Edge AI Made Practical - Günter Spanner

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Résumé :

Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time-fast, private, and reliable even when the network disappears.

This book is your practical guide to building exactly those kinds of systems with the Raspberry?Pi AI?HAT+ and the Hailo-8L accelerator. You'll start with clear foundations: core?AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge?AI from cloud AI-plus an honest look at ethical considerations and future impacts.

Then it's straight to hands-on physical computing. Step by step, you'll set up Raspberry?Pi?OS, power and cooling, and develop in Python using the Thonny?IDE. You'll learn GPIO basics with lights and servos, mount the AI?HAT+ hardware, install and verify the Hailo software stack, and connect the right camera-official modules or USB webcams, even multiple cameras.

From your first pipeline to real projects, you'll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You'll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.

With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge?AI from buzzword into buildable reality.