Cordon motion tracker reads license plates and tracks speed

Latest threat assessment AI from DARPA: Insight

Apple patenting AI trojan for use in mobile devices [updated]

While many of my pals have I-phones, I have no intention of getting one.  The interface is slick and it has all the features a person could ask for in a mobile device (and more), but the inability to remove the battery sends shivers up my spine.

Steve Jobs proudly displays the latest NSA bugging device

In this patent application, Apple claims it has software that essentially turns a mobile device into a biometric trojan horse, identifying users by their biometric data (heartbeat pattern, accelerometer vibration patterns, voice print, and face recognition), logging keystrokes, saving packet data, etc. all under the thin guise of protecting the device from unauthorized use.

Now let’s not kid ourselves, law enforcement agencies can already install a trojan on most if not all major models of mobile devices via firmware updates, but as usual Apple is thinking different.  This is bigger.  Machine vision, biometric identification, accelerometer analysis, GPS, voice recognition…. all these streams of data amount to much more than a traditional eavesdropping device.

Apple’s patent turns the devices into literal sensory organs for an AI threat assessment system like the NSA Main Core.  Humans would not even begin to be able to integrate all these input data streams, but AI software can.

Not only has Apple devised the ultimate intelligence trojan, they’ve also designed a personalized weapon targeting system.  If a mobile device identifies a human target, A missile or beam weapon strike can be confidently delivered to the target using the device’s biometric identification and GPS locator, confirmed by satellite.

The sheer number of mobile devices and sensory data available, and the abililty to integrate these streams centrally using AI systems creates a biometric surveillance cloud for the ruling oligarchs to have Total Information Awareness* over their subjects, the human cattle.§

As communications device manufacturers and telcos grow, they will inevitably be approached by intelligence agencies with offers they can’t refuse.  Either they cooperate and profit from compromising the security of their platforms, or misfortune may befall them.  It’s the easy way or the hard way.

The big story here is that Apple is going out in the open with it, attempting to profit from the intellectual “property” they’ve developed, most likely at the command of shadow government intelligence agencies.

The brazen nature of filing a patent for an intelligence agency AI trojan is significant.  As we move past the point of no return toward the New World Order, the shadow government devils will come out of the shadows, until ultimately when their drone armies are sufficiently powerful, they will wage a new World War on some manufactured threat in an effort to reduce our numbers and enslave us, in what they believe will be a utopian “re-wilding” of the Earth.

We need to stop deluding ourselves. When they bring this AI extermination grid online it’s going to be like shooting fish in a barrel.    Just do something, whatever you can. At the very least, stop  feeding it.  We still have the power to disable this thing using the free market and whatever is left of our free will.

Don’t take that job for Raytheon or Lockheed Martin.  Don’t sell your research to DARPA.  Don’t enlist in the military. Don’t support the corporations that are building the extermination grid.  Do use your powers for good and not evil.  Do work toward self-sufficiency and strengthen your family and local community.  Do protect your children from brainwashing.

Here’s the patent application:

What is claimed is:

1 . A method for identifying an unauthorized user of an electronic device, [This means the software will be running all the time.] the method comprising: determining that a current user of the electronic device is an unauthorized user; gathering information related to the unauthorized user’s operation of the electronic device in response to determining, wherein the unauthorized user’s operation comprises operations not related to the authentication; and transmitting an alert notification to a responsible party in response to gathering.

2 . The method of claim 1, wherein determining further comprises: determining the identity of the current user; comparing the determined identity to the identity of one or more authorized users of the electronic device; and detecting that the determined identity does not match the identity of at least one of the one or more authorized users.

3 . The method of claim 1, wherein determining further comprises: identifying a particular activity performed by the current user that indicates suspicious behavior. [device will be profiling your behavior]

4 . The method of claim 3, wherein the particular activity comprises one or more of hacking the electronic device, jailbreaking the electronic device, unlocking the electronic device, removing a SIM card from the electronic device, and moving at least a predetermined distance away from a synced device. [like an electronic house arrest tracking device]

5 . The method of claim 1, wherein gathering further comprises gathering one or more of screenshots, keylogs, communications packets served to the electronic device, and information related to a host device coupled to the electronic device.

6 . The method of claim 1, wherein the alert notification comprises a general message indicating that an unauthorized user has been detected.

7 . The method of claim 1, wherein the alert notification comprises at least a portion of the gathered information.

8 . The method of claim 1, further comprising: gathering information related to the identity of the unauthorized user in response to determining; and gathering information related to the location of the electronic device in response to determining.

9 . The method of claim 1, further comprising: restricting at least one function of the electronic device in response to determining.

10 . The method of claim 1, further comprising: transmitting sensitive data from the electronic device to a remote storage; and erasing the sensitive data from the electronic device.

11 . An electronic device operable to detect an unauthorized user of an electronic device, the electronic device comprising: a processor operable to: receive an input from a current user of the electronic device; determine the input is not associated with an authorized user of the electronic device; and record usage information of the electronic device in response to determining; and communications circuitry operable to transmit the usage information to a remote device.

12 . The electronic device of claim 11, further comprising: a microphone operable to record the voice of the current user; and wherein the processor is further operable to: compare the recorded voice with voice prints of authorized user of the electronic device; and determine that the recorded voice does not match the voice print of any authorized user of the electronic device.

13 . The electronic device of claim 11, further comprising: a heartbeat sensor operable to detect the heartbeat of the current user; and wherein the processor is further operable to: compare the detected heartbeat with heart signatures of each authorized user of the electronic device; and determine that detected the heartbeat does not match the heart signature of any authorized user of the electronic device.

14 . The electronic device of claim 11, further comprising: an input device operable to receive an authenticating input for authenticating a user of the electronic device; and wherein the processor is further operable to: determine that a predetermined number of successive incorrect authenticating inputs have been received.

15 . The electronic device of claim 11, further comprising: a camera operable to take a photograph of the vicinity of the electronic device; and positioning circuitry operable to determine current location information of the electronic device; and wherein the processor is further operable to: geotag the photograph by associating the photograph with the current location information.

16 . The electronic device of claim 11, further comprising: an accelerometer operable to record a vibration profile of the electronic device; and a signal processor operable to compare the recorded vibration profile with a library of vibration profiles to determine a current mode of transportation of the electronic device.

17 . A system comprising: an electronic device comprising; an input device operable to receive a password provided by a user; a camera operable to take a photograph of the user; a processor operable to: determine that a predetermined number of incorrect passwords have been successively received; direct the camera to take a photograph of the user; and generate an alert notification in response to the processor determining, wherein the alert notification comprises information related to the identity of the user and the photograph of the user; and communications circuitry operable to transmit the alert notification to a remote device.

18 . The system of claim 17, wherein: the camera is operable to take a plurality of photographs of the surroundings of the electronic device; and wherein the processor is further operable to: analyze each of the plurality of photographs to identify distinguishing landmarks in the photographs; and determine the location of each photograph based on the identified distinguishing landmarks.

19 . The system of claim 17, wherein the alert notification is transmitted via one of text message, facsimile, VoIP application, instant messaging application, on-line profile application, on-line blog application, and a cloud server.

20 . Machine-readable media for identifying unauthorized users of an electronic device, comprising machine-readable instructions recorded thereon for: determining that a current user of the electronic device is an unauthorized user; gathering information related to the unauthorized user’s operation of the electronic device in response to determining, wherein the unauthorized user’s operation comprises operations not related to authentication; and transmitting an alert notification to a responsible party in response to gathering.

21 . The machine-readable media of claim 20, further comprising machine-readable instructions recorded thereon for: determining the identity of the current user; comparing the determined identity to the identity of one or more authorized users of the electronic device; and detecting that the determined identity does not match the identity of at least one of the one or more authorized users.

* Total Information Awareness project was publicly scrapped.  However it would be naiive to assume that intelligence agencies gave up on being “totally aware” of everyone’s private information.

§ Nice job.  I hope you’re happy with yourselves.

See also: Report: Apple testing RFID swipe support in iPhone prototypes

Bot-like scanning/indexing from Lockheed Martin

whois 192.31.106.34?

[Querying whois.arin.net]

NetRange:       192.31.106.0 – 192.31.106.255
CIDR:           192.31.106.0/24
OriginAS:
NetName:        LM-192-31-106
NetHandle:      NET-192-31-106-0-1
Parent:         NET-192-0-0-0-0
NetType:        Direct Allocation
NameServer:     NS2.LMCO.COM
NameServer:     NS3.LMCO.COM
NameServer:     NS1.LMCO.COM
RegDate:        1997-06-17
Updated:        2001-09-26
Ref:            http://whois.arin.net/rest/net/NET-192-31-106-0-1

OrgName:        Lockheed Martin Corporation
OrgId:          LHMC
Address:        1401 Del Norte
City:           Denver
StateProv:      CO
PostalCode:     80221
Country:        US
RegDate:
Updated:        2010-01-21
Comment:        Unauthorized use of this system may be subject to disciplinary action, and
Comment:        if such use is violative of state and federal laws it may be subject to
Comment:        legal action as well. Reminder: Information transmitted to a foreign person
Comment:        on this network may be subject to US Export Control laws. Contact your
Comment:        Export Coordinator for assistance.
Ref:            http://whois.arin.net/rest/org/LHMC

OrgTechHandle: LMN-ORG-ARIN
OrgTechName:   Lockheed Martin Corporation
OrgTechPhone:  +1-303-430-2064
OrgTechEmail:  lm-nic@lmco.com
OrgTechRef:    http://whois.arin.net/rest/poc/LMN-ORG-ARIN

Related: Federal Bureau of Investigation Awards Lockheed Martin Biometric Card Scanning Service Contract

“We’re proud to continue our decade-long partnership with the FBI on the Card Scanning Service program,” Read more …

Facebook adds face detection for photos, only 1% of users have it so far

downloadsquad.com
by Jay Hathaway (RSS feed) Jul 2nd 2010 at 2:30PM

Facebook is testing out a new face detection feature in its photo app, according to AllFacebook.com. This is the first big change to Photos since Facebook bought up Divvyshot a couple of months ago. Face detection recognizes faces in photos, and gives you a prompt to tell FB whose faces they are. This reduces the amount of clicking required to go through and tag that huge album from last night’s party. Of course, this feature won’t help you identify the strangers who appear in those photos … that would be a bit creepy.

It doesn’t sound like this is full-on facial recognition and auto-tagging … yet. That seems like the obvious next step for Facebook, though. If they go that route, they’ll already have the ability to pick a face out of a photo, and then plenty of user data about who the faces belong to. Geez, it’s hard enough to untag my ugly mug in photos as it is!

If you don’t see face detection on your photos yet, don’t worry. Only 1% of users have it so far, according to Facebook.

Israeli team says it has developed software to spot depressed bloggers

Inventors say program could enable mental health workers to identify individuals in need of treatment and recommend they seek help.

(HAARETZ)   Israeli researchers have developed software that claims to identify depressed bloggers by analyzing their writing.

The program scours blogs for words and phrases, descriptions and metaphors that can indicate the writer’s psychological state.

The software’s initial test run, which was part of a research study headed by Professor Yair Neuman of Ben-Gurion University’s department of education, combed more than 1,000 blog posts written by American bloggers that were online in 2004.

As part of the research, the software was asked to determine what it perceived as the 100 “most depressed” bloggers and the 100 “least depressed.”

Neuman told Haaretz that the software diagnoses largely matched those of four clinical psychologists who made their own diagnoses based on the blog posts.

“We found an 80 percent match between the automatic identification mechanism of the software and the human diagnosis given by the psychologists,” Neuman said.

“A psychologist knows how to spot various emotional states through intuition,” he said. “Here we have a program that does this methodologically through the innovative use of ‘web intelligence.’”

Neuman said the software could enable mental health workers to identify individuals in need of treatment and to recommend that they seek help.

“What does all of this mean from a practical standpoint?” he asked. “First of all, it shows that the technology is here and available and that it could be put to use.”

“In the United States there is a wide-ranging problem with depression,” said Neuman. “Through this software it will be possible to contact a blogger and request a general examination of the contents of his blog. If the blogger agrees, he will know whether he needs to seek professional counseling for any possible distress.”

Neuman said the researchers had received permission to analyze the blog posts.

The research and development for the software was funded by the Defense Ministry, yet Ben-Gurion University officials said yesterday the project would not be used for military purposes.

The program is capable of spotting words that express various emotions, like the names of colors that the writer employs to metaphorically describe certain situations. Hence words like “black,” if combined with other terms that describe such symptoms of depression as sleep deprivation and loneliness will be recognized by the software as “depressive” texts.

The software can also spot love and vengefulness (or at least thinks it can ).

Men who write prose laden with imagery from nature as well as words like “fire” or “lightning” could be determined by the program to be in love, as could women citing poetry or words related to music.

“The software does not rely on a single context-dependent word, but on a series of words strung together, terms and images chosen by the writer,” said Neuman.

…

Neuman cautioned against utilizing the technology for corporate purposes.

“I will not be pleased if this is put to negative use, like advertising for a certain product,” he said. “But I am all for using it as a means to spot cases of emotional distress.”

must … delete …. facebook profile [udpated]

Facebook came after my time, and I learned better before getting entirely sucked into that. Ok scratch that.  I had a change of heart recently on this issue. I created a facebook app just for qbit.cc.  I don’t like using it for personal stuff but it can be useful for networking.

Friendster and Myspace were scary enough but Facebook’s ever-changing privacy agreement and DARPA/CIA connections have taken social data mining to a new level.  It would hardly be a surprise if every last bit of private data in all all our social network profiles were being integrated into Main Core.

When pondering the privacy implications of social networking, I envision a scenario where an Orwellian pre-crime system has determined that you are at risk of committing a crime, or some non-crime that you have “committed” in the past (blogging) retroactively becomes a crime, and the government uses private info from your social network sites to hunt you down.

I’m having a “Turn on, tune in, drop out” hippie moment.  For those of you saying “I’ve got nothing to hide, thus no reason to worry about having my private info on social networks.”  I wish I could tell you a story about being caught up in some drama, thru no fault of my own, and having my Myspace profile analyzed by a cop posing as a reporter.  But I’m no longer naiive enough to post private things in public places.

I’ve got nothing to hide… therefore the government has got no f’ing business accessing my private information.

Related:
Report: Facebook caught sharing secret data with advertisers (Ars Technica)

Fourth Amendment to the United States Constitution (Wikipedia)

Workers have daily smile scans

Telegraph
By Danielle Demetriou in Tokyo
Published: 1:23PM BST 06 Jul 2009

More than 500 staff at Keihin Electric Express Railway are expected to be subjected to daily face scans by “smile police” bosses.

The “smile scan” software, developed by the Japanese company Omron, produces a sweeping analysis of a smile based on facial characteristics, from lip curves and eye movements to wrinkles.

After scanning a face, the device produces a rating between zero to 100 depending on the estimated value of the fulfilled potential of a person’s biggest smile.

For those with a below-par grin, one of an array of smile-boosting messages will op up on the computer screen ranging from “you still look too serious” to “lift up your mouth corners”, according to the Mainichi Daily News.

A growing number of service industries are reportedly using the new Omron Smile Scan system for “smile training” among its staff.

Workers at Keihin Electric Express Railway will receive a print out of their daily smile which they will be expected to keep with then throughout the day to inspire them to smile at all times, the report added.