The Ripper Group in conjunction with UTS successfully developed and demonstrated the world’s first drone-enabled automatic shark detection system. This delivers 90% accuracy in detecting sharks.
The appropriately named SharkSpotter™ RPAS uses breakthrough artificial intelligence (AI) which leverages cutting-edge, deep-learning neural networks and image processing techniques that can – in real time – detect and alert an operator if a shark is present.
Sharkspotter’s video processing capabilities enable it to distinguish between sharks and other marine life such as dolphins, rays and whales, as well as human beings such as swimmers, board riders and objects such as boats…irrespective of whether the sharks are moving or not.
When combined with the sound speaker functionality, the automated drone-enabled system can warn surfers and swimmers that a shark is nearby, and simultaneously relay this information direct to emergency services and beach lifeguards for appropriate action.
Award-winning research solutions. The Ripper Group and University of Technology Sydney (UTS) are 2018 iAward winners in three categories for the Sharkspotter™ RPAS: Artificial Intelligence or Machine Learning Innovation of the Year Award, Research and Development Project of the Year Award, and the Community Service Markets Award.