Latanya Arvette Sweeney - Pittsburgh PA, US Victor Walter Weedn - Kitanning PA, US Ralph Gross - Pittsburgh PA, US
Assignee:
Handshot, LLC - Cambridge MA
International Classification:
G06K 9/00 G06K 9/36 G06F 21/00
US Classification:
382115, 382190, 382284, 713186
Abstract:
A system and method for capturing biometric data from a hand includes a low resolution camera for recognizing the existence of a hand and determining when the hand is in an optimal position and orientation to capture the biometric data. A plurality of high resolution cameras photographs respective sections of the palm and fingers while several lights illuminate the sections from different directions in rapid sequence. A processor then tiles together the respective images, matches the friction ridges between adjacent images, adjusts the images to account for curvature, and selects individual pixels from the several images to obtain maximum contrast. Conversions of the resulting images into standard formats, such as grayscale, black and white, or simulated rolled ink fingerprint equivalents are also included.
Automated Service Measurement, Monitoring And Management
In a method and system of service management, a radiative sensor is positioned to observe an area of interest. At least one frame of data of the area of interest is electronically acquired from the radiative sensor. The acquired frame of data is electronically processing to determine the presence or absence of at least one object in the area of interest. Based on the presence or absence of the object in the area of interest, (1) an alert is electronically caused to be generated in response to also electronically detecting another object in another area of interest, and/or (2) a timer is electronically caused to initiate or terminate counting a period of time.
Frontal Hand Capture Of Fingerprints, Palm Prints And Hand Geometry Using Contactless Photography
Latanya A. Sweeney - Pittsburgh PA, US Ralph Gross - Pittsburgh PA, US Xiaoqian Jiang - Pittsburgh PA, US
Assignee:
Handshot, LLC - Pittsburgh PA
International Classification:
H04N 7/18
US Classification:
348 77
Abstract:
The present invention is a system and method that captures hand geometry, full-length fingerprints, and/or palm prints from a frontal view of a freely posed hand using contactless photography. A system and method for capturing biometric data of a hand includes the steps of and means for (a) digitally photographing a designated contactless capture area not having any predefined hand-positioning structures or platen for receiving a hand, to obtain a captured image of the capture area that includes a naturally-posed hand; (b) extracting a frontal hand image of the naturally-posed hand by applying an Active Appearance Model (AAM) to the captured image; (c) computing a plurality of hand geometry measurements of the frontal hand image; and (d) comparing the plurality of hand geometry measurements from the frontal hand image to corresponding existing hand geometry measurements, wherein the comparison results in a best match.
Vision-Based Measurement Of Bulk And Discrete Food Products
In a real time food production management system and method, real time data about consumers inside or in the vicinity of a food outlet and an amount of prepared food available to serve and/or an amount of food being prepared is electronically generated. Based on the real time data, a demand for an amount of food to be ordered by the consumers in a specified interval immediately succeeding the generation of the real time data is electronically predicted. In addition, at least one of the following is electronically determined based on the real time data: a predicted amount of additional food requiring preparation; the time at least one prepared food product has been available; a length of time that a cooked food component has been cooked; and an amount of a food component, a condiment and/or a topping resides in a food product assembly buffer.
Robert Craig Coulter - Apollo PA, US Ralph Gross - Pittsburgh PA, US Jean-Francois Lalonde - Pittsburgh PA, US Barbara Anne-Marie Simard - Pittsburgh PA, US
Assignee:
DISRUPTIVE IP, INC. - Apollo PA
International Classification:
G06Q 50/00
US Classification:
705 2
Abstract:
In a method and system of controlling patient care logistics, a computer determines for each of a number of user devices a unique priority sorted list of queue tasks on the basis of global criterion. Each user device is dispatched the unique priority sorted list of queue tasks determined for the user device. In response to receiving a change in at least one global criterion, the computer determines for each user device either an amendment to the unique priority sorted list of queue tasks for the user of the user device or a new unique priority sorted list of queue tasks for the user of the user device, and then dispatches the unique priority sorted list of queue to the user device.
System And Method Of Patient Flow And Treatment Management
Robert Craig Coulter - Apollo PA, US Ralph Gross - Pittsburgh PA, US Jean-Francois Lalonde - Pittsburgh PA, US Barbara Anne-Marie Simard - Pittsburgh PA, US
Assignee:
DISRUPTIVE IP, INC. - Apollo PA
International Classification:
G06Q 50/00 G06Q 10/00
US Classification:
705 3, 705 2
Abstract:
In a system and method of patient flow and treatment management, information regarding a patient admitted to a first unit of a patient treatment facility that is received into a first one of a number of user devices is dispatched to a server computer. Upon receipt of this patient information the server computer runs (desirably in real-time) a prediction application/algorithm that predicts an estimate of (1) the patient needing a resource in the first unit or a second unit of the facility, (2) a length of time before the patient needs the resource, and/or (3) an identity of the unit that has the needed resource. The server computer then dispatches (again, desirably in real-time) one or more of the predictions to one or more of the user devices, each of which receives and displays the prediction on a display thereof.
Validating Legitimacy Of A Social Security Number Or Other Identifier
Alessandro Acquisti - Pittsburgh PA, US Ralph Gross - Pittsburgh PA, US Ioanis Alexander Biternas Wischnienski - San Francisco CA, US
Assignee:
Carnegie Mellon University - Pittsburgh PA
International Classification:
G06N 5/02
US Classification:
706 52
Abstract:
Methods and systems for predicting statistically probable systematically assigned identifiers are disclosed, as are methods and systems for determining the likelihood that a systematically assigned identifier provided by a purported assignee of the identifier is legitimate. In one example, determining the likelihood of legitimacy includes determining the likelihood that the provided identifier is a valid identifier and determining the likelihood that the provided identifier was assigned to the purported assignee. To accomplish this validation, the present disclosure employs patterns of assignment discernable for systematically assigned identifiers in combination with statistical methods.
Automated Service Measurement, Monitoring And Management
Robert Craig Coulter - Apollo PA, US Ralph Gross - Pittsburgh PA, US Kerien W. Fitzpatrick - Sewickley PA, US
Assignee:
HyperActive Technologies, Inc. - Pittsburgh PA
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
In a method and system of service management, a radiative sensor is positioned to observe an area of interest. At least one frame of data of the area of interest is electronically acquired from the radiative sensor. The acquired frame of data is electronically processing to determine the presence or absence of at least one object in the area of interest. Based on the presence or absence of the object in the area of interest, (1) an alert is electronically caused to be generated in response to also electronically detecting another object in another area of interest, and/or (2) a timer is electronically caused to initiate or terminate counting a period of time.
412 Food Rescue
Board Member
Disruptive Robotics
Chief Scientist
Blupanda Llc
Chief Scientist
Hyperactive Technologies 2008 - 2010
Vision Architect
Carnegie Mellon University Aug 2004 - May 2008
Grad Student
Education:
Carnegie Mellon University 2005 - 2008
Doctorates, Doctor of Philosophy
Karlsruhe Institute of Technology (Kit) 1993 - 1998
Master of Science, Masters, Computer Science
Skills:
Machine Learning Algorithms Computer Science Artificial Intelligence Computer Vision Pattern Recognition C++ Matlab Image Processing Python Natural Language Processing Data Mining Software Engineering C Distributed Systems Speech Recognition Research
research has looked at data from over 5,076 Facebook users who had just joined the website in 2005, when it all began to 2011. The research paper, titled, Silent Listeners: The Evolution of Privacy and Disclosures on Facebook, has been written by Alessandro Acquisti, Ralph Gross and Fred Stutzman. You
Date: Mar 06, 2013
Category: Sci/Tech
Source: Google
STUDY: Confusing Facebook Privacy Settings Lead To More Public Information
examined the Facebook habits of5,076 users between 2005 and 2011, studying how their sharing habits changed over time. The study was authored byCMU Associate Professor of Information Technology and Public Policy Alessandro Acquisti, along with university researchers Ralph Gross and Fred Stutzman.
Date: Mar 06, 2013
Category: Sci/Tech
Source: Google
Study: Facebook Users More Protective Even as They Reveal More About ...
The research paper, written by Alessandro Acquisti, Ralph Gross and Fred Stutzman, is unusual in that it followed the privacy practices of a set of users over an extended period. It did not receive any financing from Facebook or its business rivals.
Alessandro Acquisti, Ralph Gross and Fred Stutzman took 25,000 profile pictures from Facebook and asked volunteers to have their picture taken by a webcam. Within a few seconds, using a powerful computer system that rapidly compared photos, theyd identified 31 percent of the kids, according to thei
Date: Aug 05, 2011
Category: Sci/Tech
Source: Google
Facebook's Photo Archive Can Identify People in Real Life [STUDY]
The authors of the study titled Faces of Facebook: Privacy in the Age of Augmented Reality, Alessandro Acquisti, Ralph Gross and Fred Stutzman, demonstrated it at the Black Hat technical security conference, which was held from July 30 to August 4 in Las Vegas. They used publicly available data
Date: Aug 05, 2011
Source: Google
Researchers show power of Facebook facial-recognition software
Acquisti presented his findings, alongside fellow researchers Ralph Gross and Fred Stutzman, at the Black Hat Technical Security Conference in Las Vegas, according to tech website Cnet, which reported on the group's presentation.
Date: Aug 05, 2011
Category: Sci/Tech
Source: Google
Face-matching with Facebook profiles: How it was done
In a few years, "facial visual searches may become as common as today's text-based searches," says Alessandro Acquisti, who presented his work in collaboration with Ralph Gross and Fred Stutzman at the Black Hat computer security conference here.
In their recent research, Acquisti, an associated professor of information technology and public policy, and CMU postdoctoral fellows Ralph Gross and Fred Stutzman, used three technologies: an "off-the-shelf face recognizer" (the PittPatt technology, recently purchased by Google, and one that began
Trucksville School Trucksville PA 1949-1953, McClintock Middle School Charlotte NC 1954-1958, Northwest High School Winston Salem NC 1958-1961
Community:
Allen Tothill, William Pace, Newton Scott, Donald Wagoner, Peggy Robinson, Cheryl Fuller, Richie Crater, Michael Taylor, Johnnie Clanton, Bonnie Hunter