Creating a base architecture for sensor data

We’re heading towards a world of perfect knowledge. With so many   sensors gathering data everywhere (autonomous cars, satellite systems, drones, wearables, cameras), you’ll be able to know anything you want, anytime, anywhere, and query that data for answers and insights.

The Internet of Everything describes the networked connections between devices, people, processes and data. By 2025, the IoE will exceed 100 billion connected devices, each with a dozen or more sensors collecting data. This will lead to a trillion-sensor economy driving a data revolution beyond our imagination

To be able to  render perfect knowledge, where perfect  knowledge can be defined as availability of all data in the environment in order to generate  accurate intelligence by incorporating  every parameter (both visible and hidden) in the environment.

To keep it simple, we need to  a platform that can collect and unify data across sensors to  synthesize  intelligence  and pass  decisions to the motor parts. For a robotic application, like an intelligent construction robot, the task would be to constantly measure angle, distance, displacement, force and other parameters to be able to perform like a human. This would require constant data collections from all the sensors and analyze next steps in real-time

Platform outlines  how  various unique sensors that can measure  energy fields can be combined  to arrive at  synthesized intelligence for automation (decisions and next actions)


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