Welcome to the Age of Big Drone Data
BY SPENCER ACKERMAN04.25.13
6:30 AM
An MQ-9 Reaper at Fort Drum, New York. Photo: U.S. Air Force
James is the Air Force’s deputy chief for intelligence,
surveillance and reconnaissance, giving him the flying service’s drone
portfolio. During a rare public talk yesterday in Washington, James let on that
“sustainment” of the drone fleet is his next big task. That means focusing less
on designing new robots, as the Air Force’s new budget indicates, and more on
the human problem of managing the absolutely enormous amount of data that its
Predators, Reapers, Global Hawks and Sentinels generate.
“The future is going to be taking all sources of information
and developing knowledge and intelligence from that,” James said. He’s working
on some software fixes for that, as well as some data-storage farms. Welcome to
the age of Big Drone Data.
The Air Force has actually lived in it for a long time. Last
year, Secretary Michael Donley lamented that it will take “years” for Air Force
analysts to swim through the oceans of imagery that the drones yield. One of
the major purposes of the drone fleet is to hover over an area longer than a
plane with a pilot in a cockpit can, snapping photos and streaming video down
to the ground. And when you’ve got a robot doing that for 16 to 22 hours at a
stretch, the length of a typical drone combat-air patrol, all that data piles
up.
James doesn’t have ready-made solutions, but he said the Air
Force is starting to look long and hard at its big-data challenges. First comes
upgrading its network infrastructure “to move the data around, store it as you
need to and to do that securely.” (Indeed.)
Next comes an improved suite of software tools to integrate
the video feeds with other forms of imagery, harvested from drones, satellites,
piloted spy planes and other sources. It’s got to work so that “I’m not relying
on the human eyeball to look at FMV, full-motion video, all the time,” he said,
“the tools are doing that for me.” Forthcoming algorithms will find something
from a database of electro-optical information, connect it with something from
the signals database “and bring it together in a fused fashion,” James said. No
timetable on when that’ll come online.
In the meantime, Air Force isn’t totally shying away from
developing new kinds of drones. It’s got a “micro-aviary” of tiny, insect- and
bird-like ones, currently in the research phase. And the Air Force has a long
history of developing planes in secret. As aviation journalist extraordinaire
Bill Sweetman wrote on Tuesday, there’s likely a new secret drone design in the
works right now; and in any event, the Air Force wants its next long-range
bomber to be pilot-optional.
But other challenges that James wants his drone fleet of the
future — even if it looks mostly like the one he’s got today — to meet are
going to compound the Big Drone Data problem.
The first is increasing the time the Predators, Reapers,
Global Hawks and Sentinels can stay aloft, an engineering challenge. The second
is getting ever-powerful sensors in the bellies of the drones, so they can
loiter further away from the targets they spy on. That’s a big issue, since
drones are really easy to shoot down — they fly slow and aren’t built to maneuver
— and not every place the military wants to send them lacks sophisticated air
defenses a la Afghanistan and Iraq.
Yet the longer the drones are in the skies and the better
their sensor packages are, the more data they’ll produce — bringing the Air Force
back into its data-management problem. James levels: they’re working on it.
“The software tools will lead the way,” he predicted. “And
it’s not just the military that’s worried about how you handle this big data.
There’s lots of corporate and commercial interests out there in terms of video
and imagery and what do I do with it and how can I track things and see them.”
Until then, the Air Force has a video glut on its hands.
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