Saturday, June 11, 2011

Facebook Eagle Eye

Partial script from the military funded movie "Eagle Eye" starring Shia Labeof who admitted that the NSA has much of this system in place and proved it to him by playing back phone calls he made in private.

What is this?

- This is you.

A series of purchases, preferences, and quantifiable data points that we define as your personality. We monitor every social network. Internet logs, instant and text messages, known associates, your friends, companions. E- mails received and sent. Cell phone usage. We utilize security, surveillance and traffic cameras to analyze movements. We use this data to form personality profiles. We know who you are. We are everywhere.

All programmed options, sector searches, and downloaded points of data will lead to this central command.

You're a computer.

Say hello to our Autonomous Reconnaissance Intelligence Integration Analyst.

We call her Aria.

She crunches all our raw intel, finds patterns, helps predict the movement of possible suspects, right down to behavior, motivation, even personality. Transferring primary search function to auxiliary display.

Facebook Quietly Switches On Facial Recognition Tech By Default
June 8th, 2011

Via: Register:

Facebook has rolled out its facial recognition technology to countries outside of the US, but has switched the feature on by default without telling its users first.

UK-based security expert Graham Cluely noted earlier today that Facebook had slotted the tech into the social network.

The Mark Zuckerberg-run company started using its facial recognition software in December last year for its Stateside users in a move to automatically provide tags for the photos uploaded by Facebook users.

The tech works by scanning newly uploaded pics and then identifies faces from previously tagged photos already stored in Zuckerberg’s internet silo.

When the software was introduced in the US late last year, Facebook pointed out that users could disable the function.

“If for any reason you don’t want your name to be suggested, you will be able to disable suggested tags in your Privacy Settings,” the company wrote on its blog post last December.

But now that the tech has reached other shores, Facebook clearly didn’t feel the need to alert its international stalkerbase that its facial recognition software had been switched on by default within the social

Bilderberg sets the agenda and Facebook, Google, Amazon, Microsoft do as they are told...

Bilderberg 2011: Full Official Attendee List
Published: 06/10/2011 | Updated:06/10/2011 8:38 am

Thanks to the fantastic work of Bilderberg activists, journalists and the Swiss media, we have now been able to obtain the full official list of 2011 Bilderberg attendees. Routinely, some members request that their names be kept off the roster so there will be additional Bilderbergers in attendance.


Alexander, Keith B., Commander, USCYBERCOM; Director, National Security Agency
Altman, Roger C., Chairman, Evercore Partners Inc.
Bezos, Jeff, Founder and CEO,
Collins, Timothy C., CEO, Ripplewood Holdings, LLC
Feldstein, Martin S., George F. Baker Professor of Economics, Harvard University
Hoffman, Reid, Co-founder and Executive Chairman, LinkedIn
Hughes, Chris R., Co-founder, Facebook
Jacobs, Kenneth M., Chairman & CEO, Lazard
Johnson, James A., Vice Chairman, Perseus, LLC
Jordan, Jr., Vernon E., Senior Managing Director, Lazard Frères & Co. LLC
Keane, John M., Senior Partner, SCP Partners; General, US Army, Retired
Kissinger, Henry A., Chairman, Kissinger Associates, Inc.
Kleinfeld, Klaus, Chairman and CEO, Alcoa
Kravis, Henry R., Co-Chairman and co-CEO, Kohlberg Kravis, Roberts & Co.
Kravis, Marie-Josée, Senior Fellow, Hudson Institute, Inc.
Li, Cheng, Senior Fellow and Director of Research, John L. Thornton China Center, Brookings Institution
Mundie, Craig J., Chief Research and Strategy Officer, Microsoft Corporation
Orszag, Peter R., Vice Chairman, Citigroup Global Markets, Inc.
Perle, Richard N., Resident Fellow, American Enterprise Institute for Public Policy Research
Rockefeller, David, Former Chairman, Chase Manhattan Bank
Rose, Charlie, Executive Editor and Anchor, Charlie Rose
Rubin, Robert E., Co-Chairman, Council on Foreign Relations; Former Secretary of the Treasury
Schmidt, Eric, Executive Chairman, Google Inc.
Steinberg, James B., Deputy Secretary of State
Thiel, Peter A., President, Clarium Capital Management, LLC
Varney, Christine A., Assistant Attorney General for Antitrust
Vaupel, James W., Founding Director, Max Planck Institute for Demographic Research
Warsh, Kevin, Former Governor, Federal Reserve Board
Wolfensohn, James D., Chairman, Wolfensohn & Company, LLC
June 11, 2011

Infowars reporters Aaron Dykes and Paul Joseph Watson have received confirmation from an inside source that five other influential people who were not named on the official attendee list are in attendance at the Bilderberg conference 2011.

Those names are…

Anders Rasmussen – current Secretary General of NATO
Angela Merkel – German Chancellor - [purported to be Hitler's (sperm donated) daughter]
Jose Luis Zapatero – Spanish Prim Minister
Bill Gates – Former Microsoft CEO, Head of the Gates Foundation
Robert Gates – Serving US Secretary of Defense

In the video , Aaron and Paul break down how Robert Gates’ attendance is therefore a violation of the Logan Act:
Merkel = Hitler's Daughter Part of the Elite

Dangers of geotagging

Following a scientific study[11] and several demonstrative websites,[12][13] a discussion on the privacy implications of geotagging has raised public attention.[14][15][16][17] In particular, the automatic embedding of geotags in pictures taken with smartphones is often ignored by cell-phone users. As a result, people are often not aware that the photos they publish on the Internet have been geotagged. Many celebrities reportedly gave away their home location without knowing it. According to the study, a significant number of for-sale advertisements on Craigslist, that were otherwise anonymized, contained geotags, thereby revealing the location of high-valued goods—sometimes in combination with clear hints to the absence of the offerer at certain times. Publishing photos and other media tagged with exact geolocation on the Internet allows random people to track an individual's location and correlate it with other information. Therefore, criminals could find out when homes are empty because their inhabitants posted geotagged and timestamped information both about their home address and their vacation residence. These dangers can be avoided by removing geotags with a metadata removal tool for photos before publishing them on the Internet.[18]

That is just the geo location, with the Facebook stuff, there is an entire 360 degree, 24/7 timeline activity tracking system intertwinned with fusion centers, Medusa Stare surveillance systems as well as all the public/private CCTV systems.

Connect the dots...

darpa network challenge: GEOLOCATION using NETWORKS and HUMAN SENSORS


Tracking Device Allows Insurance Cartel to Monitor Humans as if they are Lab Rats

Supreme Court rules 9-0 against the 4th amendment in mind blowing decision

Aptima, MITRE, Lockheed To Extend Human Intelligence To UAVS for genocide

Cybernetics - Deliberately unwinnable "wars" to perfect scientific dictatorship

Barnett-Air Force Research Lab-OODA Loop-SAIC, Pentagon VPN Red Team

DARPA Bounces Smart Radar Off Buildings To Track Individual Urban Vehicles From the Sky
By Clay Dillow Posted 03.24.2010 at 1:07 pm

Tracking from Above It's difficult to use radar in urban environments because of all the structures that get in the way. But by bouncing highly sensitive radar off of buildings' facades, DARPA hopes to lock onto individual vehicles from UAVs and track them through urban streets even when buildings block line of sight. Zemlinki Radar is great for tracking objects in the wide-open sky or even at sea, but when you try to take it to street level you run into some obstacles -- literally. Radar requires a good line of sight, and obstructions like buildings or terrain features can render radar useless. But now, using a handful of unmanned aircraft and technology that allows them to intelligently reflect radar off buildings, DARPA is developing a system that should be able to track individual vehicles even as they dart between skyscrapers and other structures.

Dubbed Multipath Exploitation Radar, the system works by using buildings as mirrors, bouncing radar off of surfaces to "see" around corners and keep tabs on vehicles even without direct line of sight. First the MER system uses LIDAR -- optical surveying tech that is already packed on many aircraft -- to create a 3-D map of a city. That model of the city allows the system to calculate which reflective angles can best keep an eye on a particular vehicle even when it is obscured by a structure. Using Ku-band radar, the MER is sensitive to even slight differences between similar vehicles, ensuring that the target car isn't lost in the mix of traffic even when the signals are bouncing off of buildings. That's a key component of MER that can't fail if the system is to work in crowded urban environments. And it will have to; DARPA thinks that once a LIDAR model of a city is made, MER can cover a swath of terrain more than 600 square miles in size. But MER has some obstacles of its own to overcome before it starts seeing through buildings. The key challenge is maintaining a lock on the target as the radar re-orients itself from line-of-sight to reflection and back, perhaps multiple times very rapidly as a car speeds through urban streets. In the meantime, the ever-ambitious DARPA is looking into developiong an algorithm that would allow MER to track several vehicles in different areas at once.

DARPA Wants Roving 'Smart Cameras' That Understand What They See
By Clay Dillow
Posted 03.17.2010 at 5:16 pm

The problem with surveillance cameras is that they can see but they can't think, which means there always has to be a human on the other end making cognitive sense of what's right in front of the camera. But if we meshed machine vision with visual intelligence, DARPA argues in a solicitation for its new "Mind's Eye" program, we could remove the human element from myriad tasks. In essense, DARPA wants a smart camera that not only sees what's in front of it, but thinks about what's going on and even what might happen next. For humans, taking in our surroundings and applying learned concepts to them is innate. We can use our imagination to apply learned concepts to potential scenarios that haven't even taken place. These things are so easy to do we don't even think about them, but they're very difficult to duplicate in machines. Machines, DARPA argues, can't piece the entire mosaic of space together, perceiving only the "nouns" in a given setting. "The focus of Mind's Eye is to add the perceptual and cognitive underpinnings for recognizing and reasoning about the verbs in those scenes, enabling a more complete narrative of action in the visual experience." Applications for such technology abound, but specifically DARPA mentions the need for a smart camera that can "report on activity in an area of observation." The agency sees such visual devices deployed on fixed surveillance platforms, "camera_equipped perch-and-stare micro air vehicles" and unmanned ground vehicles. But if the technology is such that it can do all the things DARPA wants it to, we think they can do even better.

How Bat Sonar Could Improve Human Cameras
The complex algorithm which bats employ to identify plants could make for the most advanced facial recognition software yet
By Matt Ransford Posted 03.24.2008 at 5:07 pm

This past week we happened to cover both dolphin echolocation and facial recognition. Today comes a report on a study that may bring the two concepts a little closer together. German researchers have devised a computer algorithm which is able to identify plant species using sonar echoes, in the same way bats are able to find fruit and insects. If the technology is one day sufficiently refined, it could ultimately be used for facial recognition. Bats rely on echolocation to find their way around and to hunt prey and forage for fruit. In order better to understand how the bats identify which plants bear the fruit they prefer, the researchers at the University of Tübingen devised a software routine that could analyze the echo response time and frequency of sound waves reflected off isolated plants. Each presented a distinct signature, based on the size and number of branches and leaves. The team was able to achieve nearly 100 percent accuracy once the study was complete. Not only will the findings be valuable for the science of bats and echolocation, but the applications for humans are potentially great as well. The distinct advantage of a sonar identification system over a visual-based system is that it would be able to operate in low light or total darkness.

Tested: Face-Detecting Cameras
New cameras can spot a face in a crowd—and focus on it
By Aimee Baldridge Posted 07.12.2007 at 2:00 am

The goal of autofocus is to make something in the picture come out sharp. But if you're taking a photo of people, it's not their hands you want in focus. Recently, camera makers have been adding the ability to detect faces in a scene, track them if they move, and optimize both focus and exposure to make everyone look their best. But not all face-detection systems are equal, as I discovered after testing several compact cameras on patient friends who posed by indoor light, as well as on passersby rushing through Times Square.

How it Works: All face-detecting cameras compare the scene before them to a built-in library of features derived from images of real people, such as the distances between eyes, patterns of light and shadow, and skin colors. So far, no models can identify a face in profile, and they don't function well in low light, such as in bars or candlelit rooms. But they're not easily fooled: In our tests, none were thrown off by variations in skin tone or by accessories like eyeglasses.

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