Augmented Reality with Internet Of Things

Moving over from virtual reality, Augmented Reality technologies and more recently Mixed Reality(MR) technology are converging with the Internet Of Things(IoT). One of the central promises of the internet of things is to make our world smarter, which can only happen when the right information is provided at the right time. IoT is all about gathering data and turning it into information and Augmented Reality is all about providing people doing the work with the information provided in a form that allows them to do more of the work.

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You can get the same data without AR, but combining it with the Internet Of Things (IoT) sensor data and with the ability to overlay and display data directly on top of the product will make the instructions context-sensitive.

For the implementation these smart connected products using an Augmented Reality and Internet Of Things platform requires a comprehensive, integrated approach, combining new technologies by effective management. It requires managed services and embedded hardware or software.

Augmented Reality is a technology widely used in gaming, automotive, industrial, aerospace and other rapidly emerging industries. When combined with IoT and analytics platforms, they can unlock new opportunities for product design and management.

There are numerous possibilities by combining Augmented Reality and Internet Of Things. By using AR as an interface for the Internet of Things it can provide a visual medium to display a lot of data clearly and quickly. It will allow us to engage more deeply with what’s around us. Other applications for this engaging technology are likely to be games.

To your surprise, augmented reality will actually become the silent trigger puller for IoT devices and interfaces. Let us explain this with some real life examples. Thanks to augmented reality, the division line between the digital and real life interactions has already been blurred in many apps and interfaces. Augmented reality also paved the remote interaction with things through a mobile device.

There have been significant Augmented Reality applications consumers take advantage of Google and Apple mobile platforms, either they use the existing mobile platforms or using third party wearable hardware like Wearable glasses. In the time to come thanks to prototypes made with augmented reality technology, workers in a factory will be able to procure skills and deliver faster than ever before. With augmented reality apps retail shops will produce a perfect shopping experience in the customer’s place. With augmented reality leveraged through apps and devices, there will be a bigger push for the connected environment of Internet of Things.

AR will continue to boost the effectiveness of Internet of Things in more ways than one. For instance, the engineers of the future will be benefited from the connected virtual gauges that can help the operators maintaining the temperature of an engine. With AR capable apps connecting a vehicle, the maintenance task can be remotely observed while the connectivity through an IoT-based engine or other parts will help to send real-time instructions. This is just one example of how AR capable devices and apps can help to push the boundary of the IoT in different environments.

With IoT-powered connected devices and interfaces becoming common across all facets of life, the same devices and interfaces will give more power to users with Augmented Reality apps. In an IoT led environment, end users will only need to adapt to rich real-life interactive AR apps to make his experience better, richer and easier. For example, in a connected home environment, an AR-enabled camera besides controlling gadgets can also transmit real-time video footage of the home when you are away from the house. Thus the possibilities of interaction between IoT environment and AR applications will continue to unfold new opportunities.

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Ritesh Kanjee has over 7 years in Printed Circuit Board (PCB) design as well in image processing and embedded control. He completed his Masters Degree in Electronic engineering and published a paper for IEEE called Vision-based adaptive Cruise control using Pattern matching (on Google Scholar). His work was implemented in LabVIEW. He works as an Embedded Electronic Engineer in defence research. He has experience in FPGA design with programming in both VHDL and Verilog.