired by knocking out and perhaps painting, or scratches. Alloy wheels suffer scuffs and scratches that can also be repaired.
The present invention provides means to make an assessment of a defect, and to initiate a repair or replacement process.
The invention comprises broadly a method of analysing a defect comprising analysing a digital image of the defect on a portable device using software contained in the device or in an associated processor by virtue of a downloaded app.
The device may comprise a smartphone, which already has all the imaging, storage and processing power needed, and has the advantage that many people, and particularly many drivers and vehicle owners already possess one and need not purchase specialised equipment.
A smartphone may be used to form the image using a built-in camera, of which there are usually two, or may be used in conjunction with a near field communication equipped digital camera, which can form the image and transfer it to the smartphone.
The smartphone may comprise data processing facility, by virtue of the app, that carries out the analysis or it may transfer the image to an external processor equipped with an app for analysis and recording, and such external processor may copy the result of such analysis to the smartphone. The image analysis may involve determination of features of the defect, such as, in the case of a glass defect, its size, shape and depth, its proximity to the edge of the glass, and, particularly in the case of a windscreen, its location in relation to the driver's line of vision.
Analysis of images taken at different times can indicate whether a defect is changing, a crack, for example, growing.
The analysis may assess a windscreen defect against one or more of the following criteria:
• will the defect not fit entirely within a circle of diameter 28mm?
• is the edge of the circle less than 30mm from the edge of the screen?
• does the defect fit entirely within a circle of diameter 10mm and in the driver's line of vision?
The driver's line of vision may be taken to be an area 300mm wide extending up the screen centred on the steering wheel. If the answer to any of these questions is 'yes\ then the defect cannot be safely repaired.
The app may include such functionality as will carry out the necessary image processing and assessment against the criteria and, on a determination that the defect is repairable, or that the glass should be replaced, communicate the same, with details of the vehicle, its location (which may be GPS -based), its insurer an any other relevant information, to a repair/replace service to initiate a call-out.
A bodywork defect can be assessed for its size, its location, whether paintwork is scratched, and whether metalwork is dented, torn or holed. A wheel scuff or scratch may be assessed primarily for size, a prime criterion for assessment of repair cost.
Assessment need not be entirely done by image processing and measurement - some user input may be called upon. For example, in assessing the length of a scuff or scratch on bodywork or an alloy wheel, the user may be asked to run a finger along the image displayed on the device touch screen. Software can then more easily compute the length of the feature knowing the scale of the image.
Methods of analysing defects according to the invention and systems for dealing with the same based on a smartphone app according to the invention will now be described with reference to the accompanying drawings, in which:
Figure 1 is a diagrammatic representation of apparatus used in the analysis;
Figure 2 is a view of a vehicle windscreen with chip defects;
Figure 3 is a view of a windscreen with a growing crack; Figure 4 is a view of a smartphone screen used in assessing an alloy wheel scuff.
The drawings illustrate apparatus used in a method of imaging and analysing a vehicle windscreen defect 11 comprising analysing a digital image of the defect 11 on a portable device 12 using software contained in the device 12 by virtue of a downloaded app.
The device 12 comprises a smartphone, which already has all the imaging, storage and processing power needed, and has the advantage that many people, and particularly many drivers and vehicle owners already possess one and need not purchase specialised equipment.
The smartphone 12 is used to form the image using a built-in camera, of which there are usually two, or may be used in conjunction with a near field communication equipped digital camera 13, which can form the image and transfer it to the smartphone 12.
To facilitate sizing the defect, the smartphone may first image an object of known size, such as a coin, placed next to the defect. For sizing an alloy wheel, as seen in Figure 4, the user will position the camera so that the wheel image just fits in a guide circle drawn on the screen by the app, and the user will then be prompted to enter, via on-screen keyboard or keypad, the tyre size, from which the app software can scale the wheel image.
The smartphone 12 comprises data processing facility, by virtue of an app that carries out the analysis, but it may have just rudimentary functionality in capturing the image, transferring the image via the internet 14 to an external processor 15 for analysis and recording, and such external processor 15 will copy the result of such analysis to the smartphone 11. The image analysis will, in the case of a chip 21 (Figure 2), first determine the diameter d of the smallest circle that can be placed around the chip to completely contain it. If d is larger than 28mm, the software will decide that the chip cannot be repaired. If d is 28mm or less, the image analysis will measure the distance between the circle and the edge of the screen. If this distance is less than 30mm, the software will decide that the chip cannot be repaired.
Finally, the image analysis will determine if the chip 21 is within an area A 300mm wide extending up the screen centred on the steering wheel 22. This may require a second image including the steering wheel 22. If it is, it will then be decided if the circle containing the chip 21 is more than 10mm in diameter. If it is, the software will decide that the chip cannot be repaired.
If the defect is a crack 23 (Figure 3), rather than a chip, the image analysis may automatically switch to 'crack' mode, or the driver can select 'crack' from a crack or chip menu, and image the crack at a point ti in time. A second, later image, at time i¾ can then be compared with the first and the rate of crack propagation determined, which may give a time-before-failure indication.
Figure 4 illustrates a simple way of determining defect size. Instead of image analysis software calculating defect dimensions, the user is invited to trace the defect 11 image on the smartphone touch screen using a finger or a tracer stylus, as indicated by the arrows.. Software can readily determine the on-screen length over which the finger or stylus travels and scale that up. Once image analysis and reparability determination is complete, the smartphone may then be instructed to call a local repair or replace facility and pass on its findings. Local repair facilities can be found by a GPS-inspired database search. A call out or a visit can then be arranged either by phone or text exchange. If a windscreen replacement is needed, a service vehicle may be equipped with the correct screen, as can be determined from vehicle details transmitted along with location, insurer details and any other relevant information.

Claims

Claims:
1 A method of analysing a defect comprising analysing a digital image of the defect on a portable device using software contained in the device or in an associated processor by virtue of a downloaded app.
2 A method according to claim 1 , in which the device comprises a smartphone.
3 A method according to claim 2, in which the smartphone is used to form the image using a built-in camera.
4 A method according to claim 2, in which the smartphone is used in conjunction with a near field communication equipped digital camera, which can form the image and transfer it to the smartphone.
5 A method according to any one of claims 2 to 4, in which the smartphone comprise a data processing facility, by virtue of the app, that carries out the analysis.
6 A method according to any one of claims 2 to 4, in which the smartphone transfers the image to an external processor for analysis and recording, and such external processor copies the result of such analysis to the smartphone.
7 A method according to any one of claims 1 to 6, in which image analysis involves determination of features of the defect, such as its size, shape and depth.
8 A method according to claim 7, adapted for a glass defect, in which image analysis involves assessment of the defect's proximity to the edge of the glass, and, particularly in the case of a windscreen, its location in relation to the driver's line of vision.
9 A method according to claim 8, in which analysis of images taken at different times can indicate whether a defect is changing, a crack, for example, growing.
10 A method according to claim 8 or claim 9, in which the analysis assesses a windscreen defect against one or more of the following criteria:
• will the defect not fit entirely within a circle of diameter 28mm?
• is the edge of the circle less than 30mm from the edge of the screen?
• does the defect fit entirely within a circle of diameter 10mm and in the driver's line of vision?
11 A method according to claim 10, in which the app includes such functionality as will carry out the necessary image processing and assessment against the criteria and, on a determination that the defect is repairable, or that the glass should be replaced, communicate the same, with details of the vehicle, its location (which may be GPS- based), its insurer an any other relevant information, to a repair/replace service to initiate a call-out.
12 A method according to any one of claims 1 to 11, in which the size of a defect is assessed from a smartphone touch screen image by tracing the defect image with a finger or a tracer stylus.
PCT/GB2015/051454 2014-05-16 2015-05-18 Examining defects Ceased WO2015173594A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CA2949202A CA2949202A1 (en) 2014-05-16 2015-05-18 Examining defects
US15/311,394 US10402957B2 (en) 2014-05-16 2015-05-18 Examining defects
EP15741239.6A EP3143590A2 (en) 2014-05-16 2015-05-18 Examining defects

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB1408757.1A GB2526270B (en) 2014-05-16 2014-05-16 Examining vehicle glass defects
GB1408757.1 2014-05-16

Publications (2)

Publication Number Publication Date
WO2015173594A2 true WO2015173594A2 (en) 2015-11-19
WO2015173594A3 WO2015173594A3 (en) 2016-07-21

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PCT/GB2015/051454 Ceased WO2015173594A2 (en) 2014-05-16 2015-05-18 Examining defects

Country Status (5)

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US (1) US10402957B2 (en)
EP (1) EP3143590A2 (en)
CA (1) CA2949202A1 (en)
GB (1) GB2526270B (en)
WO (1) WO2015173594A2 (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017194950A1 (en) * 2016-05-13 2017-11-16 Belron International Ltd Break analysis apparatus and method
CN107907546A (en) * 2017-12-06 2018-04-13 华南理工大学 A kind of defects of vision detection method and system based on intelligent mobile terminal
GB2555604A (en) * 2016-11-03 2018-05-09 Pre Chasm Res Ltd Vehicle inspection methods and apparatus
WO2019015851A1 (en) * 2017-07-19 2019-01-24 Robert Bosch Gmbh METHOD AND DEVICE FOR IDENTIFYING DAMAGE TO VEHICLE WASHERS
WO2020260854A1 (en) * 2019-06-24 2020-12-30 Belron International Limited Analysis of damage to vehicle glazing panels
EP3577446B1 (en) * 2017-02-06 2022-10-05 Belron International Limited Systems and methods for damage detection

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10773557B1 (en) * 2017-05-18 2020-09-15 State Farm Mutual Automobile Insurance Company System and method for using image data to determine tire quality
CN112784626B (en) * 2019-11-04 2022-07-01 广东新星源智能信息科技有限公司 On-site trigger device based on mobile terminal replacement requirements
JP7510512B2 (en) * 2020-09-29 2024-07-03 富士フイルム株式会社 DAMAGE INFORMATION PROCESSING DEVICE, DAMAGE INFORMATION PROCESSING METHOD, AND PROGRAM

Family Cites Families (39)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6470303B2 (en) * 1998-02-04 2002-10-22 Injury Sciences Llc System and method for acquiring and quantifying vehicular damage information
CA2252308C (en) * 1998-10-30 2005-01-04 Image Processing Systems, Inc. Glass inspection system
US6501546B1 (en) * 2000-05-05 2002-12-31 Photon Dynamics Canada Inc. Inspection system for edges of glass
JP2002133117A (en) * 2000-10-19 2002-05-10 Hirofumi Kawahara Automobile insurance system, automobile insurance center and automobile
US20020055861A1 (en) * 2000-11-08 2002-05-09 King Daniel A. Claiming system and method
US7020580B2 (en) * 2002-07-12 2006-03-28 Ford Motor Company Method and system to facilitate reporting results of a defect inspection
AU2003246060B1 (en) * 2003-09-12 2004-05-06 Aconex Ltd Mobile report capture
US7511807B2 (en) * 2003-12-30 2009-03-31 Agency For Science, Technology And Research Method and apparatus for detection of inclusion in glass
IT1337796B1 (en) * 2004-05-11 2007-02-20 Fausto Siri PROCEDURE FOR RECOGNITION, ANALYSIS AND EVALUATION OF DEFORMATIONS IN PARTICULAR VEHICLES
GB2415776B (en) * 2004-06-28 2009-01-28 Carglass Luxembourg Sarl Zug Investigation of vehicle glazing panels
US7487018B2 (en) * 2004-08-04 2009-02-03 Verifacts Automotive, Llc Data management systems for collision repair coaching
US7650028B1 (en) * 2004-10-26 2010-01-19 Sandia Corporation Vicinal light inspection of translucent materials
US20060132291A1 (en) * 2004-11-17 2006-06-22 Dourney Charles Jr Automated vehicle check-in inspection method and system with digital image archiving
US7706936B2 (en) * 2005-08-24 2010-04-27 Snap-On Incorporated Method and system for adaptively modifying diagnostic vehicle information
CN1838180A (en) * 2006-02-28 2006-09-27 韩彦龙 Motor vehicle collision recording device
US8230362B2 (en) * 2006-05-31 2012-07-24 Manheim Investments, Inc. Computer-assisted and/or enabled systems, methods, techniques, services and user interfaces for conducting motor vehicle and other inspections
US9189960B2 (en) * 2006-05-31 2015-11-17 Manheim Investments, Inc. Computer-based technology for aiding the repair of motor vehicles
US8239220B2 (en) * 2006-06-08 2012-08-07 Injury Sciences Llc Method and apparatus for obtaining photogrammetric data to estimate impact severity
US20090138290A1 (en) * 2006-09-26 2009-05-28 Holden Johnny L Insurance adjustment through digital imaging system and method
US20080235040A1 (en) * 2007-03-23 2008-09-25 Mark Ratliff Gps-based activity management
US7697054B2 (en) * 2007-03-29 2010-04-13 Hewlett-Packard Development Company, L.P. Image Manipulator for a camera
US7697132B2 (en) * 2007-05-02 2010-04-13 Emhart Glass S.A. Machine for inspecting glass containers
KR100868884B1 (en) * 2007-06-20 2008-11-14 삼성코닝정밀유리 주식회사 Glass Substrate Glass Defect Information System and Classification Method
US7995798B2 (en) * 2007-10-15 2011-08-09 Given Imaging Ltd. Device, system and method for estimating the size of an object in a body lumen
US9477978B1 (en) * 2008-04-04 2016-10-25 United Services Automobile Association Systems and methods for a virtual car advisor
US8019629B1 (en) * 2008-04-07 2011-09-13 United Services Automobile Association (Usaa) Systems and methods for automobile accident claims initiation
FR2936605B1 (en) * 2008-10-01 2014-10-31 Saint Gobain DEVICE FOR ANALYZING THE SURFACE OF A SUBSTRATE
US8730183B2 (en) * 2009-09-03 2014-05-20 Obscura Digital Large scale multi-user, multi-touch system
CN103857567B (en) * 2011-06-17 2016-06-15 罗伯特·博世有限公司 The method of the oriented structure on the window glass identifying vehicle and equipment
US20140241589A1 (en) * 2011-06-17 2014-08-28 Daniel Weber Method and apparatus for the detection of visibility impairment of a pane
US10099614B2 (en) * 2011-11-28 2018-10-16 Magna Electronics Inc. Vision system for vehicle
US10387960B2 (en) * 2012-05-24 2019-08-20 State Farm Mutual Automobile Insurance Company System and method for real-time accident documentation and claim submission
US8510196B1 (en) * 2012-08-16 2013-08-13 Allstate Insurance Company Feedback loop in mobile damage assessment and claims processing
US9002095B2 (en) * 2012-12-20 2015-04-07 Wal-Mart Stores, Inc. Faulty cart wheel detection
US20140213936A1 (en) * 2013-01-29 2014-07-31 Monolysis Medical, LLC Devices, systems, and methods for tissue measurement
US9654679B1 (en) * 2013-03-13 2017-05-16 Liberty Mutual Insurance Company Imagery quantification of damage
US9723251B2 (en) * 2013-04-23 2017-08-01 Jaacob I. SLOTKY Technique for image acquisition and management
US9407874B2 (en) * 2013-04-30 2016-08-02 Esurance Insurance Services, Inc. Remote claims adjuster
US11134848B2 (en) * 2016-04-25 2021-10-05 Samsung Electronics Co., Ltd. Mobile hyperspectral camera system and human skin monitoring using a mobile hyperspectral camera system

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11385189B2 (en) 2016-05-13 2022-07-12 Belron International Limited Break analysis apparatus and method
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US11692949B2 (en) 2016-05-13 2023-07-04 Belron International Limited Break analysis apparatus and method
CN109155062A (en) * 2016-05-13 2019-01-04 贝尔隆国际有限公司 Crack analysis device and method
TWI647443B (en) * 2016-05-13 2019-01-11 貝爾隆國際有限公司 Crack analysis equipment and method
AU2022201019B2 (en) * 2016-05-13 2023-04-13 Belron International Ltd Break analysis apparatus and method
WO2017194950A1 (en) * 2016-05-13 2017-11-16 Belron International Ltd Break analysis apparatus and method
GB2565500A (en) * 2016-05-13 2019-02-13 Belron Int Ltd Break analysis apparatus and method
RU2766420C2 (en) * 2016-05-13 2022-03-15 Белрон Интернешнл Лтд Device and method for damage analysis
US10852249B2 (en) 2016-05-13 2020-12-01 Belron International Limited Break analysis apparatus and method
AU2017263145B2 (en) * 2016-05-13 2021-12-23 Belron International Ltd Break analysis apparatus and method
GB2555604A (en) * 2016-11-03 2018-05-09 Pre Chasm Res Ltd Vehicle inspection methods and apparatus
EP3577446B1 (en) * 2017-02-06 2022-10-05 Belron International Limited Systems and methods for damage detection
WO2019015851A1 (en) * 2017-07-19 2019-01-24 Robert Bosch Gmbh METHOD AND DEVICE FOR IDENTIFYING DAMAGE TO VEHICLE WASHERS
CN107907546A (en) * 2017-12-06 2018-04-13 华南理工大学 A kind of defects of vision detection method and system based on intelligent mobile terminal
WO2020260854A1 (en) * 2019-06-24 2020-12-30 Belron International Limited Analysis of damage to vehicle glazing panels

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GB201408757D0 (en) 2014-07-02
GB2526270B (en) 2018-08-22

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