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公开(公告)号:US11125910B2
公开(公告)日:2021-09-21
申请号:US16184054
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: obtaining sensor data from an unmanned aerial vehicle (UAV); the sensor data comprising data obtained by one or more sensors of the UAV; analyzing, using a processor, the sensor data to detect underground water associated with a pipe; and identifying, with the processor, an underground feature based on the analyzing. Other aspects are described and claimed.
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公开(公告)号:US20190104252A1
公开(公告)日:2019-04-04
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: H04N5/232 , G01N21/88 , G01N21/954 , H04N5/247 , H04N5/225
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: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: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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公开(公告)号:US20190137653A1
公开(公告)日:2019-05-09
申请号:US16184054
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: obtaining sensor data from an unmanned aerial vehicle (UAV); the sensor data comprising data obtained by one or more sensors of the UAV; analyzing, using a processor, the sensor data to detect underground water associated with a pipe; and identifying, with the processor, an underground feature based on the analyzing. Other aspects are described and claimed.
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7.
公开(公告)号:US12039712B2
公开(公告)日:2024-07-16
申请号:US17186957
申请日:2021-02-26
Applicant: RedZone Robotics, Inc.
Inventor: Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
IPC: G06K9/00 , G01M3/38 , G06F18/214 , G06F18/24 , G06F18/40 , G06T7/00 , G06T7/73 , G06V10/764 , G06V10/82 , G01M3/00
CPC classification number: G06T7/0004 , G01M3/38 , G06F18/2148 , G06F18/24 , G06F18/40 , G06T7/73 , G06V10/764 , G06V10/82 , G01M3/005 , G06T2207/20081 , G06T2207/20084 , G06T2207/20092 , G06T2207/30108 , G06T2207/30184 , G06V2201/10
Abstract: One aspect provides operating a mobile pipe inspection platform to obtain two or more types of sensor data for the interior of a pipe; analyzing, using a processor, the two or more types of sensor data using a trained model, where the trained model is trained using a dataset including training sensor data of pipe interiors; the analyzing including performing: identifying, using a processor, a pipe feature location using a first type of the two or more types of sensor data; and classifying, using a processor, an identified pipe feature using a second type of the two or more types of sensor data; and thereafter producing, using a processor, an output including an indication of the classified pipe feature. Other aspects are described and claimed.
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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: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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