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See the news Australian Shark Spotter Algorithm Boasts 90 Percent Accuracy from Source Digital Trends on 28/04/2017 has been updated to day with the theme on feedixo.

Australian Shark Spotter Algorithm Boasts 90 Percent Accuracy

Why it matters to you A new algorithm called the Shark Spotter boasts a 90 percent accuracy rating when differentiating sharks from dolphins and whales.A research team in Australia recently developed an algorithm capable of using video footage streamed from drones to detect sharks and alert swimmers, dubbing it (naturally) Shark Spotter. According to Dr. Nabin Sharma — a research associate at the University of Technology (UTS) in Sydney — the new algorithm is 90 percent accurate in distinguishing sharks from dolphins, rays, whales, and other marine life. Those numbers are significant when compared to an 18 percent accuracy of human spotters using their naked eye in helicopters, or the 12 percent rate for humans in fixed-wing aircraft.The Shark Spotter tech launched 12 months ago by the Australia-based Westpac Group, a bank that sponsors search and rescue drones. Westpac commissioned the researchers at UTS to develop the algorithm and integrate it with the company’s existing Little Ripper Lifesaver drones. Over the course of the year, UTS staff flew drones over coastal waters and captured roughly 8,000 images. The team then created the algorithm using computer systems modeled after the human brain and nervous system.Westpac’s Little RipperWestpacWestpac“The system efficiently distinguishes and identifies sharks from other targets by processing video feeds that are dynamic as well as images where objects are static,” said UTS Prof. Michael Blumenstein.With the new technology, the drones will be able to hover over sharks when detected and send alerts to nearby lifeguards and emergency services. They’ll...

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See the news Australian Shark Spotter Algorithm Boasts 90 Percent Accuracy from Source Digital Trends on 28/04/2017 has been updated to day with the theme on feedixo.

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