Embedded AI

The book guides readers through adding AI to embedded devices, covering hardware selection, data collection, model deployment, and system integration, drawing on over 30 years of embedded engineering experience. It includes more than 25 hands-on projects—such as a wake-word detector, real-time noise suppressor, AI-driven MIDI synthesizer, self-training battery monitor, and camera-based person detector—providing source code, schematics, PCB designs, and datasets for Arduino UNO, Raspberry Pi Pico, and specialized boards.