Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence
eBook - PDF

Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence

  1. 541 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence

About this book

The book is essential for anyone seeking to understand and leverage the transformative power of intelligent automation technologies, providing crucial insights into current trends, challenges, and effective solutions that can significantly enhance operational efficiency and decision-making within organizations.

Intelligent automation systems, also called cognitive automation, use automation technologies such as artificial intelligence, business process management, and robotic process automation, to streamline and scale decision-making across organizations. Intelligent automation simplifies processes, frees up resources, improves operational efficiencies, and has a variety of applications. Intelligent automation systems aim to reduce costs by augmenting the workforce and improving productivity and accuracy through consistent processes and approaches, which enhance quality, improve customer experience, and address compliance and regulations with confidence. Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence explores the significant role, current trends, challenges, and potential solutions to existing challenges in the field of intelligent automation systems, making it an invaluable guide for researchers, industry professionals, and students looking to apply these innovative technologies.

Readers will find the volume:

  • Offers comprehensive coverage on intelligent automation systems using computer vision and AI, covering everything from foundational concepts to real-world applications and ethical considerations;
  • Provides actionable knowledge with case studies and best practices for intelligent automation systems, computer vision, and AI;
  • Explores the integration of various techniques, including facial recognition, natural language processing, neuroscience and neuromarketing.

Audience

The book is designed for AI and data scientists, software developers and engineers in industry and academia, as well as business leaders and entrepreneurs who are interested in the applications of intelligent automation systems.

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Yes, you can access Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence by Rupali Gill,Susheela Hooda,Durgesh Srivastava,Shilpi Harnal in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Toward a Smarter Future: The Role of AI in Transforming Automation Systems
  8. Chapter 2 Industry 5.0: Mapping the Lens from Know How to Realization
  9. Chapter 3 Intelligent Automation System Integration in Mobile and Industrial Robotics for Enhanced Performance and Efficiency
  10. Chapter 4 Automation of Data Flow Management Based on Artificial Intelligence in Systems with an Internal Distribution Mechanism
  11. Chapter 5 Robotic Process Automation (RPA) and Virtual Reality Implementation in Engineering Education
  12. Chapter 6 Ethical Issues of Intelligent Automation Systems
  13. Chapter 7 IAS and Facial Recognition System
  14. Chapter 8 An Image Synthesis Using Progressive Generative Adversarial Networks (PGANs)
  15. Chapter 9 Future Direction in Sign Language Recognition: A Review
  16. Chapter 10 Understanding Computer Vision for Intelligent Autonomous Systems
  17. Chapter 11 Computer Vision and Artificial Intelligence for Intelligence Automation Systems (IAS)
  18. Chapter 12 Neural Network Approaches for Intelligent Decision-Making in Automation
  19. Chapter 13 A Novel Approach for Object Detection Technique Using Deep Learning
  20. Chapter 14 Role of AI in Mental Health Care
  21. Chapter 15 Application Areas of Computer Vision and AI in Intelligent Automation Systems
  22. Chapter 16 A Real-Time Speech-Text Conversion System Using Deep Learning Technique
  23. Chapter 17 Transforming the Evaluation: The Crucial Role of Natural Language Processing in Intelligent Automation System
  24. Chapter 18 IAS and Its Impact in Neuroscience
  25. Chapter 19 Intelligent Automation Systems (IAS) and Its Application in Neuroscience
  26. Chapter 20 A Neuromarketing Framework for Data-Driven Intelligent Automation in Marketing
  27. Chapter 21 Neuroscience and Intelligent Automation System
  28. Chapter 22 Unveiling the Visual World Through AI-Powered Computer Vision
  29. Index
  30. EULA