Facial Recognition: a T-shirt to hide from cameras

Some shirts hide you from cameras—but will anyone wear them?
Ars Technica | April 10, 2020

It’s theoretically possible to become invisible to cameras. But can it catch on?

Interesting read.


As use of surveillance systems grows and becomes endemic globally, designers worldwide are rising to meet the challenge in a variety of ways. Some, like sunglasses or infrared-blocking scarves, may be able to go mainstream quickly if mass-produced. Others, including Goldstein’s “cloaks” or similar shirts made by a team of researchers from Northeastern University, IBM, and MIT, are a whole lot less likely to catch on.

The trick to expansion is threefold. First, people have to be interested in wearing adversarial designs. Second, the design actually has to work as intended. And third: the design has to be something you wouldn’t mind being seen wearing while also, ideally, being good-looking enough that others will want to wear it, too.

Author = Kate Cox (Ars Technica)


Mobile Security: Facial Recognition in China

China due to introduce face scans for mobile users
BBC | December 01, 2019

Interesting to check on what is done elsewhere in terms of mobile security & access. China is light years ahead in terms of Facial Recognition.

(…) How widespread is facial recognition in China?
China is often described as a surveillance state – in 2017 it had 170 million CCTV cameras in place across the country with the goal of installing an estimated 400 million new ones by 2020.

The country is also setting up a “social credit” system to keep score of the conduct and public interactions of all its citizens in one database.

The aim is that by 2020, everyone in China will be enrolled in a vast national database that compiles fiscal and government information to give a “ranking” for each citizen.

Facial recognition plays a key role in the surveillance system and it has been lauded as a way of catching fugitives. Last year, media noted that police were able to pick a fugitive out of a crowd of 60,000 at a concert using the technology.

Author = BBC