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Analysis and post processing

Home > What we do > Sensing, imaging, IoT > Internet of Things (IoT) > How a typical IoT system works > The CENSIS IoT stack > Analysis and post processing

Analysing and processing the data

When data arrives in the cloud, a typical task would be for a software application to

  • Unpack the data
  • Extract the values from each sensor (for example, temperature, humidity)
  • Check that these values are within acceptable ranges.

Processing in the cloud

IoT devices normally send data to the cloud for processing. Its huge processing power enables the execution of complex algorithms, machine learning and artificial intelligence to extract maximum value from the data.

Benefits of cloud processing

  • Huge processing power can perform complex tasks
  • Data analytics can be performed on incoming data to detect trends or abnormalities

Analysis of the data

Analysis of the data is where the real value is unlocked and many IoT companies build their value proposition around this.

For example, a business manufactures and sells hardware for sensing the movement of people or traffic through an area. Analytics are performed on the captured data. These analytics can be used to detect trends or anomalies in the movement of people or traffic, which becomes a “service” they can sell to improve the efficiency of other systems.