Even mask-wearers can be ID'd, China facial recognition firm says

[Resurgence]

A Chinese company says it has developed the country’s first facial recognition technology that can identify people when they are wearing a mask, as most are these days because of the coronavirus. 

China employs some of the world’s most sophisticated systems of electronic surveillance, including facial recognition.

But the coronavirus, which emerged in Hubei province late last year, has resulted in almost everyone wearing a surgical mask outdoors in the hope of warding off the virus - posing a particular problem for surveillance.

Now Hanwang Technology Ltd, which also goes by the English name Hanvon, said it has come up technology that can successfully recognize people even when they are wearing masks.

The Beijing-based firm said a team of 20 staff used core technology developed over the past 10 years, a sample database of about 6 million unmasked faces and a much smaller database of masked faces, to develop the technology,

The team began work on the system in January, as the coronavirus outbreak gathered pace, and began rolling it out to the market after just a month.

It sells two main types of products that use the technology. One performs “single channel” recognition that is best used at, for example, entrances to office buildings.

The other, more powerful, product is a “multi-channel” recognition system that uses “multiple surveillance cameras”.

It can identify everyone in a crowd of up to 30 people “within a second”, Huang says. 

“When wearing a mask, the recognition rate can reach about 95%, which can ensure that most people can be identified,” Huang said, adding the success rate for people without mask is about 99.5%. 

A big customer, not surprisingly, is the Ministry of Public Security, which runs the police.

Using Hanwang’s technology, the ministry can cross-reference images with its own database of names and other information and then identify and track people as they move about, Huang said.

“It can detect crime suspects, terrorists or make reports or warnings,” he said.

But the system struggles to identify people with both a mask and sunglasses, he said.

“In this situation, all of the key facial information is lost. In such cases recognition is tough,” Huang said.

The company has about 200 clients in Beijing using the technology, including the police, and expect scores more across 20 provinces to start installing it soon, Huang said.

Although domestic customers have been driving Hanwang’s business, Huang also said he expected more foreign interest, as the virus spreads around the world and more people wear face masks. 



https://www.reuters.com/article/us-healt...SKBN20W0WL

[anonemoose]

I wonder if painting geometric shapes on the mask would defeat them:
https://cvdazzle.com/

[Resurgence]

I wonder if painting geometric shapes on the mask would defeat them:
https://cvdazzle.com/

There was a news article about the group recently published:



Reported March 9:


Faces to fight facial recognition tech






As night falls in London, Georgina Rowlands and Anna Hart start applying makeup. Instead of lipstick and eyeliner, they’re covering their faces with geometric shapes.

They’re two of the four founders of the Dazzle Club, a group of artists set up last year to provoke discussion about the growing using of facial recognition technology.

The group holds monthly silent walks through different parts of London to raise awareness about the technology, which they say is being used for “rampant surveillance.” Other concerns include its lack of regulation, inaccuracy and how it affects public spaces.

Some 19 people attended the most recent event in the East London neighborhood of Shoreditch and anyone can take part in the walks, in which participants have to paint their faces in a style called CV Dazzle.

The technique, developed by artist and researcher Adam Harvey, is aimed at camouflaging against facial detection systems, which turn images of faces into mathematical formulas that can be analyzed by algorithms. CV Dazzle – where CV is short for computer vision – uses cubist-inspired designs to thwart the computer, said Rowlands. 

“You’re trying to kind of scramble that by applying these kind of random colors and patterns,” she said. “The most important is having light and dark colors. So we often go for blacks and whites, very contrasting colors, because you’re trying to mess with the shadows and highlights of your face.”

To test that their designs work, they use the simple face detection feature on their smartphone cameras.

“I can see that I’m hidden, it’s not detecting me,” Rowlands said, checking her phone to see her face doesn’t have a square around it.

The rise of facial recognition technology is being tested and spreading in developed democracies after aggressive use in some more authoritarian countries like China.

Britain has long been used to surveillance cameras in public spaces to counter security threats and London is ranked as having one of the world’s highest concentrations of closed-circuit television cameras. But that acceptance is being tested as authorities and corporations increasingly seek to deploy a new generation of cameras with facial recognition technology while activists, lawmakers and independent experts raise concerns about mass surveillance, privacy and accuracy.

Opposition to algorithmic surveillance is not limited to Britain. Russia activists were reportedly arrested last month for holding a similar face paint protest over Moscow’s facial recognition cameras. Hong Kong pro-democracy activists routinely use face masks in street protests to hide their identities. Rights groups in Serbia and Uganda have opposed government projects to install Chinese-supplied cameras.

Other designers have come up with countermeasures like sunglasses that reflect infrared light to blind cameras.

“There is a movement of resistance against facial recognition that we are actively participating in and we want to kind of further initiate,” said Rowlands.

Rowlands, Hart and two other artists founded the Dazzle Club in August, following news that London’s King’s Cross district — a busy transport hub where many big offices are being built rapidly — had quietly experimented with live facial recognition cameras without public knowledge or consent, sparking a backlash.

London police recently started using live facial recognition cameras on operational deployments. Last week officers arrested a woman wanted for assault after the cameras picked her out of a street crowd on a busy shopping street. Police say new technology is needed to keep the public safe and images of innocent people are deleted immediately.

Public attitudes to facial recognition technology in Britain appear to be mixed, according to one survey last year, which found most people said they don’t know enough about it but nearly half said they should be able to opt out.

The Dazzle Club’s founders say they’re worried about the effect that the technology has on people in public if cameras are collecting their biometric data — facial images — without clearly explaining what’s being done with it.

“We’re having to adjust our behavior in public space in a way that I think is problematic,” said Hart.

https://nypost.com/2020/03/09/artists-in...tion-tech/