The week's pick
Random Articles
Reseach Article
A ROADMAP FOR DESIGNING AN AUTOMATED VISUAL INSPECTION SYSTEM
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 19 |
| Year of Publication: 2010 |
| Authors: D.Palani Kumar, K. Kannan |
10.5120/407-603
|
D.Palani Kumar, K. Kannan . A ROADMAP FOR DESIGNING AN AUTOMATED VISUAL INSPECTION SYSTEM. International Journal of Computer Applications. 1, 19 ( February 2010), 34-37. DOI=10.5120/407-603
Abstract
The new machine vision that is emerging is already generating millions of dollars per year in thousands of successful applications. Machine vision is becoming established as a successful tool for industrial automation where 100 % inspection of manufactured parts during production is becoming a reality. Two-thirds of applications of machine vision are found in quality control in which objects are categorized using its dimensions in metric measurements that are extracted from its 2D-pixel image. Building a machine vision system requires careful selection of appropriate sensor, lens, extraction and integration of information from the available cues, sensed data and evaluation of system performance and robustness. In this paper, it is proposed to provide a roadmap with an overview of Imaging system, Radiometric and Geometric Modeling to design a machine vision system with the illustration of design of automated visual inspection system to image new bottles on a conveyor line at a distance of 100 cm from the camera in order to ensure 30 mm diameter of the bottle neck.
References
- Kannan. K., Muruganantham. C., and Jawahar. N., May 24&25, 2004, Radial Alignment Constraint Based CCD Camera Calibration using 2D high accuracy target, Challenges in achieving Global Quality, Thiagarajar College of Engineering, Madurai, Proceedings, pp 100-107.
- Kannan. K., Suresh Babu. R., Gamishilbha. G. and Dhanalakshmi. S. V., Jan 7&8, 2005, Geometric and Radiometric Model of Imaging System for Robotic Vision, Competitive Manufacturing Technology and Management for Global Marketing, Crescent Engineering College, Chennai, Proceedings, pp 49-54.
- Kannan. K., Karpagavalli. K. and Sivasankari. K., Mar 17&18, 2005, Design of Imaging System for Machine Vision Applications, Recent Trends in Design and Manufacturing Technologies, Kumaraguru College of Technology, Coimbatore, Proceedings.
- A.R. Rao, Future directions in industrial machine vision: a case study of semiconductor manufacturing applications, Image and Vision Computing 14 (1996) 3-19.
- R.T. Chin, Automated visual inspection-1981 to 1987, Computer Vision Graphics and Image Processing 41 (1988) 346-381.
- O. Mohtadi, J. Sanz, Recent progress in industrial machine vision, International Journal of Robotics and Automation 8 (1993) 44-66.
- T.S. Newman, A.K. Jain, A survey of automated visual inspection, Computer Vision and Image Understanding 61 (1995) 231-262.
- A.D.H. Thomas, M.G. Rodd, J.D. Holt, C.J. Neill, Real-time industrial visual inspection: a review, Real-Time Imaging 1 (1995) 139-158.
- A.M. Wallace, Industrial applications of computer vision since 1982, IEE Proc. E Comp. Digital Tech. 135 (1988) 117-136.
- Awcock GJ, Thomas R. Applied image processing. London: Mac Millan New Press Ltd.; 1995.
- Spotlight on robotics, Vision System Design, May 2003.
- Spotlight, Vision System Design, July 2002.
- Robots & Vision, Vision System Design, July 2003.
Index Terms
Keywords