3D-Printed Masks optimized for Facebooks Facial Recognition

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Sterling Crispin baut aus Face-Detection und genetischen, „lernfähigen“ Algorithmen 3D-gedruckte Masken, die optimiert sind für Facebooks Gesichtserkennung. Das Gegenteil von Techno-Paranoia als künstlerische Erforschung der „Sicht“ des Überwachungsapparats. Großartig!

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Theoretically, I am concerned with the aggressive overdevelopment of surveillance technology and how this is changing human identity and how humanity interacts with technology. By technology I mean individual instances of technological devices and networked systems like cameras and software, but also what I identify as the ’Technological Other’, a global living super-organism of all machines and software. Technically, my specific focus has been in reverse engineering facial recognition, facial detection, and image correlation techniques in order to reveal how they represent human identity.

This research has resulted in the production of a series of 3D printed face masks which were algorithmically evolved to satisfy facial recognition algorithms. It is important to understand the the goal of creating these masks isn’t to defeat facial recognition or provide something undetectable, simply covering your face with your hand will do that. Rather, my goal is to show the machine what it’s looking for, to hold a mirror up to the all-seeing eye of the digital-panopticon we live in and let it stare back into its own mind.

Sterling Crispin: DATA-MASKS – Facial recognition, genetic algorithms, 3d printed masks (via Stacktivism)

Testreihen auf Facebook: Facial Recognition Testing on Facebook - Work in Progress

Matter: This Is What Your Face Looks Like to Facebook – Artist Sterling Crispin’s “Data Masks” remind us the machines are always watching.