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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: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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