UPDATING METADATA ASSOCIATED WITH HISTORIC DATA

    公开(公告)号:US20220276997A1

    公开(公告)日:2022-09-01

    申请号:US17189160

    申请日:2021-03-01

    Abstract: A system for updating metadata associated with historic data. The system includes an electronic computing device. The electronic computing device is configured to receive historic data and metadata associated with the historic data and, using a low capacity machine learning model, analyze the metadata associated with the historic data to determine a probability that the historic data includes the object of interest. The electronic computing device is also configured to compare the probability to a predetermined threshold. The electronic computing device is further configured to use a high capacity machine learning model to analyze the historic data to determine whether the historic data includes the object of interest and update the metadata of the historic data based on whether the historic data includes the object of interest to generate updated metadata, when the probability is greater than or equal to the predetermined threshold.

    Methods and apparatus for automated review of public safety incident reports

    公开(公告)号:US11481421B2

    公开(公告)日:2022-10-25

    申请号:US16719275

    申请日:2019-12-18

    Abstract: A system for automated review of public safety incident reports include receiving structured incident data for an incident report from a submitting public safety officer including incident type information for the incident, receiving unstructured incident narrative text describing the incident, accessing an unstructured incident narrative feedback checking model applicable to incidents of the incident type, applying the model to the narrative text in light of supplemental information in the structured incident data or obtained from another source, identifying, by application of the model, matters in the narrative text likely to be flagged for correction by a human reviewer during a subsequent review, and providing feedback notifying the officer of the identified matters. The model may be retrained based on feedback or corrections provided by the officer in response to the notification of the identified matters or in response to requests for correction subsequently received from human reviewers.

Patent Agency Ranking