Combining AI and AR in digital device apps

Posted By :Vikas Verma |29th February 2020

The two are most promising technologies available to mobile app developers are Augmented reality (AR) and artificial intelligence (AI). Rapidly evolving tools in market nd Huge hype cycles has blurred the lines between the two, making it very difficult to show that where one end and other begins. This post aims to recapitulate AR and AI. In this case we discuss how both of these things work together, the current state of the APIs and SDKs individually, and the other ways to combine them to create a more  user experience and to use of both.


 Augmented reality (AR)

AR technology places virtually 3D visual into a “real-world” experience that provides ideas to user about appearance that the virtual object is co-existing with them in the physical world. 

AR is often used in gaming, bringing a more realistic experience to gamers in term of user experiences,  also engaging more senses then before and now also  helpful in the shopping experience. 

Before this shopping online is  only limited to product photos and description or occasionally, there’s a video or 360 degree image but compare that to an AR experience – one where you can see how a products looks on on them or how a table fits in your kitchen or other furniture fits in there houses and have accuracy to 98% about the size depending upon the user input. 

It uses  sensors to learn the position and orientation and other useful information of the device of the divice to provide best user experience. The most common sensors use in this type of AR:
Accelerometer sensor  -  used to measure acceleration forces applied to that device,
Gyroscope sensor- angular speed around all axes in 3D space,
Magnetometer sensor - measures the ambient magnetic field in all axes.
Using these sensor, it’s possible to calculate the exact rotation of each axis in 3D space . In order to use these, there is another sensor which is use in  placeing a 3D objects at some distance using GPS data along with other sensor data.


Artificial intelligence (AI)

AI has already made a lot of buzz in the mobile app development industry. Easy real-time access to the data robust analysis tools and more cheap and available screens have become even more powerful - has become our daily routine in society.

The usage of Artificial Intelligence is profoundly differed, contingent upon explicit enterprises.  Face recognition, , robotics, chatbots, spam filters, cloud APIs, data mining, natural language processing and any more are most commonly used for many goals. Let's take a example of  integrating with an environment-aware smart detector, inserting built-in intelligence to popular business applications, and  installing chatbots into retail screens and POSs . And, what is most important, AI has become a normal thing in everyday life that it's already used in small shops and many industrial factories and also we become so familiar with these .


Putting it all together

AI and AR are both distinct technologies, but they can be used together to create unique experiences and provide better user experience to the user or a organisation to achieve there goals.
In AR, a 3D representation of the world must be constructed to allow digital objects to exist alongside physical ones. Visual data is used along with the help of an accelerometer and gyroscopes to build a map of the world and track movement within it using these. Most of these tasks are still performing by using of  traditional computer vision techniques that make no use of machine learning.
Independently, however, AI models have gotten incredibly good at doing many of the things required to build immersive AR experiences for the users.By the help of deep neural networks which can detect both vertical as well as horizontal planes,   segments images for realistic occlusion, and  in real-time estimate depth and even infer 3D positions of objects. Because of these abilities, By using AI models some of the replacing more traditional computer vision approaches underpinning AR experiences.

Source: Website

Artificial intelligence models are also being layered on top of Augmented reality. Faces can be swapped in real-time, can changes voice in real-time, changing a person’s age or gender and also detect person's age  . When done right, Artificial intelligence and  Augmented reality work seamlessly together to create immersive mobile experiences and user interaction.

About Author

Vikas Verma

He is frontend developer. He is a learner by heart and has a passion and profile to adapt various technologies.

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