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公开(公告)号:US20250112995A1
公开(公告)日:2025-04-03
申请号:US18476734
申请日:2023-09-28
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: DHARANISH KEDARISETTI , EMMY BELTRE , KAVEH MALAKUTI , MARIYA BONDAREVA
IPC: H04M11/04
Abstract: A computer-implemented method of generating a trigger initiating an emergency incident response workflow and a device implementing the method is disclosed. Emergency notification data associated with at least one emergency notification reporting a first incident is received. Based on the emergency notification data, a first sensor data originating from one or more sensors is retrieved, the first sensor data associated with a time and location of the first incident. At least one alarm-escalating trigger is generated. The alarm escalating trigger comprises an alarm-escalating condition and a first-type emergency incident response workflow, the alarm-escalating condition being based on at least a portion of the first sensor data. The alarm-escalating trigger, when implemented by an implementing device, triggers the first-type emergency incident response workflow in response to receiving a second sensor data originating from one or more implementing sensors, the second sensor data meeting the alarm-escalating condition.
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公开(公告)号:US20220301403A1
公开(公告)日:2022-09-22
申请号:US17202818
申请日:2021-03-16
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: ALEKSEY LIPCHIN , PIETRO RUSSO , RON WILSON , KAVEH MALAKUTI
IPC: G08B13/196 , G06K9/62 , G06K9/00
Abstract: Clustering and active learning for teach-by-example, and methods therefor, are disclosed. One method includes clustering, at an at least one electronic processor: a plurality of first detections together as a first cluster based on each detection of the first detections corresponding to respective first image data being identified as potentially showing a first perceptible category of a plurality of perceptible categories; and a plurality of second detections together as a second cluster based on each detection of the second detections corresponding to respective second image data being identified as potentially showing a second perceptible category of the perceptible categories.
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