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Machine Vision for Industry 4. 0: Applications and Case Studies (en Inglés)
Prasenjit Chatterjee
(Ilustrado por)
·
Roshani Raut
(Ilustrado por)
·
Salahddine Krit
(Ilustrado por)
·
CRC Press
· Tapa Dura
Machine Vision for Industry 4. 0: Applications and Case Studies (en Inglés) - Raut, Roshani ; Krit, Salahddine ; Chatterjee, Prasenjit
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Reseña del libro "Machine Vision for Industry 4. 0: Applications and Case Studies (en Inglés)"
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 the 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. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.
