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IoT tool kit simplifies collection of sensor data

Posted: 07 Jun 2013 ?? ?Print Version ?Bookmark and Share

Keywords:Freescale? IoT? framework? sensor data?

Freescale has recently offered out an open-source toolkit that aims to lower the expertise bar for developing context-aware applications. The Xtrinsic intelligent sensing framework(ISF) aims to ease designer's differentiation of IoT devices by simplifying the backend work of collecting and fusing sensor data for context-aware use cases.

The Xtrinsic ISF not only eases these integration tasksspeeding development with customisable libraries of common sensor fusion tasksbut also aims to boost product differentiation for IoT applications by allowing designers to "see the forest" as a whole instead of just thousands of "tree" data points streaming in from sensors. Specific use cases addressed by the ISF include industrial systems, medical equipment, consumer devices and any IoT device leveraging real time sensor fusion.


Figure 1: Freescale's toolkit called the Xtrinsic intelligent sensing framework (ISF) is an open-source' resource for leveraging sensor fusion in context-aware Internet of Things (IoT) applications.

All sensor data is integrated into a single dashboard-like view which provides a unified methodology for obtaining, calibrating, scaling and displaying sensor data. Combined sensor views also simplify applying sensor fusion algorithms to serve specific context-aware domains and use cases.

Pre-built adapters handle all the communications details for collecting sensor data and built-in power-management, host proxy and command interpreter functions as well as simplify the coding effort especially for novel sensor arrays mixing sensors from various manufacturers.

An easy way to get a leg up, for newbies and veterans alike, is to design around smart sensor hubs like Freescale's FXLC95000CL, which combines a three-axis accelerometer with a ColdFire 32bit microcontroller in the same package running its own real time operating system (MQX). Such sensor hubs can add-on any number of auxiliary sensors to serve specific applications, but confine all the sensor fusion and context-aware algorithms to the ColdFire processor, thus offloading the IoT device's application processor from these tedious real time tasks.

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