Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence

Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence offers a corpus on intelligent automation systems using computer vision and AI. This book will cover everything from foundational concepts to real-world applications and ethical considerations. The book covers the major role, current trends, challenges, and possible solutions to existing challenges. With the knowledgeable insights of this book, readers gain actionable knowledge with case studies and the integration of various techniques, like facial recognition and natural language processing.

This book contains 22 chapters on intelligent automation systems. The first section presents the study of intelligent automation systems, driven by artificial intelligence. This section further presents studies on the automation system and optimizing data flow management using AI algorithms. The second section provides a study of computer vision and how these systems automate tasks, like object recognition, image classification, and scene understanding. In addition, this section also explores the rapid advancements in computer vision and image processing and provides surveys on how AI enhances mental health services and patient outcomes. The third section explores the interconnection between neuroscience and artificial intelligence. Furthermore, this section provides studies of neural connections and how neuroscience aids in improving learning methods and validating AI models