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Sharma / Carpenter

Computer Vision and Internet of Things

Technologies and Applications

Medium: Buch
ISBN: 978-1-032-15440-4
Verlag: Taylor & Francis Ltd (Sales)
Erscheinungstermin: 04.10.2024
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Computer 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.

Produkteigenschaften

  • Artikelnummer: 9781032154404
  • Medium: Buch
  • ISBN: 978-1-032-15440-4
  • Verlag: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 04.10.2024
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2024
  • Produktform: Kartoniert
  • Gewicht: 558 g
  • Seiten: 320
  • Format (B x H x T): 178 x 254 x 17 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Part 1 Introduction to Computer Vision and Internet of Things

1. Rise of Computer Vision and Internet of Things

Lavanya Sharma

2. IoE: An Innovative Technology for Future Enhancement

Sudhriti Sengupta

3. An Overview of Security Issues of Internet of Things

Lavanya Sharma, Sudhriti Sengupta, and Nirvikar Lohan

4. Use of Robotics in Real-Time Applications

Lavanya Sharma and Mukesh Carpenter

Part 2 Tools and Technologies of IoT with Computer Vision

5. Preventing Security Breach in Social Media: Threats and Prevention Techniques

Lavanya Sharma

6. Role of Image Processing in Artificial Intelligence and Internet of Things

Sudhriti Sengupta

7. Computer Vision in Surgical Operating Theatre and Medical Imaging

Mukesh Carpenter, Dharmendra Carpenter, Vinod Kumar Jangid, and Lavanya Sharma

Part 3 IoT with Computer Vision for Real-Time Applications

8. Self-Driving Cars: Tools and Technologies

Kavish Gupta, Deepa Gupta, and Lavanya Sharma

9. IoT and Remote Sensing

Yaman Hooda

10. Synthetic Biology and Artificial Intelligence

Vukoman Jokanovic

11. Innovation and Emerging Computer Vision and Artificial Intelligence Technologies in Coronavirus Control

Mukesh Carpenter, Vinod Kumar Jangid, Dharmendra Carpenter, and Lavanya Sharma

12. State of the Art of Artificial Intelligence in Dentistry and Its Expected Future

Vukoman Jokanovic, M. Živkovic, and S. Živkovic

13. Analysis of Machine Learning Techniques for Airfare Prediction

Jaskirat Singh, Deepa Gupta, and Lavanya Sharma

Part 4 Challenging Issues and Novel Solutions

14. CapsNet and KNN-Based Earthquake Prediction Using Seismic and Wind Data

Sandeep Dwarkanath Pande, Soumitra Das, Pramod Jadhav, Amol D. Sawant, Shantanu S. Pathak, and Sunil L. Bangare

15. Computer-Aided Lung Cancer Detection and Classification of CT Images Using Convolutional Neural Network

Nikhil J. Chaudhari, and Lavanya Sharma

16 Real-Time Implementations of Background Subtraction for IoT Applications

Belmar Garcia-Garcia, Thierry Bouwmans, El-Hadi Zahzah, and Kamal Sehairi

17. The Role of Artificial Intelligence in E-Health: Concept, Possibilities, and Challenges

Priyanka Gupta, Hardeo Kumar Thakur, and Alpana