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WU Bin, HU Yan-yan, XIAO Ai-min, HE Cun-fu, SONG Guo-rong. Study on Machine Vision Based on Bottle Inspecting System[J]. Journal of Beijing University of Technology, 2007, 33(2): 134-139.
Citation: WU Bin, HU Yan-yan, XIAO Ai-min, HE Cun-fu, SONG Guo-rong. Study on Machine Vision Based on Bottle Inspecting System[J]. Journal of Beijing University of Technology, 2007, 33(2): 134-139.

Study on Machine Vision Based on Bottle Inspecting System

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  • Received Date: November 02, 2005
  • Available Online: December 15, 2022
  • For the purpose of detecting bottle flaws automatically with the computer vision technology, this paper analyzes the optical characteristics of the bottle flaws and studies the technology of image acquisition, image pre-processing, image segmentation, flaw recognition and peripheral device communication and control in the procedure of flaw detection. It implement a on-line flaw detection system based on computer vision technology which is suitable for the lab environment. The result demonstrates that the system can effectively inspect the defective empty bottles.

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