Neuware -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 RaspberryPi AIHAT+ and the Hailo-8L accelerator. You'll start with clear foundations: coreAI and machine-learning concepts, how neural networks work, and what truly distinguishes EdgeAI 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 RaspberryPiOS, power and cooling, and develop in Python using the ThonnyIDE. You'll learn GPIO basics with lights and servos, mount the AIHAT+ 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 EdgeAI from buzzword into buildable reality. 208 pp. Englisch.

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Bibliographic Details

Title: Edge AI Made Practical
Publisher: Elektor Verlag Feb 2026
Publication Date: 2026
Language: English
ISBN 10: 389576714X
ISBN 13: 9783895767142
Binding: Taschenbuch
Condition: Neu
Dimensions: 237 millimeters width by 168 millimeters height by 13 millimeters depth
Weight: 404 grams

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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.

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Contracting Party, Conclusion of Contract, Correction Options
Contract Language, Storage of Contract Text
Delivery Conditions
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