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June 17, 2015

Shark deterrent research reveals interesting results

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Shark researchers from the Neuroecology Group at The University of Western Australia have released the results of their WA State Government-funded research into the effectiveness of a range of novel and commercial shark deterrents.

The research team, which included UWA Oceans Institute Director Professor Shaun Collin, Associate Professor Nathan Hart and Dr Ryan Kempster, set out to test the effectiveness of a range of deterrents that have either been shown to work with other aquatic vertebrates (predominantly bony fish), or are currently commercially available as shark deterrents.

New deterrents tested included strobe lights, sounds and bubble barriers, with varying degrees of success. Two commercial deterrents were also trialed (the Shark Shield and the electric anklet device) which revealed clear differences in their effectiveness. Below are some key findings from the research:

The results highlight the major findings of the research, but it still needs to be scientifically validated through the peer review process. Full details of the research will be released in scientific publications later this year.

Professor Collin said once the results had been published, the investigations would provide valuable insights into the effectiveness of existing shark deterrents and reveal a range of interesting findings about the sensory world of sharks.

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"We hope this will ultimately lead to the development of new shark deterrent technologies in the future," he said.

Professor Mohammed Bennamoun's team from UWA's School of Computer Science and Software Engineering has also developed advanced computer algorithms that allow for the automatic detection, identification and tracking of sharks from aerial videos.

The system is powerful enough to distinguish from other marine objects such as swimmers, boats and dolphins. The system also allows shark detection and tracking under challenging imaging conditions such as low light, strong sun reflections, poor contrast and fog.

"A recently awarded $500,000 grant from the Australian Research Council (ARC) will enable us to pursue this work and tackle the more general problem of visual recognition of marine species," Professor Bennamoun said.

"Automating marine species recognition would overcome a major bottleneck faced by marine scientists who currently need to manually process underwater imagery to assess the health of our oceans. We will also be looking for a potential partner to commercialise our technology."

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