Edge AI Deployment Handbook for IoT: 70 Hands-On Builds to Run Models on Devices with Limited Resources: Optimize for Low Latency, Privacy, and Energy

$13.99
by Riches Wren

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Unlock the Power of Intelligent IoT Devices—Even with Limited Resources! In a world where billions of IoT devices generate massive data streams, traditional cloud-based AI falls short. Enter Edge AI Deployment Handbook for IoT by Riches Wren—the ultimate guide to deploying AI models directly on resource-constrained hardware like microcontrollers, sensors, and single-board computers. This comprehensive handbook empowers you to build smarter, faster, and more efficient IoT systems that prioritize low latency, data privacy, and energy savings, without constant cloud dependency. Discover why Edge AI is revolutionizing IoT: Process data locally for real-time decisions, reduce bandwidth costs, enhance security in sensitive applications, and enable autonomous operation in remote or offline environments. Whether you're tackling smart home automation, wearable health monitors, industrial predictive maintenance, or agricultural sensors, this book equips you with the knowledge to optimize AI for the edge. Key Features Include: 70 Hands-On Builds: Step-by-step projects to run lightweight AI models on affordable devices like Raspberry Pi and Arduino. Dive into practical applications across industries, from detecting anomalies in factory machinery to monitoring environmental conditions in fields. - Foundational to Advanced Coverage: Start with the basics of Edge AI and resource-constrained devices, then explore optimization techniques, popular frameworks (TensorFlow Lite, Edge Impulse, TinyML), and hardware selections. Delve into advanced topics like privacy-preserving AI, sustainable energy practices, and scaling for large IoT networks. - Real-World Focus: Learn to address challenges like latency in autonomous vehicles, privacy in healthcare wearables, and efficiency in smart cities. Each chapter includes actionable insights, examples, and troubleshooting tips. - Bonus Resources: Access a GitHub repository with all project code, a companion website featuring video tutorials, a glossary of terms, hardware/software recommendations, and an appendix for common issues. Perfect for developers, engineers, hobbyists, and innovators, this first-edition 2025 release demystifies Edge AI, making it accessible for all skill levels. Transform your IoT ideas into reality—grab your copy today and start building the future of connected intelligence!

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