-
41.发明授权公开(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.
-
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.
-
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.
-
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.
-
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.
-
Patent Agency Ranking
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.
-
公开(公告)号：US20190156531A1
公开(公告)日：2019-05-23
申请号：US16249424
申请日：2019-01-16
Applicant: RedZone Robotics, Inc.
Inventor： SUBRAMANIAN VALLAPUZHA , ERIC C. CLOSE
CPC classification number: G06T11/206 , B23K9/0956 , B23K9/1274 , F16L55/32 , G01B11/24 , G01N21/954 , G01N2021/9544 , G01N2021/9548 , G06Q10/06 , G06Q10/10 , G06Q10/30 , G06Q30/0611 , G06T3/0037 , G06T7/0004 , G06T2207/10028 , H04N7/183
Abstract: An embodiment provides for storing, in a server, pipe segment data, e.g., pipe scan data derived from a pipe inspection robot that traversed through an interior of the segment of pipe. The pipe scan data may include three-dimensional (3D) and two-dimensional (2D) image data of the interior of the segment of pipe, where the 2D image data includes a flat graph formed from the 3D image data. In one example, infrastructure summary data is stored in the server, including a level of corrosion and a level of sediment buildup determined based on the pipe scan data. An infrastructure project summary report is based on the infrastructure summary data, and after receiving a request from a client device, the pipe segment data and the infrastructure project summary report are transmitted to the client device.
-
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.
-
公开(公告)号：US20180085798A1
公开(公告)日：2018-03-29
申请号：US15278974
申请日：2016-09-28
Applicant: RedZone Robotics, Inc.
Inventor： Justin Starr , Galin Konakchiev , Jordan Himes , Charles Pulaski
CPC classification number: B08B9/049 , F16L55/32 , F16L2101/12 , F16L2101/30 , G01S15/88 , Y02A90/36 , Y10S901/44
Abstract: One embodiment provides an apparatus, including: a pipe inspection robot that traverses a pipe; a fetter comprising a water pump; and an intake hose that couples the pump of the jetter to a local water source proximate to the pipe inspection robot. Other aspects are described and claimed.
-
公开(公告)号：US09739792B2
公开(公告)日：2017-08-22
申请号：US13967057
申请日：2013-08-14
Applicant: RedZone Robotics, Inc.
Inventor： Christopher C. Atwood , Richard P. Juchniewicz , Eric Kratzer , Adam Slifko , Philip Jake Johns
CPC classification number: G01N35/00 , B62D55/12 , B62D55/244 , E03F7/12 , G01M99/00 , Y10S901/44
Abstract: A device is described that includes a sensor portion and a chassis portion. The sensor portion includes a plurality of sensing devices. The chassis portion is connected to the sensor portion and includes a first track and a second track. The second track is positioned adjacent the first track. The first and second tracks cooperate to substantially cover an entire width of the chassis portion.
-
-
-
-
-
-
-
-
-
Search Results
82
records
(took 0.029 seconds)
