Bobby Sherica Varma

US Patent:

20040191119, Sep 30, 2004

Filed:

Mar 24, 2003

Appl. No.:

10/394230

Inventors:

Peter Zanzucchi - Princeton Junction NJ, US
Nitin Desai - Princeton Junction NJ, US
Sterling McBride - Princeton NJ, US
Wen Ho - Plainsboro NJ, US
Bobby Varma - West Windsor NJ, US

International Classification:

G01N021/00

US Classification:

422/058000, 436/169000

Abstract:

Arrangements for the detection of the presence and/or concentration of an analyte in a sample of bodily fluid include diffuse transmission, diffuse reflection and edge or waveguide illumination arrangements. A vertical flow assay arrangement and/or technique is also disclosed, and includes a detection component that can be in the form of an array of optical detection elements. A number of assay pad constructions are described which may include at least one or more of the following components: a prefilter component, a reflective component, a membrane component, a reagent component, a mesh component, and a component to prevent lateral spreading.

US Patent:

20220253514, Aug 11, 2022

Filed:

Jan 5, 2022

Appl. No.:

17/569148

Inventors:

- Hamilton NJ, US
Kenneth R. Boutot - Philadelphia PA, US
James DiNapoli - Plainsboro NJ, US
Paul DuPiano - North Brunswick NJ, US
Jean-Michel Florent - Villanova PA, US
Drew McGalliard - Newtown PA, US
Erik Myhrer - New Brunswick NJ, US
Kyle James O'Connor - Philadelphia PA, US
Sean Singer - Monroe NJ, US
Bobby Varma - Princeton NJ, US

Assignee:

Princeton Identity - Hamilton NJ

International Classification:

G06F 21/32
G06T 7/00
G06V 40/70
G06F 16/50

Abstract:

Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

US Patent:

20180349589, Dec 6, 2018

Filed:

Aug 2, 2018

Appl. No.:

16/052702

Inventors:

- Hamilton NJ, US
Mark A. Clifton - Brick NJ, US
Jongjin Kim - East Windsor NJ, US
Bobby S. Varma - Princeton NJ, US
Stephen J. Piro - Moorestown NJ, US
Barry E. Mapen - Stonington CT, US
Kevin P. Richards - Narragansett RI, US
David Alan Ackerman - Hopewell NJ, US
Ann-Marie Lanzillotto - Lawrenceville NJ, US
David J. Wade - Stonington CT, US
Timothy J. Davis - Columbus NJ, US
Michael P. Fleisch - Manalapan NJ, US
Jitendra J. Bhangley - Morganville NJ, US
Glen J. Van Sant - Langhorne PA, US
John Timothy Green - Lisbon CT, US

Assignee:

Princeton Identity, Inc. - Hamilton NJ

International Classification:

G06F 21/32
G07C 9/00
G06K 9/00
G06F 3/01
G06K 9/20
G06F 17/30

Abstract:

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.

US Patent:

20180337919, Nov 22, 2018

Filed:

Jul 27, 2018

Appl. No.:

16/047312

Inventors:

- Hamilton NJ, US
Mark A. Clifton - Brick NJ, US
Jongjin Kim - East Windsor NJ, US
Bobby S. Varma - Princeton NJ, US
Stephen J. Piro - Moorestown NJ, US
Barry E. Mapen - Stonington CT, US
Kevin P. Richards - Narragansett RI, US
David Alan Ackerman - Hopewell NJ, US
Ann-Marie Lanzillotto - Lawrenceville NJ, US
David J. Wade - Stonington CT, US
Timothy J. Davis - Columbus NJ, US
Michael P. Fleisch - Manalapan NJ, US
Jitendra J. Bhangley - Morganville NJ, US
Glen J. Van Sant - Langhorne PA, US
John Timothy Green - Lisbon CT, US

Assignee:

Princeton Identity, Inc. - Hamilton NJ

International Classification:

H04L 29/06
G06K 9/00
G06Q 20/40
G06K 9/20
G07C 9/00

Abstract:

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.

US Patent:

20180322343, Nov 8, 2018

Filed:

Jul 16, 2018

Appl. No.:

16/036023

Inventors:

- Hamilton NJ, US
Mark A. Clifton - Brick NJ, US
Jongjin Kim - East Windsor NJ, US
Bobby S. Varma - Princeton NJ, US
Stephen J. Piro - Moorestown NJ, US
Barry E. Mapen - Stonington CT, US
Kevin P. Richards - Narragansett RI, US
David Alan Ackerman - Hopewell NJ, US
Ann-Marie Lanzillotto - Lawrenceville NJ, US
David J. Wade - Stonington CT, US
Timothy J. Davis - Columbus NJ, US
Michael P. Fleisch - Manalapan NJ, US
Jitendra J. Bhangley - Morganville NJ, US
Glen J. Van Sant - Langhorne PA, US
John Timothy Green - Lisbon CT, US

Assignee:

Princeton Identity, Inc. - Hamilton NJ

International Classification:

G06K 9/00
G07C 9/00
G06Q 30/02
G06K 9/20
G06F 17/30
G06F 3/01

Abstract:

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.

US Patent:

20170251366, Aug 31, 2017

Filed:

Sep 24, 2015

Appl. No.:

15/514098

Inventors:

- Hamilton NJ, US
Mark A. Clifton - Brick NJ, US
Jongjin Kim - East Windsor NJ, US
Bobby S. Varma - Princeton NJ, US
Stephen J. Piro - Moorestown NJ, US
Barry E. Mapen - Stonington CT, US
Kevin P. Richards - Narragansett RI, US
David Alan Ackerman - Hopewell NJ, US
Ann-Marie Lanzilloto - Lawrenceville NJ, US
David J. Wade - Stonington CT, US
Timothy J. Davis - Columbus NJ, US
Michael P. Fleisch - Manalapan NJ, US
Jitendra J. Bhangley - Morganville NJ, US
Glen J. Van Sant - Langhorne PA, US

Assignee:

Princeton Identity, Inc. - Hamilton NJ

International Classification:

H04W 12/06
A61B 5/1171
H04L 29/06
H04W 12/08
G06F 21/32
G06F 21/83

Abstract:

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.

US Patent:

20160012218, Jan 14, 2016

Filed:

Sep 24, 2015

Appl. No.:

14/863950

Inventors:

- Menlo Park CA, US
Mark A. Clifton - Brick NJ, US
Jongjin Kim - East Windsor NJ, US
Bobby S. Varma - Princeton NJ, US
Stephen J. Piro - Moorestown NJ, US
Barry E. Mapen - Stonington CT, US
Kevin P. Richards - Narragansett RI, US
David Alan Ackerman - Hopewell NJ, US
Ann-Marie Lanzillotto - Lawrenceville NJ, US
David J. Wade - Stonington CT, US
Timothy J. Davis - Columbus NJ, US
Michael P. Fleisch - Manalapan NJ, US
Jitendra J. Bhangley - Morganville NJ, US
Glen J. Van Sant - Langhorne PA, US

International Classification:

G06F 21/32
G06F 17/30
G06F 3/01
G06K 9/00
G06K 9/20

Abstract:

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.

US Patent:

20160012292, Jan 14, 2016

Filed:

Sep 24, 2015

Appl. No.:

14/863960

Inventors:

- Menlo Park CA, US
Mark A. Clifton - Brick NJ, US
Jongjin Kim - East Windsor NJ, US
Bobby S. Varma - Princeton NJ, US
Stephen J. Piro - Moorestown NJ, US
Barry E. Mapen - Stonington CT, US
Kevin P. Richards - Narragansett RI, US
David Alan Ackerman - Hopewell NJ, US
Ann-Marie Lanzillotto - Lawrenceville NJ, US
David J. Wade - Stonington CT, US
Timothy J. Davis - Columbus NJ, US
Michael P. Fleisch - Manalapan NJ, US
Jitendra J. Bhangley - Morganville NJ, US
Glen J. Van Sant - Langhorne PA, US

International Classification:

G06K 9/00
G06Q 30/02
G06F 17/30
G06K 9/20
G06F 3/01

Abstract:

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.