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7.8 MB
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April 21, 2026, 12:44 p.m.
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(Last updated: April 21, 2026, 12:49 p.m.)
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| Kulkarni V. AIoT and Smart Sensing. A Comprehensive Guide..of Smart Devices 2025.pdf | 7.8 MB |
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SOURCE: Kulkarni V. AIoT and Smart Sensing. A Comprehensive Guide..of Smart Devices 2025
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COVER
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MEDIAINFO
Textbook in PDF format AIoT and Smart Sensing: A Comprehensive Guide to the Next Generation of Smart Devices offers an in‑depth exploration of the intersection of Artificial Intelligence of Things (AIoT) and smart sensing technologies. As the convergence of AI and IoT reshapes industries, this book serves as an essential guide for understanding the technological foundations, security protocols, and wide‑ranging applications that make AIoT a transformative force. By examining both foundational and applied aspects, this book aims to provide readers with a holistic view of how AIoT is driving innovation in agriculture, healthcare, smart cities, and beyond. What sets this book apart is its dual focus on technological frameworks and real‑world applications. The first part addresses key security issues, technological innovations, and practical implementations. The second part demonstrates AIoT’s impact on diverse sectors, including agriculture, healthcare, and cultural fields. By linking theory with practice, this book not only introduces cutting‑edge concepts but also showcases their potential for revolutionizing industries. AI-powered anomaly detection for RFID door locks using Arduino and FreeRTOS: In today’s tech-driven world, there is a profound shift in how individuals approach even the most basic aspects of their daily routines. Access control systems are at the forefront of this major revolution in security in particular. More advanced locks that meet the needs of today’s society are progressively replacing traditional locks. With an emphasis on the ground-breaking radio frequency identification (RFID) door lock solution enhanced with AI-based anomaly detection, this chapter sets out to explore this fascinating evolution. The days of struggling with traditional keys and trying to remember complicated passwords are long gone. This system transforms access management by utilizing RFID technology. Through a smooth integration of FreeRTOS with Arduino microcontrollers, a system has been created that prioritizes user ease while strengthening security. Imagine being able to pass through doors with just a card or tag swipe, all the while knowing that state-of-the-art technology, including AI algorithms, is protecting the area. However, the goals go beyond practicality. The guiding principle is that security ought to be adaptable, expandable, and available to all. Whether securing apartment buildings, office buildings, or academic institutions, this RFID door lock solution offers a flexible framework that can be tailored to suit the specific requirements of any given environment. The complexities of this system, from conception to implementation, will be negotiated. The technical challenges encountered and the creative solutions devised to overcome them will be discussed. Additionally, real-world examples and useful applications will be highlighted, demonstrating how the technology can actually improve security and expedite processes. Key features - Comprehensive coverage of AIoT security protocols, including RFID systems, blockchain in healthcare, and multi‑cloud environments in smart cities. - Detailed case studies on precision farming, AI‑driven crop management, and sustainable agriculture. - Exploration of AI innovations in medical diagnostics, chronic healthcare management, and personalized patient care. - Unique cultural applications, such as AI‑based recognition of Carnatic ragas, highlighting AIoT’s versatility. - Future trends in AIoT for healthcare, including advanced monitoring and diagnostic systems. Who is this book for This book is designed for a wide audience, including researchers, professionals, and students in fields such as AI, IoT, healthcare, agriculture, and smart city development. It is an invaluable resource for anyone seeking to understand the future of smart sensing and AIoT‑driven technologies
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