The AI-Powered Smart Home

Benny Green

Jun 2026 · BENNY GREEN

Ebook

236

Pages

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About this ebook

The AI-Powered Smart Home is a detailed, practical guide to Building a Smart Home with Raspberry Pi and AI for readers who want a clear path from understanding the topic to using it confidently in real situations. The book is designed as a structured learning companion rather than a shallow overview: it introduces the core ideas, explains why they matter, then develops them through realistic examples, guided practice, scenario-based explanations, and common mistakes to avoid. Readers are taken step by step from foundational concepts into everyday applications, with each chapter building on the previous one so the material feels progressive, usable, and easy to revisit. The main areas of focus include Why Your Home Needs AI, Selecting the Right Raspberry Pi and Accessories, Setting Up Your Development Environment, AI Fundamentals for the Internet of Things, Sensors and Actuators: The Foundation of Home Automation, Building a Temperature and Humidity Monitor, Adding Motion Detection with PIR and Camera, Voice Control with Offline Speech Recognition, Face Recognition for Personalized Security, Integrating Everything with Home Assistant, giving the book a concrete learning arc that moves from orientation and confidence-building to applied communication, problem solving, and independent practice. The writing style is direct, supportive, and accessible, making the book suitable for self-study, classroom reinforcement, professional development, or personal improvement. It emphasizes practical understanding over abstract theory, so readers can immediately connect the lessons to conversations, decisions, habits, and challenges they are likely to face outside the page. By the end of the book, readers should have not only a stronger grasp of the subject, but also a collection of repeatable strategies, useful language patterns, mental models, and practical routines they can continue applying after they finish reading.

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About the author

Benny Green is a systems architect and IoT enthusiast with over fifteen years of experience in embedded systems and machine learning. He began his career designing low‑power sensor networks for agricultural monitoring, then moved into building commercial voice‑controlled automation systems for assisted‑living facilities. His work has been featured in *Make: Magazine*, *Hackaday*, and the official Raspberry Pi blog.

After leading the engineering team at a smart‑home startup that deployed over 50,000 edge‑AI devices, Benny became frustrated with vendor lock‑in and privacy‑eroding cloud dependencies. He founded the open‑source project **LocalIntelligence**, which provides reusable code for running AI models entirely on Raspberry Pi and similar boards. The project has garnered over 2,000 stars on GitHub and is used in makerspaces, universities, and small businesses worldwide.

Benny is also the author of *Practical Machine Learning with Raspberry Pi* and *Embedded AI: From Prototype to Production*. He lives in Portland, Oregon, where his own home runs on three Raspberry Pis—one managing the security system, one controlling the indoor climate, and one dedicated to experimental sound recognition for detecting running water leaks. When not tinkering, he teaches community workshops on ethical AI and mentors young developers through the Raspberry Pi Foundation’s Code Club program.

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