Authored by simulanis

Virtual Reality

Virtual Reality transposes us to a different world all together through the use of Head-Mounted Displays (HMD’s) such as the HTC Vive and Oculus Rift. Putting a VR Headset would leave you blind to your surroundings but will expand your senses to the experience within. You might, therefore, find yourself on top of Mars looking for water or in our case a pharmaceutical manufacturing plant operating complex and dangerous machinery such as the isolator. 0 Augmented Reality takes our current reality and adds overlays of various types of information on it. In other words, it simply augments our existing reality. AR usually takes place on your smartphone or tablet. Furthermore Perhaps the most recent development in immersive or reality technologies, mixed reality can be considered as an advanced form of AR, where overlays of information are placed on existing reality but shown through your mixed reality glasses or headsets. The physical and digital objects co-exist and interact in real-time.

These simulations can easily be installed and deployed on any PC based computer without the need for other visualization technologies. These types of models offer limited interactivity but are conveniently accessed and are a cheaper alternative to other immersive technology-based simulations.

360° degree videos capture real-life footage of every direction simultaneously in a spherical view using an omnidirectional camera such as the Samsung Gear 360. These videos can then be integrated with VR hardware such as Google Cardboard or Google Daydream. Unlike Virtual Reality based content, however, the interactions and mobility are restricted.

Gamification is the usage of game elements to engage and motivate users. Its methods like virtual environment can provide an excellent training ground for employees in the organization.

Smart simulators immerse users in a virtual environment but enable them to practice using the same tool or hardware they will typically be using whilst performing the task in reality. The more realistic the simulation is, the more effective the output. Deep Analytics application uses data processing techniques to fetch structured and unstructured data and analyze complex queries that can be valuable to the organization in performing day to day operations seamlessly.

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