Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices

Bring AI to the edge-where it matters most.

Edge AI with Raspberry Pi is a practical guide to running machine learning models directly on small, low-power devices like the Raspberry Pi. Whether you're building a smart camera, sensor hub, or autonomous robot, this book shows you how to deploy AI models without relying on the cloud.

Designed for developers, makers, and engineers, this hands-on guide walks you through everything from preparing your Pi for AI workloads to running trained models using tools like TensorFlow Lite, OpenCV, and Edge Impulse.

Inside, you'll learn how to:

• Set up a Raspberry Pi for machine learning tasks

• Use camera modules, microphones, and sensors with your AI models

• Run object detection, image classification, and audio recognition locally

• Optimize deep learning models for performance on edge hardware

• Convert models to TensorFlow Lite, ONNX, and other efficient formats

• Deploy models trained with platforms like Teachable Machine and Edge Impulse

• Handle input/output, real-time inference, and low-latency processing

• Build real-world applications like smart surveillance, gesture control, or voice commands

With working code examples, wiring diagrams, and deployment tips, this book helps you create intelligent IoT devices that work even without an internet connection.

If you want to explore the future of embedded AI, Edge AI with Raspberry Pi is your launchpad.