5 Applications of Facial Recognition Technology in Mobile

Anastacia Zharovskikh
Anastacia Zharovskikh, Copywriter at InData Labs at InData Labs
Published on Nov 24, 2020 in App Development

Gone are the days when facial recognition was nothing but science fiction. Today, the technology is multiplying, and soon will become the norm. It has already paved the way into web development, and now is going after mobile app development. If you are planning on integrating face recognition into your mobile app, or just curious to know what is coming down the pike, read further.

Applications of Facial Recognition Technology for Mobile

Facial recognition mobile applications are everywhere. You are waking up and unlocking your phone with your face, trying cute pinky furry ears on Snapchat, paying for your Thanksgiving dinner online, and more. Just for the record, all of this happens because of the old good face recognition. The Grand View Research prophesies the facial recognition market to expand at a CAGR of 14.5% from 2020 to 2027. So it is safe to say that it’ll be sweeping the globe in the next few years.

Let's take a closer look at the most popular use cases of facial recognition for mobile in 2020.

Face Verification in Mobile Apps 

Living in the digital era, we’ve got used to having plenty of apps and actually keeping our data in them. And that makes privacy and security do matter.

Today, a lot of apps are moving away from passwords towards biometrics. The basic functionality of mobile face recognition is security. You might wonder, how come it is secure enough to replace the old-fashioned password system? Well, every person has unique biometric features like nose, lips, eyes, interpupillary distance, etc. Face morphing attacks are real but facial recognition based on DL (Deep Learning) is smart to detect even high-quality morphs. DL enables synthetic face image detection for safe in-app identity verification.

If you are in doubt about password verification in the app you are working on, think of facial recognition app development with Deep Learning It’s safe, trendy and will give your app a competitive edge on the market.

Quarantine Monitoring

Face recognition has proved effective to curb the COVID-19. Now the world is dealing with the second wave of the virus. And again, facial recognition mobile applications are of much help. They help trace down people who quarantine.

This kind of a mobile app works as follows:

1. The app asks the person on quarantine for a selfie
2. Detects facial features on the person’s face, analyzes it and checks it against the database of faces.
3. If the similarity is detected, the app verifies the identity of the person.

A Polish ‘selfie’ app for contact tracing is a good example of how mobile face recognition works. It’s both an Android and iOS app that allows the police to check on those who home quarantine. The app spontaneously requests a reference photo and location to be sent within 20 minutes. It also provides the police and health authorities with health information and contacts the person has. In this case, face recognition is a Swiss Army knife in the battle against the COVID-19, not an infringement of human rights. With the pandemic unlikely to slow down this year, apps based on face recognition for contact tracing will be in demand.

Selfie Face Filters for Fun

If you are a big fan of Snapchat and Banuba, no need to say much about real-time selfie editors and AR (Augmented Reality) effects. Flower crowns, deer faces, rainbow glasses on your face – these are nothing but the mix of facial recognition and AR. Mobile apps of the kind help the user spark up creativity and shake up the routine.

With facial recognition in mobile apps, the user can detect, recognize and then try on a dream face filter just in a few clicks. These apps might be about fun but they usually reach the top charts and bring profits. And that is facial recognition that makes them stand out from the competitors on the mobile app market. Bringing the tech to the table, a developer has a good chance to attract users and make them hooked on their product. So if you are nurturing the idea of developing a facial recognition-based app for iPhone or already developing one, that might be your lucky charm.

Emotion Analysis

Emotion analysis and expression recognition are becoming the new big thing for mobile app development. Face recognition has disrupted the way we see sentiment analysis in mobile apps. What was unthinkable has evolved into the reality we live in. Today, the mobile app market offers plenty of apps that detect and recognize human emotions in a few seconds. The application is multifold.

For mental therapy it’s about more accurate diagnosis making, for the entertainment industry it’s about recognizing moods and simply having a great time. The list goes on.

Face Recognition for the Visually Impaired

Little did we know that there would be plenty of apps to assist people with low vision. Recently, apps powered by facial recognition have been gaining momentum. They’re smart enough to recognize faces in a few seconds. A visually impaired person only needs to download an app, detect faces of friends and relatives, and it’s good to go. Every time the app sees them, it’ll recognize their faces and understand facial expressions through facial expressions. These kinds of apps usually have an audio assistant that tells if it’s a friend or a relative, whether they’re smiling or worrying. For example, Listerine assists the visually impaired in seeing smiles. The apps can be different but the main goal is the same – to make people with visual impairments perceive the world with ease.

To Draw the Line

Even writing these few lines, we can tell how far the technology has come. And there is no turning back. Face recognition has wrapped its arms around plenty of niches, and mobile app development is not an exception. Apps for real-time emotion detection, quarantine tracing apps, funny face filters, security apps – there will be even more of apps to come.

Empowering your app with a top-notch tech or simply going with the tides, you’ll score yourself a point on the mobile market, if you stick to this tech.

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About the author
Anastacia ZharovskikhCopywriter at InData Labs at InData Labs

Anastacia is a tech copywriter at InData Labs, a top AI solutions provider. She mostly writes about AI, Big Data and Data Science. She’s got broad experience crafting copies for MedTech, FinTech, E-commerce, Sports, Gaming and Entertainment industrie...

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