October 3, 2022

Blog @ Munaf Sheikh

Latest news from tech-feeds around the world.

werteloberfell develops an AI-fooling poncho to confuse CCTV algorithms


werteloberfell’s shield against AI 

 

since it was first developed in the mid 20th century, CCTV (closed-circuit television) has become a ubiquitous sight in towns and cities across the globe. according to a report by industries researcher IHS markit in 2019, there are now 1 billion CCTV cameras in the world. however, these days modern CCTV doesn’t just record video footage, it also uses artificial intelligence with human detection and facial recognition algorithms to track our behavior and our emotions.

 

to protect people against this increased surveillance, german design studio werteloberfell has collaborated up with a team of technical partners to create apparel that messes with AI algorithms. the team’s first prototype takes shape as a glowing poncho called ‘ignotum’, which is latin for ‘the unknown’. 


images courtesy of werteloberfell

 

 

THE DESIGN PROCESS

 

to create ignotum, the team had to first understand how CCTV with AI systems work. werteloberfell explains, ‘together with markus mau from studio moux, we determined that normally these systems work in a three-step process: to begin with, the AI filters out human beings from other objects in the scene by slicing the image in little tiles, analyzing contrast values within those, and then calculates the probability of recognition. it then applies a virtual skeleton to the found persons for better tracking of movement, after which high-quality facial images are sent to a server for deep analysis.’

after understanding how the AI works, they rigged up their own AI-enhanced camera system to find out which patterns would go undetected. eventually, the team found that a glowing grid pattern worked best to confuse the computer, indicating only ‘33% person’. 

ignotum ai confusing poncho 10
the final testing showed the poncho’s effectiveness in confusing the AI

 

 

THE FINAL PONCHO PROTOTYPE

 

the working prototype was realized mixing traditional tailoring, 3D printing and state-of-art electronics to textile bonding technologies. the final poncho integrates PCBs (printed circuit boards) and LEDs, which were created together with fraunhofer IZM. the final design utilizes light guides printed directly onto the textile of a poncho garment—a style chosen for its simplicity and versatility.

 

the poncho is composed of three layers. a base layer gives the whole garment its basic stability, a tech layer includes the printed circuit boards, the textile cable and the LEDs, all of which are covered by a moiré layer for an additional optical illusion effect.

werteloberfell develops an AI-fooling poncho to confuse CCTV algorithms
the poncho is made up of three layers

 

 

A NEW KIND OF FASHION STATEMENT

 

‘ignotum is about confusing artificial intelligence (AI) that is used to analyse CCTV footage,’  says werteloberfell. ‘it is gaining personal information of filmed people like gender, age, emotional state and sexual preferences, some of them with very high accuracy. in recent years, these technologies have been finding their way into spaces of retail and are supposedly used for a better shopping experience. it can also be used for better sales by analyzing the emotional state of customers. we find this development questionable and with our project, the wearer gets to choose when to be visible to these technologies.’

 

not a commercial product, ignotum aims to raise awareness of AI-powered CCTV surveillance, and the agency technology can provide. the project was designed as part of the Re-FREAM consortium, a horizon 2020 project funded by the EU. Re-FREAM is about connecting people from different fields and backgrounds to work together in connecting fashion with technology. to create ignotum, werteloberfell worked together with technical partners from the fraunhofer IZM, stratasys, profactor and empa.

werteloberfell develops an AI-fooling poncho to confuse CCTV algorithms
the layers are all interlaced with power cables, PCBs, LEDs and light fibers

ignotum ai confusing poncho 11
the final design render

 

 

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werteloberfell develops an AI-fooling poncho to confuse CCTV algorithms

 

CCTV is inconspicuous but increasing common

CCTV is inconspicuous but increasing common

some CCTV have AI on board that can recognize humans from other objects. they learn this via machine learning. it can be used for security reasons, but also marketing.

some CCTV have AI on board that can recognize humans from other objects. they learn this via machine learning. it can be used for security reasons, but also marketing.

the design team tested hundreds of patterns against a modern AI recognition algorithm, trying to stop it from reading the digital mannequin as a person

the design team tested hundreds of patterns against a modern AI recognition algorithm, trying to stop it from reading the digital mannequin as a person

once they found some working designs, they started real-world testing, first just with sticky tape, which didn't really stop the AI

once they found some working designs, they started real-world testing, first just with sticky tape, which didn’t really stop the AI

the team found that a very angular grid worked best to confuse the AI

the team found that a very angular grid worked best to confuse the AI

fabrication of the poncho prototype

fabrication of the poncho prototype

all the electronics are protected by 3D printed housings. to ensure serviceability, all of them are designed to be reopenable.

all the electronics are protected by 3D printed housings. to ensure serviceability, all of them are designed to be reopenable.

project info:

 

name: ignotum

project team:
werteloberfell: jan wertel, max krenn
fraunhofer IZM: christian dils, max marwede, robin hoske, lars stagun, dr. rafael jordan, kamil garbacz, sebastian hohner
stratasys: naomi kaempfer, yossi siso
empa: agnes psikuta
profactor: pavel kulha
wear it: ioana puscasu, manon montant
other collaborators: markus mau, mira thul-thellmann, tim schütze

 

designboom has received this project from our DIY submissions feature, where we welcome our readers to submit their own work for publication. see more project submissions from our readers here.

 

edited by: lynne myers | designboom



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