Environmental Impacts

Materials Research to Improve the Performance of Sensors used in Automated Animal Classification

Led by Bing Ouyang, Ph.D.
Affiliated Home Campus: Harbor Branch
Affiliated Department: Harbor Branch Oceanographic Institute
In-Person or Remote project


The overarching goal of the proposed work is to develop transformative techniques for ocean current turbine (OCT) inspection, animal monitoring and animal classification near the OCT site.

For OCT inspection and health monitoring, the FAU/HBOI Systems and Imaging Lab (SAIL) is investigating novel materials and structures to support resource efficient sensor installation and mitigate sensor noise, especially hydrophone noise. These sensors can help to identify marine species near ocean current turbine (OCT) installations based on the acoustic signatures that they create. This acoustic signature-based approach will complement signatures captured using other sensor modality (camera or LiDAR) to accurately identify the protected animals near OCT sites. Under the supervision of FAU Harbor Branch faculty and research associate, the student will work on the evaluation of different materials such as hydrogels, shape-memory alloy etc. in such applications. The student will also support the field deployment of the LiDAR system and process the LiDAR data. The outcome of this project should provide the foundation for future endeavors to investigate improving the sensor performance in a non-ideal OCT monitoring environment.

HBOI ocean fish