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公开(公告)号:US20170169308A1
公开(公告)日:2017-06-15
申请号:US14964277
申请日:2015-12-09
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: Mircea Capota , Scott M. Alazraki
CPC classification number: G06K9/50 , G06K9/00255 , G06K9/00771 , G06K9/3233 , G06K9/623
Abstract: Data analytics engines and methods of incident scene focus area determination. The method includes receiving a plurality of directional inputs from a plurality of sources. The method also includes assigning weighting factors to the plurality of directional inputs. The method further includes generating weighted position vectors for each of the plurality of sources based on the plurality of directional inputs and the weighting factors. The method also includes determining when the weighted position vectors for at least two sources of the plurality of sources intersect. The method further includes determining an intersection location and a confidence level based on the weighted position vectors of the at least two sources. The method also includes identifying an incident scene focus area based on the intersection location and the confidence level.
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公开(公告)号:US09818042B2
公开(公告)日:2017-11-14
申请号:US14964277
申请日:2015-12-09
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: Mircea Capota , Scott M. Alazraki
CPC classification number: G06K9/50 , G06K9/00255 , G06K9/00771 , G06K9/3233 , G06K9/623
Abstract: Data analytics engines and methods of incident scene focus area determination. The method includes receiving a plurality of directional inputs from a plurality of sources. The method also includes assigning weighting factors to the plurality of directional inputs. The method further includes generating weighted position vectors for each of the plurality of sources based on the plurality of directional inputs and the weighting factors. The method also includes determining when the weighted position vectors for at least two sources of the plurality of sources intersect. The method further includes determining an intersection location and a confidence level based on the weighted position vectors of the at least two sources. The method also includes identifying an incident scene focus area based on the intersection location and the confidence level.
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