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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
发明人： Justin Starr , Galin Konakchiev , Foster J Salotti , Todd Kueny , Thorin Tobiassen , Nate Alford , Mark Jordan , Christopher White
摘要： 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：US11125910B2
公开(公告)日：2021-09-21
申请号：US16184054
申请日：2018-11-08
发明人： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
摘要： 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
发明人： Todd Kueny , Justin Starr , Foster J Salotti
IPC分类号： G01N21/88 , G01N21/954 , G01S17/89
摘要： 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：US10970833B2
公开(公告)日：2021-04-06
申请号：US16184026
申请日：2018-11-08
发明人： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
摘要： 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
发明人： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
摘要： 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：US20230123736A1
公开(公告)日：2023-04-20
申请号：US17965743
申请日：2022-10-13
发明人： Tim Renton , Foster J Salotti , Jason Mizgorski , Anthony van Iersel , Cody Steliga , Bill Derkson , Lynn Palmieri , Dimitrije Balanovic
IPC分类号： G06F16/11
摘要： 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
发明人： Justin Starr , Galin Konakchiev , Foster J Salotti , Mark Jordan , Nate Alford , Thorin Tobiassen , Todd Kueny , Jason Mizgorski
摘要： 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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