CLUSTERING AND ACTIVE LEARNING FOR TEACH-BY-EXAMPLE

    公开(公告)号:US20220301403A1

    公开(公告)日:2022-09-22

    申请号:US17202818

    申请日:2021-03-16

    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.

    CALL MANAGEMENT SYSTEM INCLUDING A CALL TRANSCRIPTION SUPERVISORY MONITORING INTERACTIVE DASHBOARD AT A COMMAND CENTER

    公开(公告)号:US20210314441A1

    公开(公告)日:2021-10-07

    申请号:US17092903

    申请日:2020-11-09

    Abstract: A process is described for a call management system to provide a call transcription supervisory monitoring interactive dashboard of incoming calls at a command center. A plurality of incoming calls are received including a first call reflecting a first incident and a second call reflecting a second incident. Audio from the first and second calls are transcribed. First and second incoming call objects are displayed in a call-by-call portion of the interactive dashboard. The transcripts are cross-referenced with a call-by-call keyword database to identify call-by-call keywords of interest, and the incoming call objects are populated with the call-by-call keywords of interest. An all-call object is displayed in an all-call portion of the interactive dashboard. The transcripts are cross-referenced with an all-call keyword database to identify all-call keywords of interest, and the all-call object is populated with the all-call keywords of interest.

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