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Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications

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  • Дата: 23-06-2024, 19:10
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Название: Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications
Автор: Alex Khang, Vugar Abdullayev Hajimahmud, Anuradha Misra, Eugenia Litvinova
Издательство: CRC Press
Год: 2025
Страниц: 513
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB

This book covers the basics of machine vision and robotics in the manufacturing industry. Major applicability of intelligent machines and robotics in the manufacturing sector are explored in three major areas of product traceability, remote product-monitoring, supply chain, logistics, and product record management. Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications explains advanced technologies based on Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) related to smart manufacturing applications.

The book introduces the emerging machines and robotics applications that are enabling smart factories initiatives worldwide. The chapters examine labor productivity, factory device installation, and defective product detection. The authors share modern models, emerging technologies, designs, frameworks, theories, practices, and sustainable approaches to design and implement machine vision with industrial robotics. They also examine the challenging issues associated with the leveraging of technologies related to machine vision, computer vision, robotics, Internet of Things, Industrial Internet of Things technologies, Artificial Intelligence-equipped machines, applications, and automatic techniques for intelligent manufacturing systems and smart factory infrastructure in the era of Industry 4.0 manufacturing. The authors also examine topics such as the role of existing management and production solutions, their limitations, and future directions in manufacturing industry.

Machine Vision is the vision system integrated into machines and equipment used in industry that “sees” what work these devices are doing and makes decisions accordingly. In other words, Machine Vision is intelligent systems that see the environment using sensors. It is an integrated intelligent system that uses the capabilities of a computer to see objects in the environment, obtain information about their state, analyze this information, and implement a decision-making process. Machine Vision is also known as Intelligent Vision. Machine Vision is mainly applied in specific areas, especially in manufacturing industries. Machine Vision uses cameras to capture visual information from the environment. It then processes the images using a combination of hardware and software and prepares the data for use in various applications. Machine Vision technology often uses special optics to acquire images. This approach allows to process, analyze, and measure certain features of the image.

In today’s era where automation and efficiency are paramount, computer vision has emerged as a fundamental technology for enhancing productivity and quality control in manufacturing processes. This chapter provides a comprehensive understanding of computer vision, its underlying principles, and its core components. It explores the wide range of applications where computer vision is extensively employed in manufacturing, including quality inspection, defect detection, and robotic guidance and control. The integration of computer vision with Artificial Intelligence (AI) and Machine Learning (ML) is also examined, showcasing the advanced functionalities enabled by this combination. The chapter addresses the challenges and considerations in implementing computer vision solutions in manufacturing, such as lighting conditions and occlusions, and discusses techniques to overcome these challenges. Furthermore, it discusses future trends and emerging technologies in computer vision for manufacturing, such as 3D vision and collaborative robotics, which are expected to revolutionize manufacturing processes.

This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of machine vision, Artificial Intelligence, Industrial Internet of Things, computer vision, and robotic technologies from different industries and economics.


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