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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:US11029257B2
公开(公告)日:2021-06-08
申请号:US16353034
申请日:2019-03-14
Applicant: RedZone Robotics, Inc.
Inventor: Todd Kueny , Justin Starr , Foster J Salotti
IPC: G01N21/88 , G01N21/954 , G01S17/89
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.
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公开(公告)号:US12118703B2
公开(公告)日:2024-10-15
申请号:US17365773
申请日:2021-07-01
Applicant: RedZone Robotics, Inc.
Inventor: Andrew Harmen , Gabe Detter , Mohamed Morsy , Andrew Lawniczak , Galin Konalchiev , Matthew Crowell , Jack Buffington , Mohsen Pashna , Richard Rigby , Jason Mizgorski , Foster J Salotti , Jjianan Lin , Valerie Walch
CPC classification number: G06T7/0004 , G06T7/344 , G06T7/55 , G06T17/20 , G06T2207/10016
Abstract: One aspect provides a modular inspection robot for inspecting vertical shafts, chambers or tunnels. An embodiment provides related methods and products. One method includes: capturing, using a plurality of video cameras associated with an infrastructure inspection unit, two or more videos of infrastructure; accessing, using one or more processors, image metadata indicating a mesh of connected vertices based on the two or more videos; selecting, using the one or more processors, image data of frames of the two or more videos for inclusion in an output based on the mesh; and outputting, using the one or more processors, a photo-realistic image of the infrastructure comprising the image data selected. Other examples are described and claimed.
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公开(公告)号:US11192262B2
公开(公告)日:2021-12-07
申请号:US16145362
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 , Christopher White
Abstract: An embodiment provides a method of controlling a pipe inspection robot, including: detecting, from a headset, brain activity of a user wearing the headset; binning the brain activity of the user into one of a plurality of different bins; the binning comprising accumulating brain activity values for a period of time to establish a brain activity value for the period of time; determining, using the brain activity value, if a threshold level of brain activity has accumulated over the period of time; after the threshold level has been accumulated, identifying a control action to be sent to the pipe inspection robot based on the brain activity value; and controlling the movement of the pipe inspection robot using a control signal associated with the control action. 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:US20230123736A1
公开(公告)日:2023-04-20
申请号:US17965743
申请日:2022-10-13
Applicant: RedZone Robotics, Inc.
Inventor: Tim Renton , Foster J Salotti , Jason Mizgorski , Anthony van Iersel , Cody Steliga , Bill Derkson , Lynn Palmieri , Dimitrije Balanovic
IPC: G06F16/11
Abstract: In one example, a method includes combining multi-sensor inspection (MIS) data from sensors of inspection platform(s); using respective metadata to select one or more tools for translating the MSI data into a common file format; applying the one or more tools to the first and second MSI data to obtain respective common data formatted files; and providing, via a cloud computing device, access to the common data formatted files. Other implementations may be 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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8.
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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