Cap_able blocks facial recognition software with knitted clothing

Italian fashion start-up Cap_able has launched a collection of knitted clothing that protects the wearer's biometric data without the need to cover their face.
Named Manifesto Collection, the clothing features various patterns developed by artificial intelligence (AI) algorithms to shield the wearer's facial identity and instead identify them as animals.
Cap_able designed the clothing with patterns ? known as adversarial patches ? to deceive facial recognition software in real-time.
The garments are designed to protect the wearer's biometric data without the need to cover their face
The collection includes jumpers, t-shirts, trousers and dresses that are knitted from 100 per cent Egyptian cotton quality by Filmar, a brand that adheres to the Better Cotton Initiative (BCI), according to Cap_able. According to Didero, the Manifesto Collection aims to raise awareness of the right to biometric data privacy, which is an issue she says that is "often underrepresented despite affecting the majority of citizens around the world".
Didero and Busani believe that facial information should be thought of in the same way as information gained from DNA and fingerprints.
Cap_able is an Italian start-up
The duo's garments aim to stimulate discussion on protection from non-ethical use of facial recognition cameras, which would have an impact on people's expression and movement in public spaces.
"In a world where data is the new oil, Cap_able addresses the issue of privacy, op...
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