Abstract
A machine-vision-based intelligent inspector is presented. The mechanical structure and electric control system are illustrated in detail. The sub-pixel edge location method is used for confirming the inspection region. The second-difference and energy accumulation method are used for identifying the small moving objects. The algorithms of shape recognition and moving trajectory discrimination are used to extract the foreign substances. A prototype was developed and experimental results demonstrate the feasibility of the inspector. Inspections performed by the prototype have proved the effectiveness and value of proposed algorithms in automatic real-time inspection.
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Acknowledgments
The authors appreciate the close cooperation of Hunan Chinsun Pharmaceutical Machinery CO., LTD. for its technical support and China Jing Brand CO., LTD. for the assistance in experiment sample collection. The authors also thank Mr. Guohua Wang and Yan Liu for the experiment help. This work is supported by National High Technology Research and Development Program of China (2007AA04Z244, 2008AA04Z214) and Major Program of National Natural Science Foundation of China (60835004, 60775047).
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Wang, Y., Zhou, B., Zhang, H. et al. A vision-based intelligent inspector for wine production. Int. J. Mach. Learn. & Cyber. 3, 193–203 (2012). https://doi.org/10.1007/s13042-011-0051-y
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DOI: https://doi.org/10.1007/s13042-011-0051-y