University of Wollongong Research Online Faculty of Engineering and Information SMART Infrastructure Facility - Papers Sciences 1-1-2020 Sharkeye: Real-Time Autonomous Personal Shark Alerting via Aerial Surveillance Robert A. Gorkin III University of Wollongong,
[email protected] Kye Adams University of Wollongong,
[email protected] Matthew J. Berryman University of Wollongong,
[email protected] Sam Aubin Wanqing Li University of Wollongong,
[email protected] See next page for additional authors Follow this and additional works at: https://ro.uow.edu.au/smartpapers Part of the Engineering Commons, and the Physical Sciences and Mathematics Commons Recommended Citation Gorkin III, Robert A.; Adams, Kye; Berryman, Matthew J.; Aubin, Sam; Li, Wanqing; Davis, Andrew R.; and Barthelemy, Johan, "Sharkeye: Real-Time Autonomous Personal Shark Alerting via Aerial Surveillance" (2020). SMART Infrastructure Facility - Papers. 300. https://ro.uow.edu.au/smartpapers/300 Research Online is the open access institutional repository for the University of Wollongong. For further information contact the UOW Library:
[email protected] Sharkeye: Real-Time Autonomous Personal Shark Alerting via Aerial Surveillance Abstract While aerial shark spotting has been a standard practice for beach safety for decades, new technologies offer enhanced opportunities, ranging from drones/unmanned aerial vehicles (UAVs) that provide new viewing capabilities, to new apps that provide beachgoers with up-to-date risk analysis before entering the water. This report describes the Sharkeye platform, a first-of-its-kind project to demonstrate personal shark alerting for beachgoers in the water and on land, leveraging innovative UAV image collection, cloud- hosted machine learning detection algorithms, and reporting via smart wearables.