The University of Texas System

Mote Marine Laboratory

Barbara A Kirkpatrick

Robert D Currier

Portable imaging and taxa classification systems and methods are described. One such method comprises accessing at least one microscopic image captured using an imaging device and a microscope from memory and executing a machine learning (ML) routine on the at least one computing device using a single image frame of the at least one microscopic image as an input to identify a presence of a taxa.

Portable machine learning taxa detection

Human observers stationed on or near beaches gather subjective observations of one or more observable beach conditions associated with respiratory distress. Subjectively determined observations such as dead fish and audible coughing provide a better indication of the likelihood of respiratory distress than measurements made using scientific instruments. The observations may be sent to a remote central database using handheld communication devices. A beach status evaluation is determined based on stored observations, and may be provided to beachgoers through Internet web pages or by telephone or text-message to enable beachgoers to choose an alternative beach or alternative activity when respiratory distress is likely.

Growing community of inventors

Sarasota, FL, United States of America

Barbara A Kirkpatrick