Reprint

Applications of Computer Vision in Automation and Robotics

Edited by
January 2021
186 pages
  • ISBN978-3-03943-581-4 (Hardback)
  • ISBN978-3-03943-582-1 (PDF)

This book is a reprint of the Special Issue Applications of Computer Vision in Automation and Robotics that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
This book presents recent research results related to various applications of computer vision methods in the widely understood contexts of automation and robotics. As the current progress of image analysis applications may be easily observed in various areas of everyday life, it becomes one of the most essential elements of development of Industry 4.0 solutions. Some of the examples, partially discussed in individual chapters, may be related to the visual navigation of mobile robots and drones, monitoring of industrial production lines, non-destructive evaluation and testing, monitoring of the IoT devices or the 3D printing process and the quality assessment of manufactured objects, video surveillance systems, and decision support in autonomous vehicles.
Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
machine vision; defect inspection; image registration; feature region; contour point distribution; edge gradient direction; augmented reality; calibration; head mounted displays; optical see-through display; computer vision; infrared pedestrian detection; encoder-decoder; attention; convolutional neural network; deep learning; domain adaptation; semantic segmentation; generative adversarial networks; convolutional neural networks; aerial imagery; image processing; fertilizers; distribution; monitoring; component association; semantic segmentation; part recognition; computer vision; feature descriptor; histogram; feature subset selection; industrial objects; sorting; machine vision; k-NN algorithm; transparent plastic granulate; recycling; air nozzles; additive manufacturing; 3D prints; surface quality assessment; machine vision; image analysis; combined metrics; structural similarity; image analysis; machine vision; video analysis; visual inspection and diagnostics; industrial and robotic vision systems