Machine Vision And Augmented Intelligence

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.​

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human-Machine Collaboration is about the process of combining human and machine intelligence. The book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. The book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."--Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, 'AI will not replace managers, but managers who use AI will replace managers who don't.' This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."--Rob Thomas, General Manager, Data and AI, IBM "This book enables managers, data analysts, business leaders, and AI experts to speak a common language, cutting through the jargon and hype to effectively harness augmented intelligence techniques for business decision-making. The authors provide a systematic framework for considering the uses and potential pitfalls of AI and machine learning in supporting business decision-making - always informed and shaped with up-to-date business practices in mind, for the real world where data resources are inherently dynamic and very fast changing." --Stan Sclaroff, Boston University, Dean of the College of Arts & Sciences "From my early days of commercializing IBM Watson, we realized that the real power of AI is not pitting humans against machines but pairing human and machine intelligence to unleash a new level of creativity and productivity at a scale we have never seen before. The authors of this book have done a wonderful job of articulating the real potential of AI - that of pairing human and machine intelligence to unleash a new level of creativity and productivity at a scale we have never seen before. I highly recommend reading this book to get a practical understanding of this complex and important subject." --Manoj Saxena, Chairman, CognitiveScale and AI Global; First General Manager, IBM Watson; Founder and Serial Entrepreneur

Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing. This book explains artificial intelligence models that support assistive processes in different situations. The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing. The book presents 8 chapters on these topics: - Educational data mining in augmented reality virtual learning environment - Brain and computer interfaces - Tree-based tools for chemometric analysis of infrared spectra - Applications of deep learning in medical engineering - Bankruptcy prediction model using an enhanced boosting classifier - Reputation systems for mobile agent security - The crow search algorithm - COVID-19 diagnosis and treatment The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: Motion images object detection over voice using deep learning algorithms Ubiquitous computing and augmented reality in HCI Learning and reasoning in Artificial Intelligence Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

Blending of AI and ARKey featuresThe book believes in the concept of teach by example. All the tools needed to facilitate quick understanding of complex concepts are provided in this book: Definition of key terms Industry studies, research statistics, etc., that clarify concepts Spotlight sections A Word of Caution sections Chapter summaries Questions for reflection Description Artificial Intelligence Meets Augmented Reality: Redefining Regular Reality is a unique book as it presents the new technology paradigm of artificial intelligence (AI) and augmented reality (AR) and its full transition, right from major advantages that enhance entire industries to changing how the world operates at various levels. New realities will emerge in the context of our existing world through the combination of AI-AR. The book presents both the bright and bleak sides of the AI-AR duo in order to give a holistic view and help us to decide how we are going to leverage such technologies-and whether their disruptive or transformative nature-will mar or make the future of our world. A workforce of enlightened engineers is the key to designing and developing AI-AR solutions with responsibility in order to achieve the greater good. Through the book, Chitra Lele has explained a multidisciplinary, integrated approach as to how we can minimize barriers and blend AI and AR without destroying our natural settings. The book will help to chart out a path where there is no trail yet, and get you started on developing AI-AR solutions and experiences in bettering the world in an ethical and responsible manner. What will you learn Dynamics of Artificial Intelligence and Augmented Reality AI and AR Ecosystem Business at the Crossroads of AI and AR What does the AI-AR Marriage Hold for the Future of the World Who this book is forStudents, Academicians, Educationists, Professionals and Policy researchers. Table of contentsPART 1-Dynamics of Artificial Intelligence and Augmented Reality1. Introduction to Artificial Intelligence and Augmented Reality2. AI and AR EcosystemPART 2-Business at the Crossroads of AI and AR3. AI Meets AR in the Business Landscape4. More Dynamics of the AI-AR ConvergencePART 3-What does the AI-AR Marriage Hold for the Future of the World5. Collaboration of Intelligence and Augmentation in the Real World6. Challenges and Solutions7. Where do We Go from HereAbout the authorChitra Lele is a young software consultant, academic author and research scholar. She is a double postgraduate: Master in Computer Management and Master of Science in Software Engineering. Her publications include scholarly articles, research papers and academic books. She has been conferred with the title of "e;A Versatile Writer"e; by the India Book of Records for penning maximum number of books in a short span of eighteen months in various genres.Her LinkedIn Profile: linkedin.com/in/chitraleleauthorandconsultant

This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book provides an excellent sample of current concepts, examples and applications from multiple areas of computer vision. Contents:Range Estimation from Camera Blur by Regularized Adaptive Identification (L F Holeva)Modeling Sensor Confidence for Sensor Integration Tasks (K Hughes & N Ranganathan)From 3-D Scattered Data to Geometric Signal Description: Invariant Stable Recovery of Straight Line Segments (P Hébert et al.)Feature Extraction and Matching as Signal Detection (X-P Hu & N Ahuja)Non-Parametric Multiscale Curve Smoothing (P L Rosin)Integration of Geometric and Non-Geometric Attributes for Fast Object Recognition (L Grewe & A Kak)A Four Degree-of-Freedom Robot Head for Active Vision (F-L Du & M Brady)Control of Eye and Arm Movements Using Active, Attentional Vision (P A Sandon)Behavior-Based Active Vision (C S Pinhanez) Readership: Computer scientists and engineers. keywords: