Princeton Identity, Inc.

Alion Science and Technology Corporation

Cardinal Engineering LLC

Barry E Mapen

David Alan Ackerman

Steven N Perna

Kevin Richards

John Timothy Green

Timothy James Davis

Glen J Van Sant

Jongjin Kim

Bobby S Varma

Mark A Clifton

Stephen J Piro

Ann-Marie Lanzillotto

David J Wade

Michael P Fleisch

Jitendra J Bhangley

James Russell Bergen

John Michael Margicin

John Amedeo Santini, Jr

Michael Kiernan

Michael Mitchell-Dignan

Matthew Richard Rusnock

Kevin P Richards

Christian A Whitney

John A Santini

Disclosed is a heating system including: a heating garment formed as a tubular sleeve, the heating garment configured for being worn on a limb, having a cylindrical shape, a proximate end, a distal end that is axially spaced from the proximate end, a dorsal side, a ventral side that radially opposes the dorsal side, a proximate opening at the proximate end, and a distal opening at the distal end, wherein the heating garment is configured for being slid over the limb so that the proximate end is at a wrist or ankle, the distal end is near an elbow or knee, the dorsal side covers a dorsal side of the limb and the ventral side covers a ventral side of the limb, the heating garment including an infrared radiation (IR) heating source that distributes IR heat along at least a portion of the heating garment.

Extremity heater

Exemplary embodiments are directed to a multi-modal biometric analysis system including one or more illumination sources, one or more cameras, and a processing device. The illumination sources are configured to illuminate an iris of a subject. The cameras are configured to capture one or more images of the subject during illumination of the subject with the one or more illumination sources. The images include iris biometric data associated with the iris of the subject and face biometric data associated with a face of the subject. The processing device receives as input the one or more images, analyzes the iris biometric data for iris biometric authenticity, analyzes the face biometric data for face biometric authenticity, and compares the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.

Systems and methods of multi-modal biometric analysis

Exemplary embodiments are directed to a biometric security system including an interface, a biometric acquisition device, and a processing device in communication with the interface and biometric acquisition device. The processing device is configured to display a challenge to a subject via the interface, and receive as input a response to the challenge from the subject. Simultaneous to receiving the response to the challenge from the subject, the processing device is configured to capture a biometric characteristic of the subject with the biometric acquisition device. The processing device is configured to analyze the received response to the challenge relative to a preset valid response, and analyze the captured biometric characteristic of the subject for biometric authenticity. The processing device is configured to verify the subject based on both a successful match between the response to the challenge and the preset valid response, and a successful finding of biometric authenticity.

Biometric security systems and methods

Exemplary embodiments are directed to biometric analysis systems generally including one or more illumination sources, a camera, and an analysis module. The illumination sources are configured to illuminate at least a portion of a face of a subject. The camera is configured to capture one or more images of the subject during illumination of the face of the subject. The analysis module is configured to analyze the one or more images captured by the camera to determine an indication of liveliness of the subject and prevent spoofing.

Systems and methods of biometric analysis with a specularity characteristic

Embodiments of a Z-dimension user-feedback biometric system are provided. In some embodiments, a camera captures subject images positioned along a plurality of Z-dimension positions, including a normal subject image for a mid-range of a capture volume and one or both of the following: (a) a close subject image for a front of the capture volume and (b) a far subject image for a back of the capture volume. In some embodiments, a processing element can be configured to create a normal display image, as well as a close display image (with a first exaggerated quality) and/or a far display image (with a second exaggerated quality). In some embodiments, the first exaggerated quality can be a positive exaggeration of a quality and the second exaggerated quality can be a negative exaggeration of the quality.

Z-dimension user feedback biometric system

A method of operating a device to obtain biometric information from a subject includes the step of orienting a device relative to a subject such that a first portion of the device faces the subject, wherein a second portion of the mobile device comprises a camera, the first and second portions being different sides of the device. The method may further includes the steps of operating an optical assembly that is movably coupled to the device, the optical assembly being configured to modify an optical pathway of at least the camera in a direction of the subject and acquiring imaging data of the subject using the camera. The method may further includes the steps of analyzing the acquired imaging data to generate biometric information corresponding to the subject and generating a report using the biometric information.

System and method for mobile device biometric add-on

Systems and methods of biometric analysis with a spectral discriminator

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if the digital and reference iris images match, authenticating a person as authorized to access a first device and transmitting a wireless communication from the first device to a second device.

Control of wireless communication device capability in a mobile device with a biometric key

Exemplary embodiments are directed to biometric analysis systems including one or more illumination sources configured to provide dim illumination to a scene including an object and configured to provide flash illumination to the object in the scene. The biometric analysis systems include a rolling shutter camera configured to capture one or more images. The biometric analysis systems include an adaptive trigger module configured to analyze the scene to detect the object in the scene during dim illumination of the scene, determine a position in a frame of the rolling shutter camera that coincides with the detected object in the scene, and arrange a delay between a start of image writing by the rolling shutter camera and a trigger of the one or more illumination sources such that a stripe of the flash illumination coincides with the detected object in the scene.

Systems and methods of biometric analysis with adaptive trigger

Exemplary embodiments are directed to biometric enrollment systems including a camera and an image analysis module. The camera configured is to capture a probe image of a subject, the probe image including an iris of the subject. The image analysis module is configured to determine an iris characteristic of the iris in the probe image. The image analysis module is configured to analyze the probe image relative to a first enrollment image to determine if a match exists based on the iris characteristic. If the match exists, the image analysis module is configured to electronically store the matched probe image as an accepted image. The image analysis module is configured to select and establish the accepted image as a second enrollment image if the accepted image meets enrollment image criteria.

Biometric enrollment systems and methods

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if the digital and reference iris images match, transition an object from a locked to an unlocked state to allow access to the object.

Validation of the right to access an object

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if at least a portion of the digital and reference iris images match, authenticating a person as authorized to conduct a financial transaction.

Authorization of a financial transaction

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., identity purposes by querying a database for data related to an identified person, comparing the data with a plurality of content, and, in response to a determination that the data matches at least one piece of the plurality of content, display the plurality of content specific to the person on a display device.

Collecting and targeting marketing data and information based upon iris identification

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

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Stonington, CT, United States of America

Barry E Mapen