Real Time Defects of Beer Bottle Detection System Based on DSP


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The paper analyses the problem of beer bottles detection techniques on the beer bottles production line, uses digital image processing technique on the beer bottles online defect detection. The paper puts forward the designing ideas of the hardware, developing flow of the software and the algorithm of beer bottles detection. TMSDM642 is used to set up the real-time video processing system of the hardware .The hardware system is mainly composed of three parts: the part of memory, the part of the input and the part of the output. When beer bottles are put into the work area, the video images of the bottle-mouth and bottle-bottom will be gained by the CCD camera, firstly, preprocessing is used to eliminate video image noise. Secondly, the image segmentation algorithm is used to detect defects in video images. Lastly the goal of extracting defects will be accomplished. The experimental result indicated that this system may effectively exam the flaw or the unqualified beer bottles.



Key Engineering Materials (Volumes 392-394)

Edited by:

Guanglin Wang, Huifeng Wang and Jun Liu




B. Ren et al., "Real Time Defects of Beer Bottle Detection System Based on DSP", Key Engineering Materials, Vols. 392-394, pp. 414-418, 2009

Online since:

October 2008




[1] L. Zhao and T.G. Liu: Journal of Electronic Measurement and Instrument, Vol. 21 (2007), p.86.

[2] S.B. Bo, M.D. Yan and Y. Sun: Computing Technology and Automation, Vol. 25 (2006), p.51.

[3] Y.G. Zhou and C.S. Jiang: Electronic Optics & Control, Vol. 13 (2006), p.100.

[4] Y.F. Han and P.F. Shi: Measurement and Control Technology, Vol. 24 (2005), p.15.

[5] H. Zhang, Z.H. Lei and X.H. Ding: Journal of Image and Graphics, Vol. 9 (2004), p.408.

[6] Z. Li and L.H. Guo: Micro-Computer Information, Vol. 22 (2006), p.224.

[7] B.Q. Chen and M. Sun: Practical Image Processing in Visual C + + (Tsinghua University Publications, Beijing 2004).