Unlock the Power of Edge AI with ESP32-CAM: A Hands-On Guide to Building Cutting-Edge IoT Surveillance, Face Recognition, and Object Detection Systems
Are you ready to dive into the world of Edge AI and create intelligent systems using one of the most powerful and affordable microcontrollers? Whether you're a beginner looking to get started with ESP32-CAM or an experienced developer eager to build real-world applications, this book is your complete guide to mastering IoT surveillance, face recognition, and object detection projects.
In ESP32-CAM Edge AI Projects (Vision Systems), you’ll learn how to use the ESP32-CAM module to build powerful AI systems that run directly on the device, without needing to send data to the cloud. Using step-by-step instructions and practical examples, you’ll unlock the full potential of TinyML to create smarter, faster, and more efficient IoT systems.
What’s inside:
Build real-time IoT surveillance systems with live video streaming and motion detection
Create your own face recognition applications for security and smart access control
Implement cutting-edge object detection using TinyML and ESP32-CAM
Optimize your models for Edge AI to run on low-power devices with maximum efficiency
Learn by doing, with detailed projects, practical exercises, and common troubleshooting tips
Whether you're looking to enhance your skills in Edge AI or you're building your first surveillance system, this book equips you with the knowledge, tools, and confidence to build professional-grade projects. No experience with AI or microcontrollers? No problem. We start with the basics and guide you through every step.
Start building smarter systems today with the ESP32-CAM and unlock the future of IoT and Edge AI.
Perfect for hobbyists, students, and professionals alike, let your imagination lead the way!
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Unlock the Power of Edge AI with ESP32-CAM: A Hands-On Guide to Building Cutting-Edge IoT Surveillance, Face Recognition, and Object Detection SystemsAre you ready to dive into the world of Edge AI and create intelligent systems using one of the most powerful and affordable microcontrollers? Whether you're a beginner looking to get started with ESP32-CAM or an experienced developer eager to build real-world applications, this book is your complete guide to mastering IoT surveillance, face recognition, and object detection projects.In ESP32-CAM Edge AI Projects (Vision Systems), you'll learn how to use the ESP32-CAM module to build powerful AI systems that run directly on the device, without needing to send data to the cloud. Using step-by-step instructions and practical examples, you'll unlock the full potential of TinyML to create smarter, faster, and more efficient IoT systems.What's inside: Build real-time IoT surveillance systems with live video streaming and motion detectionCreate your own face recognition applications for security and smart access controlImplement cutting-edge object detection using TinyML and ESP32-CAMOptimize your models for Edge AI to run on low-power devices with maximum efficiencyLearn by doing, with detailed projects, practical exercises, and common troubleshooting tipsWhether you're looking to enhance your skills in Edge AI or you're building your first surveillance system, this book equips you with the knowledge, tools, and confidence to build professional-grade projects. No experience with AI or microcontrollers? No problem. We start with the basics and guide you through every step.Start building smarter systems today with the ESP32-CAM and unlock the future of IoT and Edge AI.Perfect for hobbyists, students, and professionals alike, let your imagination lead the way! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798270325510
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798270325510
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Unlock the Power of Edge AI with ESP32-CAM: A Hands-On Guide to Building Cutting-Edge IoT Surveillance, Face Recognition, and Object Detection SystemsAre you ready to dive into the world of Edge AI and create intelligent systems using one of the most powerful and affordable microcontrollers? Whether you're a beginner looking to get started with ESP32-CAM or an experienced developer eager to build real-world applications, this book is your complete guide to mastering IoT surveillance, face recognition, and object detection projects.In ESP32-CAM Edge AI Projects (Vision Systems), you'll learn how to use the ESP32-CAM module to build powerful AI systems that run directly on the device, without needing to send data to the cloud. Using step-by-step instructions and practical examples, you'll unlock the full potential of TinyML to create smarter, faster, and more efficient IoT systems.What's inside: Build real-time IoT surveillance systems with live video streaming and motion detectionCreate your own face recognition applications for security and smart access controlImplement cutting-edge object detection using TinyML and ESP32-CAMOptimize your models for Edge AI to run on low-power devices with maximum efficiencyLearn by doing, with detailed projects, practical exercises, and common troubleshooting tipsWhether you're looking to enhance your skills in Edge AI or you're building your first surveillance system, this book equips you with the knowledge, tools, and confidence to build professional-grade projects. No experience with AI or microcontrollers? No problem. We start with the basics and guide you through every step.Start building smarter systems today with the ESP32-CAM and unlock the future of IoT and Edge AI.Perfect for hobbyists, students, and professionals alike, let your imagination lead the way! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798270325510
Quantité disponible : 1 disponible(s)