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公开(公告)号:US20190137644A1
公开(公告)日:2019-05-09
申请号:US15990814
申请日:2018-05-28
Applicant: SeeScan, Inc.
Inventor: Mark S. Olsson , Dawn E. Shaffer , Ray Merewether , Michael J. Martin , David A. Cox
Abstract: A buried object locator which may include at least one antenna array including three orthogonal antennas, each antenna sharing a common center point, is disclosed. An electronic circuit may be connected to the array and used to determine location information of the buried objects by measuring signal strength and magnetic field angular data in three dimensions.
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公开(公告)号:US20180246584A1
公开(公告)日:2018-08-30
申请号:US15499811
申请日:2017-04-27
Applicant: SeeScan, Inc.
Inventor: Mark S. Olsson , Michael J. Martin , Ray Merewether , Loni Canepa , Austin Rutledge , Alexander L. Warren , Amos H. Jessup , George L. Jemmott
IPC: G06F3/0346 , G06F3/0338
Abstract: User interface devices using magnetic sensing to provide output signals associated with motion and/or deformation of an actuator element of the interface devices are described. The output signals may be provided to an electronic computing system to provide commands, controls, and/or other data or information. In one embodiment, a user interface device may include a plurality of permanent magnets and a plurality of multi-axis magnetic sensors to generate motion and/or deformation signals to be provided to a processing element to generate the output signals.
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73.
公开(公告)号:US20170363764A1
公开(公告)日:2017-12-21
申请号:US15626399
申请日:2017-06-19
Applicant: SeeScan, Inc.
Inventor: Sequoyah Aldridge , Mark S. Olsson , Michael J. Martin , Youngin Oh
Abstract: The present disclosure relates to systems and methods for uniquely identifying buried utilities in a multi-utility region. The system and methods may include sensing magnetic fields upon moving a magnetic field sensing locating device over a multi-utility region comprising a plurality of buried utilities. The sensed magnetic fields may be used to identify a plurality of location data points each indicative of location information pertaining to one or more buried utilities. Based on these location data points, a plurality of clusters may be generated where each cluster may include a set of location data points sharing common characteristics. The generated clusters may exhibit one or more patterns which may be identified and subsequently utilized for classifying the clusters to uniquely identify the buried utilities.
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