The Application Of Facial Recognition Technology In Secure Interfaces – As the facial recognition market continues to grow, business leaders should consider these issues before deciding whether to implement the technology.
The market for facial recognition technology is growing rapidly as organizations use the technology for a variety of reasons, including authenticating and/or identifying people so they can access online accounts. online, authorize payments, monitor and track employee attendance, target specific ads to buyers, and more.
The Application Of Facial Recognition Technology In Secure Interfaces
In fact, the global facial recognition market size is projected to reach $12.67 billion by 2028, up from $5.01 billion in 2021, according to The Insight Partners. This growth is also driven by growing demand from government and law enforcement agencies that use technology to assist in criminal investigations, surveillance or other security efforts.
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But as with any technology, there are potential downsides to using facial recognition, including privacy and security concerns.
A specific privacy impact of facial recognition technology is the use of the technology to identify people without their consent. This includes using applications such as real-time public surveillance or through the collection of anonymous data, said Joey Pritikin, chief product officer at Paravision, which specializes in facial recognition technology.
Tracy Hulver, director of digital products at Aware Inc., agreed that it’s important for organizations to tell users what biometric data they’re collecting and then get their consent. they are.
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“It has to be clear to the employer what you’re doing and why you’re doing it,” he said. “And ask if they agree.
Stephen Ritter, CTO of Mitek Systems Inc., a provider of mobile digital identity capture and authentication products, agreed that customer notification and consent are critical.
“Whether we provide applications or user experiences directly to consumers, or provide technology to banks, marketplaces, or companies that provide applications to end users, we require adequate notification, which means that consumers are fully aware of the data we will collect and can consent to it,” Ritter said.
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In surveillance applications, citizens’ primary concern is privacy, said Matt Lewis, director of business research at security consultancy NCC Group.
Facial recognition technology for surveillance has improved dramatically in recent years, meaning it’s easy to track someone as they move around town, he said. One privacy concern with the power of such technology is who gets that information and for what purpose.
“The big problem is that companies already collect a lot of personal and financial information about us [for profit applications] that just track you, even if you don’t agree or give permission, said Mohan. “I can walk from here to the grocery store and all of a sudden they’re looking at my face and they can track it to see where I’m going.”
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In addition, artificial intelligence (AI) continues to push the capabilities of facial recognition systems in terms of performance, while from an attacker’s point of view, new research is emerging in the use of AI to generate “master keys”, i.e., peer-to-peer AI generation. different designs, using a technique called generative adversarial networks, Lewis said.
“AI can also detect other facial features that simply cannot be recognized – that is, it can determine the mood of a face (happy or sad) as well as accurately estimate age and gender. -a person’s gender based solely on facial features. . “said Lewis. “This development certainly compounds the privacy concerns of this space.”
In general, facial recognition captures a lot of information depending on the amount and source of the data, and this is what the future needs, says Doug Barbin, director of Schellman, an analyst on global cybersecurity.
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“If I do a search for myself on Google, do I get back images tagged with my name, or are the images I’ve previously identified for myself identifiable without text or context? It raises privacy concerns,” he said. “What about medical records? A major application of machine learning is the ability to diagnose health conditions using scans. But how much does it cost to disclose one’s status?”
“It’s an exploit, not a weakness, but it generally means that biometrics can be copied and pose a security challenge,” he said. “With facial recognition, it may be possible to ‘spoof’ the system (mask as the victim) using a photo or 3D mask created from a photo taken by the victim .”
Another characteristic of all biometrics is that the matching process is statistical – a user does not show his face to the camera in the same way, and the characteristics of the user can vary depending on the day, the use cosmetics, etc., Lewis said.
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As a result, facial recognition systems must determine what a given person might look like, he said.
“This means that some people may look like others to be recognized by other people because of the similarity of features,” said Lewis. “This is called in biometrics the false recognition rate.”
Because it involves storing images or templates (mathematical representations of facial images used for matching), the security implications of facial recognition are the same as any personally identifiable information. , which must include accepted encryption methods, policies and security processes. he said.
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“In addition, facial recognition can be vulnerable to what we call ‘presentation attacks’ or the use of physical or digital fakes, such as masks or deepfakes,” said Pritikin: “Good technology to detect these attacks these are in many use cases.”
A person’s face is the key to their identity, says John Ryan, a partner at the law firm Hinshaw & Culbertson LLP. People who use facial recognition technology are at risk of identity theft. Unlike passwords, people can’t just change the format. As a result, hackers are targeting companies that use facial recognition technology.
Therefore, companies typically establish retention and disposal policies to protect that data, Ryan said. In addition, facial recognition technology uses algorithms that cannot be customized.
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“These obstacles are very useful until now,” he said. “However, the federal and state governments are concerned. Some states, such as Illinois, have already passed laws restricting the use of facial recognition technology. There is also legislation pending at the federal level. “
Pritikin said his company uses advanced technology, such as presentation attack detection, to protect against the use of fake data.
“We are also currently developing advanced technology to detect deep fakes or other digital facial manipulations,” he said. “In a world where we rely on faces to establish identity, whether it’s a face-to-face video call, understanding what’s real and what’s fake is an important aspect of security and privacy. – even if facial recognition technology is not used.”
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Linda Rosencrance is a Boston-area freelance writer/writer/writer. Rosencrance has more than 30 years of experience as an investigative journalist, writing for several newspapers in the Boston metropolitan area. He has been writing about information technology since 1999. Rosencrance is the author of six true crime books for Kensington Publishing Corp. As facial recognition technology becomes more common in home security cameras, it’s important to understand what it is and how it works. We solve it all here.
Entertainment or privacy? Today’s technology often requires users to make choices. Smart home security brings this unpleasant option. Smart Home devices need to collect and transmit data to provide value. However, the practices and options that enable smart home security (such as self-adaptive devices) are also problematic.
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Facial recognition takes the privacy and security of smart home systems to a higher level. Smart security cameras, with or without facial recognition, can be blocked, features and images can be manipulated by hackers. But what about cameras that create data to match the name? Biometrics make the threat of hacking more serious and add to another more global problem – racial bias.
New technologies are often expensive, imperfect and controversial. Facial recognition hits all three. But the technology has great potential in a wide range of areas – in airports, in crowd management, in grocery stores, where cameras on the shelves increase situational awareness. buyer’s mind. Facial recognition has applications almost everywhere; including your home security system.
Facial recognition algorithms allow security cameras to recognize familiar faces in your home. This allows for more trouble-free monitoring of the system (the camera can “know” you at the door and disable the alarm) and increase the detail of the notification.
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However, today’s technology is still very crude. You need to introduce the camera to the faces you want to remember, either by adding pictures or letting the camera take pictures of them. The facial recognition camera creates a database of recognized faces (most remember 16-32). Because the face has three forms and is constantly moving, it is not static like a finger, a camera
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