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Shark
attacks not only disturb beach activities, but can affect associated tourist
industries. Shark nets are a common solution to preventing shark attacks on
beaches, but they cause dangers to sea ecosystems.
Seeking
a cost-effective way to monitor beach safety over large areas, we have
developed a system called Shark Spotter. It combines artificial intelligence
(AI), computing power, and drone (无人机) technology to identify and warn
lifesavers to sharks near swimmers. The project is a cooperation between the
University of Technology Sydney and The Ripper Group, which is pioneering the
use of drones—called "Westpac Little Ripper Lifesavers"—in the search
and rescue movement in Australia.
SharkSpotter
can detect sharks and other potential threats using real-time aerial imagery.
The system analyses video from a camera attached to a drone to monitor beaches
for sharks, send warnings, and conduct rescues. Developed with techniques known
as "deep learning", the Shark Spotter system receives imagery from
the drone camera and attempts to identify all objects in the scene. Once
certain objects are detected, they are put into one of 16 categories: shark,
whale, dolphin, rays, different types of boats, surfers, and swimmers.
If a
shark is detected, Shark Spotter provides both a visual sign on the computer
screen and an audible warning to the operator. The operator confirms the
warning and sends text messages from the Shark Spotter system to the Surf Life
Savers for further action. In an emergency, the drone is equipped with a
lifesaving flotation pod (漂浮仓) together with an electronic shark
repellent (驱逐装置)
that can be dropped into the water in cases where swimmers are in severe
trouble, trapped in a rip, or if there are sharks close by.
In
January 2018, the Westpac Little Ripper Lifesavers was used to rescue two young
swimmers caught in a rip at Lennox Head, NSW. The drone flew down the beach
some 800 meters from the lifeguard station, and a lifesaving flotation pod was
dropped from the drone. The complete rescue operation took 70 seconds.
We believe Shark Spotter is a win-win for
both marine life and beachgoers. This unique technology combines dynamic video
image processing AI and advanced drone technology to creatively deal with the
global challenge of ensuring safe beaches, protecting environments, and
promoting tourism.
（1）A Shark Spotter is ________.
A . a solution to monitor sharks
B . an equipment to identify lifesavers
C . a technology to prevent shark attacks
D . a project to pioneer the use of drones
（2）When a shark is spotted near a swimmer, the system will ________.
A . take timely action
B . analyze the visual data
C . classify the identified objects
D . turn on "deep learning" mode
（3）The example in the 5th paragraph shows us that the system is ________.
A . efficient in saving lives
B . effective in detecting sharks
C . smart in driving sharks away
D . practical over the whole sea area
（4）What is the author's attitude towards the future of SharkSpotter?
A . Doubtful.
B . Optimistic.
C . Negative.
D . Objective.
