YOU've Become A Computer's Plug-In App

[Hervé]

Hello Biometrics: Windows 10 to Add Facial Recognition, Iris Scans and Fingerprint Reader

Source Nicholas West Activist Post

After several years of consumer complaints, Microsoft Windows 10 has been getting a lot of attention as of late for many upgrades slated for their new version of the popular operating system.

However, it appears that one feature being added to supposedly consumer-friendly applications is a suite of biometrics called Windows Hello and Windows Passport.

It's all a part of the move toward a full-fledged Smart World where YOU become the password in a matrix of online and real-world activity.

Naturally, the fear of identity theft and cyber crime of all stripes has been the sales pitch to accept this new pervasive identity tech. Apple's Touch ID was introduced in iPhone 5 which employed a fingerprint scanner for phone locking as well as to make purchases in Apple stores.

Yet, it didn't take long for this new ultra-security measure to be hacked. As Melissa Melton reported:

The new iPhone 5’s fingerprint ID security feature lasted all of what amounts to not even five minutes in the tech world — Chaos Computer Club is already reporting that they were able to hack the new phone:

The biometrics hacking team of the Chaos Computer Club (CCC) has successfully bypassed the biometric security of Apple’s TouchID using easy everyday means. A fingerprint of the phone user, photographed from a glass surface, was enough to create a fake finger that could unlock an iPhone 5s secured with TouchID. This demonstrates – again – that fingerprint biometrics is unsuitable as access control method and should be avoided. [emphasis added]

[...]

At the 2012 Black Hat hackers conference, hackers were able to successfully demonstrate a program that could easily fool iris scan security systems using recreated irises from images stored in existing iris scan databases.

Hacking risks already have been exposed in smart vehicles, smart cars, and even smart weapons(!!), so this seems to be par for the course. Beyond the hacking risks, though, there is our lovely government, which continues to prove that it will do anything and everything to track our every move.

Online biometrics is a totalitarian dream of removing all anonymity during even the most casual computer interaction. We've already seen electronics warnings about keeping personal conversations quiet around smart TVs. What can we expect to happen when all of the items around us are connected to the Internet, and our bodies have become the sole password that connects us to the central database? It raises the spectre of simple monitoring of all health, consumer activity, environmental compliance, and pretty much every movement anywhere.

Please watch the following Windows Hello and Passport promo to catch a glimpse of the early stages for what could become a much wider rollout of Smartworld ID profiling.

Source: https://youtube.com/watch?v=1AsoSnOmhvU

Nicholas West writes for Activist Post and Tech Swarm. This article is free to republish in full with attribution.

[Daughter of Time]

Well, this is all very interesting!

I don't know whether I like it or hate it!

However, unless one can use any of the three for the same computer: facial, fingerprint, and iris, then it is not foolproof.

If an injury, even a small cut, happens to the finger or the face, it would no longer be readable.

The iris changes according to a person's health. This is especially true for people with blue eyes.

I've seen people with blue eyes who once plagued with cancer, their eyes went from blue, to green, to hazel, to grey, to brown, to black!

I've also witnessed murky brownish hazel eyes turn blue again after long, full, complete detoxification of the body.

If a single organ in the body becomes diseased, then only a portion of the iris would change color.

I could go on and on about this but I realize this thread is not about iridology, but about technology. Apologies if you don't find this relevant.

It surprises me that these people go so far in technological advancements but do not realize that their inventions have holes.

[Michael Moewes]

Linux Mint, cinnamon !!!

[Ioneo]

Welcome to the Machine.

[Cidersomerset]

Heres a reason straight away to be wary of this , the technology
was designed by an Israeli company , so we know who else will
have access to all this......

TRAINING THE DEEPFACE TOOL

DeepFace uses technology designed by an Israeli startup called face.com.

Facebook bought the startup in 2013 and developed the facial recognition
tool with support from face.com's Yaniv Taigman at its Artificial Intelligence lab.

The researchers used the software to build a 3D model of a face from a photo
that can be rotated into the best position for an algorithm to begin searching
for a match. After creating a model, the team used a neural network that had
been trained on a database of faces to try and match the face with one in a test
database of more than 4 million images, containing more than 4,000 separate
identities, each one labelled by humans. ts creators said DeepFace finds a match
with 97.25 per cent accuracy.
.

Google claims its ‘FaceNet’ system has almost perfected recognising
human faces – and is accurate 99.96% of the time

Friday 20th March 2015 at 10:23 By David Icke




=================================================




Google claims its 'FaceNet' system has almost perfected recognising
human faces - and is accurate 99.96% of the time
Facebook's rival DeepFace uses technology from Israeli firm face.com
DeepFace finds a matching face with 97.25% accuracy
Google researchers call their system the most-accurate technology
System could be used to automatically recognise photos on Google+

By Mark Prigg For Dailymail.com

Published: 20:46, 19 March 2015 | Updated: 07:44, 20 March 2015


‘Facebook and Google have been involved in an algorithm war to come
up with the perfect facial detection system.Now Google has claimed the
latest victory, saying its new FaceNet system is practically perfect –
getting the right person 99.96% of the time.


Google's new FaceNet system is practically perfect - getting the right person
99.96% of the time - here, it shows the variety of lighting condition it can overcome

Google researchers call their system the most-accurate technology
available for recognizing human faces.In the paper, titled ‘FaceNet: A
Unified Embedding for Face Recognition and Clustering’, Google claims
the system achieved nearly 100-percent accuracy rate on the facial
recognition dataset Labeled Faces in the Wild.’


The dataset uses more than 13,000 face images from the Internet to
measure how accurate the algorithms are at verifying whether two
images are of the same individual.'Our method uses a deep convolutional
network trained to directly optimize the embedding itself, rather than an
intermediate bottleneck layer as in previous deep learning approaches,'
the researchers say.'To train, we use triplets of roughly aligned
matching / non-matching face patches generated using a novel online
triplet mining method.

'The benefit of our approach is much greater representational efficiency:
we achieve state-of-the-art face recognition performance using only
128-bytes per face.

'On the widely used Labeled Faces in the Wild (LFW) dataset, our system
achieves a new record accuracy of 99.63%.

'On YouTube Faces DB it achieves 95.12%. Our system cuts the error rate
in comparison to the best published result by 30% on both datasets.

FaceNet was trained on an enormous 260-million-image dataset and
performed at an 86 percent and higher accuracy rate.

Last year, a team of Chinese researchers claimed to have achieved better
than 99 percent accuracy.

In the June 2014 paper, Facebook researchers said that humans analyzing
images in the Labeled Faces dataset are only able to achieve 97.5 percent
accuracy.However, Google researchers went beyond simply verifying
whether two faces are identical by also attaching a name to a face.




Google's system first clusters photos into a collection of similar faces

Taking a classic facial recognition approach, the researchers went as
far as organizing the images into groups of faces that look the most
similar or the most distinct.

When Google's FaceNet and Facebook's 'DeepFace' are eventually
integrated into their company's web platforms, it is believed they
will automate the process of tagging photos and searching for people
and will also make it easier for web companies to analyze their users'
social networks and to assess global trends.



FaceNet was trained on an enormous 260-million-image dataset and
performed at an 86 percent and higher accuracy rate. These were the
only images it did NOT get right.

Facebook's technology - called DeepFace - was first showcased last
March, but the site has now started rolling out the automatic tagging
tool to select users.

DeepFace uses technology designed by an Israeli startup called face.com.

Facebook bought the startup in 2013 and developed the facial recognition
tool with support from face.com's Yaniv Taigman at its Artificial Intelligence lab.

The researchers used the software to build a 3D model of a face from a
photo that can be rotated into the best position for an algorithm to begin
searching for a match.

After creating a model, the team used a neural network that had been
trained on a database of faces to try and match the face with one in a
test database of more than 4 million images, containing more than 4,000
separate identities, each one labelled by humans.

Its creators said DeepFace finds a match with 97.25 per cent accuracy.





Facebook's DeepFace technology uses a 3D model to virtually rotate faces so that
are facing the camera. Image (a) shows the original image, and (g) shows the final,
corrected version which the software then attempts to recognise

The tagging option has now started appearing in the privacy settings of
accounts globally - although in many cases it says the feature is
'unavailable' - but a number of users have reportedly been given the tool.

Taylor Hatmaker at The Daily Dot, for example, said that she recently
tested the feature using an album of 15 photos.None of the images had
been shared previously, and Facebook identified and automatically
tagged faces in eight of the photos.Only one tag was incorrect, and the
images it didn't offer suggestions for were 'taken in dark rooms' or
were blurry.

A test using real people recruited on Amazon's Mechanical Turk crowdsourcing
site achieved 97.5 per cent accuracy.Security researcher Lee Munson said:
'The social network plans to use the system to identify its users in new photos
as they are uploaded.


TRAINING THE DEEPFACE TOOL


DeepFace uses technology designed by an Israeli startup called face.com.

Facebook bought the startup in 2013 and developed the facial recognition
tool with support from face.com's Yaniv Taigman at its Artificial Intelligence lab.

The researchers used the software to build a 3D model of a face from a
photo that can be rotated into the best position for an algorithm to begin
searching for a match.

After creating a model, the team used a neural network that had been
trained on a database of faces to try and match the face with one in a
test database of more than 4 million images, containing more than 4,000
separate identities, each one labelled by humans.

Its creators said DeepFace finds a match with 97.25 per cent accuracy.
.





Read more: Google claims its 'FaceNet' system has almost perfected recognising human faces – and is accurate 99.96% of the time

Read more: http://www.dailymail.co.uk/sciencete...#ixzz3UxU2RHxv
Follow us: @MailOnline on Twitter | DailyMail on Facebook

[Tesla_WTC_Solution]

Posted by Hervé (here)
Hello Biometrics: Windows 10 to Add Facial Recognition, Iris Scans and Fingerprint Reader

Source Nicholas West Activist Post

After several years of consumer complaints, Microsoft Windows 10 has been getting a lot of attention as of late for many upgrades slated for their new version of the popular operating system.

However, it appears that one feature being added to supposedly consumer-friendly applications is a suite of biometrics called Windows Hello and Windows Passport.

It's all a part of the move toward a full-fledged Smart World where YOU become the password in a matrix of online and real-world activity.

Kudos to a very brave moderator for posting this thread,

sorry to offend the non-religious,
but here is a bit of information on our times:

The Mark of the Beast
Revelation 13
16 And he causeth all, both small and great, rich and poor, free and bond, to receive a mark in their right hand, or in their foreheads:

17 And that no man might buy or sell, save he that had the mark, or the name of the beast, or the number of his name.

18 Here is wisdom. Let him that hath understanding count the number of the beast: for it is the number of a man; and his number is Six hundred threescore and six.

p.s. the tom cruise film Minority Report showed how biometrics (even advanced ones) can be hacked by bypassing certain of the expectations of the system it gives rise to a whole new crime industry, gross!



and no, tc is not the ac lol

p.s. has anyone's computer made a "docking" noise when you pass by, come and go, get near it etc ...

http://blogs.discovermagazine.com/sc.../#.VQy3SvnF9wU

[Cidersomerset]

This article was on David Ickes site earlier in the week....

Minority Report (2002) esoteric analysis – pre-crime is now here

Tuesday 17th March 2015 at 07:53 By David Icke

========================================





Minority Report (2002) esoteric analysis – pre-crime is now here!

March 15, 2015 3:51 pm
By Jay | Jay’s Analysis





‘Spielberg’s Minority Report is now an important film to revisit. Based
on the short story by visionary science fiction author Phillip K. Dick,
Spielberg’s film version implements an important number of predictive
programming elements not found in Dick. Both are worth a look, but
the film is important for JaysAnalysis, since now 13 years later, we are
actually seeing the implementation of the total technocratic takeover,
including pre-crime tracking systems.

Although the film and the short story present the precognition as a
metaphysical mystery by telepathic individuals who can see into the
aether, the real pre-crime systems are based on A.I. and the digitizing
of all records under total information awareness. And as I’ve said, this
was DARPA’s plan for the Internet all along.

In fact, a good friend of mine worked for a few years digitizing mass
medical records, and while most are aware of Google’s attempts to
digitize all books, most do not know why. I’ve warned for several years
now the end goal of all this digitization is not for “efficiency” and trendy
techy cool iWatches to monitor heart rates and location. The ultimate
goal is total mind control, loss of free will and the complete rewrite of
all past reality.’


Predictive Cities ......

SmarterCities Rio | Ginni Rometty Discusses How to Build a Smarter City

https://www.youtube.com/watch?v=DKmj7nlQndg


Read more: Minority Report (2002) esoteric analysis – pre-crime is now here
https://www.intellihub.com/minority-...e-is-now-here/

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Students Forced to Submit to Facial Recognition Scanner in Order to Take Tests

Wednesday 18th March 2015 at 09:24 By David Icke

Source: https://youtube.com/watch?v=gu8x1AkPuw8