"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
Today Flying Cloud Technology announces it has entered into an OEM relationship with Wireless Guardian. Wireless Guardian is the world's first forward-facing human threat detection system and the most effective investigative security solution for today's high-tech environment. Providing protection to patrons and facilities, Wireless Guardian tracks both security and pandemic threats up to a mile outside the facility's perimeter. "Flying Cloud is extremely happy to enter into this strategic partnership with Wireless Guardian. We feel that this partnership will showcase the incredible strengths of both companies. Wireless Guardian will be an invaluable data source that is fed into and analyzed by Flying Cloud. This data will allow our joint customers to not only detect someone entering their facility with a temperature, but with our patented AI models, we can clearly show where they went in a facility and show who they were in contact with. Flying cloud is now the only company that can track both the user and the data that they interact with," said Brian Christian, CEO of Flying Cloud Technology.
JA: In terms of the VMS market itself – it seems the leading players are more clearly defined, and some players are fading away. Would you agree with that? PR: Up to a certain point the basic video recording functionality is commoditised, what's not commoditised is the reliability with which that functionality can be carried out. Regardless, there will always be at least 3 competitors in any market. So, yes, the market is fragmented but is becoming less fragmented. JA: What in your opinion are the major VMS trends of the moment?
From public CCTV cameras to biometric identification systems in airports, facial recognition technology is now common in a growing number of places around the world. In its most benign form, facial recognition technology is a convenient way to unlock your smartphone. At the state level though, facial recognition is a key component of mass surveillance, and it already touches half the global population on a regular basis. Today's visualizations from SurfShark classify 194 countries and regions based on the extent of surveillance. Click here to explore the full research methodology.
In its annual report, the AI Now Institute, an interdisciplinary research center studying the societal implications of artificial intelligence, called for a ban on technology designed to recognize people's emotions in certain cases. Specifically, the researchers said affect recognition technology, also called emotion recognition technology, should not be used in decisions that "impact people's lives and access to opportunities," such as hiring decisions or pain assessments, because it is not sufficiently accurate and can lead to biased decisions. What is this technology, which is already being used and marketed, and why is it raising concerns? Researchers have been actively working on computer vision algorithms that can determine the emotions and intent of humans, along with making other inferences, for at least a decade. Facial expression analysis has been around since at least 2003.
Facial recognition technology can determine a person's personality by analysing an emotionless selfie, a study claims. Researchers built an artificial neural network that assessed 128 different factors of a person's face, such as the width of the mouth and the height of the lips or eyes. It used the data from these readings to categorise a person based on five personality traits: conscientiousness, neuroticism, extraversion, agreeableness, and openness. When compared to questionnaires filled in by the volunteers, the AI was accurate 58 per cent of the time. Researchers say pure chance would get this right 50 per cent of the time and humans are less consistent than the facial recognition method.
It's new iOS day, and that means it's time to update. Apple released the public version of iOS 13.5 on Wednesday, making a host of changes that were previously only available to developers in the beta release finally accessible to the wider public. And while you may groan at the seemingly never-ending responsibility to update your phone, there's plenty of reasons why you shouldn't delay on this update. For starters, iOS 13.5 fixes what some consider an annoying Group FaceTime feature: the auto-resizing tiles. "This update also introduces an option to control automatic prominence of video tiles on Group FaceTime calls and includes bug fixes and other improvements," explains Apple on its iOS updates page.
From left to right, Zongfu Yu, Ang Chen and Efram Khoram developed the concept for a "smart" piece of glass that recognizes images without any external power or circuits. The sophisticated technology that powers face recognition in many modern smartphones someday could receive a high-tech upgrade that sounds -- and looks -- surprisingly low-tech. This window to the future is none other than a piece of glass. University of Wisconsin–Madison engineers have devised a method to create pieces of "smart" glass that can recognize images without requiring any sensors or circuits or power sources. "We're using optics to condense the normal setup of cameras, sensors and deep neural networks into a single piece of thin glass," says UW-Madison electrical and computer engineering professor Zongfu Yu.
Apple's latest iPhone software update, iOS 13.5, released Wednesday, is there for you. Your eyes, nose and mouth must be visible for Face ID, Apple's facial recognition software, to recognize you. But with the coronavirus, device owners may be wearing masks when out in public. So Apple is making it easier for you to unlock your phone when you have a mask on. Install the update and you will no longer have to wait for Face ID to fail several times before being prompted to enter your passcode.
Apple on Wednesday released iOS 13.5 and iPadOS 13.5. The update includes bug fixes, improvements, and, perhaps most notably, changes to how Face ID works when iPhone owners are wearing a face mask, along with the COVID-19 contact tracing feature. The update is available right now. You can install it by opening the Settings app and going to General Software Update and following the prompts. Once installed, Face ID will immediately display your PIN code prompt after it fails to recognize your face.
Researchers have been harvesting selfies of people wearing protective masks from social platforms like Instagram in an effort to improve facial recognition software. An investigation by CNET uncovered thousands of selfies depicting people wearing masks in public data sets found online. The images had been harvested directly from Instagram. The sets are being used to help train facial recognition software to identify people who are wearing protective face masks as a safeguard against spreading COVID-19. Masks covering a significant portion of a person's face prevent even some of the most advanced facial recognition software like Apple's Face ID, from accurately detecting a person's features.