Artificial intelligence supports rapid detection of sharks in Australia

In the context of the increasing number of shark attacks, Australia has developed the ability to detect sharks to be able to warn as soon as possible for visitors and swimmers and surfers.

This new alert program is used to analyze thousands of images recorded by aircraft cameras to build an algorithm to distinguish maritime targets.

Software developer Nabin Sharma of the University of Technology Sydney (UTS) said the software can distinguish marine species and many other objects at sea such as sharks, whales, dolphins, surfers. waves, ships, boats .

Drones can also drop rescue devices down for swimmers in dangerous situations.

Accordingly, this software can identify sharks with accuracy up to 90%, many times higher than the 16% accuracy of the human eye. Therefore, warning to people in the sea will be many times faster.

In addition, unmanned aircraft can also drop rescue devices down for swimmers in the event of an unusual emergency.

Currently, Australia relies heavily on rescue teams, who only distinguish sharks with the naked eye and face many limitations in the process of salvaging seafarers.

In addition, many beaches in Australia have shark sharks deployed, but the Australian Government is demanding to eliminate this protection because more modern methods are being applied such as sound-locating technologies. bar and aerial patrol.

In addition, shark nets are not more effective than other measures, but they have a great impact on the activity and habitat of many marine organisms.

Sharks live a lot in Australian waters, but do not attack people. However, in recent years, the number of sharks that attacked people increased dramatically when water sports became more popular as well as fishing grounds moved closer to the mainland.

However, the number of people killed by shark attacks in Australia is only very low, 47 cases in the past 50 years.