Hundreds of Thousands of Hours of UAV Surveillance Video - What Does It All Mean?

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Indeed by now, you've probably watch that famous YouTube video that everyone loves to send around and recommend; "Did You Know 3.
0" - the one with all the overwhelming statistics about how fast technology is moving and overwhelming our society.
Of course, it's not just human civilizations and societies that are becoming overwhelmed, the United States military even with all its robust computer capability is also drowning in data.
Well I ask; "Did You Know?" And with that question I ask; what exactly do they know, and do they know all that they know? And how do they know what they know, if they don't know how to access the needle in the haystack from the previous hundreds of thousands of hours of surveillance video? Those are good questions, and computer scientists and programmers are working on that right now, they're trying to develop mathematical algorithms to help search through all that old data to get to the precise information they need.
Let's say you have a couple of pilots that are flying a UAV from a videogame like machine 3000 miles away.
And you are collecting all sorts of surveillance video, which has to be viewed by humans, dissected, and that information has to be determined if it is relevant are not.
It could take up to 20 people going over the data that one drone is collecting, and with budget cuts in the Department of Defense that's probably going to be determined to be an unacceptable expenditure of human resources.
There was an interesting article in the New York Times on January 17, 2011 titled; "In New Military, Data Overload Can Be Deadly" by Thom Shanker and Matt Richtel, which described the military's challenge with data overload when it comes to all the information coming in from the unmanned aerial vehicles and drones.
That coupled with other situational awareness information coming in from satellites, people on the ground, and CIA intelligence was causing mental overload.
Now then, compound that with hundreds of thousands of hours of aerial surveillance footage and you can understand the overwhelming task of the United States Air Force.
Not to mention the fact that they have to operate on a tight timetable and take advantage of a target of opportunity, as well as exploit the enemy's mistakes, and it all has to happen in real-time.
Situational awareness is very important, but there is an axiom which is quite a popular quote; "analysis paralysis" and so there needs to be a faster, easier, and more efficient way to sift through and search through all the data as needed.
And we need to train our team once the system is created to ask the right questions.
Then maybe the artificial intelligent computers after being asked the same question always over and over again will start doing it on its own.
No, I am not trying to cause job losses at the Department of Defense, the CIA, or the United States Air Force, and yes, I realize how robotics have cost hundreds of thousands of jobs in the auto industry, the telecommunication industry, and other industries.
Nevertheless, if we are not getting the job done, then it's just insane to keep down the same path.
No one likes to have a war, but it's paramount that we win this one, we should not be a nation that lives in fear with the prospect of international terrorism.
The stakes are pretty high and thankfully we have some of America's best minds working on this right now.
Indeed, hope you will please consider all this and think on it.
If you have any questions, comments, or concerns house always you may e-mail me.
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