Skip to main content

Real-time rip current identification tool uses AI and deep learning


Beachgoers could be safer thanks to a new technology with the potential to give real-time updates of rip currents.

Rip currents are narrow, fast-moving segments of water that travel away from the shore. They can reach speeds of 2.5 meters per second, which is quicker than the fastest Olympic swimmer.

NIWA and Surf Life Saving New Zealand (SLSNZ) have developed a state-of-the-art rip current identification tool using artificial intelligence (AI) and deep learning. The tool showed around 90% accuracy detecting rip currents in videos and images in trials. The work is published in the journal Remote Sensing.

NIWA coastal scientists Dr. Christo Rautenbach and Neelesh Rampal say the technology has been tested on a large variety of images from different coastal settings and they hope will ultimately be used by beachgoers to alert them of rip currents.

"We hope that by using cameras and drones at beaches, the tool will be able to scan video footage and notify people of the presence of rip currents. Even knowledgeable surf lifeguards can struggle identifying rips, depending on the beach and environmental conditions. As well as this, some beaches are remote or really large, so surf lifeguards can use all the extra help they can get," said Dr. Rautenbach.

The technology was developed by feeding millions of coastal aerial images into the AI model, along with artificial rain and fog data, to teach it to identify where rips occur in real-time, regardless of weather conditions and camera angle.

Adam Wooler, Special Projects Manager at SLSNZ, says once operationalized the technology will be invaluable for people while they're out enjoying our beautiful coastline.

"This is only the beginning of our research together and our goal is to build even more effective, accurate and reliable safety tools for New Zealand beaches. Rip currents can sweep even the strongest swimmers out to sea—we had 90 people sadly drown in New Zealand last year, 25 of them on beaches, so we're hoping that this technology helps to significantly reduce that number," said Wooler.

Rip currents are reported as the most hazardous safety risk to beachgoers around the world. An Australian study published in 2013 revealed that they have killed more people on Australian territory than bushfires, floods, cyclones, and shark attacks combined. 

For more such news & interesting articles or how can it affect in your life subscribe to our newsletter

 

 

Comments

Popular posts from this blog

Computers that power self-driving cars could be a huge driver of global carbon emissions

In the future, the energy needed to run the powerful computers on board a global fleet of autonomous vehicles could generate as many greenhouse gas emissions as all the data centers in the world today.  Join our   whatsapp group for latest articles updates. That is one key finding of a new study from MIT researchers that explored the potential energy consumption and related carbon emissions if autonomous vehicles are widely adopted. The data centers that house the physical computing infrastructure used for running applications are widely known for their large carbon footprint: They currently account for about 0.3 percent of global greenhouse gas emissions, or about as much carbon as the country of Argentina produces annually, according to the International Energy Agency. Realizing that less attention has been paid to the potential footprint of ...

Novel design helps develop powerful microbatteries

Translating electrochemical performance of large format batteries to microscale power sources has been a long-standing technological challenge, limiting the ability of batteries to power microdevices, microrobots and implantable medical devices. University of Illinois Urbana-Champaign researchers have created a high-voltage microbattery (> 9 V), with high-energy and -power density, unparalleled by any existing battery design.  Join our   whatsapp group for latest articles updates. Material Science and Engineering Professor Paul Braun (Grainger Distinguished Chair in Engineering, Materials Research Laboratory Director), Dr. Sungbong Kim (Postdoc, MatSE, current assistant professor at Korea Military Academy, co-first author), and Arghya Patra (Graduate Student, MatSE, MRL, co-first author) recently published their paper "Serially integrated ...

ChatGPT writes convincing fake scientific abstracts that fool reviewers in study

Could the new and wildly popular chatbot ChatGPT convincingly produce fake abstracts that fool scientists into thinking those studies are the real thing?  Join our   whatsapp group for latest articles updates. That was the question worrying Northwestern Medicine physician-scientist Dr. Catherine Gao when she designed a study—collaborating with University of Chicago scientists—to test that theory. Yes, scientists can be fooled, their new study reports. Blinded human reviewers—when given a mix real and falsely generated abstracts—could only spot ChatGPT generated abstracts 68% of the time. The reviewers also incorrectly identified 14% of real abstracts as being AI generated. "Our reviewers knew that some of the abstracts they were being given were fake, so they were very suspicious," said corresponding author Gao, an instructor in pulmonary an...