CX-101160 Machine Learning and Data Analytics for Automated Detection, Identification, enumeration, and tracking of Migrating Adult Eels from Sonar Data

Award Number: DE-EE0008341
CX(s) Applied: A9, B3.6
Water Power Technologies Office
Location(s): MD
Office(s): Golden Field Office

The U.S. Department of Energy (DOE) is proposing to provide funding to Electric Power Research Institute (EPRI) to  develop machine-learning based detection of American eels from Adaptive Resolution Imaging Sonar (ARIS). EPRI  would use existing data, collected from the Iroquois Water Control Dam on the St. Lawrence River in New York, along  with new data generated from laboratory experiments, to train a convolutional neural network (CNN) to detect eels and  differentiate them from non-eel targets.