Accuracy of 90% Australia utilises artificial intelligence drones to prevent shark attacks

[NetEase Smart News, August 28] Australia's famous Gold Coast is a surf sanctuary located 43 miles off the eastern coast of the country. The area is planning to use artificial intelligence drones to warn people of the threat of sharks so that they will not be buried in their fish.

In the past two years, there have been fourteen shark attacks in this humid subtropical climate, causing two deaths. However, the desertification of hard crabs (18) was completed. The quad-core aircraft deployed by the project will fly above the blue-green seawater and transmit the captured images to an image recognition technology system to determine if the image is just a dolphin or something more deadly.

Moreover, if a creature similar to sharks is identified, the drone will sound an alert and be able to lay down a liferaft and communications equipment for four so that swimmers can seek help.

Australia's splitters project team is responsible for the production of the drone, and its use of artificial intelligence technology from the UTS R & D team. The project is funded by the Western Pacific Banking Group headquartered in Australia. In the near future, drones will wirelessly transmit video images to a computer on the ground to further confirm whether sharks are actually in the water. In the future, the project plans to make UAVs equipped with on-board computational processor capabilities that can directly determine whether or not the investigation item is a shark in the water.

This is just an additional measure of safety for swimmers in the water. Prof. Paul Scully, co-founder of the cracking project team, told Reuters: “I think people had learnt defense defense measures for years was the only feasible way. "This project will be an important part of defense in depth," said Scully.

For the detection of sharks, helicopters have an accuracy of about 18%, while aircraft have only 12% accuracy. At the same time, according to the digital trend report earlier this year, drones can achieve 90% accuracy. The project began in 2016 when researchers from the University of Technology, Sydney captured more than 8,000 photos from coastal waters to train the smart computing.

"This is not to replace the entire work of human beings, but to assist humans to complete their work in a more accurate manner." Dr. Nabin Dean Harvard of the University of Technology Sydney told Reuters: "This is the significance of this application."

Although the fear of artificial intelligence and the automation of human labor is reasonable, this example just shows that machine assistance can greatly benefit human beings. (Selected from: inverse  and   庵 庵 庵     : Fan Hang)

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