Research on Workpiece Sorting System Based on Machine Vision Mechanism
Affiliation(s)
College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China.
College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China.
ABSTRACT
This paper describes industrial sorting system, which is based on robot vision technology, introduces main image processing methodology used during development, and simulates algorithm with Matlab. Besides, we set up image processing algorithm library via C# program and realize recognition and location for regular geometry workpiece. Furthermore, we analyze camera model in vision algorithm library, calibrate the camera, process the image series, and resolve the identify problem for regular geometry workpiece with different colours.
This paper describes industrial sorting system, which is based on robot vision technology, introduces main image processing methodology used during development, and simulates algorithm with Matlab. Besides, we set up image processing algorithm library via C# program and realize recognition and location for regular geometry workpiece. Furthermore, we analyze camera model in vision algorithm library, calibrate the camera, process the image series, and resolve the identify problem for regular geometry workpiece with different colours.
Cite this paper
Yan, J. and Yang, H. (2015) Research on Workpiece Sorting System Based on Machine Vision Mechanism. Intelligent Control and Automation, 6, 1-9. doi: 10.4236/ica.2015.61001.
Yan, J. and Yang, H. (2015) Research on Workpiece Sorting System Based on Machine Vision Mechanism. Intelligent Control and Automation, 6, 1-9. doi: 10.4236/ica.2015.61001.
References
[1] Zhuang, K.L., Wang, J.Z. and Zhou, J. (2011) Application of Machine Vision Technology in Terms of Angle Detection. Equipment Manufacturing Technology, 4, 9-11. [2] El Masry, G., Cubero, S. and Molto, E. (2012) In-Line Sourting of Irregular Potatoes by Using Automated Computer-Based Machine Vision System. Journal of Food Engineering, 112, 60-68.
http://dx.doi.org/10.1016/j.jfoodeng.2012.03.027 [3] Liu, Z.Y., Zhao, B. and Zou, F.S. (2012) Machine Vision Technology in the Sorting of the Workpiece. Computer Applications and Software, 29, 87-91. [4] Quan, H.H. and Zhang, L.P. (2007) Research on Machine Vision-Based Assembly Line Parts Recognition. Modular Machine Tool & Automatic Manufacturing Technique, 12, 58-60. [5] Forsyth, D.A. and Ponce, J. (2002) Computer Vision: A Modern Approach. Prentice Hall, New Jersey. [6] Shapiro, R. (1976) Direct Linear Transformation Method for Three-Dimensional Cinematography. Research Quarterly, 49, 197-205. [7] Ou, X.Y., Hou, X.Z. and Zheng, K. (2012) Machine Vision Based Automatic Teaching System of Six DOF Robot. Manufacturing Automation, 34, 1-4.
[1] Zhuang, K.L., Wang, J.Z. and Zhou, J. (2011) Application of Machine Vision Technology in Terms of Angle Detection. Equipment Manufacturing Technology, 4, 9-11. [2] El Masry, G., Cubero, S. and Molto, E. (2012) In-Line Sourting of Irregular Potatoes by Using Automated Computer-Based Machine Vision System. Journal of Food Engineering, 112, 60-68.
http://dx.doi.org/10.1016/j.jfoodeng.2012.03.027 [3] Liu, Z.Y., Zhao, B. and Zou, F.S. (2012) Machine Vision Technology in the Sorting of the Workpiece. Computer Applications and Software, 29, 87-91. [4] Quan, H.H. and Zhang, L.P. (2007) Research on Machine Vision-Based Assembly Line Parts Recognition. Modular Machine Tool & Automatic Manufacturing Technique, 12, 58-60. [5] Forsyth, D.A. and Ponce, J. (2002) Computer Vision: A Modern Approach. Prentice Hall, New Jersey. [6] Shapiro, R. (1976) Direct Linear Transformation Method for Three-Dimensional Cinematography. Research Quarterly, 49, 197-205. [7] Ou, X.Y., Hou, X.Z. and Zheng, K. (2012) Machine Vision Based Automatic Teaching System of Six DOF Robot. Manufacturing Automation, 34, 1-4.