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A Machine-Vision-Based Intelligent Inspection System for Pharmaceutical Injections

ZHOU Bo-wen WANG Yao-nan GE Ji ZHANG Hui(College of Electronical and Information Engineering,Hunan University,Changsha 410082,China)  
A machine-vision-based intelligent inspection system for pharmaceutical injections is introduced.The wheel mechanical structure for rotational detection and the electric control system based on motion card and data I/0 card are designed.A high-speed camera is applied to obtaining the pharmaceutical injection image sequence.Second-difference and energy accumulation methods are used to identify possible tiny moving targets in the injections.The algorithms for separating air bubbles and visible foreign substances based on support vector machine are proposed and it can accurately determine whether there are tiny visible foreign substances in the injections.The experiments demonstrate that the proposed detection algorithms are effective and the device is feasible.
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