PROCESSING AUDIO INFORMATION TO IDENTIFY PERSONS OF INTEREST

    公开(公告)号:US20240233734A9

    公开(公告)日:2024-07-11

    申请号:US18048751

    申请日:2022-10-21

    CPC classification number: G10L17/22 G06Q10/10 G06Q50/265

    Abstract: Methods and systems for processing audio information to identify persons of interest in regard to a public-safety incident. An example method includes receiving human-generated narrative statements as audio and converting the narrative statements into corresponding digital texts. The method further includes determining incriminating scores for each of the narrative statements by identifying, in the digital texts, incident information classified as not being publicly known. The method further includes determining a cumulative score for an individual based on the incriminating scores tagged to the individual, making a determination of whether the individual is a person of interest based on a comparison of the cumulative score with a fixed threshold, and performing at least one automated responsive action based on the determination.

    MONITORING SYSTEM AND METHOD FOR IDENTIFYING AN OBJECT OF INTEREST AFTER THE OBJECT OF INTEREST HAS UNDERGONE A CHANGE IN APPEARANCE

    公开(公告)号:US20220292695A1

    公开(公告)日:2022-09-15

    申请号:US17196542

    申请日:2021-03-09

    Abstract: Monitoring system and method for identifying object of interest after the object of interest has undergone a change in appearance. The method includes detecting an appearance of a first object of interest in a first zone and determining whether the first object of interest has appeared in a second zone adjacent the first zone within a predetermined time. When the first object of interest has not appeared in the second zone within the predetermined time, the method includes adding the first object of interest to a disappearance database and detecting an unexplained appearance of a second object of interest in a third zone of the plurality of zones. When an unexplained appearance of the second object of interest is detected, the method includes adding the second object of interest to a suspect database, and generating a notification for a first responder regarding the second object of interest.

    Monitoring system and method for identifying an object of interest after the object of interest has undergone a change in appearance

    公开(公告)号:US11640671B2

    公开(公告)日:2023-05-02

    申请号:US17196542

    申请日:2021-03-09

    Abstract: Monitoring system and method for identifying object of interest after the object of interest has undergone a change in appearance. The method includes detecting an appearance of a first object of interest in a first zone and determining whether the first object of interest has appeared in a second zone adjacent the first zone within a predetermined time. When the first object of interest has not appeared in the second zone within the predetermined time, the method includes adding the first object of interest to a disappearance database and detecting an unexplained appearance of a second object of interest in a third zone of the plurality of zones. When an unexplained appearance of the second object of interest is detected, the method includes adding the second object of interest to a suspect database, and generating a notification for a first responder regarding the second object of interest.

    PROCESSING AUDIO INFORMATION TO IDENTIFY PERSONS OF INTEREST

    公开(公告)号:US20240135935A1

    公开(公告)日:2024-04-25

    申请号:US18048751

    申请日:2022-10-20

    CPC classification number: G10L17/22 G06Q10/10 G06Q50/265

    Abstract: Methods and systems for processing audio information to identify persons of interest in regard to a public-safety incident. An example method includes receiving human-generated narrative statements as audio and converting the narrative statements into corresponding digital texts. The method further includes determining incriminating scores for each of the narrative statements by identifying, in the digital texts, incident information classified as not being publicly known. The method further includes determining a cumulative score for an individual based on the incriminating scores tagged to the individual, making a determination of whether the individual is a person of interest based on a comparison of the cumulative score with a fixed threshold, and performing at least one automated responsive action based on the determination.

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