The Government of the United States of America, as Represented by the Secretary of Homeland Security

John Fortune

Brian Lewis

Michelle Weinberger

Michael Chandarlis

William Garrett

Melissa Conley

An example method to characterize an anomaly includes obtaining information about an item using a first mode scan and detecting whether the item contains an anomaly based on the information. The method further includes determining, responsive to detecting the anomaly, an area of interest of the item corresponding to a location of the anomaly, and determining a strategy including a procedure to obtain other information of the area of interest. The method refines a characterization of the anomaly based on the other information, and compares the characterization of the anomaly to a predetermined criterion. The method iteratively revises the strategy to perform additional available procedures, to further refine the characterization of the anomaly. When the characterization of the anomaly meets the predetermined criterion corresponding to a prohibited item, the method identifies the anomaly as prohibited.

Scanners to characterize and distinguish anomalies based on multiple mode scans and scan time thresholds

Scanners to characterize and distinguish anomalies based on multiple mode scans

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.

Automatic threat recognition for HD AIT

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Clifton, VA, United States of America

John Fortune