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Chapter 23

Data, edge computing and AI on the edge

4 min read7 sections
In this chapter · 7 sections
  1. Logging data
  2. Visualising data
  3. Edge, fog and cloud computing
  4. TinyML: machine learning on microcontrollers
  5. Computer vision options
  6. Connecting IoT to large AI models
  7. Digital twins and predictive maintenance

Collecting data is only half the job; value comes from storing it well, showing it clearly and acting on patterns.

Collecting data is only half the job; value comes from storing it well, showing it clearly and acting on patterns. Today even a small ESP32 can run a trained AI model, so devices can recognise sounds, gestures and faults without the cloud.

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