ScanEagle UAV and image recognition software used to track seals


December 18, 2010

Scientists are using a Scan Eagle UAV and image recognition software to track seals on the diminishing Arctic ice cap (Photo: Boeing)

Scientists are using a Scan Eagle UAV and image recognition software to track seals on the diminishing Arctic ice cap (Photo: Boeing)

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The Arctic region is currently experiencing a warming trend which is seeing the ice cap break apart, and may even ultimately result in the total absence of ice in the summer months. Many scientists attribute this trend to man made global warming, but whatever the cause, it’s not good news for the seals that breed, rest, and escape marine predators on the ice. In an effort to understand the full scope of the situation, scientists have turned to the Boeing-designed Scan Eagle – an unmanned aerial vehicle more often used for military reconnaissance.

The research project is being led by Elizabeth Weatherhead of the Cooperative Institute for Research in Environmental Sciences (CIRES), a joint venture of the University of Colorado at Boulder and the National Oceanic and Atmospheric Administration (NOAA). Her team is using UC Boulder’s Scan Eagle to conduct aerial photographic surveys of ice floes in the Bering Sea. Launched from the NOAA research vessel McArthur II, the camera-equipped 10-foot (3-meter) wingspan UAV has been making 3 to 5 mile (5 to 8 km) runs lasting 2 to 8 hours over the sea ice, at altitudes of 300 to 1,000 feet (91.5 to 305 meters).

The resulting photographs are analyzed to see how many seals are present, and on what types of ice – “By finding the types of ice they prefer, we can keep track of that ice and see how it holds up as the Arctic sea ice extent shrinks,” said Weatherhead.

Given that it can be very Where’s Waldo-ish trying to find the seals within over 27,000 photos, Boulder Labs has created image recognition software that automatically picks out seals in the pictures. The software also helps researchers in identifying the species of seals, while future versions could additionally deduce their age and gender, and could be tweaked to look for polar bears and their tracks.

“Biologists are thrilled about the image recognition software because it could change the way we monitor seal populations,” said Weatherhead. “We can send an unmanned craft out from a ship, collect 4,000 images, and have them analyzed before dinner. This is a great example of physicists working closely with biologists who are concerned with the health of seal populations.”

About the Author
Ben Coxworth An experienced freelance writer, videographer and television producer, Ben's interest in all forms of innovation is particularly fanatical when it comes to human-powered transportation, film-making gear, environmentally-friendly technologies and anything that's designed to go underwater. He lives in Edmonton, Alberta, where he spends a lot of time going over the handlebars of his mountain bike, hanging out in off-leash parks, and wishing the Pacific Ocean wasn't so far away. All articles by Ben Coxworth

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