ANONYMOUS SCREENING WITH CHAIN OF CUSTODY SENSOR INFORMATION

    公开(公告)号:US20230186216A1

    公开(公告)日:2023-06-15

    申请号:US18106760

    申请日:2023-02-07

    CPC classification number: G06Q10/0635 G06Q50/265

    Abstract: A method includes receiving distributed sensing information on one or more characteristics associated with a subject from distributed sensors distributed between a starting location spaced from a resolution location and the resolution location. If the subject is sensed by the plurality of distributed sensors, in combination without any break in chain of custody (“COC”), the method does not adjust a reliability of the distributed sensing information caused by any break in COC. If there are one or more time gaps in the COC, the method determines one or more COC factors based on the time gaps and adjusts the reliability of the distributed sensing information based on the one or more COC factors. The method determines a trust score of the subject to assess security concern of the subject based on the distributed sensing information and the reliability thereof, and resolves the security concern based on the trust score.

    AUTOMATIC THREAT RECOGNITION FOR HD AIT

    公开(公告)号:US20230127343A1

    公开(公告)日:2023-04-27

    申请号:US17350926

    申请日:2021-06-17

    Abstract: Described herein are examples of evaluating electromagnetic energy reflection data of security scans. In embodiments, a method to evaluate electromagnetic energy reflection data determines whether electronic information of a security scan contains an anomaly, and identifies an anomaly location in the electronic information corresponding to the anomaly. The method determines a subset of the electronic information corresponding to the anomaly location, determines anomaly attributes using the subset of the electronic information, and evaluates the anomaly attributes using a database of reference items by comparing anomaly attributes to respective reference characteristics of reference items or identity information. When a comparison meets the respective match criterion for the given reference item, the method assigns to the anomaly the respective identifier as an anomaly identifier.

    Digital unpacking of CT imagery
    119.
    发明授权

    公开(公告)号:US11580338B2

    公开(公告)日:2023-02-14

    申请号:US17735684

    申请日:2022-05-03

    Inventor: William Hastings

    Abstract: An improvement to automatic classifying of threat level of objects in CT scan images of container content, methods include automatic identification of non-classifiable threat level object images, and displaying on a display of an operator a de-cluttered image, to improve operator efficiency. The de-cluttered image includes, as subject images, the non-classifiable threat level object images. Improvement to resolution of non-classifiable threat objects includes computer-directed prompts for the operator to enter information regarding the subject image and, based on same, identifying the object type. Improvement to automatic classifying of threat levels includes incremental updating the classifying, using the determined object type and the threat level of the object type.

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