GoKawiilDownload Chapter 9: Sensor Machine Learning
You already know how to build embedded systems. Now it’s time to make them intelligent.
Adding AI to an embedded device takes more than training a model. You have to choose the right hardware, collect and prepare data, deploy models to resource-constrained devices, and integrate everything into a system that performs reliably.
Drawing on more than 30 years of embedded engineering experience, David Such takes you through the complete engineering process. You’ll work through more than 25 hands-on projects (complete with downloadable source code, schematics, PCB designs, and datasets); no machine learning experience required.
You’ll build:
A wake-word detector that responds to your voice
A real-time AI noise suppressor
An AI-powered MIDI synthesizer that composes music
A battery monitor that collects its own training data
A person detector that runs a neural network on a camera board
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