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

William Hastings

James Gilkeson

Douglas MacIvor

Mara Winn

Sherif Sayed Ahmed

Kevin Robert Gemp

Luke Olsen

Daniel Sims

Elyssa Kaplan

Kevin Dickey

A resource allocation system may comprise a prediction engine configured to generate a prediction record in a database and a history module configured to store a service record for a service. The resource allocation system may comprise a comparison engine configured to compare the prediction against the service records. The resource allocation system may comprise a service improvement module configured to: use the prediction record and generate a recommendation for a settings change to the resource allocation system. The resource allocation system configured to implement a change to the service to improve performance of services based on the recommendation.

System and method for allocation of resources

Aspects of the present invention relate to machines, systems, and methods for using a zero knowledge hash function to verify validity of an ID. Certain configurations may provide machines, systems, and method for proving the ID is genuine, the information on the ID is correct, and the user presenting the ID is the same as the user in the ID. Some configurations may store a hash based on a one-way function of a data string created from information on the ID in a hashed data string database. Certain variations of the invention may query the database to verify the hashed data string exists in the database. Based on the response of the database to the query, a card authenticator may be configured to send a control transmission to an access control device to cause the access control device change from a first state to a second state.

Zero knowledge cryptographic hash identity validation

A method to enhance security screening includes generating an augmented reality (AR) interface incorporating scan results from scanning a target in a security scanner. The method displays, to a user of an AR interface, the AR interface mapped to the target and determines guidance including an action relevant to addressing the scan results. The method displays, to the user via the AR interface, the guidance including the action for the user to carry out and monitors user actions. The method displays, to the user via the AR interface, confirmation that the user has carried out the action.

Augmented reality security screening and dynamic step-by-step guidance and communication

Various embodiments of the present invention are directed toward systems and methods relating to security screening. For example, a screening system includes a chamber configured to accommodate a user to be screened, and a chamber scanner. The chamber scanner is configured to scan the user to identify whether the user is carrying an undivested item that needs to be divested. The chamber is configured to release the user to proceed from the chamber to a secure area, upon confirmation that no undivested items are to be divested.

Fully automated self-divesting cluster screening system

Augmented reality security screening and guidance

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 decluttered 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.

Adjudicating threat levels in computed tomography (CT) scan images

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.

Digital unpacking of CT imagery

In an example, a thermal imaging test article comprises a block configured to be attached to a blackbody on a back side of the block, the block having a variable thickness to represent facial features of a human face, the block including a cutout to allow a thermal imaging device to see the blackbody behind the block through the cutout, and one or more heaters thermally coupled to the block to produce heat to heat the block. The variable thickness of the block and the heat produced by the one or more heaters are selected to simulate thermally the human face on a front side of the block.

Thermal imaging test article

Fully-automated self-divesting screening system and method

Various embodiments are directed toward systems and methods relating to security screening. For example, a screening system includes chamber scanners oriented to scan different heights corresponding to different respective portions of a user, to identify whether the user is carrying an item that is to be divested. The screening system also includes a divestment scanner configured to obtain a detailed item characterization of the item divested from the user.

Growing community of inventors

Alexandria, VA, United States of America

William Hastings