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公开(公告)号：US11949989B2
公开(公告)日：2024-04-02
申请号：US16145333
申请日：2018-09-28
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Foster J Salotti , Todd Kueny , Thorin Tobiassen , Nate Alford , Mark Jordan
IPC: H04N23/698 , G01N21/88 , G01N21/954 , G03B37/00 , H04N23/45 , H04N23/51 , H04N23/54 , H04N23/695 , H04N23/90 , F16L55/26 , F16L101/30 , H04N7/10 , H04N23/50
CPC classification number: H04N23/698 , G01N21/8851 , G01N21/954 , G03B37/005 , H04N23/45 , H04N23/51 , H04N23/54 , H04N23/695 , H04N23/90 , F16L55/265 , F16L2101/30 , H04N7/10 , H04N23/555
Abstract: One embodiment provides a system, including: an inspection platform configured to move through underground infrastructure; an imaging device coupled to the inspection platform; the imaging device comprising a camera housing that arranges an array of four or more cameras in a predetermined configuration; the camera housing comprising a plurality of apertures, wherein each aperture houses a respective camera therein with a viewing axis offset about 30 degrees to about 120 degrees from a viewing axis of an adjacent camera within the array; and circuitry that operates the imaging device to capture a plurality of images using the four or more cameras; where the circuitry captures the plurality of images for a composite image of an interior region of the underground infrastructure, and where the region is larger than a single viewing field of any of the four or more cameras. Other embodiments are described and claimed.
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公开(公告)号：US20210255116A1
公开(公告)日：2021-08-19
申请号：US17307041
申请日：2021-05-04
Applicant: RedZone Robotics, Inc.
Inventor： Todd Kueny , Justin Starr , Foster J. Salotti
IPC: G01N21/954 , G01N21/88
Abstract: An embodiment provides a method, including: obtaining, from a multi-sensor pipe inspection robot that traverses through the interior of a pipe, two or more sets of condition assessment data for the interior of the pipe collected during a single pass through the interior of the pipe; the two or more sets of condition assessment data comprising a first data type obtained using a first sensor type and a second data type obtained using a second sensor type; combining, using a processor, two or more image processing techniques to adjust imaging of a pipe feature; and forming, using the processor, an image of the interior of the pipe using the two or more image processing techniques. Other embodiments are described and claimed.
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公开(公告)号：US10976734B2
公开(公告)日：2021-04-13
申请号：US16841642
申请日：2020-04-06
Applicant: RedZone Robotics, Inc.
Inventor： Todd Kueny , Justin Starr , Timothy Renton , Antony van Iersel
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.
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公开(公告)号：US10970833B2
公开(公告)日：2021-04-06
申请号：US16184026
申请日：2018-11-08
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
Abstract: One aspect provides a method, including: displaying, at a display screen, an image of an interior of a pipe, the image being obtained using a pipe inspection robot; accessing, using a processor, calibration data associated with the image; receiving, via an input device, user input marking at least a portion of the image; determining, using a processor, quantitative pipe feature data for at least one feature of the pipe using the marking and the calibration data; and providing, based on the determining, data associated with the at least one feature. Other aspects are described and claimed.
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公开(公告)号：US10937144B2
公开(公告)日：2021-03-02
申请号：US16184073
申请日：2018-11-08
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
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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Patent Agency Ranking
公开(公告)号：US20180088043A1
公开(公告)日：2018-03-29
申请号：US15278879
申请日：2016-09-28
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , John Lettman , Todd Kueny , Foster J. Salotti , Galin Konakchiev
IPC: G01N21/3581 , G01N21/954 , G01N21/94 , B25J5/00 , F16L55/32
CPC classification number: G01N21/3581 , B25J5/005 , F16L2101/30 , G01N21/94 , G01N21/954 , G01N2021/945 , G01N2021/9548 , G01N2201/0216 , G01S13/86 , G01S13/862 , G01S13/867 , G01S13/88 , G01S17/88 , Y10S901/01 , Y10S901/44
Abstract: One embodiment provides a method for identifying a target object of a pipe wall, including: positioning a pipe inspection robot within a pipe; emitting, using a terahertz (THz) beam source of the pipe inspection robot, a laser beam towards a target object; receiving, using a THz receiver of the pipe inspection robot, THz data related to the target object; analyzing, using a processor, the THz data; and determining, based on the analyzing, an identity of the object. Other aspects are described and claimed.
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公开(公告)号：US11719853B2
公开(公告)日：2023-08-08
申请号：US17473949
申请日：2021-09-13
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
CPC classification number: G01V11/002 , B64C39/024 , G01S7/412 , G01S13/885 , G01V8/02 , G05D1/0094 , B64U2101/00 , G01S13/90
Abstract: One aspect provides a method, including: obtaining sensor data from a ground penetrating radar (GPR) unit; analyzing, using a processor, the sensor data to detect a first object and a second object, the second object being associated with the first object based on location; identifying, with the processor, an underground pipe feature based on the analyzing; associating a position of the underground pipe feature with a location in a pipe network; selecting a subset of the pipe network including a pipe segment associated with the position of the underground pipe feature; and providing the subset of the pipe network as displayable data to a display device. Other aspects are described and claimed.
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公开(公告)号：US20210405244A1
公开(公告)日：2021-12-30
申请号：US17473949
申请日：2021-09-13
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Foster J. Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
Abstract: One aspect provides a method, including: obtaining sensor data from a ground penetrating radar (GPR) unit; analyzing, using a processor, the sensor data to detect a first object and a second object, the second object being associated with the first object based on location; identifying, with the processor, an underground pipe feature based on the analyzing; associating a position of the underground pipe feature with a location in a pipe network; selecting a subset of the pipe network including a pipe segment associated with the position of the underground pipe feature; and providing the subset of the pipe network as displayable data to a display device. Other aspects are described and claimed.
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公开(公告)号：US10859554B2
公开(公告)日：2020-12-08
申请号：US16429655
申请日：2019-06-03
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , John Lettman , Todd Kueny , Foster J. Salotti , Galin Konakchiev
IPC: G01N33/18 , F16L55/34 , G01S15/88 , G01S17/88 , F16L101/30
Abstract: One embodiment provides a pipe inspection robot, including: a chassis configured to traverse through an interior of a water or sewer pipe; an extension piece coupled to the chassis; a water quality probe comprising a first end that couples to the extension piece and a sensing end distal thereto; an electric motor configured to reposition the sensing end of the water quality probe with respect to the extension piece; said electric motor acting to rotate the sensing end of the water quality probe to reposition the sensing end proximate to fluid containing water located proximate to a bottom part of the chassis; the sensing end configured to contact the fluid containing water for contact sensing of water quality data. Other aspects are described and claimed.
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公开(公告)号：US20190139215A1
公开(公告)日：2019-05-09
申请号：US16184073
申请日：2018-11-08
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
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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