Augmented Reality

Various technologies are used in augmented reality rendering, including optical projection systems, monitors, handheld devices, and display systems, which are worn on the human body. A head-mounted display (HMD) is a display device worn on the forehead, such as a harness or helmet-mounted. How and where do you find individuals with such an array of both knowledge and skills? You partner with Alphanumeric Group Inc. and let us use our four decades of search experience to identify, locate, recruit and assist in the hiring of this rare individual.

Augmented reality (AR) is an interactive experience of a real-world environment where the objects that reside in the real world are enhanced by computer-generated perceptual information, sometimes across multiple sensory modalities, including visual, auditory, haptic, somatosensory and olfactory.

The number of brands that have adopted augmented reality projects is endless. AR blends physical and digital worlds to create an experience within the tiny space of a few-inch widescreen. That makes it a thing of fascination for businesses all around the world who are vying to win customer attention.

 

Augmented reality works like a tech that is straight out of the Star Wars series. It is a technology that can project digital media superimposed on real-world surfaces without demanding any heavy hardware or software requirements. AR is powered by three major technologies. They are responsible for collecting real-world images, processing them and overlaying them in digital media… be it text or imagery

Technologies that power augmented reality 

Three major technologies make augmented reality work. These, are the technologies that make it possible to superimpose digital media on physical spaces in the right dimensions and at the right location. They do not work as standalone technologies; instead, they interact with each other by supplying data to one another to make AR function. 

  • SLAM (simultaneous location and mapping)
  • Depth tracking
  • Image processing and projection

    SLAM renders virtual images over real-world spaces/objects. It works with the help of localizing sensors (like gyroscope or accelerometer) that map the entire physical space or object. A complex AR simulation is conducted by its algorithm, which renders the virtual image in the right dimensions on the space or object. Most of the augmented reality APIs and SDKs available today come with built-in SLAM capabilities.

    Depth tracking is used to measure the distance of the object or surface from the AR device’s camera sensor. It works the same as a camera would work to focus on the desired object and blur out the rest of its surroundings.

    Image processing and projection… Once SLAM and depth tracking is completed, the AR program will process the image as per requirements and projects it on the user’s screen. The user screen could be a dedicated device (like Microsoft HoloLens) or any other device with the AR application. The image is collected from the user’s device lens and processed in the backend by the AR application. SLAM and Depth tracking makes it possible to render the image in the right dimensions and at the right location.

How AR applications detect objects 

A handful of other subset technologies make AR work. Primary among them are two types of technologies that detect objects: trigger-based and view-based. Both trigger-based and view-based augmentations have several subsets.

Trigger-based augmentation
There are triggers that activate the augmentation by detecting AR markers, symbols, icons, GPS locations, and so on. When the AR device is pointed at the AR marker, the AR app processes the 3D image and projects it on the user device. Trigger-based AR can work with the help of:
Marker-based augmentation
Location-based augmentation
Dynamic augmentation

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Marker-based augmentation 

Marker-based augmentation works by scanning and recognizing AR markers. AR markers are paper-printer markers in the form of specific designs. They look more or less like bar codes and enable the AR app to create digitally enhanced 360-degree images on the AR device.

Location-based augmentation 

In this method of augmentation, the AR app picks up the real-time location of the device and combines it with dynamic information fetched from cloud servers or from the app’s backend. Most maps and navigation that have AR facilities, or vehicle parking assistants work based on location-based augmentation.

Dynamic augmentation 

Dynamic augmentation is the most responsive form of augmented reality. It leverages motion tracking sensors in the AR device to detect images from the real-world and super-imposes them with digital media.

View-based augmentation 

They are dynamic surfaces (like buildings, desktop surfaces, natural surroundings, etc.) which are detected by the AR app. The app connects the dynamic view to its backend to match reference points and projects related information on the screen. View-based augmentation works with the help of:

  • Superimposition-based
  • Generic digital augmentation

Superimposition-based augmentation 

Superimposition-based augmentation works by detecting static objects that are already fed into the AR application’s database. The app uses optical sensors to detect the object and relays digital information above them.

Generic digital augmentation 

Generic digital augmentation is what gives developers and artists the liberty to create anything that they wish the immersive experience of AR. It allows rendering of 3D objects that can be imposed on actual spaces.

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