A man wearing a vibrant sweater and jeans
The Manifesto Collection was designed to highlight the value of privacy.
  • An Italian startup has created a clothing line that aims to trick facial-recognition cameras.
  • It uses patterns created by algorithms to fool cameras into thinking the wearer is not human.
  • The clothes can make you look like a giraffe, zebra, or dog in the eyes of surveillance cameras.

Facial-recognition technology is everywhere. It's used by police, airports, supermarkets, stadiums, and more — and it's making some people fear that governments or big companies could use our data in malicious ways.

In response, privacy-focused designers have tried to create things we can wear that outsmart facial-recognition technology. The Italian startup Cap-able is the latest to join this trend.

Many options for helping people outsmart facial-recognition involve wearing a mask, but the Italian fashion startup Cap-able aims to do the same thing without the need to cover your face.
Eight models pose against grey walls in Cap_able's vibrant knitted garments
Cap-able says it aims to "combine fashion design and technology."
The Turin startup was set up by Rachele Didero, who learned about facial-recognition technology while studying at the Fashion Institute of Technology in New York, and Federica Busani.
Cap_able's cofounders Rachele Didero and Federica Busani, dressed in black.
Rachele Didero, left, and Federica Busani.
The Manifesto Collection — Cap-able's inaugural project — went on sale last month after nine months of research and testing. It says it uses animal-based patterns to deceive facial-recognition software.
One image of a woman wearing vibrant trousers from Cap_able and one image of the trousers' pocket

Source: Dezeen

Busani told Insider she believed "biometric surveillance is a threat to the freedom of expression, movement, association."
Federica Busani holds a film camera in a city
The patterns were developed by an artificial-intelligence algorithm. They incorporate animal-inspired shapes — which the brand calls "adversarial patches" — with the goal of tricking software into classifying the wearer's body as an animal.
A man and a woman wear vibrant Cap_able outfits in a cityscape
Some of the company's clothes.
The fabric was patented in 2021 with the sponsorship of Polytechnic University of Milan.
The Politechnico di Milano — a grand, old building with large windows.
Being identified as an animal often stops facial-recognition software from starting to begin analyzing, collecting, and storing your biometric data, the company says.
Facial recognition software analysis of people dressed in Cap_able's vibrant outfits shows detection as giraffes
The garments are intended to protect wearers' biometric data.
The garments have been designed to outsmart real-time surveillance video in public urban environments.
A woman walks through city streets wearing one of Cap_able's knitted garments under a brown jacket
The garments are designed to trick facial-recognition cameras in public places.
The Manifesto Collection includes sweaters, hoodies, trousers, and dresses.
People wearing vibrant green, brown, and pink knitted trousers
Cap-able has produced knitted trousers, as well as sweaters and hoodies.
The garments are made from 100% Egyptian cotton. The company adheres to the Better Cotton Initiative, which supports cotton-growing communities.
A woman stands in front of a sewing machine holding yarn
Filmar adheres to the Better Cotton Initiative.

Source: Cap-able

The clothes can be shipped worldwide — but they come at a steep price. This knitted hoodie, currently discounted, costs 420 euros, or about $450.
A vibrant knitted sweater with green accents
A Cap-able sweater.
Surveillance technology is becoming increasingly common. A 2016 study by Georgetown University found that more than half of Americans' faces were logged in police databases — and that number has likely grown.
NYPD Security Cameras

Source: Georgetown University

Cap-able told Insider it had sold about 70 items so far — mostly in the US, the UK, and Italy.
A man climbs a wall wearing a vibrant sweater and blue jeans
The clothes are made of Egyptian cotton.
"The easiest markets to tackle are certainly the ones where the topics of biometric surveillance are already discussed, like the US or UK," Busani told Insider.
A woman wears a knitted shortsleeved t-shirt with a dog-based print
This short-sleeved sweater is intended to make facial-recognition cameras think you're a dog or a giraffe.
They raised money through a crowdfunding campaign on Kickstarter and their website. Its cofounders have full-time work outside Cap-able, but they're hoping to build the startup's income and influence by sharing their designs with other brands.
A screenshot of Cap_able's Kickstarter page, which shows that it has received 36 backers who pledged a total €5,309
The team at Cap-able said it tested its designs using YOLO, an algorithm for real-time object detection.
Facial recognition software analysis of people dressed in Cap_able's vibrant outfits shows one person identified as a giraffe with 43% confidence
The team tested the designs using YOLO.

Source: DataCamp

YOLO, which stands for "you only look once," is an open-source image-detection system that has been used in industries including healthcare. It locates individual objects and guesses what they might be.
A doctor checks endoscopy results on a computer screen

Source: DataCamp

Busani said at least 60% of people wearing the collection during testing were not detected as humans and instead identified as animals — including zebras, giraffes, and dogs. "Our garments are not infallible, and we work every day to improve the technology," Busani said.
Four people wearing Cap_able's vibrant outfits stand in a line and are reflected in the water
The designs might be flashy, but they're intended to be more wearable than other options.
The accuracy of facial-recognition software depends on factors, including how fast you're moving, how close you are to the camera, how light it is, and what's in the background. Algorithms are being developed to overcome anti-facial-recognition tools, so it could get tougher to outsmart them.
Facial recognition software analysis of someone dressed in Cap_able's vibrant outfit, which has 49& 'Zebra confidence,' compared with someone clad in ordinary clothes, which has 55% 'Person confidence'
The software's accuracy depends on factors like motion, light conditions, and proximity.
Cap-able's website says: "The Manifesto Collection's intent is not to create an invisibility cloak, rather, it is to raise awareness and protect the rights of the wearer wherever possible."
Two images of Rachele Didero taking measurements of her garments and making adjustments.
They're not the first clothes to try to trick facial-recognition software, but Cap-able wants its products to be more wearable than previous incarnations.
A man wears a vibrant hoodie and stands against a multi-coloured psychedelic background
Cap-able calls its patterns "adversarial patches."
Insider previously collected a list of designs intended to outsmart facial recognition — including a lens-shaped mask and goggles fitted with LEDs.
A man wears googles with purple LED lights

Source: Insider and National Institute of Informatics

Check out the rest of the designs here.

Read the original article on Business Insider