A Study on the Machine Vision Assisted Vibratory Feeding System

Abstract:

Vibratory feeding is the most significant approach for parts orientation and feeding in production; the process of production automation has been seriously hindered due to the problems with low feeding efficiency, high jamming rate. This project combines machine vision and vibratory feeding technology in substitute for the currently used mechanical orientation mechanism, in order to automatically recognize work pieces of different size, shape and color. The special vibratory feeder and frame are designed. According to the system work requirement, in the thesis, the adjustable light source and illumination system are designed, and the CCD camera and optical lens are chosen. The pneumatic actuator is also designed with the microcomputer as the controller. The area, perimeter, dispersion and invariant moment parameters are used in parts type identification. The image centroid is used to confirm parts position. By using the Hough transform, the image edge can be extracted to get the deflection angle. By using Matlab, the image can be captured, processed, analyzed and judged, meanwhile, communicate with actuator and control it.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 1377-1380
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.1377
• Online since: November 2012
• Authors: Liang Han, Li Yu Wang, Guo Ping Hu
• Keywords: Flexible, Identification, Machine Vision, Mechanical Orientation, Vibratory Feeding

References

[1] Boothroyd G, Polio C, Murch L E. Automatic Assembly. New York: Marcel Dekker, (1982)

[2] L Han, W L Xu. Status and Outlook of the Vibratory Feeder. Equipment for Electronic Products Manufacturing, 1999(1)：6-13

[3] L Han, S K Tso. Mechatronic Design and Control of a Flexible Vibratory Feeding System. Proceedings IEEE M2VIP, 2001: 206-213

[4] P Zhang. Talking About Flexible Manufacturing System. China Foreign Investment, 2011 (1) :230-232

[5] Gary P Maul, Chao Ou-Yang. Predicting the Cycle Time for a Sequence of Parts in a Sensor-based Vibratory Bowl Feeder. International Journal of Production Research, Dec 1987, 25 (12): 1705-1714

[6] L Han, C B Li, G P Hu. A Study on the Vision-Based Flexible Vibratory Feeding System. Advanced Materials Research, 2011, 279: 434-439

DOI: 10.4028/www.scientific.net/amr.279.434

[7] Te-Hsiu Sun, Chun-Chieh Tseng, Min-Sheng Chen. Electric Contacts Inspection Using Machine Vision. Image and Vision Computing, 2010, 28: 890–901

DOI: 10.1016/j.imavis.2009.11.006

[8] Cai Chen-yun, Li Xia. State Correction Equipment of Work-piece Based on Machine Vision. Journal of Shaanxi University of Science & Technology, Feb 2011, 29: 20-24

[9] Niko Herakovic, Marko Simic, Francelj Trdic, etal. A machine-vision system for automated quality control of welded rings. Machine Vision and Applications, 2011, 22: 967–981

DOI: 10.1007/s00138-010-0293-9

[10] Rafael C Gonzalez. Digital image processing using Matlab. Beijing: Publishing House of Electronics Industry, (2006)