Industrial Image Processing

Industrial Image Processing
Author: Christian Demant
Publisher: Springer Science & Business Media
Total Pages: 378
Release: 2013-10-01
Genre: Computers
ISBN: 3642339050

This practical introduction focuses on how to design integrated solutions for industrial vision tasks from individual algorithms. The book is now available in a revised second edition that takes into account the current technological developments, including camera technology and color imaging processing. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck® standard software that has proven industrial strength integrated in thousands of applications in real-world production lines. Based on many years of experience in industry, the authors explain all the essential details encountered in the creation of vision system installations. With example material and a demo version of the software found on "extras.springer.com" readers can work their way through the described inspection tasks and carry out their own experiments.

Automated Inspection and Quality Assurance

Automated Inspection and Quality Assurance
Author: Stanley L. Robinson
Publisher: CRC Press
Total Pages: 273
Release: 2017-11-22
Genre: Technology & Engineering
ISBN: 1351465082

Offers new concepts for gaging, inspection, machines vision and robotic testing Includes guidelines for installing complex electronic and computerized systems Presents a directory of commercially available computer software, as well as distributors' names and addresses

Automating Quality Systems

Automating Quality Systems
Author: J.D. Tannock
Publisher: Springer Science & Business Media
Total Pages: 243
Release: 2012-12-06
Genre: Business & Economics
ISBN: 9401123667

Quality is a topical issue in manufacturing. Competitive quality performance still eludes many manufacturers in the traditional industrialized countries. A lack of quality competitiveness is one of the root causes of the relative industrial decline and consequent trade imbalances which plague some Western economies. Many explanations are advanced for poor quality performance. Inadequate levels of investment in advanced technology, together with insufficient education and training of the workforce, are perhaps the most prominent. Some believe these problems are caused by a lack of awareness and commitment from top management, while others point to differences between industrial cultures. The established remedy is known as Total Quality Management (TQM). TQM requires a corporate culture change, driven from the top, and involving every employee in a process of never-ending quality improvement aimed at internal as well as external customers. The techniques deployed to achieve TQM include measures to improve motivation, training in problem-solving and statistical process control (SPC). Quality is, however, only one of the competitive pressures placed It is also upon the manufacturer by the modem global economy. imperative to remain economical and efficient, while increasing the flexibility and responsiveness of the design and manufacturing functions. Here the reduction or elimination of stock is of great importance, particularly as financial interest rates in the less successful manufacturing nations are frequently high. Product life cycles must become ever more compressed in response to the phenomenal design to-manufacture performance of some Pacific rim economies.

A Guide for Machine Vision in Quality Control

A Guide for Machine Vision in Quality Control
Author: Sheila Anand
Publisher: CRC Press
Total Pages: 193
Release: 2019-12-23
Genre: Computers
ISBN: 1000753816

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

Smart Manufacturing

Smart Manufacturing
Author: Anthony Tarantino
Publisher: John Wiley & Sons
Total Pages: 471
Release: 2022-05-10
Genre: Business & Economics
ISBN: 1119846617

Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0 In Smart Manufacturing, The Lean Six Sigma Way, Dr. Anthony Tarantino delivers an insightful and eye-opening exploration of the ways the Fourth Industrial Revolution is dramatically changing the way we manufacture products across the world and especially how it will revitalize manufacturing in North America and Europe. The author examines the role and impact of a variety of new Smart technologies including industrial IoT, computer vision, mobile/edge computing, 3D printing, robots, big data analytics, and the cloud. He demonstrates how to apply these new technologies to over 20 continuous improvement/Lean Six Sigma tools, greatly enhancing their effectiveness and ease of use. The book also discusses the role Smart technologies will play in improving: Career opportunities for women in manufacturing Cyber security, supply chain risk, and logistics resiliency Workplace health, safety, and security Life on the manufacturing floor Operational efficiencies and customer satisfaction Perfect for anyone involved in the manufacturing or distribution of products in the 21st century, Smart Manufacturing, The Lean Six Sigma Way belongs in the libraries of anyone interested in the intersection of technology, commerce, and physical manufacturing.

Automated Inspection and Quality Assurance

Automated Inspection and Quality Assurance
Author: Stanley L. Robinson
Publisher: Routledge
Total Pages: 276
Release: 2017-11-22
Genre: Business & Economics
ISBN: 1351465074

New concepts for gaging, inspection, checking, machine vision, and robotic testing. Includes guidelines for installing complex electronic and computerized systems and a directory of commercially availalbe computer software, as well as distributors' names and addresses. Annotation copyright Book News

Industrial Image Processing

Industrial Image Processing
Author: Christian Demant
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2012-12-06
Genre: Computers
ISBN: 3642585507

This practical introduction focuses on how to build integrated solutions to industrial vision problems from individual algorithms. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck software package, included on CD-ROM.

Advanced Manufacturing and Supply Chain with IoT

Advanced Manufacturing and Supply Chain with IoT
Author:
Publisher: BPB Publications
Total Pages: 389
Release: 2024-02-20
Genre:
ISBN: 9355516134

Mastering the art of leveraging IoT for industry transformation KEY FEATURES ● Learn IoT principles, strategies, and tech for advanced manufacturing and supply chain. ● Understand IoT's role in enhancing competitiveness and innovation. ● Gain insights through real-world case studies and practical examples. DESCRIPTION In the world of industrial manufacturing and supply chain, the lack of real-time visibility and insights into processes poses a significant challenge. However, IoT is set to bring about a profound transformation. This technological revolution promises efficiency gains, operational optimization, and unprecedented business insights. Step into the world of Industry 4.0 and 5.0 with IoT and discover how it revolutionizes production and logistics. Learn about real-time monitoring, predictive maintenance, and quality control while ensuring a secure IoT infrastructure. Explore practical examples in manufacturing, including smart factories, personalized transit, and sustainability practices. Use the potential of AI, predictive analytics, and 3D printing to align your IoT strategies with business goals for enhanced performance. Completing this book equips readers to excel in leveraging IoT for industrial manufacturing and supply chain advancements. They will master IoT concepts, optimize processes, and handle integration challenges. With the acquired knowledge, readers can develop strong IoT strategies, assess project outcomes effectively, and introduce significant improvements to their manufacturing and supply chain operations. WHAT YOU WILL LEARN ● Understanding IoT's role in advanced manufacturing and supply chain. ● Applying IoT for real-time monitoring and predictive maintenance. ● Enhancing production efficiency through IoT-driven solutions. ● Leveraging IoT for supply chain optimization and transparency. ● Overcoming IoT implementation challenges and ensuring security. ● Exploring the future possibilities of IoT and AI in manufacturing. WHO THIS BOOK IS FOR This book is intended for manufacturing, supply chain management, and IoT specialists and enthusiasts with intermediate to advanced knowledge of IoT and its industrial applications. TABLE OF CONTENTS 1. IoT Fundamentals, Architecture, and Protocols 2. Embracing IoT in Manufacturing 3. The Power of IoT in Supply Chain 4. IoT: Use Cases in Smart Factories 5. Business Factors and Optimization for IoT Implementation 6. Challenges and Solutions 7. Artificial Intelligence in Manufacturing 8. The Future of IoT 9. Key Takeaways