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    AUGMENTED REALITY (AR) DISPLAY OF PIPE INSPECTION DATA
    2.
    发明申请
    AUGMENTED REALITY (AR) DISPLAY OF PIPE INSPECTION DATA 审中-公开

    公开(公告)号：WO2019152572A1

    公开(公告)日：2019-08-08

    申请号：PCT/US2019/015933

    申请日：2019-01-31

    Applicant: REDZONE ROBOTICS, INC.

    Inventor： KUENY, Todd ,  STARR, Justin ,  RENTON, Timothy ,  VAN LERSEL, Antony

    IPC: G06F3/01 ,  G06F3/0481 ,  G02B27/01 ,  G06T19/00 ,  G06Q50/06

    Abstract: Described is a method of providing an augmented reality (AR) scene of pipe inspection data, including: obtaining, using a processor, pipe inspection data derived from a pipe inspection robot that traverses through the interior of an underground pipe, the pipe inspection data including one or more sets of condition assessment data relating to an interior of the underground pipe; obtaining, using a processor, real-time visual image data of an above-ground surface; combining, using a processor, the pipe inspection data with the real-time visual image data in an AR scene; and displaying, using a display device, the AR scene. Other examples are described and claimed.

    DEVICES, PRODUCTS AND METHODS FOR PIPE IMAGING AND INSPECTION
    3.
    发明申请
    DEVICES, PRODUCTS AND METHODS FOR PIPE IMAGING AND INSPECTION 审中-公开
    用于管道成像和检查的装置，产品和方法

    公开(公告)号：WO2018064159A1

    公开(公告)日：2018-04-05

    申请号：PCT/US2017/053703

    申请日：2017-09-27

    Applicant: REDZONE ROBOTICS, INC.

    Inventor： STARR, Justin ,  KONAKCHIEV, Galin ,  HIMES, Jordan ,  PULASKI, Charles ,  VAN LERSEL, Anthony ,  RENTON, Timothy ,  LETTMAN, John ,  KUENY, Todd ,  SALOTTI, Foster, J.

    IPC: F16L55/26 ,  F16L101/12 ,  F16L101/30

    CPC classification number: F16L55/32 ,  F16L2101/30

    Abstract: One embodiment provides methods for identifying a target object of a pipe wall, including using a terahertz (THz) beam source of a pipe inspection robot. Another embodiment provides methods of analyzing water quality within a pipe using a pipe inspection robot. Another embodiment provides a mobile jetter in connection with a pipe inspection robot. A further embodiment provides methods of visualizing pipe inspection data, including virtual reality displays. Other aspects are described and claimed.

    Abstract translation: 一个实施例提供了用于识别管壁的目标对象的方法，包括使用管道检查机器人的太赫兹（THz）束源。 另一个实施例提供了使用管道检查机器人分析管道内的水质的方法。 另一个实施例提供结合管道检查机器人的移动式喷射器。 另一个实施例提供了可视化管道检测数据的方法，包括虚拟现实显示。 其他方面进行了描述和要求。

    IMAGE PROCESSING TECHNIQUES FOR MULTI-SENSOR INSPECTION OF PIPE INTERIORS
    4.
    发明申请
    IMAGE PROCESSING TECHNIQUES FOR MULTI-SENSOR INSPECTION OF PIPE INTERIORS 审中-公开

    公开(公告)号：WO2019178311A1

    公开(公告)日：2019-09-19

    申请号：PCT/US2019/022183

    申请日：2019-03-14

    Applicant: REDZONE ROBOTICS, INC.

    Inventor： KUENY, Todd ,  STARR, Justin ,  SALOTTI, Fodter J.

    IPC: G06T1/00 ,  F16L55/28 ,  F16L101/30

    Abstract: An embodiment provides a method, including: obtaining, from a multi-sensor pipe inspection robot that traverses through the interior of a pipe, sensor data, such as structured laser light sensor data and Light Detection and Ranging (LIDAR) sensor data, for the interior of the pipe; identifying a pipe feature using one or more of the sensor data types; selecting an image processing technique based on the pipe feature identified using a stored association between the pipe feature and an image processing technique; and forming an image of the interior of the pipe by implementing the selected image processing technique. Other embodiments are described and claimed.

    PIPE FEATURE IDENTIFICATION USING PIPE INSPECTION DATA ANALYSIS
    5.
    发明申请
    PIPE FEATURE IDENTIFICATION USING PIPE INSPECTION DATA ANALYSIS 审中-公开

    公开(公告)号：WO2019094571A1

    公开(公告)日：2019-05-16

    申请号：PCT/US2018/059795

    申请日：2018-11-08

    Applicant: REDZONE ROBOTICS, INC.

    Inventor： STARR, Justin ,  KONAKCHIEV, Galin ,  SALOTTI, Foster, J. ,  JORDAN, Mark ,  TODD, Kueny ,  ALFORD, Nate ,  TOBIASSEN, Thorin ,  MIZGORSKI, Jason

    IPC: G06T7/33 ,  G01N21/954 ,  F16L55/26 ,  F16L201/30

    Abstract: One aspect provides a method, including: operating a mobile pipe inspection platform to obtain sensor data for the interior of a pipe; analyzing, using a processor, the sensor data using a trained model, where the trained model is trained using a dataset including sensor data of pipe interiors and one or more of: metadata identifying pipe feature locations contained within the sensor data of the dataset and metadata classifying pipe features contained within the sensor data of the dataset; performing one or more of: identifying, using a processor, a pipe feature location within the sensor data; and classifying, using a processor, a pipe feature of the sensor data; and thereafter producing, using a processor, an output including one or more of an indication of the identifying and an indication of the classifying. Other aspects are described and claimed.

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