Face Tracking Software: Behind the technology

Facial Recognition is an analytics program that identifies and authenticates a specific person by their facial features from an image or video. The software uses biometrics to map the geometry of the face.


Facial detection and tracking technology is a unique product for mobile and web app developers. Its high performance is achieved due to:

  • Integrated 3D math model
  • Datasets tuned to work perfectly with Math algorithms
  • Optimization for iOS (Apple CPUs) and Android

Integrated 3D math model

Other solutions create filters by identifying 2D points on the face first, then applying nonlinear equations to create a 3D model of the head.

Developers establish a 3D model of the head directly, skipping the identification of 2D points. This makes the solution more accurate. The 3D math model reduces all possible transformations to a limited number of variables.

Datasets tuned to work perfectly with Math algorithms

For data sets, Developers use complementary systems. Semi-supervised metric learning and generative adversarial networks (GANs) work together. Developers use hand-crafted, hand-tuned code alongside compilers, harnessing human ability where necessary.

Math models cut the execution time on a smartphone, reduce the learning time for the algorithm, and allow for a larger data set improving the quality of the operation. Developers use a rather unconventional form of deep learning, mixing CNNs and different variations of Random Forests.

Optimization for iOS (Apple CPUs) and Android

Engineers have developed unconventional types of neural network layers, tuned to specific architectures, namely Apple A9-A13 CPUs and Android.

AR SDK is supported even by constrained devices, providing effective and fast performance on 90% of smartphones.

Discover advanced technologies

  • 3D face detection and tracking
  • 3D face analysis
  • Background subtraction

3D face detection and tracking

Face detection and head pose tracking

This technology detects the face and head-pose movements. Once the face has been detected, the algorithm switches to head-pose tracking mode by using the position of the head on the previous image as the initial approximant. If the face is lost, the algorithm switches back to face detection mode.

Based on a directly inferred 3D model of the head (rather than one transformed from a 2D model), the technology is also operable even with a low SNR (signal to noise ratio) and poor lighting conditions. The incorporated model can forecast the appearance of the head in the subsequent frame, increasing stability and precision.


  • High performance (30-60 fps)
  • High quality
  • Extreme angles, ranging from –90 to +90
  • Efficient operation in poor lighting conditions
  • Operation with even with obstructions of up to 50% of the face
  • Stable detection and resistance to partial obstructions of the face, including glasses and complex haircuts
  • Depending upon needs, a 3D model of a face with 64 to 3,308 peaks is created
  • Supports 360 degrees rotation of the smartphone camera
  • Estimation of distance from the smartphone

Eye tracking and gaze detection

Thanks to this technology, it is possible to both “track” a person’s gaze, and control a smartphone’s function with eye movements. An algorithm detects micro-movements of the eye with subpixel accuracy in real-time. Based on that data, a vector of movement is created.

Face recognition algorithm helps to measure the distance to various points on a scanned surface with a high degree of precision and to detect its shape. It can detect, for instance, whether the user’s eyes are open or closed.


  • High degree of precision
  • Eye pupil detection and tracking
  • Eye states: open & closed
  • Eye blinking
  • Attention tracking
  • Facial motion capture

Face Motion Capture

Face Motion Capture involves scanning facial movements and converting them to computer animation for movies, games, or real-time avatars. It can operate either in the real-time or based on the user’s preliminarily saved data or/and their face-motion models. Derived from the movements of real people, the technology results in more realistic and nuanced computer character animation than if the animation were created manually.


  • Fast execution – operates in real-time based on at least one or several frames. Each consequent frame may improve the model.
  • Can be integrated into the Face Recognition pipeline in order to develop precise models of users combining both visual similarity and the resemblance of facial gestures, emotions and other motion-related features.

3D FMC applications:

  • Face recognition (biometrics)
  • Autofocus (photography)
  • Unconventional elements of the user interface, games
  • Measuring user interaction and engagement with in-app ads
  • Behavioral analytics of mobile UI/UX based on eye gaze tracking
  • Work style analysis: eyes blinking frequency, analysis of employee attention concentration, estimation of employee type of activity: typing, reading, calculation of onscreen time spent.

3D face analysis option

Face segmentation

Face segmentation is a specific computer vision task that assigns labels to facial features such as nose, mouth, eye, hair, etc., to each pixel in a face image. Our face segmentation techniques include complex cascaded machine learning algorithms in combination with color model and Monte Carlo approaches. This leads to precise detection of eyes, their structure (iris, pupil, eyeball, etc.) and the nose, ear, cheek, chin, mouth, lip eyebrow and forehead.


  • Access over a convenient API
  • Separate parts of the face can be detected for further analysis

Evaluation of anthropometric parameters

Facial anthropometry refers to the measurement of the individual facial features. Our novel algorithm automatically detects a set of anthropometric facial fiducial points that are associated with these features. This makes it possible to recognize refined facial patterns and recreate detailed semantics, mimics and anthropometrics.


  • Access over a convenient API
  • Reconstruction of face geometry “cleaned” of mimics
  • Creation of caricature avatars in an instant

Skin and hair color

Developers have developed a library for detecting hair and skin color for iOS. The area above the person’s forehead is used for hair color detection as it is less sensitive to head’s turns than other areas of hair. The technology recognises sharp intensity patterns above the hairline and analyzes color. There will be no such sharp intensity patterns for bald individuals, so our technology also allows us to detect the lack of hair.

To detect skin color samples are taken from areas of the face that algorithms point to as specifically being face skin.


  • Precise color measurement
  • Visual skin color and skin tone correction
  • Skin-related disorder detection
  • Virtual makeup

Hair style detection

This technology is based on convolutional neural networks. The learning sample selection consists of images of men and women, categorised by their hairstyle. Learning is the process of matching an image with the most relevant hairstyle sample.

Semi-supervised metrics learning was used for the creation of the data set. Subsequently, a GAN was trained for the expansion of the data set, upon which, the final network was trained. To improve quality, a loss function, specifically selected for the task, was used.

TOP Features:

  • Detecting hair style, hair color
  • Changing hair color
  • Haircuts of any shape can be detected, regardless of hair length
  • The algorithm distinguishes with pixel precision between hair, face and other parts, such as beard, moustache or glasses
  • Matting is done with pixel precision. If the background is seen through the hair, it is detected as part of the hair.

App Ideas:

  • Virtual hair salon: trying out new hair colors and hair styles
  • Detecting hair style for 3D avatar creation

Emotion and expression recognition

People’s emotions are reflected on their faces, and with the ability to “read a face” it is possible to deliver more personalized content. Our technology allows us to detect six basic emotions; anger, disgust, fear, happiness, sadness, and surprise.

The variables of the model returned by the recognition algorithm can be used either directly, or transformed into parameters for another model, such as Facial Action Coding System (FACS), which detects muscle movements that correspond to specific emotions.


  • Real-time detection of anger, disgust, fear, happiness, sadness, and surprise
  • Access to a convenient API
  • Conversion of data to Paul Ekman’s Facial Action Coding System

App ideas:

  • Mood-related content in mobile applications, such as three-dimensional visual masks that reflect users’ feelings while they are communicating in mobile video chats
  • Targeted ads
  • Detection of tiredness and degree of stress
  • Use of emotional reactions to a product or content in empathic apps and advertisements
  • Creation of human-friendly digital products which react to human mimics
  • Detection of emotional states of patients for health purposes (helping schizophrenic patients)

Digital Face Beautification

This technology is used for creating visually beautified images of users. Anthropometric data and mimics are analyzed and corrected in real-time.


  • Smoothing of skin
  • Correction of face skin tone
  • Whitening of eyes and teeth
  • Correction of face shape (make it slimmer, wider, increase/decrease eye size, change the shape of the nose and head proportions)
  • Change hair color
  • Improve face symmetry
  • Shape and color eyebrows
  • Correction of lip shape
  • Virtual makeup
  • Face morphing


  • Improving the user’s look during video chat
  • Cosmetic surgery: ‘Before’ and ‘after’ visual aids during consultation with a patient
  • Cosmetics: makeup application
  • Demoing effects of face skin products
  • Fixing smartphone camera distortions
  • Make selfies more attractive

Background subtraction

Developers have developed a library to separate a person’s image from the background for Apple iOS.

This technology can be used for the real-time replacement of backgrounds with both static and animated textures. Backgrounds can be changed into a number of optional presets during video calls or used as an engaging effect in advertising.

The technology is based on convolutional neural networks, with color images as the input and a probability mask showing whether a pixel belongs to the class “person” or to the class “background.” This allows us to ensure high performance and results for real-time backgrounds.

The problem of lack of data sets for the separation of objects from the background is resolved by the creation of a small initial data set, which is increased by active learning and subsequent fine-tuning.

A correctly selected data set helps to obtain optimal results and high-quality implementation.


  • Augmentation of raw output with classic algorithms for computer vision and signal filtration – lightweight post processing (deletion of small contours, precise definition of borders, additional image recognition).
  • Post-processing, including mating, filters and removal of small objects
  • Portrait mode and bokeh effect

App Ideas:

  • Replacement of an unsuitable background and noise removal
  • Animation effects in the background that are changed by the user as part of interactivity
  • Animated emotion-related background
  • Advertisements
  • Adding colors
  • Protection of privacy
  • 360-degree background 2D and 3D for educational purposes, e.g. for mixed reality
  • ‘Hollywood effects’ on a mobile phone
  • Replacing backgrounds for practical purposes (e.g. during a business call) or to entertain (e.g. jungle instead of a wall)
  • Editing “boring” backgrounds to create perfect videos
  • Removing unwanted objects or people from videos

TOP 10 AR SDK for iOS & Android Development in 2021

I make the TOP-list of iOS and Android Augmented Reality SDK intended to shape your AR development (Free and Paid).

I make the TOP-list of iOS and Android Augmented Reality SDK intended to shape your AR development.

In 2019, revenue from AR mobile applications amounted to 3 345 million U.S. dollars worldwide.


First, looking Wiki-Article: Augmented reality – Wikipedia
With the help of advanced AR technology (e.g. adding computer vision and object recognition) the information about the…en.wikipedia.org

SDK (software development kit or devkit) is typically a set of software development tools that allows the creation of applications for a certain software package, software framework, hardware platform, computer system, video game console, operating system, or similar development platform.

This AR SDK for iOS and Android that you can start using right NOW!

Free SDKPaid SDK

Free Augmented reality SDK:

Flutter – Beautiful native apps in record time

Flutter 1.7 is new Google’s mobile UI framework for crafting high-quality native experiences on iOS and Android in record time. Flutter works with existing code, is used by developers and organizations around the world, and is free and open source.

Who’s using Flutter?


Available on: Android, iOS & Mac, Windows, Linux

ARToolKit is an open-source computer tracking library for creation of strong augmented reality applications that overlay virtual imagery on the real world.

License‎: ‎GNU Lesser General Public License
Original author(s)‎: ‎Hirokazu Kato

ARKit by Apple

Introducing Augmented Reality development for iOS, one of the biggest mobile platforms of today. ARKit is an SDK for software developers to create augmented reality apps and games for iPhones and iPads.

Supported platforms: iOS 11.0+


Available on: Android, iOS & Mac, Windows

Apps powered by EasyAR SDK 3.0


Supported platforms: PC, Android, iOS, Windows, WebGL.


Available on: Android, iOS.

NyARToolkit for Processing is provided by LGPLv3.

Latest commit on Sep 21, 2017

NyARToolkit project is developing a vision-based AR library that based on ARToolKit. Current NyARToolkit libraries have ARToolKit Professional (ARToolKit5) APIs.


Available on: Android, iOS & Unity

According to reviews and comparisons of efficiency, Kudan is the main rival of Vuforia and make augmented reality development very easy.


Available on: Android, iOS & Windows, Mac

MAXST AR SDK Is the Easiest Way to Develop an AR App. Learn More. AR MANUAL. The AR Manual Is a New-concept User’s Manual at Your Fingertips.

Paid augmented reality SDK


Available on: Android, iOS & Unity, Smart glasses Wikitude – Get Started With The World’s Leading Cross-Platform AR SDK
An Augmented Reality engine that empowers your iOS, Android & Smart Glasses apps with Image & Object Tracking, Instant…www.wikitude.com

Supported development frameworks: Native API, JavaScript API, Unity3D, Xamarin, Titanium, Cordova.

Wikitude is a mobile augmented reality technology provider based in Salzburg, Austria. An Augmented Reality engine that empowers your iOS, Android & Smart Glasses apps with Image & Object Tracking, Instant tracking (SLAM), Geo AR.
Founded in 2008.
Developer(s)‎: ‎Wikitude GmbH

Free Startup Pro Pro3D Demo  Enterprise
Geo Geo Geo Geo Geo
2D Im.Recognition 2D Im.Recognition 2D Im.Recognition 2D Im.Recognition 2D Im.Recognition
3D Image Recognition 3D 3D 3D
Cloud Recognition Cloud Recognition
Multiple apps
Watermark No No No No
Free €1990 per app €2490 per app €499 per app Call


Available on: Android, iOS & Unity, Windows

Supported platforms: Android, iOS, UWP and Unity Editor.

Vuforia is the leading AR platform. Paid from $99/mo

Read also: Vuforia Developer library — wiki.


Available on: Android, iOS & Windows, WebGL

XZIMG Face Tracking engine is a product developed by XZIMG Research that addresses the Augmented Reality market.


Available on: Android, iOS & Unity

Zappar: Augmented, Virtual & Mixed Reality Solutions

Augmented Reality adds a new feature to this evolutionary appendage totally reimagining the role of the camera on your phone when used in an app as a new remote control for the world connecting you (and your audience if you’re a business owner) to the things and places around you.

For iOS or Android or an embed component in your existing app or indeed a new standalone app

There are lots of solutions allowing you to start developing your Augmented Reality App right away.

Note: Description for SDK has been copied from their respective official website.

Best Augmented Reality Apps

10 Augmented Reality Apps That Are Better Than Pokemon Go

There are 4 types of augmented reality today:

  • markerless AR
  • marker-based AR
  • projection-based AR
  • superimposition-based AR

10 Augmented Reality Apps That Are Better Than Pokemon Go

1. MondlyAR

App Rating: 4.7/5.0

Available On: IOS & Android

Price: Free

Even though my parents are native speakers of Mandarin and I took a year-long Chinese course in college, I’m still terrified to speak the language. My American accent and lack of fluency is personally too embarrassing, so I just don’t speak Mandarin — ever.

But one of my goals in life is to become fluent in the language, and the only way to accomplish this is by constantly conversing with native speakers. I can’t seem to muster enough courage to reveal my weak speaking abilities to them, though.

If you’re in similar situation, you might feel like you’re trapped in a vicious cycle, where your embarrassment leads to inaction, which leads to decline and, ultimately, more embarrassment.

Luckily, Mondly, a language learning platform, created an AR app to help you practice your speaking abilities with your very own virtual language assistant.

Your digital assistant can converse with you in seven different languages — Spanish, French, Italian, Portuguese, German, British English, and American English — and with MondlyAR’s advanced features like speech recognition, chatbot technology, and artificial intelligence, she can also give you feedback on your pronunciation and make your lessons as engaging as possible by summoning virtual animals, instruments, and other objects to your room.

2. Inkhunter

App Rating: 4.7/5.0

Available On: IOS & Android

Price: Free

Getting a tattoo can be one of the most stressful decisions of your life. If you get the wrong one, it’ll stay with you forever — until you opt for laser tattoo removal.

Fortunately, though, Inkhunter leverages augmented reality to take the guesswork out of getting a tattoo. After you upload your own art to the app or choose designs from Inkhunter’s gallery, all you have to do is mark the potential area for your tattoo and hover your phone over the mark to see how it’d look on your body, letting you think before you ink.

3. Star Chart

App Rating: 4.5/5.0

Available On: IOS & Android

Price: Free

Stargazing has been a pastime for thousands of years. Who doesn’t love admiring a bright, dusty sky full of stars and learning about the wonders above? Unfortunately, if you didn’t study astronomy, the heavens can be quite challenging to understand.

With Star Chart, though, you can identify any star, constellation, meteor shower, comet, and planet in our solar system. All you have to do is point your phone to the night sky, and the app will automatically follow your movements, chart the sky, and teach you some cool tidbits about space.

4. Housecraft

App Rating: 4.5/5.0

Available On: IOS

Price: Free

Designing a room is just like getting a tattoo. If you buy the wrong furniture, it could ruin the room’s entire aesthetic. And you’d have to deal with the embarrassment of living in an eye-sore — unless, of course, you shell out more money on some new furniture. But even if you buy the most expensive furniture, it still might not fit your room’s look. The same thing could happen all over again.

To avoid this regretful situation, consider downloading Housecraft before you buy any new furniture. The app uses augmented reality to place fully rendered 3D models of a variety of furniture in your home. And all the furniture is resizable to fit your room’s dimensions, observable from any angle and in any light, and you can even save specific room designs for future reference.

You can also use Housecraft just for your own amusement. With the app’s video recording feature, you can document your dream home or something utterly absurd, like a room filled with potted plants, and send them to your friends and family.

5. ROAR Augmented Reality

App Rating: 4.3/5.0

Available On: IOS & Android

Price: Free

ROAR is like Shazam, but for food and beverages. The app lets you can scan over 10,000 different products to learn about their prices, nutrition facts, ingredients, reviews, and relevant promotions.

You can also compare any product’s price in ROAR’s database by retailer, buy select items within the app, and even scan movie posters to buy tickets for the next show at certain theaters.

With all this valuable information at your fingertips, ROAR is like your personal shopping advisor.

6. GIPHY World

App Rating: 4.6/5.0

Available On: IOS

Price: Free

GIFs are already one of the most popular and lovable ways to communicate through messaging and social media, but Giphy didn’t want to end their empire there. After the viral success of Snapchat’s dancing AR hot dog, they developed an AR app called GIPHY World, which arguably makes AR communication just as fun and engaging as Snapchat does. The app lets you record AR GIFs and stickers directly into your videos, post them to the internet, and share them with your friends who also use the app.

Nowadays, not a lot of people complain about the amount of GIFs they receive — they usually rave about them. And since AR GIFs are novel, unique, and hilarious, their popularity will most likely soar.

7. Holo

App Rating: 4.4/5.0

Available On: IOS & Android

Price: Free

Similar to GIPHY World, Holo lets you place AR visuals into your photos and videos. But the main difference between the two apps is that Holo’s AR visuals, or holograms, are of celebrities and famous fictional characters. Taking a selfie with Spider-Man is entirely possible on Holo, and regardless if your friends believe you’re tight with Peter Parker or not, the AR app is still an incredibly unique and fun way to interact with people.

8. Just a Line

App Rating: 4.6/5.0

Available On: IOS & Android

Price: Free

As one of Google’s flagship AR apps, Just a Line is surprisingly simple — the only thing you can do on the app is make simple drawings.

But Just a Line can actually be just as fun and engaging as a more sophisticated AR app, if you’re creative. To draw things in the app, all you have to do is doodle on your phone’s screen. Then, you can press record to document your AR masterpiece.

Just a Line can also sync your phone with your friend’s phone, letting you both share the same drawing space and potentially play the most engaging Tic-tac-toe game of your life.

9. Splitter Critters

App Rating: 4.8/5.0

Available On: IOS & Android

Price: $2.99

Splitter Critters is an AR game that projects aliens who are lost in a forest onto a white box the game’s developer sends to you. By slicing the forest with your finger, your goal is to lead the aliens back home to their UFO. Splitter Critters might seem simple and straightforward at first, but there are a whopping 57 levels, so it’s definitely a challenge to beat the entire game.

10. Euclidean Lands

App Rating: 4.7/5.0

Available On: IOS

Price: $3.99

Euclidean Lands is like the 3D version of the popular mobile phone game 2048. To win, you need to hone your spatial awareness, geometry skills, and perspective taking. Thankfully, you can play the game in any wide-open space, making it easier to devise a strategy that will help you beat each level.

Please note that even though we have hand picked these apps, some may not work very well or have great reviews. The idea around this article is to give you an idea of what AR has been used for, not a curated ranking of our favorites.

  • Tweet Reality

It allows you to enjoy twitter using augmented reality. Pretty much all the main features you need are implemented! When thinking about AR, social media platforms may come to mind but thanks to Oscar for putting the hard work to get this done and show the world what AR Social platforms could be like.

  • Google Translate

As language barrier is something more and more companies are trying to fix, Google Translate in AR is quite interesting. One of the most upvoted comment in this video mentions that he hopes to have this in Google Glass. Which would actually be very useful. In the long term it will likely be a default feature for many tools. So far they support 38 languages.

  • Graphmented

It allows you to create charts using augmented reality. You can transform your whole desk into a spreadsheet workstation or a simple spreadsheet. Even though we have not used it much, it has quite an interesting approach. It definitely makes us curious about what a hologram version would be like when the time comes. I wouldn’t be against receiving our next shared spreadsheet as a hologram, would you?

  • Drops

Helps you learn a language using AR as well as numerous other approach such as visual learning. But as you can see in the video, it seems to show items floating in the air. What we are about to say is definitely not an easy task to accomplish but what we think would make this tool much more powerful is the name showing above the items you are pointing at based on what it can recognize. So if you pointed at a desk, it could translate desk, chair, computer etc. allowing a nice mix of Visual Learning and AR.

Feel free to suggest others in the comment section, but possibly include a reason why we should try it.

Augmented Reality in Healthcare Education: an Integrative Review

AR is paving its way into the field of healthcare application development with the promise to reimagine medical staff training and education along with patient diagnosing and treatment. The demand for augmented reality in healthcare will undoubtedly grow, as a recent Grand View Research report predicts a 23% CAGR growth for the global market for AR by 2025.

There are multiple approaches to augmented reality development, and its many uses can support health specialists in their training and work as well as advance the delivery of quality care.

AR for reshaping medical training and education

Medical students are required to dive deep into the theory of human anatomy, pathology, and invasive procedures. However, it is also beneficial for them to understand the health issues in the real world and the ways to address them. AR introduces interactivity into medical training and complements theoretic knowledge with case-based simulations.

Medical students are required to dive deep into the theory of human anatomy, pathology, and invasive procedures. However, it is also beneficial for them to understand the health issues in the real world and the ways to address them. AR introduces interactivity into medical training and complements theoretic knowledge with case-based simulations.

Additionally, AR can introduce gamification into imaginary care cycles to help practitioners in their training. Medical students will be able to view various clinical cases and then apply different diagnostic and treatment techniques, replaying any case as many times as they need. Such apps can be installed on tablets, smartphones, or smart glasses, overlaying patient cases on any surface, including campus walls.

Experienced health specialists can certainly benefit from additional AR training as well, polishing their skills and refreshing their knowledge.

Augmented reality across the care cycle

Augmented reality in healthcare also has the potential to introduce paperless environments into admission, discharge, and transfer (ADT) processes, facilitate procedures, optimize surgeries, and support patients after discharge. With each piece of delivery of care being enhanced with AR, providers can streamline workflows, making their staff more efficient and less burdened with tedious routines.

ADT through the looking glass

According to the United Nations, the population aged 65 and over is the fastest-growing of all population groups. Additionally, according to their world population prospects report, by 2050, there are expected to be 426 million people over the age of 80 globally. The aging population increases the burden on the healthcare system with more Medicare and Medicaid patients needing recurrent care and support from hospitals, home care agencies, and assisted living facilities.

To handle the increasing workload in hospitals, managers should first optimize basic procedures, such as ADT processes. Nursing staff should be able to perform certain tasks without heading to desktop EHRs and filling in paper forms every time. These could include managing patient records, preparing wards, keeping in touch with treatment plans, verifying dosing information, and requesting medical equipment.

Perfect for accomplishing this are AR apps designed for smart glasses. They allow nurses to keep both hands free while making arrangements or interacting with a patient. In particular, these apps can:

  • Document initial patient information during the admission process without wasting time using a tablet or writing notes on paper. Nurses can assign a ward or a bed, fill in the admission questionnaire, record patient vitals, check insurance information, and contact fellow specialists.
  • Ensure quality of care for patient stay via automated features. AR-based ADT apps can track care time and location, monitor task completion, and notify about treatment plan changes. Nurses can also double-check prescriptions and avoid improper dosing by sending requests to physicians.
  • Facilitate discharge and transfer processes with pre-set checklists that guide nurses at every step. They don’t need to wander around the facility searching for responsible specialists to sign forms, book medical equipment, or compose a discharge report. Everything can be done within the app.

Introducing AR into ADT will make related workflows reliable, with all processes in one place and under control.

Error-proof blood tests

Drawing blood from a patient is the basic way to find out what’s going on with their body, and this procedure can benefit from technological advancements too. Since not all veins, and patients, are the same, finding a vein on the first attempt can be challenging. AR provides a way to reduce the number of missed veins by using handheld scanners that use noninvasive infrared technology to show the vein system on a patient’s skin.

When the skin is scanned, the musculature appears red or green, and the veins are represented as dark lines. Health specialists can control the procedure with the vein finder, avoiding valves or bifurcations, and more successfully draw blood on the first attempt.

AR-guided surgeries

The stakes are high when it comes to more serious and invasive procedures, such as surgeries. Surgeons use a variety of tools and still need to watch over the patient’s vital statistics while operating. When performing microsurgeries, they work via the microscope. In the case of minimally invasive surgery, the surgeon navigates the process via an endoscopic camera.

While it can be challenging to keep an equal focus on all tasks, it’s imperative that surgeons do it in order to keep patients safe during and after the procedure.

AR in the form of smart glasses can significantly improve the surgeon’s focus and reduce the need to split attention between various monitors. All critical patient information and surgical site images are kept right before the surgeon’s eyes, helping to assure his or her concentration on the patient.

Some AR devices are designed with a specific focus, such as the spine. This technology creates 2D and 3D visualizations of the patient’s anatomy in axial and sagittal planes. It also tracks instruments and implants and supports navigation for both open and minimally invasive procedures. Surgeons can find the safest path into the spine regions they need to access even when the spine is damaged or deformed.

This AR system also uses sensors that collect surgical data and power machine learning to create alerts and suggestions, making the procedure even more controllable. Surgeons can achieve higher levels of precision in spine surgery, reducing the risk of complications, and succeeding even in complex cases of cervical pathologies, spinal traumas, skeletal deformities, and more.

Post-discharge support

After a patient leaves the hospital, their rehabilitation period isn’t always over. To recover from an invasive procedure or acute condition successfully, patients need to comply with a post-discharge treatment plan. Some patients may struggle with multiple changes to their daily life and need support during this time.

AR in healthcare can make the post-discharge routine more comprehensive and even entertaining.

AR allows for interactive patient education in disease prevention and treatment. Patients often feel left out when they don’t quite understand their condition, which could reduce their engagement with subsequent therapy.

Medical practitioners can use AR apps on smartphones and tablets to demonstrate to the patient and caregivers what is happening within the body and how it can be treated. With all parties being informed and involved, they can contribute to the patient’s recovery in the best possible way.

Augmented reality apps on smart glasses can engage patients to take care of their health after discharge. Becoming their personal digital assistants, AR apps can notify patients of the need to take particular medications and encourage them to follow nutritional guidelines. They can also remind about the need to exercise and offer fun ways to get more active, like reaching to pat a kitten or collect a coin.

Augmented future of healthcare becomes reality

While it hasn’t reached every corner of care delivery yet, augmented reality in medicine is a technology worth the investment. It is already being used to make healthcare safer and more precise.

AR helps medical students gain a better understanding of human anatomy, provides guidance for drawing blood, and helps health professionals navigate through complex spinal surgeries. We also anticipate that the future will bring in paperless environments across clinical and administrative processes and enable full-cycle post-discharge support. We expect that this technology will become the standard surgery assistance tool to reduce the number of preventable medical errors and complications.