Vision-based Network System for Industrial Applications

Authors: Taweepol Suesut, Arjin Numsomran, Vittaya Tipsuwanporn

Abstract:

This paper presents the communication network for machine vision system to implement to control systems and logistics applications in industrial environment. The real-time distributed over the network is very important for communication among vision node, image processing and control as well as the distributed I/O node. A robust implementation both with respect to camera packaging and data transmission has been accounted. This network consists of a gigabit Ethernet network and a switch with integrated fire-wall is used to distribute the data and provide connection to the imaging control station and IEC-61131 conform signal integration comprising the Modbus TCP protocol. The real-time and delay time properties each part on the network were considered and worked out in this paper.

Keywords: Distributed Real-Time Automation, Machine Visionand Ethernet.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056945

References:

[1] Deryn Graham and Anthony Barrett, "Knowledge-Based Image Processing System", Springer London 1997.
[2] G.S. Virk, P.W.Wood and I.D. Durkacz, "Distributed image processing for the quality control of industrial fabrics", IEE Computer and Control Engineering Journal, November 1990.
[3] S.J.D. Fabbro, "Developing a Distributed Image Processing and Management Framework", Dissertation, University of Adelaide, 2000.
[4] Petrovic, I. Brezak, M. Cuped,R. "Machine Vision based Control of the ball and beam" , 7th International Workshop on Advanced Motion Control, 2002.
[5] Nazrul I. Shaikn, Vittal Prabhu "Vision system for model based control of cryogenic tunnel freezer", Computer in industry 56, Elsevier 2005.
[6] Do Hyoung Kim, Do-Yoon Kim, Hyum Seok Hong and Myung Jin Chung "An Image-Based Control Scheme for an Active Stereo Vision System", IEEE International Conference on Intelligent Robots and Systems, 2004.
[7] Gupta, G.S. Messom, C.H. Demidenko,S. "Vision assisted measurement for optimization of robot motion and position control functions", Instrumentation and Measurement technology Conferrence,2004.
[8] Han, S.H. See, W.H. Lee, M.H. Hanshimoto,H " Image-Based visual servoing control of a SCARA type dual-arm robot", IEEE international Symposium on Industrial Electronics ISIE 2000.
[9] Yodyium Tipsuwan, Mo-Yuen Chow "Control methodologies in networked control systems" , Control Engineering Pratice 11, Pergamon 2003.
[10] http://www.rti.com
[11] K.J.Astrom, T.Hgglund, " PID Controller:Theory ,Design and Tuning", Instrument Society of America, 1995.
[12] Michael Weiss "A Vision-Based Object Tracking Framework for Logistics ans Quality Control in Industrial Environments", Dissertation, University of Leoben, Austria 2000.
[13] Basem AL-Madani "System Design Framework for Real-Time Distributed Industrial Vision System", Dissertation, University of Leoben, Austria 2004.