Homeland Security wants to increase the use of face recognition at airports from just 15 national locations to scan 97 percent of passengers by 2023
- Face recognition software could soon become standard at airports in the United States.
- The tool would be used to track people who come in and out of the country
- Photos & # 39; s of passengers would run into a database of visas & # 39; s and passports
- The interest of DHS in face recognition is in the midst of increasing human rights issues
Despite concerns about the impact of face recognition on civil liberties, government agencies have generously applied the tool in the US with one of the largest deployments to an airport in your area.
The US Department of Homeland Security (DHS) said it plans to extend the application of facial recognition to 97 percent of all passengers leaving the US by 2023, according to the roadside.
For comparison: face recognition technology is applied at only 15 airports, according to figures recorded at the end of 2018.
In what is referred to as & # 39; biometric output & # 39 ;, the agency plans to use face recognition to better follow passengers entering and leaving the country.
The US Department of Homeland Security (DHS) said it plans to extend the application of facial recognition to 97 percent of all passengers leaving the United States by 2023
The system works by taking a photo of passengers before they leave and then creating a cross-reference with a database of photos of passports and visas.
According to the DHS, the technology is not only scalable, but also extremely accurate.
In the current iteration, a summary states that the technology has scanned more than 2 million passengers with an almost perfect agreement of 98 percent.
In its limited deployment, the DHS says it has helped to identify 7,000 exceedances of passengers since it was introduced in 2017, as well as six passengers who tried to use an identification that did not belong to them.
While public institutions in the United States are eager to use face recognition for data collection, both interest groups and more recently large technology companies have put the brakes on.
One of the most unlikely sounds of caution against the widespread application of face recognition is Microsoft – one of the largest and most advanced providers of face recognition software.
This month, the company announced that it was not lending its software to an unnamed California law enforcement agency that was planning to use the tool to scan the faces of people who had taken over the office so that it could be compared to a database.
According to Microsoft President, Brad Smith, the reason behind the decision is that the company felt that the software – artificial intelligence systems that use machine learning to improve its capabilities – would have a disproportionate impact on color and women.
Facial recognition software has become increasingly attractive for law enforcement and other public authorities, but some major technology companies have put the brakes on.
The Microsoft utility is trained in predominantly white male subjects, making it less efficient in identifying women and people with a color and therefore increasing the risks of using the technology.
Elsewhere in California, lawmakers have also debated banning the use of facial recognition software by public authorities.
San Francisco, which started the moratorium this month, would become the first city in the US to adopt legislation on the tool if the policy were adopted.
Concerns about the use of the software are mainly focused on possible violations of civil liberties.
One of the most vocal critics, the ACLU, has argued that the scanning of a person's face blocks the laws of probable cause and can be used for massive government surveillance.
HOW DOES FACIAL RECOGNITION TECHNOLOGY WORK?
Face recognition software works by linking real-time images to a previous photo of a person.
Each face has around 80 unique nodes in the eyes, nose, cheeky and mouth that distinguish one person from the other.
A digital video camera measures the distance between different points on the human face, such as the width of the nose, the depth of the eye sockets, the distance between the eyes and the shape of the jaw line.
Another smart surveillance system (photo) can scan 2 billion faces in China within two seconds. The system connects to millions of CCTV cameras & uses artificial intelligence to select targets. The army is working on applying a similar version of this to AI to track people across the country
This produces a unique numeric code that can then be linked to a corresponding code that is derived from a previous photo.
A face recognition system used by officials in China connects to millions of CCTV cameras & uses artificial intelligence to choose targets.
Experts believe that face recognition technology will soon catch up with fingerprint technology as the most effective way to identify people.