"Computers have been getting better and better at seeing movement on video. How is it that they read lips, follow a dancing girl or copy an actor making faces?"
– from Andrew Blake. Introduction to Active Contours and Visual Dynamics. Visual Dynamics Group, Department of Engineering Science, University of Oxford
AI could generate faces that match the expressions of anonymous subjects to grant them privacy--without losing their ability to express themselves. The news: A new technique uses generative adversarial networks (GANs), the technology behind deepfakes, to anonymize someone in a photo or video. How it works: The algorithm extracts information about the person's facial expression by finding the position of the eyes, ears, shoulders, and nose. It then uses a GAN, trained on a database of 1.5 million face images, to create an entirely new face with the same expression and blends it into the original photo, retaining the same background. Glitch: Developed by researchers at the Norwegian University of Science and Technology, the technique is still highly experimental.
In 2002, a couple of Japanese visitors to Australia swapped passports with each other before walking through an automatic biometric border control gate being tested at Sydney airport. The facial recognition algorithm falsely matched each of them to the others' passport photo. These gentlemen were in fact part of an international aviation industry study group and were in the habit of trying to fool biometric systems then being trialed round the world. When I heard about this successful prank, I quipped that the algorithms were probably written by white people - because we think all Asians look the same. Colleagues thought I was making a typical sick joke, but actually I was half-serious.
Judge Napolitano's Chambers: Judge Andrew Napolitano breaks down why the Fourth Amendment is an intentional obstacle to government, an obstacle shown necessary by history to curtail tyrants. A trial in Great Britain has just concluded with potentially dangerous implications for personal freedom in the U.S. Great Britain is currently one of the most watched countries in the Western world – watched, that is, by its own police forces. In London alone, one study found that more than 420,000 surveillance cameras were present in public places in 2017. What do the cameras capture? Everything done and seen in public.
Gatwick has become the UK's first airport to confirm it will use facial-recognition cameras on a permanent basis for ID checks before passengers board planes. It follows a self-boarding trial carried out in partnership with EasyJet last year. The London airport said the technology should reduce queuing times but travellers would still need to carry passports. On Tuesday, a spokeswoman for Gatwick told BBC News it had taken the decision, first reported by the Telegraph newspaper, after reviewing feedback from passengers in the earlier test. "More than 90% of those interviewed said they found the technology extremely easy to use and the trial demonstrated faster boarding of the aircraft for the airline and a significant reduction in queue time for passengers," she said.
What began as a way to increase public safety has turned into a civil rights concern. Some residents of San Diego, California are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The devices use sensor nodes to gather a range of information, such as weather and parking counts, but also uses facial recognition technology to count pedestrians. Some residents of San Diego, CA are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The San Diego City Council approved the installation of the Smart StreetLights in December 2016 - and now approximately 4,200 are in place.
Face detection is one of the most common applications of Artificial Intelligence. From camera applications in smartphones to Facebook's tag suggestions, the use of face detection in applications is increasing every single day. Face detection is the ability of a computer program to identify and locate human faces in a digital image. With the increasing demand for face detection feature in applications, everyone is looking to use face detection in their application so that they are not left behind in the race. In this post, I will teach you how to build a face detection program for yourself in less than 3 minutes.
Have you ever noticed your friends getting tagged automatically after you upload a group picture? Though the technology has now gained widespread attention, its history can be traced back to the 1960s. Woodrow Wilson (Woody) Bledsoe, an American mathematician and computer scientist, is one of the founders of pattern and facial recognition technology. Back in the 1960s, he developed ways to classify faces using gridlines. A striking fact was, even during the experimental and inception phase, the application was able to match 40 faces per hour.
"[T]here's a fundamental flaw in our justification for these technologies," Accenture's Responsible AI Lead Rumman Chowdhury wrote on Twitter last month, referring to the San Francisco proposal. "Do we live in a sufficiently dangerous state that we need this? Is punitive surveillance how we achieve a healthy and secure society (it is not)?" My question about any new technology that is being rapidly adopted--AR, VR, big data, machine learning, whatever--is always "why?" Why do businesses or governments want face recognition? "'We' aren't justifying these technologies," I replied.
Concern at the use of facial recognition technology continues as California lawmakers ban its use for the body cameras used by state and local law enforcement officers. It comes after civil rights campaign group in the US called ACLU ran a picture of every California state legislator through a facial-recognition program that matches facial pictures to a database of 25,000 criminal mugshots. The test saw the facial recognition program falsely flag 26 legislators as criminals. And to make matters worse, more than half of the falsely matched lawmakers were people of colour, according to the ACLU. Officials in San Francisco have already banned the use of facial recognition technology, meaning that local agencies, such as the local police force and other city agencies such as transportation would not be able to utilise the technology in any of their systems.
As of today, lots of companies state to assist security firms, the army, in addition to consumers prevent crime and defend their private, homes, and buildings belongings. This particular article intends to offer business leaders in the security space with a concept of what they are able to presently expect from Ai in the business of theirs. We wish this report allows company leaders in security to garner insights they are able to confidently relay to the executive teams of theirs so they are able to make educated choices when thinking about AI adoption. At the minimum, this article intends to serve as a technique of decreasing the time industry leaders in physical security spend researching AI businesses with whom they might (or might not) be keen on working. Evolv Technology claims to offer a physical security system that consists of the Evolve Edgepersonnel threat screening machine that works with the Evolv Pinpoint automated facial recognition application.