Fashion designer and professional data networks hacker Kate Ross has succeeded in developing clothes capable of misleading surveillance cameras, where the image of the person wearing the clothes, appears as a car in the camera recording.
These costumes were covered with pictures of car number plates that trigger automated reading systems and injected this data into systems, which are used to monitor and track citizens.
Automated plate reading systems, usually located on street poles, street lights and bridges over highways, use surveillance cameras and image recognition devices connected to telecommunications networks to track the license plate numbers with the location, date and time of the vehicle´s presence.
Fashion designer and hacking professional Kate Ross showcased her innovative outfits at the Dev Con Information Security Conference in Las Vegas, noting that she was inspired by a conversation with a friend who works with Electronic Frontier Foundation about the inaccuracy of many devices. Read paintings in police cars.
The new designer underscores the need to make computer-based surveillance systems less widespread and make them harder to use without human supervision.
"Anyone walking on the side of the road or passing through a pedestrian crossing area is often very close to a car-reading device, which usually covers a wide field of view, but has problems with its accuracy," she said.
The new fashion group is experimental, "but I worked hard to make sure it would work on the streets during the day," so that surveillance cameras could not photograph the person wearing it, she said.
The new fashion collection includes shirts, jackets, dresses and blouses, covered with pictures of modified car plates, and other circular patterns.
The price per piece of these clothes ranges between 25 and 50 dollars.
TechNet.com said that when choosing clothing size, the focus should not only be on the fit of the person but also on ensuring the maximum clarity of the panels in order to effectively mislead the surveillance cameras.