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(I-SoftwareNews.Com, August 10, 2016 ) Augmented Reality (AR) is a combination of virtual and real time environment, where users are immersed into virtual environment and also experience the real time objects as well. Technically AR is not dependent on wearable devices such as head mount displays, glasses, etc. AR runs on a simple application based context, which enables user to execute these applications locally on their smartphones and tablets. AR has been entering the mainstream off-lately with wide range of application catering to various end-user industries such as industrial, manufacturing, consumer electronics, architecture, retail, and medical among others.
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One of the examples for AR application used by shops and restaurants include the famous Yihaodan AR applications which is being used in China. Yihaodan is China`s largest online grocery store. By integration of AR applications, the store established around 1000 virtual stores, only the app would facilitate the customers to view these 1000 stores and this strategy of implementing AR effectively increased the sales and traction of customers to the stores.
In recent times, AR is gaining more traction in industrial applications for example in a manufacturing facility, the operations can be carried out more easily and smoothly. The site managers are enabled to view and monitor machines and live production through AR applications. This will enhance more safety and helps in identifying and understanding the flaws of production in more efficient ways. This process is also known as remote visualization and inspection.
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Technologies such as IoT, cloud computing, Big Data and others are main streaming into businesses, AR will be one of the key technology to facilitate data analysis and visualization. Enterprises and social media sites produce enormous amount of data, many organizations are adopting Big Data where the data collected is mined and analyzed for results and traditionally the results are represented in more consistent formats and poor visualizations. More research and development is observed in improvising visualization techniques. More likely techniques for changing upon present Big Data visualization methods would include both AR and VR that are best suited for limited target segment.
Some of the enterprise level applications of Augmented Reality includes product design, manufacturing facility design, assembly, training, marketing and sales, field services, emergency response, surgery, medical inspections, assembly for small and aircraft technician training through simulation among others.
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Source: EmailWire.Com 
Source: EmailWire.com
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