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This weekly report discusses progress made in an INC 281 multidisciplinary workshop. It describes work done with machine vision, including using computer vision software to scan and detect images, applying machine vision to quality control through image processing, and illustrating machine vision concepts through two figures. The report is from a student in the Department of Control System and Instrumentation Engineering at King Mongkut's University of Technology Thonburi.
![[INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT] April 4, 2012
Name-Surname
Student ID. 54261531
Weekly Progress
4
Machine Vision
Scan Detect
Software
Computer Vision
Machine Vision
Machine Vision QC
Image Processing
QC 4
Machine Vision
Machine
Vision
2
Figure
Figure 2. Machine Vision
1.
Machine Vision
Department of Control System and Instrumentation Engineering
KING MONGKUT¡¯s UNIVERSITY OF TECHNOLOGY THONBURI](https://image.slidesharecdn.com/uten-120404105856-phpapp02/85/Uten-1-320.jpg)
![[INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT] April 4, 2012
Department of Control System and Instrumentation Engineering
KING MONGKUT¡¯s UNIVERSITY OF TECHNOLOGY THONBURI](https://image.slidesharecdn.com/uten-120404105856-phpapp02/85/Uten-2-320.jpg)
Uten
- 1. [INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT] April 4, 2012 Name-Surname Student ID. 54261531 Weekly Progress 4 Machine Vision Scan Detect Software Computer Vision Machine Vision Machine Vision QC Image Processing QC 4 Machine Vision Machine Vision 2 Figure Figure 2. Machine Vision 1. Machine Vision Department of Control System and Instrumentation Engineering KING MONGKUT¡¯s UNIVERSITY OF TECHNOLOGY THONBURI
- 2. [INC 281 MULTIDISCIPLINARY WORKSHOP WEEKLY REPORT] April 4, 2012 Department of Control System and Instrumentation Engineering KING MONGKUT¡¯s UNIVERSITY OF TECHNOLOGY THONBURI