Cannes Lions

CamouFlags

VIRTUE WORLDWIDE, New York / VICE / 2023

Presentation Image
Demo Film
Supporting Images

Overview

Entries

Credits

Overview

Background

Qatar has ordered 15,000 new surveillance cameras for the World Cup, and now has a total of 250,000 cameras with built-in facial recognition monitoring visitors day and night.

This isn’t just problematic because Qatar's has a problematic relationship with human rights and offers very little legal certainty. It’s also deeply problematic from a privacy standpoint, because there is no transparency about what data is collected, what it is used for and who subsequently gets access to your most valuable identifier: Your face.

Idea

Insight:

You can prevent facial recognition with costumes and make-up based on geometric disguises. But these need to be so radical that the very things that fool the algorithm look conspicuous to the human eye. You might hide from the AI; but you will attract even more attention from guards and observers!

Unless, of course, you can make the disguise itself blend in with your surroundings...

IDEA

Camouflags — Anti-surveillance patterns fashioned like football fans' face paint.

The series of designs are visually based on the flags of the participating countries, but the patterns are developed, based on, and tested against facial recognition technology's blind spots.

Strategy

INSIGHT:

You can prevent facial recognition with costumes and make-up based on geometric disguises. But these need to be so radical that the very things that fool the algorithm look conspicuous to the human eye. You might hide from the AI; but you will attract even more attention from guards and observers!

Unless, of course, you can make the disguise itself blend in with your surroundings...

Execution

We developed the patterns by turning artificial intelligence against itself.

We fed the midjourney algorithm images of verified anti-surveillance patterns and asked it to imagine them as flags of different countries.

We tested the output against various open-source machine learning models (e.g. Google's FaceNet and DeepFace), selected the best performing ones and fed them back again. We repeated this looping feedback process until the patterns broke the algorithm.

The result was launched as both an inspiring photo series, gonzo journalistic experiment and interactive tutorial through SparkAR filters in Instagram — and kicked off a global conversation about data security, surveillance and facial recognition.

Outcome

With global coverage ranging from Business Insider to CNN, Camouflags didn't just give a tool to VICE's audience — it made VICE lead the media conversation on privacy and facial recognition.

"Having such a strikingly visual innovation at the core of the story gave us a really interesting, captivating way in which to talk about surveillance tech.

It led to a healthy — and provocative — discussion about the problems of facial recognition and what fans can do to resist."

John Montoya, Senior Audience Director, VICE UK.

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