Computer Vision and Internet of Things: Technologies and Applications
- Length: 308 pages
- Edition: 1
- Language: English
- Publisher: Chapman & Hall
- Publication Date: 2022-05-20
- ISBN-10: 1032154365
- ISBN-13: 9781032154367
- Sales Rank: #0 (See Top 100 Books)
omputer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. Using a series of present and future applications – including business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health departments, and medical imaging – this book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry.
Key Features
- Covers the challenging issues related to sensors, detection, and tracking of moving objects with solutions to handle relevant challenges
- Describes the latest technological advances in IoT and computer vision with their implementations
- Combines image processing and analysis into a unified framework to understand both IOT and computer vision applications
- Explores mining and tracking of motion-based object data, such as trajectory prediction and prediction of a particular location of object data, and their critical applications
- Provides novel solutions for medical imaging (skin lesion detection, cancer detection, enhancement techniques for MRI images, and automated disease prediction)
This book is primarily aimed at graduates and researchers working in the areas of IoT, computer vision, big data, cloud computing, and remote sensing. It is also an ideal resource for IT professionals and technology developers.
Cover Half Title Page Title Page Copyright Page Dedication Page Table of Contents Preface Editors List of Contributors Acknowledgement Part 1 Introduction to Computer Vision and Internet of Things 1. Rise of Computer Vision and Internet of Things 2. IoE: An Innovative Technology for Future Enhancement 3. An Overview of Security Issues of Internet of Things 4. Use of Robotics in Real-Time Applications Part 2 Tools and Technologies of IoT with Computer Vision 5. Preventing Security Breach in Social Media: Threats and Prevention Techniques 6. Role of Image Processing in Artificial Intelligence and Internet of Things 7. Computer Vision in Surgical Operating Theatre and Medical Imaging Part 3 IoT with Computer Vision for Real-Time Applications 8. Self-Driving Cars: Tools and Technologies 9. IoT and Remote Sensing 10. Synthetic Biology and Artificial Intelligence 11. Innovation and Emerging Computer Vision and Artificial Intelligence Technologies in Coronavirus Control 12. State of the Art of Artificial Intelligence in Dentistry and Its Expected Future 13. Analysis of Machine Learning Techniques for Airfare Prediction Part 4 Challenging Issues and Novel Solutions 14. CapsNet and KNN-Based Earthquake Prediction Using Seismic and Wind Data 15. Computer-Aided Lung Cancer Detection and Classification of CT Images Using Convolutional Neural Network 16 Real-Time Implementations of Background Subtraction for IoT Applications 17. The Role of Artificial Intelligence in E-Health: Concept, Possibilities, and Challenges Index
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