Finding Rover, Inc.

University of Utah Research Foundation

John M Schreiner

Steven P Callahan

Rick S Chang

John Polimeno

Jason John Polimeno

Erik Jorgensen

Stan Kanarowski

Tolga Tasdizen

Josh Cates

Greg M Jones

Shigeki Watanabe

Bryan W Jones

A server system stores a database of records. Each record stores a digital image of a pet, facial recognition markers, and owner identification information. An owner may register his/her pet using a cellular telephone and a mobile app. The owner is prompted to supply a digital photograph of the pet and to enter eye and nose location information. The system generates therefrom facial recognition markers and stores the markers in a record. If a lost pet is found, a finding user can use a cellular telephone to take a picture of the animal and to enter eye and nose location information. The system generates markers and compares the markers in a facial recognition process to other stored markers to identify records of animals that resemble the lost pet. If the record of the lost pet is identified, then owner identification information in the record is used to contact the owner.

Facial recognition pet identifying system

Facial recognition lost pet identifying system

A method is described for correlating microscopy images from a number of modalities in a sub diffraction resolution environment. The method may include receiving a number of datasets that may represent microscopy captures from a number of different modalities. The microscopy captures may contain feature markers that may be used to register a number of data points contained in a dataset with data points from another dataset. Upon registering the data points of the datasets, a combined dataset may be produced and a visual image of the combined dataset may be provided.

Microscopy visualization

Growing community of inventors

Salt Lake City, UT, United States of America

John M Schreiner