So I had researched it a while ago and don’t recall having found anything effective and non-suspicious to protect from public camera mass survaillence in cities and the like. Is there anything that is a good option for that yet, and if so, could you point me toward it?
I asked Andi
Recent advances in facial recognition technology have sparked development of various counter-surveillance clothing and accessories. These anti-surveillance methods fall into several key categories:
Physical Alterations and Clothing
- Patterned clothing with complex designs that confuse facial recognition algorithms[1]
- Reflective materials that bounce back infrared light used by security cameras[1:1]
- Special scarves and hoodies designed to break up facial features[1:2]
- The “Camera Shy Hoodie” with embedded IR LEDs that overexpose security camera footage[2]
- Cap_Able brand clothing with patterns designed to deceive recognition systems[3]
Technical Solutions
- Infrared LED glasses that blind facial recognition cameras while remaining invisible to human eyes[1:3]
- Anti-surveillance devices that emit signals to interfere with camera sensors[1:4]
- Reflectacles privacy eyewear that blocks IR cameras[4]
Professional Applications
- Small reflective dot stickers used for motion tracking and high-speed camera detection[5]
- Camera obscura techniques used by photographers and artists[6]
Law Enforcement Concerns
- Police forces are expanding use of facial recognition vans and technology[7][8]
- Civil liberties groups argue the technology shows racial bias and privacy concerns[9]
- West Yorkshire’s Crime Commissioner states that facial recognition data “will not be stored”[7:1]
Sources:
Luxand - How to Fool and Avoid Facial Recognition in Public Places ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Maker Faire Rome - Fabric to deceive facial recognition systems ↩︎
BBC - ‘Facial recognition can make mistakes, it’s not a decision-maker’ ↩︎ ↩︎
Facebook - Digital face recognition camera van in Albany Rd ↩︎
Yahoo/Telegraph - Facial recognition cameras at Notting Hill Carnival ‘are racially biased’ ↩︎
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