Accelerating the Industrial Internet of Things
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Intel Case Studies Kodisoft Develops Interactive, Innovative Smart Tables Using Augmented Reality

Kodisoft Develops Interactive, Innovative Smart Tables Using Augmented Reality

Kodisoft Develops Interactive, Innovative Smart Tables Using Augmented Reality

Kodisoft wanted to disrupt the accepted modes of operation in the restaurant business by bringing to market its Interactive Restaurant Technoogy (IRT).

To do this however, it needed a compact, high-performance and low power computing system on which to base its Augmented Reality technology.

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Kodisoft specializes in developing innovative technologies that disrupt established modes of operation. After years of extensive research into the restaurant and catering industries, Kodisoft brought to market its Interactive Restaurant Technology* (IRT)* Based on the Intel® NUC platform powered by 5th generation Intel® Core™ i7 processors, together with Intel® Edison boards, IRT is transforming the dining out experience

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Kodisoft chose the Intel NUC platform powered by Intel Core i7 processor to power its smart tables as it provided a all-in-one-computing solution.

Kodisoft also used the Intel Edison platform to perform high-performance analytics to process the data from the touch sensors in the ultra HD resolution tabletop at a fequenczy of 410Hz.


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Emerging (technology has been on the market for > 2 years)
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Transforming dining - IRT presents restaurateurs with the opportunity to make their establishments more attractive, more interesting and more hi-tech.


On average and according to internal assessments, restaurants using IRT have seen sales rise by 32 percent

Restaurants that have already deployed IRT are able to generate completely new income, up to 52 percent of their turnover, from advertisers.

Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
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