The movement against facial recognition: how to escape from a surveillance camera

The movement against facial recognition: how to escape from a camera Surveillance


If you wanted to prevent your face was captured and stored in a huge database, what would you do?

technology for face recognition has become ubiquitous . From our photos on Facebook up security cameras at airports are consenting feature of security systems worldwide, submerging deeper and deeper into the bowels of an Orwellian dystopia.

The face recognition works through algorithms that identify facial features from an image or video of a person’s face . An algorithm can analyze the relative location, shape and size of certain features, such as eyes, nose, mouth, chin and cheekbones, and then compare them with a search for other images to find similar characteristics. Anyone who has received suggestions from Facebook or Google to label your own face or that of your friends in a picture may have felt a slight shiver run down his spine. The machines know who we are.

Several organizations related to privacy, as the EFF have I expressed concern regarding the use of this and other technologies mass surveillance. The ability to know the location and activities of all people at all times can be used to prevent the lawful exercise of citizens’ rights, and can lead to self-censorship and abuse of power by governments. Moreover, the ability to associate this data with the vast amount of information other than store security systems and social networking services, build an immense database could be abused both by governments and by technology companies.

Camouflage for face detection

For several years, various attempts to transfer or disable the software used for facial recognition have had mixed results . In 2010, Adam Harvey , a student at the University of New York, presented a thesis in which he used makeup and simple accessories such as glasses, veils and artificial to combine fashion aesthetic reverse engineering software face detection hair. He found, for example, that a widely used algorithm could be less accurate when using makeup , specifically dark patterns around the eyes and cheeks, asymmetrical designs. Later, Harvey developed a product line of “camouflage” for face recognition, which can be explored and downloaded on the project website.

A solution of high technology was created by the National Institute of Informatics in Japan : spectacles called PrivacyVisor , containing 11 LED lights whose wavelengths are near infrared light and can be turned on when users want their faces are not detected by the system. They generate differences in brightness in the eyes that make the systems fail, while remain invisible to the human eye .

More recently, the artist Leo Selvaggio has presented a project called “Prosthetic identity security personnel “( URME , for the acronym). The prosthesis is a mask, A hyper-realistic three-dimensional recreation ** 3D printed face Selvaggio **, which allows other people “assume their identity” and thereby protect their own. The idea behind the project is not hidden, but flood the system with information, that is, with copies of his face, to thereby create disinformation.

shed his own face to deliver it to others, Salvaggio may also be taking steps in another interesting topic that is of special interest, exploring the concept of identity href=”http://hipertextual.com/tag/identidad”> : Once your “I” is dispersed in thousands of faces around the world, Who is really that “I”


Hipertextual

The movement against facial recognition: how to escape from a surveillance camera
Source: english  
October 5, 2015


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