The growth of Augmented Reality (AR) applications in recent years can be attributed to solutions that allow consumers to visualize products and imagine what it might feel like to own the product or experience the service before actually purchasing it. As augmented technology becomes more sophisticated and the cost-saving and business applications expand, the demand and investment in AR will increase. It is predicted that there will be around one billion augmented reality users by 2020.
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What is the technology all about?
Superimposition Based AR
Whether partially or dull developed, most AR app development companies employ superimposition based augmented reality to create a newly augmented view of an object that can be used to replace the original view of the very same object. The app will only be able to effectively replace the original view of an object with an augmented one only when it can determine the object model. So, when it comes to developing AR apps based on superimposition, it is important to understand the role object recognition plays. A typical example of this form of AR technology can be observed in the PaleBlue’s Augmented Reality Tool Set. This type of superimposition based AR strategy presents a strong enduser example that enables users to strategically locate and see virtual x-rays on their own patients with the help of augmented reality (AR). All they need to do is to download the app and use it to scan digital x-ray and view it on a live body part.
Projection-Based Augmented Reality
With this technology, users can easily get involved with a new form of AR which simply projects artificial light onto real-world surfaces. It allows for human interaction by releasing light onto a real-world surface and then stimulating the human interaction of the projected light through touch or any other means. Most projection-based augmented reality apps are designed to detect user interaction by differentiating between a known or expected project and the altered projection which occurs as a result of the user’s interaction. The use of laser plasma technology to launch an interactive hologram (based on a three-dimensional analysis) into mid-air is another interesting application of projection-based AR.
Markerless Augmented Reality
This technology is one of the most widely utilized applications of augmented reality. Also known as GPS, position based, or location-based, markerless AR employs an accelerometer, velocity meter, digital compass, or GPS embedded in the device to provide data based on the user’s location. The wide availability of mobile devices (tablets and smartphones), as well as their enhanced location detection abilities, have helped to establish a strong force behind the growth and expansion of the markerless augmented reality technology. This technology is commonly featured with location-centric mobile apps that are used for finding nearby businesses and mapping directions.
Marker-Based Augmented Reality
Also known as Image Recognition, any AR app development company can employ the marker based AR technology to create application-based results. Basically, it involves the use of a distinct, but simple pattern such as a QR/2D code and a camera to produce results. This is only achievable when a reader is used to sense the marker. The camera on the device plays an important role in helping to distinguish a marker from other real-world objects.