Description
| Product ID: | 9781032164168 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Computer Vision and Image Analysis for Industry 4.0 |
| Authors: | Author: M. Ali Akber Dewan, Nazmul Siddique, Mohammad Shamsul Arefin, Md Atiqur Rahman Ahad |
| Page Count: | 197 |
| Subjects: | Automatic control engineering, Automatic control engineering, Internet and digital media: arts and performance, Computer vision, Image processing, Graphical & digital media applications, Computer vision, Image processing |
| Description: | Select Guide Rating Computer vision and image analysis play an essential role in 4.0 IR as machine vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-06-12 |
