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Big Data Analysis

Data

As a drone flies, data is collected. After the device lands, the pictures, recorded video and in-flight navigation parameters are sent via WiFi directly to your computer for further analysis or entertainment. You can enhance the flight data with the Google maps and other data.

Big Data Analysis

Aileronex specializes on Big data crunching analyizng data gathered by on-board sensors that a drone might carry. The practical application is environmental monitoring such as air pollution.

Drone Technology and Internet of Things

The sensors can be embedded anywhere and eventually be hooked up to a network or as we called it Internet of things. Big data promises we’ll know everything there is to know about these networked sensors. The drone technology allows to put  the sensors into the places that would not otherwise be reached. What happens when you put those innovations together? We can create real-time picture of the air quality and set up the alarm about the places where pollution is above the safety level.

Sensors – To be part of the Internet of Things, a sensor must somehow be scannable, so its state can get entered into a database somewhere; and those pieces of information then need to become part of the large-scale, crunchable data sets known as Big Data. This doesn’t mean they must have a persistent Internet connection like a smartphone or tablet—but at the very least, they must have some way of signaling what they are.

Making The Connection

It’s easy to understand the connection between Big Data and the Internet of Things: Anything connected to a network spews data, and something must collect and analyze that data. All three of these elements are pretty much present already: real-time data-analysis software that can measure and crunch the specifications for devices in minutes as opposed to days; components that can be built with unique identifiers to ensure exact assembly; and the drones that can lift out the sensors on-premises or on as-needed basis.

Robots can scan for InfraStruct devices Robots can scan for InfraStruct devices

The ability to directly embed readable codes directly within objects would mean that any object created in such a fashion could immediately be a part of the Internet of Things. The example used by Carnegie Mellon’s Karl D.D. Willis for the InfraStruct project was a robot equipped with a terahertz scanner that could seek out and find an encoded object. That might be a vacuum cleaner trying to avoid some toys on the floor, or a factory robot seeking the exact part it needs to deliver to the assembly line. For all kinds of robotics applications, that kind of functionality would be phenomenal.

In the past, terahertz radiation, which can see though most non-metal objects without damaging living tissue (as microwaves do), was expensive to generate. But recently, scientists at the University of Texas Dallas announced breakthroughs in developing a microchip that could be used as a terahertz scanner, even inside a smartphone. Given that smartphones will likely be our personal connection and control device to the Internet of Things someday, that would bring the Internet of Things much closer to everyday objects in our lives.

Willis also sees potential uses for this technique in real-time game interaction, with manufactured objects being put into play, literally.

These scenarios are closer than we think to reality. Once we link together innovations like 3D printing, the Internet of Things, and Big Data, the sky’s the limit on what we can dream up. We won’t just be able to build any object we need—it will instantly become part of our networked world.

 Here are some current tech buzzwords:

  • Internet of Things – Our things send sensor measurements to the internet.
  • Cloud services – Our offering is a scalable mash up of cloud services from Amazon, 46Elks, Google, Xively …
  • NoSQL – The latest in redundant and syncing databases means our basic data collection does not suffer even if todays cloud giants Amazon or Google would disappear tomorrow.
  • Big Data – There is basically no limit to how many sensors can be connected to our services. Using the search technology pioneered by Google, it is also quickly accessible when needed.
  • Open Data – Pushing the collected data to other services like Xively means our customers and partners can benefit from existing applications and even build their own service offerings around the collected data.
  • Mobile apps – Built on top of Xively we offer a free app for their users.
  • NFC – By using NFC technology we radically cut costs of IoT devices and even deliver a superior mobile user experience out in the fields.
  • Arduino – By using the most widespread hardware education platform in the world we build upon a waste community of knowledge which minimizes development time.
  • Open Source – We stand upon the shoulders of giants.