Augmented Reality

How augmented reality will change the visualization of data

Viewing data is an integral part of Big Data projects that involve large-scale analytical operations in order to take advantage of the ever-increasing digital data generated and stored. There are limits in the amount of data that the human eye can absorb from a flat screen. This is where augmented reality plays an important role in helping users understand and analyze large data. The augmented reality immerses the user in a digitally created space with a 360-degree field of view and a three-dimensional simulated motion. This process greatly increases the bandwidth of data that are available to our brain.

The use of augmented reality (AR) in data visualization helps to deal with problems such as narrow visual angle, navigation, scaling and limitations of human perception. For example, by wearing the HoloLens headset, users can have a full 360-degree view, thus resolving the visual angle problem. Not only that, these devices can also help users while browsing in a large amount of data. By adopting a dynamic projection as well as interactive visualization methods, Augmented Reality Devices and Motion Recognition Tools solve the scaling problem. This technology becomes even more relevant when the data are multidimensional as in the architecture domain.

There are many devices and applications to help users with augmented reality technology. However, the Virtual Reality Helmet (VR) and the HoloLens are the most important. The VR helmet offers a virtual reality immersive to the wearer. These headphones are equipped with head mounted stereoscopic displays, stereo sound and motion sensors. They are mainly used in computer games and to simulate real environments. Recently, smartphone companies also design and manufacture virtual reality headphones for smartphones. The VR content can be viewed directly from the camera screen via the VR lenses instead of the dedicated internal screens. Whereas the HoloLens is a device that helps bring content to life. HoloLens realizes projects of holograms, superimposition of objects and places, even of people, directly on all that is already in place. The user can actually interact with holograms on the HoloLens port. With only a contraction of the thumb and forefinger, things can be smaller or larger. For example, you have plenty of data, but in formats that can be difficult to process and prioritize, such as long flows of figures on multiple monitors, each representing something different. So, in order to quickly extract the exact meaning of the information, you can use a combination of 2D and 3D presentation of the data for better understanding. In this way, Augmented Reality helps to increase efficiency while reducing time, cost and cognitive burden of working with abstract data. WiBeCom brings the same expertise to any field involving the interpretation and collaboration of data by developing a wide range of tools and applications for data collection, interpretation and analysis.

Conclusion:

Many challenges arise when processing and analyzing data. This is because the data set is viewed by computers that cause difficulties in extracting data because of the limitations of human perception and cognition. However, Augmented Reality contributes to the improvement of human perception and visualization. The use of AR tools allows convenient access to a large number of data and offers a view from different angles. Navigation through the data becomes smooth using a tangible and verbal interaction.

WiBeCom can develop applications and put together different tools to implement your data in Augmented Reality.

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