Facial recognition and AR: Envisioning who we could be

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AR facial recognition technology is prevalent across social media, retail, gaming, dating and even healthcare

Facial recognition software can partner with AR to project these fantastic and aspirational visions on ourselves. It can help us shop, dream, fall in love, feel better, and stay safe, all by looking into a camera, writes Snehaal Dhruv, CEO at Cameraah

We have always known that smartphones and other advanced telecommunications devices would change the world. Some of those changes have been a surprise, and in the case of augmented reality (AR), a more literal changing of the world than anyone expected. By loading an app and holding up our phones, we can see the world transformed into a dreamlike place full of fantastic creatures, marvelous vistas, aspirational products, and more.

AR has turned our smart devices into windows on other worlds, and with facial recognition technology, can even change the way we present ourselves to the ever-more-important online world. If this immersive technology can create the world we want to see, pairing it with facial recognition can create the selves we want to be.

To begin with, let’s establish the difference between AR and biometric face recognition. Biometric face recognition verifies an individual’s identity by scanning and confirming their facial features, and is used in security software by companies such as Apple and Bank of America to protect user accounts.

AR facial recognition creates an ‘emphatic camera’ that can detect the presence of a human face and create a grid on which to snap AR assets such as filters, animations, effects, and more onto the appropriate areas of the face. AR software can also detect changes of expression to trigger different effects determined by the user’s mood or effect.

Smile! Now with optional fangs!

With that explanation in mind, it’s easy to recognise the most common use of AR facial recognition software: the ubiquitous selfie filters that fill our social media feeds with pictures of people with animal features, halos, unicorn horns, alien eyes, and more.

Photo filters are by far the most common use of AR facial recognition, turning everyone’s phone into a fantastic toy, a bottomless dress-up closet with all the costumes and effects anyone could want. Options include everything from subtle changes to cartoonish exaggerations to realistic reworkings of the whole face to disguise one’s identity. Many of the best implementations of AR facial recognition use the technology in this way, to let people augment their photographs.

Snapchat first brought AR facial recognition filters to prominence, the most successful application of these selfie tools to-date has been on Facebook’s subsidiary, Instagram.

Social media is a great place to leverage this technology as the various platforms already rely so much on projecting a fantastic version of oneself onto the web. Instagram is so associated with these photo accessories that they are widely called “Insta Filters” no matter which platform is being discussed, the way all photocopies are now called xeroxes, regardless of the company that made the copier. The AR filters create hours of extra engagement on the platforms that include them, with users taking and posting many pictures they would not have bothered to take without the added fantastical layer of AR filters. 

Shop without dropping

But AR facial recognition is good for more than just selfies. The ability to project a fantasy directly onto oneself is great for advertising, allowing the user to see themselves as a character in a story. Movies, TV shows, and other mass media works especially have been good at leveraging this type of advertising, creating apps or filters on other apps where users can depict themselves as iconic fictional characters such as Transformers, ninja turtles, werewolves, or Pennywise the dancing clown (specifically to keep me from sleeping at night, I assume…).

By filming or photographing themselves with features from these characters molded accurately onto their own faces, consumers can express their own enthusiasm for coming productions, and spread that excitement through their social circles.

Of course, by projecting more realistic scenarios onto an AR facial recognition app, brands can advertise tangible products rather than works of media. Retail businesses such as Macy’s feature AR apps that allow virtual try-on, letting users see themselves in various clothing items and accessories on their own screen. Proper use of physics engines and modern rendering and lighting tools allows consumers to see how different items realistically hang and catch the light, or how certain fabrics drape on their bodies.

Not only does this software create an aspirational fantasy wherein the user can see themselves in the desired item, it also makes online shopping easier and more reliable, as the user already knows how they’ll look in whatever they buy.

AR technology shows us more than just what we can buy—it shows us who we can be. Virtual makeovers allow users to see how they’d look with a new haircut, a change in beauty routine, or even cosmetic surgery.

Doctors can show patients how they’d look after an elective or reconstructive process while barbers and hairdressers let their customers select their new coiffure before touching a hair on their heads. Cosmetics companies are already using virtual makeovers to both inspire and market to consumers, with brands such as MAC expecting significant upticks in sales once people see how they look using various products. 

All this potential advertising means more customer service interactions, for better or worse. But AR facial recognition can make more of these interactions better by allowing customer service personnel to monitor customer reactions and moods through expression and body language.

By tracking eye movement, set of the jaw, and angle of the head, facial recognition software can warn call desk operators if a customer is unhappy or growing agitated, or if they are satisfied, regardless of what they say aloud, and data-driven artificial intelligence (AI) can suggest a course of action for every reaction to help make customer experiences positive and productive. Companies can also use filters to mask their employees’ identities in what could become hostile encounters.

Social dynamics

AR facial recognition is good for more than just one-way self-expression wherein a person sees an augmented photo of themselves to try something on or share later. This new technology can open up whole new vistas of online socialisation.

Video conferencing products such as Zoom and Teams already feature AR filters that can both make users appear to be in exotic locales and change their features, or even their whole appearances. This creates the possibility for online costume parties, structured role-play in a team-building environment, or just a chance to add levity to a family group showing up as an animal—or with features taken right from a family member, such as mother’s hairdo or father’s beard.

Social uses of AR facial recognition filters go well beyond conferencing. Gamers have recently begun implementing AR masks, hats, helmets, and more to enliven their video chats and streams.

About the author

Snehaal Dhruv is the founder and CEO at Cameraah

Let VRWorldTech know what you think via Twitter, LinkedIn, Facebook or editor@vrworldtech.com.

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Images: Snapchat, Streamlabs, Cameraah and Canva

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Source: https://vrworldtech.com/2021/10/14/facial-recognition-and-ar-envisioning-who-we-could-be/

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