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Machine Vision for Industry 4.0 : Applications and Case Studies

Title: Machine Vision for Industry 4.0 : Applications and Case Studies
Author: Prasenjit Chatterjee, Roshani Raut, Salahddine Krit
ISBN: 036763712X / 9780367637125
Format: Hard Cover
Pages: 336
Publisher: CRC Press
Year: 2022
Availability: 2 to 3 weeks

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This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications.

Industry 4.0, the fourth industrial revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance.

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Preface

Chapter 1 : Challenges in Industry 4.0 for Machine Vision : A Conceptual Framework, A Review, and Numerous Case Studies
Chapter 2 : Practical Issues in Robotics Internet of Things
Chapter 3 : Role of Sensing Techniques in Precision Agriculture
Chapter 4 : Perspectives on Deep Learning Techniques for Industrial IOT
Chapter 5 : Missing Person Locator and Identifier Using Artificial Intelligence and Supercomputing Techniques Proposal
Chapter 6 : Inclusion of Impaired People in Industry 4.0 : An Approach to Recognize Orders of Deaf-Mute Supervisors Through an Intelligent Sign Language Recognition System
Chapter 7 : A Deep Learning Approach to Classify the Causes of Depression from Reddit Posts
Chapter 8 : Psychiatric Chatbot for COVID-19 Using Machine Learning Approaches
Chapter 9 : An Analysis of Drug – Drug Interaction (DI) Using Machine Learning Techniques in Drug Development Process
Chapter 10 : Image Processing Based Fire Detection Using IOT Devices
Chapter 11 : Crowd Estimation in Train by Using Machine Vision
Chapter 12 : Analysis of Machine Learning Algorithm to Predict Wine Quality
Chapter 13 : Machine Vision in Industry 4.0 : Applications, Challenges and Future Direction’s
Chapter 14 : Industry 5.0 : The Integration of Modern Technologies

Index

 

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